Journal Articles

Rejuvenating endogenous antitumor immunity via a chimeric receptor-engineered oncolytic virus targeting tumor-associated macrophages

(1) Lin C (2) Li S (3) Lou R (4) Teng W (5) Tian Y (6) Feng C (7) Wang N (8) Rao Y (9) Qin Y (10) Li L (11) Huang X (12) Lin Y (13) Zhang J (14) Xia N (15) Huang C

Science advances | Free PMC Article

Lin et al. engineered an oncolytic herpesvirus (oHSV) with a PD-L1 nanobody attached to gD on the viral envelope surface (gDαPD- L1), targeting the virus to both tumors and TAMs expressing PD-L1. In addition to its oncolytic activity, this CAR-oHSV also resulted in the presentation of anti-PD-L1 CARs on infected cells, blocking PD-L1 in cis. In TAMs, CAR-oHSV killed a subset of TAMs, while remaining TAMs were reprogrammed via STING activation towards a CXCL9+ antigen-presenting phenotype that supported CD8+ T cell-mediated antitumor immunity. CAR-oHSV was well tolerated and showed synergy with checkpoint blockade and adoptive cell therapy.

Contributed by Lauren Hitchings

(1) Lin C (2) Li S (3) Lou R (4) Teng W (5) Tian Y (6) Feng C (7) Wang N (8) Rao Y (9) Qin Y (10) Li L (11) Huang X (12) Lin Y (13) Zhang J (14) Xia N (15) Huang C

Science advances | Free PMC Article

Lin et al. engineered an oncolytic herpesvirus (oHSV) with a PD-L1 nanobody attached to gD on the viral envelope surface (gDαPD- L1), targeting the virus to both tumors and TAMs expressing PD-L1. In addition to its oncolytic activity, this CAR-oHSV also resulted in the presentation of anti-PD-L1 CARs on infected cells, blocking PD-L1 in cis. In TAMs, CAR-oHSV killed a subset of TAMs, while remaining TAMs were reprogrammed via STING activation towards a CXCL9+ antigen-presenting phenotype that supported CD8+ T cell-mediated antitumor immunity. CAR-oHSV was well tolerated and showed synergy with checkpoint blockade and adoptive cell therapy.

Contributed by Lauren Hitchings

ABSTRACT: Immunosuppressive tumor-associated macrophages (TAMs) create a barrier to effective antitumor immunity and promote therapeutic resistance. Reeducating TAMs to enhance their antitumor capabilities through phenotypic remodeling remains challenging. Here, we report a modular oncolytic herpesvirus platform, engineered with a PD-L1-specific chimeric receptor integrated into the viral envelope protein (CAR-oHSV). This design endows the virus with dual tropism, enabling it to target both tumor cells and TAMs within the tumor microenvironment. In virus-resistant tumor models, CAR-oHSV preferentially targets PD-L1(+) TAMs and triggers a STING-dependent reprogramming into a CXCL9(+) phenotype, enhancing their tumor antigen cross-presentation capability and inducing an endogenous antitumor T cell response. Furthermore, this platform can synergize with adoptive T cell therapy and immune checkpoint blockade therapy to overcome immunotherapy resistance. Collectively, our findings define a precision-oncolytic platform that dismantles TAM-mediated immunosuppression while amplifying adaptive immunity, offering a promising translational avenue for cancer immunotherapy.

Author Info: (1) State Key Laboratory of Vaccines for Infectious Diseases, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China. National Institu

Author Info: (1) State Key Laboratory of Vaccines for Infectious Diseases, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China. National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, 361102, China. (2) State Key Laboratory of Vaccines for Infectious Diseases, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China. National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, 361102, China. (3) State Key Laboratory of Vaccines for Infectious Diseases, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China. National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, 361102, China. (4) State Key Laboratory of Vaccines for Infectious Diseases, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China. National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, 361102, China. (5) State Key Laboratory of Vaccines for Infectious Diseases, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China. National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, 361102, China. (6) State Key Laboratory of Vaccines for Infectious Diseases, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China. National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, 361102, China. (7) State Key Laboratory of Vaccines for Infectious Diseases, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China. National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, 361102, China. (8) State Key Laboratory of Vaccines for Infectious Diseases, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China. National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, 361102, China. (9) State Key Laboratory of Vaccines for Infectious Diseases, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China. National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, 361102, China. (10) State Key Laboratory of Vaccines for Infectious Diseases, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China. National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, 361102, China. (11) State Key Laboratory of Vaccines for Infectious Diseases, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China. National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, 361102, China. (12) State Key Laboratory of Vaccines for Infectious Diseases, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China. National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, 361102, China. (13) State Key Laboratory of Vaccines for Infectious Diseases, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China. National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, 361102, China. (14) State Key Laboratory of Vaccines for Infectious Diseases, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China. National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, 361102, China. School of Life Sciences, Xiamen University, Xiamen, 361102, China. (15) State Key Laboratory of Vaccines for Infectious Diseases, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, 361102, China. National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen, 361102, China.

Citation: Sci Adv 2026 Sep 18 12:eaef6767 Epub09/18/2026

Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42758830

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Inducible IL-12 or IL-18 secreting CAR T cells targeting the glyco-antigen CD176 exhibit potent activity against non-small cell lung cancer in preclinical models

(1) Malinconico C (2) Weber J (3) Polzien AJ (4) Bonifacius A (5) Umland M (6) Deveuve Q (7) Bargmann T (8) Zimmermann K (9) Gellert J (10) Neubert L (11) DŸbel S (12) Schambach A (13) Braun A (14) Blasczyk R (15) Abken H (16) Hudecek M (17) Dragon AC (18) Eiz-Vesper B

Cancer immunology research

Malinconico et al. engineered T cells with both a CAR targeting CD176 (expressed in NSCLC and other tumors), and an inducible cassette encoding either IL-18 or IL-12 that would be expressed following CAR activation of NF-κB. The resulting CD176-iIL18 or CD176-iIL12 TRUCKs showed antigen-dependent secretion of IL-18/IL-12, increased effector molecules, and heightened THP-1 monocyte chemoattraction. They also showed increased cytotoxicity and antitumor activity in vitro, against patient explants, and in vivo, and performed best when both CD4+ and CD8+ T cells were included. TRUCKs producing IL-12 outperformed those producing IL-18, but with more toxicity.

Contributed by Lauren Hitchings

(1) Malinconico C (2) Weber J (3) Polzien AJ (4) Bonifacius A (5) Umland M (6) Deveuve Q (7) Bargmann T (8) Zimmermann K (9) Gellert J (10) Neubert L (11) DŸbel S (12) Schambach A (13) Braun A (14) Blasczyk R (15) Abken H (16) Hudecek M (17) Dragon AC (18) Eiz-Vesper B

Cancer immunology research

Malinconico et al. engineered T cells with both a CAR targeting CD176 (expressed in NSCLC and other tumors), and an inducible cassette encoding either IL-18 or IL-12 that would be expressed following CAR activation of NF-κB. The resulting CD176-iIL18 or CD176-iIL12 TRUCKs showed antigen-dependent secretion of IL-18/IL-12, increased effector molecules, and heightened THP-1 monocyte chemoattraction. They also showed increased cytotoxicity and antitumor activity in vitro, against patient explants, and in vivo, and performed best when both CD4+ and CD8+ T cells were included. TRUCKs producing IL-12 outperformed those producing IL-18, but with more toxicity.

