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A T cell resilience model associated with response to immunotherapy in multiple tumor types
by
Vu, Trang
, Huang, Jiao
, Merlino, Glenn
, Zhang, Yu
, Smith, Cari
, Aldape, Kenneth
, Kishton, Rigel J.
, Gong, Lanqi
, Chen, Zuojia
, Paul, Rohit
, Guan, Xin-yuan
, Nguyen, Thanh
, Day, Chi-Ping
, Palmer, Douglas C.
, Wu, Chuan
, Jiang, Peng
, Livák, Ferenc
in
631/114
/ 631/250/1619/554
/ 692/308/53/2423
/ 692/699/67/1059/2325
/ Animals
/ Antigens
/ Apoptosis
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Breast cancer
/ Cancer
/ Cancer immunotherapy
/ Cancer Research
/ Carrier Proteins
/ CD8 antigen
/ CD8-Positive T-Lymphocytes
/ Cell therapy
/ Chimeric antigen receptors
/ Cholesterol
/ Computer applications
/ Growth factors
/ Humans
/ Immune checkpoint inhibitors
/ Immunotherapy
/ Immunotherapy - methods
/ Immunotherapy, Adoptive - methods
/ Infectious Diseases
/ Lipid metabolism
/ Lung cancer
/ Lymphocytes
/ Lymphocytes T
/ Melanoma
/ Membrane Proteins
/ Metabolic Diseases
/ Mice
/ Molecular Medicine
/ Neurosciences
/ Prostaglandin E2
/ Receptors
/ Receptors, Chimeric Antigen
/ Resilience
/ Solid tumors
/ Therapeutic targets
/ TRAIL protein
/ Transcriptomics
/ Tumor-infiltrating lymphocytes
/ Tumors
2022
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A T cell resilience model associated with response to immunotherapy in multiple tumor types
by
Vu, Trang
, Huang, Jiao
, Merlino, Glenn
, Zhang, Yu
, Smith, Cari
, Aldape, Kenneth
, Kishton, Rigel J.
, Gong, Lanqi
, Chen, Zuojia
, Paul, Rohit
, Guan, Xin-yuan
, Nguyen, Thanh
, Day, Chi-Ping
, Palmer, Douglas C.
, Wu, Chuan
, Jiang, Peng
, Livák, Ferenc
in
631/114
/ 631/250/1619/554
/ 692/308/53/2423
/ 692/699/67/1059/2325
/ Animals
/ Antigens
/ Apoptosis
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Breast cancer
/ Cancer
/ Cancer immunotherapy
/ Cancer Research
/ Carrier Proteins
/ CD8 antigen
/ CD8-Positive T-Lymphocytes
/ Cell therapy
/ Chimeric antigen receptors
/ Cholesterol
/ Computer applications
/ Growth factors
/ Humans
/ Immune checkpoint inhibitors
/ Immunotherapy
/ Immunotherapy - methods
/ Immunotherapy, Adoptive - methods
/ Infectious Diseases
/ Lipid metabolism
/ Lung cancer
/ Lymphocytes
/ Lymphocytes T
/ Melanoma
/ Membrane Proteins
/ Metabolic Diseases
/ Mice
/ Molecular Medicine
/ Neurosciences
/ Prostaglandin E2
/ Receptors
/ Receptors, Chimeric Antigen
/ Resilience
/ Solid tumors
/ Therapeutic targets
/ TRAIL protein
/ Transcriptomics
/ Tumor-infiltrating lymphocytes
/ Tumors
2022
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A T cell resilience model associated with response to immunotherapy in multiple tumor types
by
Vu, Trang
, Huang, Jiao
, Merlino, Glenn
, Zhang, Yu
, Smith, Cari
, Aldape, Kenneth
, Kishton, Rigel J.
, Gong, Lanqi
, Chen, Zuojia
, Paul, Rohit
, Guan, Xin-yuan
, Nguyen, Thanh
, Day, Chi-Ping
, Palmer, Douglas C.
, Wu, Chuan
, Jiang, Peng
, Livák, Ferenc
in
631/114
/ 631/250/1619/554
/ 692/308/53/2423
/ 692/699/67/1059/2325
/ Animals
/ Antigens
/ Apoptosis
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Breast cancer
/ Cancer
/ Cancer immunotherapy
/ Cancer Research
/ Carrier Proteins
/ CD8 antigen
/ CD8-Positive T-Lymphocytes
/ Cell therapy
/ Chimeric antigen receptors
/ Cholesterol
/ Computer applications
/ Growth factors
/ Humans
/ Immune checkpoint inhibitors
/ Immunotherapy
/ Immunotherapy - methods
/ Immunotherapy, Adoptive - methods
/ Infectious Diseases
/ Lipid metabolism
/ Lung cancer
/ Lymphocytes
/ Lymphocytes T
/ Melanoma
/ Membrane Proteins
/ Metabolic Diseases
/ Mice
/ Molecular Medicine
/ Neurosciences
/ Prostaglandin E2
/ Receptors
/ Receptors, Chimeric Antigen
/ Resilience
/ Solid tumors
/ Therapeutic targets
/ TRAIL protein
/ Transcriptomics
/ Tumor-infiltrating lymphocytes
/ Tumors
2022
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A T cell resilience model associated with response to immunotherapy in multiple tumor types
Journal Article
A T cell resilience model associated with response to immunotherapy in multiple tumor types
2022
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Overview
Despite breakthroughs in cancer immunotherapy, most tumor-reactive T cells cannot persist in solid tumors due to an immunosuppressive environment. We developed Tres (tumor-resilient T cell,
https://resilience.ccr.cancer.gov/
), a computational model utilizing single-cell transcriptomic data to identify signatures of T cells that are resilient to immunosuppressive signals, such as transforming growth factor-β1, tumor necrosis factor-related