Contributed by Lauren Hitchings

ABSTRACT: To date, non-small cell lung cancer (NSCLC) remains the leading cause of cancer-related deaths worldwide, underscoring the urgent need for new treatment options. The oncofetal carbohydrate CD176 is masked on healthy tissues but is present on a variety of cancer entities and is associated with cancer invasiveness and metastasis. In this study, we employed chimeric antigen receptor T cells (CAR-Ts) directed against CD176 for treatment of NSCLC. CD176-CAR-Ts were optimized with an additional inducible cassette encoding IL-18 (CD176-iIL18-TRUCKs) or IL-12 (CD176-iIL12-TRUCKs) to augment antitumor reactivity through autocrine and paracrine signaling. CD176-iIL18- and CD176-iIL12-TRUCKs eradicate NSCLC cells in a 3D tumor spheroid model and tissue slices derived from lung adenocarcinoma patients more potently than CD176-CAR-Ts. Administration of TRUCKs in a lung carcinoma xenograft mouse model results in partial or complete tumor eradication in all mice treated with CD176-iIL12-TRUCKs and in 50% of mice treated with CD176-iIL18-TRUCKs. This study highlights the potential of CD176 as a CAR-T-cell target and suggest CD176-CAR-Ts armored with IL-18 or IL-12 as promising new therapeutic approach for the treatment of NSCLC and several other CD176-positive cancer entities.

Author Info: (1) Italian Institute of Technology Napoli Italy. ROR: https://ror.org/042t93s57 (2) University Hospital WŸrzburg WŸrzburg Germany. (3) Hannover Medical School Hannover Germany. (4

Author Info: (1) Italian Institute of Technology Napoli Italy. ROR: https://ror.org/042t93s57 (2) University Hospital WŸrzburg WŸrzburg Germany. (3) Hannover Medical School Hannover Germany. (4) Medizinische Hochschule Hannover Hannover Germany. ROR: https://ror.org/00f2yqf98 (5) Hannover Medical School Hannover Germany. (6) UniversitŠtsklinikum WŸrzburg WŸrzburg Germany. (7) Fraunhofer Institute for Toxicology and Experimental Medicine Hannover, Lower Saxony Germany. ROR: https://ror.org/02byjcr11 (8) Medizinische Hochschule Hannover Hannover Germany. ROR: https://ror.org/00f2yqf98 (9) Glycotope GmbH Berlin Germany. (10) Medizinische Hochschule Hannover Hannover, Low Saxony Germany. ROR: https://ror.org/00f2yqf98 (11) Technische UniversitŠt Braunschweig Braunschweig Germany. ROR: https://ror.org/010nsgg66 (12) Medizinische Hochschule Hannover Hannover Germany. ROR: https://ror.org/00f2yqf98 (13) Fraunhofer Institute for Toxicology and Experimental Medicine Hannover, Lower Saxony Germany. ROR: https://ror.org/02byjcr11 (14) Medizinische Hochschule Hannover Hannover Germany. ROR: https://ror.org/00f2yqf98 (15) Leibniz Institute for Immunotherapy and Univ Regensberg Regensburg Germany. (16) UniversitŠtsklinikum WŸrzburg WŸrzburg Germany. ROR: https://ror.org/03pvr2g57 (17) Medizinische Hochschule Hannover Hannover Germany. ROR: https://ror.org/00f2yqf98 (18) Medizinische Hochschule Hannover Hannover Germany. ROR: https://ror.org/00f2yqf98

Citation: Cancer Immunol Res 2026 Sep 22 Epub09/22/2026

Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42770707

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Reprogramming engineered autologous T cells to overcome resistance in patients with Merkel cell carcinoma Spotlight 

(1) Asano Y (2) Veatch JR (3) Sung CJ (4) Tang TH (5) Mazziotta F (6) Natsuki S (7) McAfee M (8) Bakhtiari J (9) Lee B (10) Martin L (11) Rizzi A (12) Zhang T (13) Smith CW (14) Paulson KG (15) Schmitt TM (16) Newell EW (17) Elz AE (18) Chen DG (19) Su Y (20) Gustafson HH (21) Yeung CCS (22) Seaton B (23) Hunter D (24) Koelle DM (25) Bhatia S (26) Hall ET (27) Voillet V (28) Cao J (29) Gooley T (30) Greenberg PD (31) Gottardo R (32) Oda SK (33) Nghiem P (34) Chapuis AG

Science translational medicine

Asano, Veatch, and Sung et al. identified TCRMCC1, a high-avidity HLA-A*02:01-restricted TCR targeting Merkel cell polyomavirus large-T antigen and treated seven patients who had ICI-refractory metastatic MCC using autologous TCRMCC1-transduced T cells plus ICB. TTCR-MCC1 cells trafficked to tumors and induced regression in two patients, but HLA class I silencing limited activity. In one patient, delayed regression coincided with endogenous effector T cell activation and restored tumor HLA expression. TTCR-MCC1 cells armored with CD8αβ and a CD200R-CD28 switch receptor showed enhanced tumor infiltration, HLA expression, and control of HLA-low MCC in vivo.

Contributed by Shishir Pant

(1) Asano Y (2) Veatch JR (3) Sung CJ (4) Tang TH (5) Mazziotta F (6) Natsuki S (7) McAfee M (8) Bakhtiari J (9) Lee B (10) Martin L (11) Rizzi A (12) Zhang T (13) Smith CW (14) Paulson KG (15) Schmitt TM (16) Newell EW (17) Elz AE (18) Chen DG (19) Su Y (20) Gustafson HH (21) Yeung CCS (22) Seaton B (23) Hunter D (24) Koelle DM (25) Bhatia S (26) Hall ET (27) Voillet V (28) Cao J (29) Gooley T (30) Greenberg PD (31) Gottardo R (32) Oda SK (33) Nghiem P (34) Chapuis AG

Science translational medicine

Asano, Veatch, and Sung et al. identified TCRMCC1, a high-avidity HLA-A*02:01-restricted TCR targeting Merkel cell polyomavirus large-T antigen and treated seven patients who had ICI-refractory metastatic MCC using autologous TCRMCC1-transduced T cells plus ICB. TTCR-MCC1 cells trafficked to tumors and induced regression in two patients, but HLA class I silencing limited activity. In one patient, delayed regression coincided with endogenous effector T cell activation and restored tumor HLA expression. TTCR-MCC1 cells armored with CD8αβ and a CD200R-CD28 switch receptor showed enhanced tumor infiltration, HLA expression, and control of HLA-low MCC in vivo.

Contributed by Shishir Pant

ABSTRACT: Immune checkpoint inhibitors (ICIs) have transformed Merkel cell carcinoma (MCC) outcomes, but most patients with MCC develop resistance. We identified T cell receptor (TCR)MCC1, a highly avid, HLA-A*02:01-restricted TCR targeting the Merkel cell polyomavirus (MCPyV) oncoprotein large-T antigen15-23. Seven patients with ICI-refractory metastatic MCPyV+ MCC received TCRMCC1-transduced cells (TTCR-MCC1 cells) after lymphodepleting chemotherapy or HLA-enhancing interventions [radiation or interferon gamma-1b (Actimmune)], with concurrent ICIs (NCT03747484). TTCR-MCC1 cells trafficked to tumor sites and expressed a gene expression profile compatible with T cell activation, with tumor regression observed in two patients. However, therapeutic activity was limited by HLA class I silencing, a common mechanism of immune escape in MCC. In one patient, delayed tumor regression coincided with endogenous effector immune activation and restoration of MCC HLA expression, implying that robust local responses could reverse HLA silencing. To overcome this barrier, we engineered CD4 and CD8 TTCR-MCC1 cells to coexpress CD8αβ and a CD200R-CD28 switch receptor, enabling CD4 T cell engagement and T cell costimulation. These modifications enhanced tumor infiltration, increased HLA expression, and improved control of HLAlow MCC in vivo in mice. These findings support the feasibility of TCR-engineered cell therapy for MCPyV+ MCC and provide a blueprint for overcoming immune evasion via targeted localized enhancement of antigen presentation.

Author Info: (1) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (2) Translational Science and Therapeutics Division, Fred Hutchinson Can

Author Info: (1) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (2) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA. (3) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (4) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (5) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA. (6) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (7) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (8) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA. (9) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (10) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (11) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (12) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (13) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (14) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA. (15) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (16) Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA. Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (17) Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (18) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (19) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (20) Department of Pediatrics, University of Washington School of Medicine, Seattle, WA 98195, USA. Ben Towne Center for Childhood Cancer and Blood Disorders Research, Seattle Children's Research Institute, Seattle, WA 98105, USA. (21) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA. (22) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (23) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (24) Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA. Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA. Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Global Health, University of Washington School of Medicine, Seattle, WA 98195, USA. Benaroya Research Institute, Seattle, WA 98101, USA. (25) Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA. Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (26) Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA. Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (27) Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (28) Shared Resources, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (29) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. (30) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA. Department of Immunology, University of Washington School of Medicine, Seattle, WA 98195, USA. Parker Institute for Cancer Immunotherapy, San Francisco, CA 94129, USA. (31) Biomedical Data Science Center, Centre Hospitalier Universitaire Vaudois, 1010 Lausanne, Switzerland. University of Lausanne, 1015 Lausanne, Switzerland. School of Life Sciences, EPFL, 1015 Lausanne, Switzerland. (32) Department of Pediatrics, University of Washington School of Medicine, Seattle, WA 98195, USA. Ben Towne Center for Childhood Cancer and Blood Disorders Research, Seattle Children's Research Institute, Seattle, WA 98105, USA. (33) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA. Department of Dermatology, University of Washington School of Medicine, Seattle, WA 98195, USA. (34) Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Department of Medicine, University of Washington School of Medicine, Seattle, WA 98195, USA.

Citation: Sci Transl Med 2026 Sep 9 18:eaea8773 Epub09/09/2026

Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42715345

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γδ T cells modulate anti-tumor immunity in small cell lung cancer

Spotlight 

(1) Ng J (2) You Y (3) Zhang TZ (4) Hess JB (5) Best SA (6) Caneborg A (7) Schmiel M (8) Diepstraten ST (9) Spelman T (10) Gray JI (11) Godfrey DI (12) Wu Y (13) Tothill RW (14) Anttila CJA (15) Baldwin TM (16) Naik SH (17) Amann-Zalcenstein D (18) Kersbergen AJ (19) Leong TL (20) George J (21) Ritchie ME (22) Gherardin NA (23) Koay HF (24) Hickey PF (25) Steinfort D (26) Sutherland KD

Cancer cell

Using scRNA sequencing, Ng et al. compared LN biopsy samples (non-affected vs. tumor-affected) from SCLC patients to study the antitumor role of MHC-I-independent pathways. Despite being PD-1+, γδ T cells were cytotoxic, infiltrated patient samples, and predicted better outcomes with anti-PD-L1 in patients with high levels of γδ T cells. In preclinical models, γδ T cells were as effective as CD8+ T cells in tarlatamab (DLL3–CD3 BiTE)-redirected SCLC killing, while zoledronate sensitized SCLC cells to Vδ2+ T cell-mediated killing and promoted spontaneous γδ T cell-mediated MHC-I-independent SCLC killing that required BTN2A1.

Contributed by Katherine Turner

(1) Ng J (2) You Y (3) Zhang TZ (4) Hess JB (5) Best SA (6) Caneborg A (7) Schmiel M (8) Diepstraten ST (9) Spelman T (10) Gray JI (11) Godfrey DI (12) Wu Y (13) Tothill RW (14) Anttila CJA (15) Baldwin TM (16) Naik SH (17) Amann-Zalcenstein D (18) Kersbergen AJ (19) Leong TL (20) George J (21) Ritchie ME (22) Gherardin NA (23) Koay HF (24) Hickey PF (25) Steinfort D (26) Sutherland KD

Cancer cell

Using scRNA sequencing, Ng et al. compared LN biopsy samples (non-affected vs. tumor-affected) from SCLC patients to study the antitumor role of MHC-I-independent pathways. Despite being PD-1+, γδ T cells were cytotoxic, infiltrated patient samples, and predicted better outcomes with anti-PD-L1 in patients with high levels of γδ T cells. In preclinical models, γδ T cells were as effective as CD8+ T cells in tarlatamab (DLL3–CD3 BiTE)-redirected SCLC killing, while zoledronate sensitized SCLC cells to Vδ2+ T cell-mediated killing and promoted spontaneous γδ T cell-mediated MHC-I-independent SCLC killing that required BTN2A1.

Contributed by Katherine Turner

ABSTRACT: Small cell lung cancer (SCLC) is a highly aggressive neoplasm with limited sensitivity to anti-PD-(L)1 blockade, which is likely caused by the epigenetic silencing of MHC-I. Elucidating MHC-I-independent immune recognition mechanisms is therefore crucial for enhancing treatment responses and improving clinical outcomes in a greater number of patients. Leveraging single-cell approaches, we discovered γδ T cell infiltration in biospecimens from patients with SCLC. Despite PD-1 expression, γδ T cells maintained a cytotoxic transcriptional profile, suggesting an anti-tumor role. Indeed, high γδ T cell infiltration in two practice-changing clinical trials predicted improved response to anti-PD-L1 immunotherapy in patients with SCLC. Moreover, using preclinical models, we demonstrated that γδ T cells are effective at tarlatamab (delta-like ligand 3 [DLL3]-CD3 bispecific T cell engager [BiTE])-redirected SCLC killing and that zoledronate, an FDA-approved compound, can sensitize SCLC cells to γδ T cell-mediated killing. Thus, our findings suggest that engaged γδ T cells are potentially valuable targets for SCLC therapy.

Author Info: (1) ACRF Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The Univers

Author Info: (1) ACRF Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia. Electronic address: ng.ji@wehi.edu.au. (2) Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia; Genetics and Gene Regulation Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia. (3) Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC 3010, Australia. (4) ACRF Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia. (5) ACRF Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia. (6) Collaborative Centre for Genomic Cancer Medicine, The University of Melbourne, Parkville, VIC 3010, Australia; Department of Clinical Pathology, The University of Melbourne, Parkville, VIC 3010, Australia. (7) Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany; Institute of Pathology, Faculty of Medicine and University of Hospital Cologne, University of Cologne, 50931 Cologne, Germany. (8) Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia; Blood Cells and Blood Cancer Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia. (9) Clinical Translation, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; School of Medicine, Adelaide University, Adelaide, SA 5000, Australia; Department of Clinical Neuroscience, Karolinska Institute, 171 77 Stockholm, Sweden; Centre for Health Services Research, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (10) Department of Microbiology and Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA. (11) Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC 3010, Australia. (12) Centre for Inflammation Biology and Cancer Immunology, King's College London, London SE1 9RT, UK; Department of Medical Oncology, Guy's Hospital, London SE1 9RT, UK. (13) Collaborative Centre for Genomic Cancer Medicine, The University of Melbourne, Parkville, VIC 3010, Australia; Department of Clinical Pathology, The University of Melbourne, Parkville, VIC 3010, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. (14) WEHI Advanced Genomics Facility and Single Cell Open Research Endeavour (SCORE), Advanced Technology and Biology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia. (15) WEHI Advanced Genomics Facility and Single Cell Open Research Endeavour (SCORE), Advanced Technology and Biology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia. (16) Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia; Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia. (17) WEHI Advanced Genomics Facility and Single Cell Open Research Endeavour (SCORE), Advanced Technology and Biology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia. (18) ACRF Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia. (19) Department of Respiratory Medicine, Austin Health, Heidelberg, VIC 3084, Australia; Olivia Newton-John Cancer Research Institute, Heidelberg, VIC 3084, Australia; Department of Medicine, The University of Melbourne, Parkville, VIC 3010, Australia. (20) Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50931 Cologne, Germany; Department of Otorhinolaryngology, Head and Neck Surgery, Faculty of Medicine and University Hospital Cologne, University Hospital of Cologne, 50931 Cologne, Germany. (21) Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia; Genetics and Gene Regulation Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia. (22) Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC 3010, Australia. (23) Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC 3010, Australia. (24) Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia; Genetics and Gene Regulation Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia. (25) Department of Medicine, The University of Melbourne, Parkville, VIC 3010, Australia; Department of Respiratory and Sleep Medicine, The Royal Melbourne Hospital, Parkville, VIC 3050, Australia. (26) ACRF Cancer Biology and Stem Cells Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3052, Australia; Department of Medical Biology, The University of Melbourne, Parkville, VIC 3010, Australia. Electronic address: sutherland.k@wehi.edu.au.

Citation: Cancer Cell 2026 Sep 18 Epub09/18/2026

Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42759517

Tags:

In vivo genome-wide CRISPR screens of human T cells in solid tumours Spotlight 

(1) Liu Q (2) Chen PA (3) Urs E (4) Zhang S (5) Arce MM (6) Wang CH (7) Yan J (8) Nguyen VQ (9) Li Z (10) Seo J (11) Kale N (12) Peng F (13) Luo Y (14) Goudy L (15) LaFlam TN (16) Zhong H (17) Modak C (18) Dann E (19) Jung JH (20) Kirane A (21) Warner AB (22) Quach BB (23) Good Z (24) Shy BR (25) Shifrut E (26) Bapat SP (27) Allen GM (28) Eyquem J (29) Fuh K (30) Dodgson SE (31) Cyster JG (32) Marson A (33) Carnevale J

Nature

Liu et al. developed a genome-wide in vivo CRISPR screening platform using a T cell-attracting anti-CD3 scFv-expressing A375 tumor model and primary human T cells to identify in vivo regulators of intratumoral T cell abundance and effector function. The abundance screen identified P2RY8-Gα13 as a negative regulator of T cell tumor infiltration, whereas the IFNγ-based functional screen identified GNAS as a key driver of intratumoral T cell dysfunction. GNAS deletion enhanced CAR- and TCR-T cell fitness and efficacy across solid tumor models. P2RY8 and GNAS dual-knockout CAR T cells showed increased infiltration and improved tumor control.

Contributed by Shishir Pant

(1) Liu Q (2) Chen PA (3) Urs E (4) Zhang S (5) Arce MM (6) Wang CH (7) Yan J (8) Nguyen VQ (9) Li Z (10) Seo J (11) Kale N (12) Peng F (13) Luo Y (14) Goudy L (15) LaFlam TN (16) Zhong H (17) Modak C (18) Dann E (19) Jung JH (20) Kirane A (21) Warner AB (22) Quach BB (23) Good Z (24) Shy BR (25) Shifrut E (26) Bapat SP (27) Allen GM (28) Eyquem J (29) Fuh K (30) Dodgson SE (31) Cyster JG (32) Marson A (33) Carnevale J

Nature

Liu et al. developed a genome-wide in vivo CRISPR screening platform using a T cell-attracting anti-CD3 scFv-expressing A375 tumor model and primary human T cells to identify in vivo regulators of intratumoral T cell abundance and effector function. The abundance screen identified P2RY8-Gα13 as a negative regulator of T cell tumor infiltration, whereas the IFNγ-based functional screen identified GNAS as a key driver of intratumoral T cell dysfunction. GNAS deletion enhanced CAR- and TCR-T cell fitness and efficacy across solid tumor models. P2RY8 and GNAS dual-knockout CAR T cells showed increased infiltration and improved tumor control.

Contributed by Shishir Pant

ABSTRACT: Large-scale CRISPR screening in human T cells holds significant promise for identifying genetic modifications that enhance cellular immunotherapy. Yet, many regulators of T cell performance in solid tumours are not revealed in vitro(1,2). In vivo screening in tumour-bearing mice is more physiological but has been limited by low intratumoural T cell recovery. Here we developed an in vivo model that efficiently recovers human T cells from solid tumours, permitting genome-wide CRISPR screens with few mice. Tumour-infiltrating T cells from this model exhibit hallmarks of dysfunction compared with splenic T cells, creating an ideal screening context. We performed two genome-wide CRISPR knockout screens to identify regulators of intratumoural T cell abundance and effector function. The abundance screen revealed the P2RY8-G_13 GPCR signalling axis as a negative regulator of T cell tumour infiltration. The effector function screen identified GNAS as a key driver of T cell dysfunction in tumours, whose product, G_s, acts as a convergent node downstream of multiple GPCRs sensing distinct suppressive ligands. Knockout of GNAS rendered T cells resistant to multiple suppressive cues and significantly improved efficacy across diverse solid tumour models in chimeric antigen receptor (CAR) and T cell receptor (TCR) systems. Combinatorial knockout of P2RY8-GNAS further enhanced tumour control, demonstrating that complementary in vivo screens can identify orthogonal targets whose combined editing improves therapeutic potency. This flexible, scalable platform can be adapted for systematic discovery of genetic strategies to improve solid tumour T cell therapies.

Author Info: (1) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. qi.liu3@ucsf.edu. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA

Author Info: (1) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. qi.liu3@ucsf.edu. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. qi.liu3@ucsf.edu. (2) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. (3) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. (4) Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. (5) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. (6) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. (7) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. (8) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. UCSF CoLabs, University of California San Francisco, San Francisco, CA, USA. Department of Surgery, University of California San Francisco, San Francisco, CA, USA. Diabetes Center, University of California San Francisco, San Francisco, CA, USA. (9) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. (10) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. (11) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. (12) Department of Microbiology and Immunology and Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA. (13) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. (14) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. (15) Department of Microbiology and Immunology and Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA. Division of Pediatric Rheumatology, Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA. (16) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. (17) Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. (18) Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA. (19) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. (20) Department of Surgery, Stanford University School of Medicine, Stanford, CA, USA. (21) Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. (22) Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, CA, USA. Division of Computational Medicine, Department of Medicine, Stanford University, Stanford, CA, USA. (23) Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, CA, USA. Division of Computational Medicine, Department of Medicine, Stanford University, Stanford, CA, USA. Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA. Weill Cancer Hub West, Stanford University and University of California, San Francisco, CA, USA. (24) Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. Weill Cancer Hub West, Stanford University and University of California, San Francisco, CA, USA. Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA. UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA. (25) Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel. George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel. Dotan Center for Advanced Therapies, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel. (26) Weill Cancer Hub West, Stanford University and University of California, San Francisco, CA, USA. Department of Pathology, University of California San Francisco, San Francisco, CA, USA. (27) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA. Weill Cancer Hub West, Stanford University and University of California, San Francisco, CA, USA. UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA. (28) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA. Weill Cancer Hub West, Stanford University and University of California, San Francisco, CA, USA. (29) Department of OB/Gyn, Center for Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA. (30) Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. (31) Department of Microbiology and Immunology and Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA. (32) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA. Weill Cancer Hub West, Stanford University and University of California, San Francisco, CA, USA. UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA. Institute for Human Genetics (IHG), University of California San Francisco, San Francisco, CA, USA. Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA. Innovative Genomics Institute, University of California Berkeley, Berkeley, CA, USA. (33) Department of Medicine, University of California San Francisco, San Francisco, CA, USA. julia.carnevale@ucsf.edu. Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA. julia.carnevale@ucsf.edu. Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA. julia.carnevale@ucsf.edu. Weill Cancer Hub West, Stanford University and University of California, San Francisco, CA, USA. julia.carnevale@ucsf.edu. UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA. julia.carnevale@ucsf.edu.

Citation: Nature 2026 Aug 12 Epub08/12/2026

Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42587162

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Scalable generation of hematopoietic stem cell-engineered off-the-shelf mono-specific cytotoxic T cells targeting solid tumors Spotlight 

(1) Zhu Y (2) Yu J (3) Kim YJ (4) Tian Y (5) Li Z (6) Chen Y (7) Lyu Z (8) Zhu E (9) Zhao AS (10) Ma N (11) Zhang C (12) Kramer A (13) Wilson M (14) Hon R (15) Wang YC (16) Lin S (17) Shen X (18) Hahn Z (19) Zhang Y (20) Wang A (21) Li YR (22) Yang L

Cell reports. Medicine

Zhu and Yu et al. developed and characterized a scalable, feeder-free, high-yield platform that generated allogeneic NY-ESO-1-specific cytotoxic T (AlloESO-T) cells from cord blood-derived hematopoietic stem and progenitor cells. Compared to PBMC-derived TCR-T cells, monospecific AlloESO-T cells showed superior cytotoxicity (with dual TCR and NKR targeting), solid tumor homing, HLA-independence, durable killing persistence (with IL-15), and enhanced efficacy in solid tumor models. AlloESO-T cells, which lack endogenous TCRs, exhibited an improved safety profile and minimal GvHD or /cytokine release syndrome risk in vitro and in vivo.

Contributed by Katherine Turner

(1) Zhu Y (2) Yu J (3) Kim YJ (4) Tian Y (5) Li Z (6) Chen Y (7) Lyu Z (8) Zhu E (9) Zhao AS (10) Ma N (11) Zhang C (12) Kramer A (13) Wilson M (14) Hon R (15) Wang YC (16) Lin S (17) Shen X (18) Hahn Z (19) Zhang Y (20) Wang A (21) Li YR (22) Yang L

Cell reports. Medicine

Zhu and Yu et al. developed and characterized a scalable, feeder-free, high-yield platform that generated allogeneic NY-ESO-1-specific cytotoxic T (AlloESO-T) cells from cord blood-derived hematopoietic stem and progenitor cells. Compared to PBMC-derived TCR-T cells, monospecific AlloESO-T cells showed superior cytotoxicity (with dual TCR and NKR targeting), solid tumor homing, HLA-independence, durable killing persistence (with IL-15), and enhanced efficacy in solid tumor models. AlloESO-T cells, which lack endogenous TCRs, exhibited an improved safety profile and minimal GvHD or /cytokine release syndrome risk in vitro and in vivo.

Contributed by Katherine Turner

ABSTRACT: Adoptive T cell therapy for solid tumors is limited by autologous manufacturing complexity and, in allogeneic settings, risks including graft-versus-host disease (GvHD), HLA restriction, and donor variability. We develop a scalable, feeder-free platform to differentiate gene-engineered hematopoietic stem and progenitor cells (HSPCs) into allogeneic, NY-ESO-1-specific cytotoxic T ((Allo)ESO-T) cells. Product phenotype, function, tumor homing, and safety are assessed against solid tumor models and benchmarked to peripheral blood mononuclear cell (PBMC)-derived TCR-engineered T cells. (Allo)ESO-T cells display a uniform cytotoxic phenotype, with dual tumor targeting through a transgenic TCR and natural killer receptors. Relative to PBMC-derived counterparts, (Allo)ESO-T cells show superior cytotoxicity, selective solid-tumor homing, durable killing persistence, and resilience to immune evasion. They also maintain low GvHD and cytokine release syndrome risk, while retaining stable hypoimmunogenic features. These findings establish HSPC-derived (Allo)ESO-T cells as an off-the-shelf, mono-specific cytotoxic T cell therapy with scalable manufacturing, enhanced efficacy, and improved safety, which support broad applicability of (Allo)ESO-T cells across solid tumors.

Author Info: (1) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los A

Author Info: (1) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (2) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (3) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (4) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (5) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (6) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (7) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (8) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (9) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (10) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (11) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (12) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (13) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (14) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (15) Department of Medicine, Division of Cardiology, UCLA, Los Angeles, CA 90095, USA. (16) Department of Biomedical Engineering, University of California, Davis, Davis, CA 95616, USA. (17) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (18) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (19) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. (20) Department of Biomedical Engineering, University of California, Davis, Davis, CA 95616, USA. (21) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA. Electronic address: charlie.li@ucla.edu. (22) Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA; Department of Bioengineering, UCLA, Los Angeles, CA 90095, USA; Eli and Edythe Broad Centre of Regenerative Medicine and Stem Cell Research, UCLA, Los Angeles, CA 90095, USA; Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, CA 90095, USA; Molecular Biology Institute, UCLA, Los Angeles, CA 90095, USA; Parker Institute for Cancer Immunotherapy, UCLA, Los Angeles, CA 90095, USA; Goodman-Luskin Microbiome Center, UCLA, Los Angeles, CA 90095, USA. Electronic address: liliyang@ucla.edu.

Citation: Cell Rep Med 2026 Aug 19 102998 Epub08/19/2026

Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42617602

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Synthetic transcription factors designed by domain recombination enhance CAR T cell antitumor function Spotlight 

(1) Takacsi-Nagy O (2) Kasinathan S (3) Hartman A (4) Yin Y (5) Wu L (6) Chen AY (7) Moser LM (8) May AP (9) Reeder GC (10) Celallos Fuentes E (11) Kernick C (12) Lu J (13) McClellan AK (14) Raposo CJ (15) Terrall B (16) Theberath NE (17) Yan PK (18) Xu P (19) Sotillo E (20) Eyquem J (21) Mackall CL (22) Roth TL (23) Satpathy AT

Cell

Takacsi-Nagy et al. generated a library of synthetic T cell Transcription Factors (sTFs) through combinatorial assembly of AP-1 family TF subdomains. Expressed in CAR-T cells, certain sTFs improved CAR-T persistence/proliferation over natural TFs in a chronic stimulation assay. sTFs induced unique transcriptional and epigenetic T cell states from natural TFs, although their DNA binding sites were conserved. One combination (JUN-FOS-BATF) especially improved cytotoxicity and in vivo persistence. The most impactful subdomains did not correlate with natural expression levels. Recombination of ETS and FOX family TF domains was also effective.

Contributed by Alex Najibi

(1) Takacsi-Nagy O (2) Kasinathan S (3) Hartman A (4) Yin Y (5) Wu L (6) Chen AY (7) Moser LM (8) May AP (9) Reeder GC (10) Celallos Fuentes E (11) Kernick C (12) Lu J (13) McClellan AK (14) Raposo CJ (15) Terrall B (16) Theberath NE (17) Yan PK (18) Xu P (19) Sotillo E (20) Eyquem J (21) Mackall CL (22) Roth TL (23) Satpathy AT

Cell

Takacsi-Nagy et al. generated a library of synthetic T cell Transcription Factors (sTFs) through combinatorial assembly of AP-1 family TF subdomains. Expressed in CAR-T cells, certain sTFs improved CAR-T persistence/proliferation over natural TFs in a chronic stimulation assay. sTFs induced unique transcriptional and epigenetic T cell states from natural TFs, although their DNA binding sites were conserved. One combination (JUN-FOS-BATF) especially improved cytotoxicity and in vivo persistence. The most impactful subdomains did not correlate with natural expression levels. Recombination of ETS and FOX family TF domains was also effective.

Contributed by Alex Najibi

ABSTRACT: Human protein-coding genes evolved via rearrangement of domains from ancestral genes. We develop a scalable, evolutionarily guided method to assemble novel genes from constituent domains within a protein family, termed DESynR (domain engineered via synthesis and recombination) genes. In primary human T cells, DESynR activator protein-1 (AP-1) transcription factors (TFs) significantly outperform natural AP-1 TFs across in vitro and in vivo antitumor assays. DESynR AP-1 TFs induce broad transcriptional and epigenetic reprogramming and establish non-natural T cell states that optimize features of exhaustion, effector and cytotoxic function, and persistence-sometimes co-opting gene modules from disparate cell types. Reprogramming is primarily driven by differential regulation of established AP-1-bound regulatory elements rather than unique binding. Finally, we screen DESynR erythroblast transformation-specific (ETS) and forkhead box (FOX) TFs to support generalizability across protein families. Overall, we demonstrate that reconfiguring existing protein domains may uncover non-evolved genes that program therapeutically relevant cell states.

Author Info: (1) Department of Pathology, Stanford University, Stanford, CA, USA; Center for Immunotherapy Design, Stanford University, Stanford, CA, USA; Program in Immunology, Stanford Univer

Author Info: (1) Department of Pathology, Stanford University, Stanford, CA, USA; Center for Immunotherapy Design, Stanford University, Stanford, CA, USA; Program in Immunology, Stanford University, Stanford, CA, USA. (2) Center for Immunotherapy Design, Stanford University, Stanford, CA, USA; Division of Allergy, Immunology, and Rheumatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. (3) Department of Pathology, Stanford University, Stanford, CA, USA; Center for Immunotherapy Design, Stanford University, Stanford, CA, USA; Department of Genetics, Stanford University, Stanford, CA, USA. (4) Department of Pathology, Stanford University, Stanford, CA, USA; Center for Immunotherapy Design, Stanford University, Stanford, CA, USA. (5) Department of Pathology, Stanford University, Stanford, CA, USA; Center for Immunotherapy Design, Stanford University, Stanford, CA, USA. (6) Department of Pathology, Stanford University, Stanford, CA, USA; Center for Immunotherapy Design, Stanford University, Stanford, CA, USA; Department of Bioengineering, Stanford University, Stanford, CA, USA. (7) Department of Pathology, Stanford University, Stanford, CA, USA; Center for Immunotherapy Design, Stanford University, Stanford, CA, USA. (8) Program in Immunology, Stanford University, Stanford, CA, USA; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA. (9) Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA. (10) Department of Pathology, Stanford University, Stanford, CA, USA. (11) Department of Pathology, Stanford University, Stanford, CA, USA; Center for Immunotherapy Design, Stanford University, Stanford, CA, USA. (12) Department of Pathology, Stanford University, Stanford, CA, USA; Center for Immunotherapy Design, Stanford University, Stanford, CA, USA. (13) Department of Pathology, Stanford University, Stanford, CA, USA; Center for Immunotherapy Design, Stanford University, Stanford, CA, USA. (14) Department of Pathology, Stanford University, Stanford, CA, USA; Center for Immunotherapy Design, Stanford University, Stanford, CA, USA; Program in Immunology, Stanford University, Stanford, CA, USA. (15) Department of Pathology, Stanford University, Stanford, CA, USA. (16) Department of Pathology, Stanford University, Stanford, CA, USA; Center for Immunotherapy Design, Stanford University, Stanford, CA, USA. (17) Department of Pathology, Stanford University, Stanford, CA, USA; Center for Immunotherapy Design, Stanford University, Stanford, CA, USA; Program in Immunology, Stanford University, Stanford, CA, USA. (18) Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA. (19) Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA; Weill Cancer Hub West, Stanford, CA, USA. (20) Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA; Department of Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA; Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Weill Cancer Hub West, Stanford, CA, USA. (21) Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA; Ludwig Center for Cancer Stem Cell Research and Medicine, Stanford University School of Medicine, Stanford, CA, USA; Weill Cancer Hub West, Stanford, CA, USA. (22) Department of Pathology, Stanford University, Stanford, CA, USA; Center for Immunotherapy Design, Stanford University, Stanford, CA, USA; Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Weill Cancer Hub West, Stanford, CA, USA. Electronic address: troth@stanford.edu. (23) Department of Pathology, Stanford University, Stanford, CA, USA; Center for Immunotherapy Design, Stanford University, Stanford, CA, USA; Program in Immunology, Stanford University, Stanford, CA, USA; Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA; Weill Cancer Hub West, Stanford, CA, USA. Electronic address: satpathy@stanford.edu.

Citation: Cell 2026 Aug 19 Epub08/19/2026

Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42617595

Tags:

IL7-Receptor-Targeted CAR T-Cell Therapy for T-Cell Acute Lymphoblastic Leukemia Spotlight 

(1) Hocine HR (2) Ganbaatar U (3) Amador-Molina A (4) Banerjee S (5) Misawa K (6) Rubino V (7) Ankola P (8) Fong C (9) Xiong Y (10) Vista WR (11) Bellis RY (12) Chintala NK (13) Curran KJ (14) Sulis ML (15) Park JH (16) Kung AL (17) Adusumilli PS

Nature communications

Hocine, Ganbaatar, and Amador-Molina et al. developed an IL7Rα (CD127)-targeted chimeric antigen receptor (CAR) T cells and demonstrated their efficacy against T-ALL in vitro and in vivo, including in a patient-derived xenograft model using matched patient-derived CAR T cells. Low-affinity CAR T cells outperformed high-affinity cells, but maintained higher expression of CD127, putting them at risk of fratricide after tumor eradication. To reduce fratricide, genetic KO of CD127, a natural selection method, and co-culture with dasatinib (a tyrosine kinase inhibitor), during manufacturing were each tested, with dasatinib emerging as the most viable option.

Contributed by Lauren Hitchings

(1) Hocine HR (2) Ganbaatar U (3) Amador-Molina A (4) Banerjee S (5) Misawa K (6) Rubino V (7) Ankola P (8) Fong C (9) Xiong Y (10) Vista WR (11) Bellis RY (12) Chintala NK (13) Curran KJ (14) Sulis ML (15) Park JH (16) Kung AL (17) Adusumilli PS

Nature communications

Hocine, Ganbaatar, and Amador-Molina et al. developed an IL7Rα (CD127)-targeted chimeric antigen receptor (CAR) T cells and demonstrated their efficacy against T-ALL in vitro and in vivo, including in a patient-derived xenograft model using matched patient-derived CAR T cells. Low-affinity CAR T cells outperformed high-affinity cells, but maintained higher expression of CD127, putting them at risk of fratricide after tumor eradication. To reduce fratricide, genetic KO of CD127, a natural selection method, and co-culture with dasatinib (a tyrosine kinase inhibitor), during manufacturing were each tested, with dasatinib emerging as the most viable option.

Contributed by Lauren Hitchings

ABSTRACT: On the basis that T-cell acute lymphoblastic leukemia (T-ALL) cells overexpress IL7 receptor (IL7R), which promotes resistance to chemotherapy and disease relapse, here we develop IL7Rα (CD127)-targeted chimeric antigen receptor (CAR) T cells with low- and high-affinity single-chain variable fragments. We establish the antitumor efficacy of CD127 CAR against T-ALL cells in vitro, in female mouse models of T-ALL, and against blasts from patients with T-ALL using the patients' own T cells transduced with CD127 CAR. Antitumor efficacy is higher with low-affinity CAR T cells than high-affinity CAR T cells, albeit with fratricide of CAR T cells following eradication of CD127-overexpressing blasts. CRISPR-Cas9 knockout of CD127 eliminates fratricide at the risk of prolonged lymphopenia in vivo. To overcome fratricide, we investigate short-term ( < 7 days) co-culture with or without dasatinib, a tyrosine kinase inhibitor, versus a natural selection method (10 days) and demonstrate that co-culturing with dasatinib facilitates higher CAR T-cell yield, improved fitness, and preserved functionality. In vivo, dasatinib can be used to temporarily and reversibly suppress CAR T-cell activity. With this supporting translational data, we are initiating a trial with low-affinity CD127 CAR T cells for adult and pediatric patients with relapsed or refractory T-ALL.

Author Info: (1) Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (2) Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer

Author Info: (1) Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (2) Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (3) Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (4) Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (5) Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (6) Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (7) Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (8) Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York, USA. (9) Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (10) Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (11) Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (12) Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. (13) Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York, USA. (14) Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York, USA. (15) Cellular Therapy Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA. (16) Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York, USA. (17) Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA. adusumip@mskcc.org. Cellular Therapy Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, USA. adusumip@mskcc.org.

Citation: Nat Commun 2026 Jul 15 Epub07/15/2026

Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42457686

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Enhancement of ferroptosis in escape variant tumor cells by IFN-γ derived from antigen-specific T cells controls tumor with heterogeneity

Spotlight 

(1) Ehara D (2) Yasui K (3) Yoneda M (4) Muraoka D (5) Deng S (6) Miao P (7) Jiang C (8) Sun H (9) Okamoto S (10) Amaishi Y (11) Murota H (12) Ikeda H

Cancer immunology research

To enhance immunotherapy efficacy against escape variant clones, Ehara et al. combined MART-1 TCR-T cells with the ferroptosis inducer RSL3. IFNγ secreted by the TCR-T cells enhanced the susceptibility of melanoma cells to ferroptosis. In mice injected with an equal mix of 526MEL and β2mKO cells, the combination treatment inhibited tumor growth, including reduction of the HLA-negative tumor mass, and significantly increased T cell infiltration compared to controls. In patients with melanoma, high expression of IFNγ signature genes STAT1 and IRF1 and low expression of SLC2A2 (counteracting ferroptosis) predicted better outcomes.

Contributed by Ute Burkhardt

(1) Ehara D (2) Yasui K (3) Yoneda M (4) Muraoka D (5) Deng S (6) Miao P (7) Jiang C (8) Sun H (9) Okamoto S (10) Amaishi Y (11) Murota H (12) Ikeda H

Cancer immunology research

To enhance immunotherapy efficacy against escape variant clones, Ehara et al. combined MART-1 TCR-T cells with the ferroptosis inducer RSL3. IFNγ secreted by the TCR-T cells enhanced the susceptibility of melanoma cells to ferroptosis. In mice injected with an equal mix of 526MEL and β2mKO cells, the combination treatment inhibited tumor growth, including reduction of the HLA-negative tumor mass, and significantly increased T cell infiltration compared to controls. In patients with melanoma, high expression of IFNγ signature genes STAT1 and IRF1 and low expression of SLC2A2 (counteracting ferroptosis) predicted better outcomes.

Contributed by Ute Burkhardt

ABSTRACT: Tumor masses often exhibit heterogeneity, including escape variant clones that lack antigen-presenting machinery and/or tumor antigens, which poses a major challenge to immunotherapy. Ferroptosis, a form of regulated cell death driven by iron-dependent lipid peroxidation, has been shown to effectively induce cell death in various tumor cells. Recent studies have reported that IFN-γ suppresses the expression of System Xc-, thereby enhancing the induction of ferroptosis. Based on this, we hypothesized that combining immunotherapy with ferroptosis inducers could enhance antitumor effects against both antigen-positive and antigen-negative tumor cells. We found that combining RSL3, a ferroptosis inducer, with MART-1-specific TCR-T cells eradicates a heterogeneous tumor model consisting of human melanoma cells and their β2 microglobulin knockout counterparts. In NOG mice, this combination therapy demonstrates a significant antitumor effect against tumors with heterogeneity. These findings suggest that integrating ferroptosis inducers with immunotherapy could overcome the limitations imposed by escape variant tumor clones, offering a promising strategy for cancer treatment.

Author Info: (1) Nagasaki University Nagasaki Japan. ROR: https://ror.org/058h74p94 (2) Nagasaki University Nagasaki Japan. ROR: https://ror.org/058h74p94 (3) Nagasaki University Nagasaki Japan

Author Info: (1) Nagasaki University Nagasaki Japan. ROR: https://ror.org/058h74p94 (2) Nagasaki University Nagasaki Japan. ROR: https://ror.org/058h74p94 (3) Nagasaki University Nagasaki Japan. ROR: https://ror.org/058h74p94 (4) Aichi Cancer Center Research Institute Chikusa-ku, Nagoya, Aichi Japan. (5) Nagasaki University Nagasaki Japan. ROR: https://ror.org/058h74p94 (6) Nagasaki University Nagasaki Japan. ROR: https://ror.org/058h74p94 (7) Nagasaki University Nagasaki Japan. ROR: https://ror.org/058h74p94 (8) Nagasaki University Nagasaki Japan. ROR: https://ror.org/058h74p94 (9) Takara Bio Inc. Kusatsu, Shiga Japan. (10) Takara Bio Inc. Otsu, Shiga Japan. (11) Nagasaki University Nagasaki Japan. ROR: https://ror.org/058h74p94 (12) Nagasaki University Nagasaki, Nagasaki Japan. ROR: https://ror.org/058h74p94

Citation: Cancer Immunol Res 2026 Jul 3 Epub07/03/2026

Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/42397036

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CDK4/6 inhibition enhances CAR-T cell therapy in solid tumors Spotlight 

(1) Lelliott EJ (2) Naddaf J (3) Lu KH (4) Cummins KD (5) Ramsbottom KM (6) Reynolds DS (7) Taylor M (8) Ambani K (9) Munoz I (10) Jackson S (11) Li J (12) Chan CW (13) Britt KL (14) Beavis PA (15) Goel S (16) Oliaro J

Molecular therapy | Free PMC Article

Lelliott et al. showed that the CDK4/6 inhibitor trilaciclib enhanced the metabolic fitness of and cytotoxicity by human CD19 CAR-T cells while reducing their proliferation in vitro. In mice with RB-proficient, trilaciclib-sensitive, CD19+ leukemia, trilaciclib plus CD19 CAR-T cell therapy was more efficacious than monotherapies. In mouse models of solid (breast, ovarian) tumors, even tumors poorly sensitive to trilaciclib alone responded better to tumor antigen-directed CAR-T cells plus trilaciclib than to the single therapies. Trilaciclib reduced suppressive Treg numbers and boosted CAR-T cell persistence, tumor trafficking, and cytotoxic function per cell in solid tumors.

Contributed by Paula Hochman

(1) Lelliott EJ (2) Naddaf J (3) Lu KH (4) Cummins KD (5) Ramsbottom KM (6) Reynolds DS (7) Taylor M (8) Ambani K (9) Munoz I (10) Jackson S (11) Li J (12) Chan CW (13) Britt KL (14) Beavis PA (15) Goel S (16) Oliaro J

Molecular therapy | Free PMC Article

Lelliott et al. showed that the CDK4/6 inhibitor trilaciclib enhanced the metabolic fitness of and cytotoxicity by human CD19 CAR-T cells while reducing their proliferation in vitro. In mice with RB-proficient, trilaciclib-sensitive, CD19+ leukemia, trilaciclib plus CD19 CAR-T cell therapy was more efficacious than monotherapies. In mouse models of solid (breast, ovarian) tumors, even tumors poorly sensitive to trilaciclib alone responded better to tumor antigen-directed CAR-T cells plus trilaciclib than to the single therapies. Trilaciclib reduced suppressive Treg numbers and boosted CAR-T cell persistence, tumor trafficking, and cytotoxic function per cell in solid tumors.

Contributed by Paula Hochman

ABSTRACT: CDK4/6 inhibitors promote anti-tumor immunity through diverse mechanisms, positioning them as promising adjuvants to cancer immunotherapies. While CDK4/6 inhibitors have demonstrated strong synergy with immune checkpoint inhibitors across numerous preclinical cancer models, their combination with CAR-T cell therapy remains unexplored. In this study, we examined the efficacy of combined CDK4/6 inhibition (trilaciclib) and CAR-T therapy across a range of preclinical blood and solid cancer models. In vitro, trilaciclib enhanced human CAR-T cell cytotoxicity and metabolic fitness while reducing expansion. In vivo, the combination outperformed single agents against retinoblastoma protein (RB)-proficient, trilaciclib-sensitive CD19+ leukemia. However, in an equivalent RB-deficient model, the combination therapy was no more effective than CAR-T cells alone, suggesting that enhanced CAR-T cell function may be offset by reduced expansion. In contrast, in solid cancer models the combination was consistently more efficacious than either monotherapy. Notably, combination effects were most pronounced in immunocompetent mouse models, including a model with poor sensitivity to trilaciclib as a monotherapy. Mechanistically, CDK4/6 inhibition reduced tumor-infiltrating T-regulatory cells while enhancing CD8+ CAR-T cell persistence, tumor trafficking, and cytotoxic function within the tumor. Together, these findings suggest that trilaciclib and CAR-T cell therapy may be an effective combinatorial treatment for solid cancers.

Author Info: (1) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VI

Author Info: (1) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. Electronic address: emily.lelliott@petermac.org. (2) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (3) Cancer Biology and Therapeutics Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. (4) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (5) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (6) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. (7) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (8) Cancer Biology and Therapeutics Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (9) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. (10) Cancer Evolution and Metastasis Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (11) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (12) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia. (13) Cancer Evolution and Metastasis Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. (14) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. (15) Cancer Biology and Therapeutics Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. Electronic address: shom.goel@petermac.org. (16) Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, VIC 3010, Australia. Electronic address: jane.oliaro@petermac.org.

Citation: Mol Ther 2026 Jul 1 34:4021-4034 Epub03/24/2026

Link to PUBMED: http://www.ncbi.nlm.nih.gov/pubmed/41883164

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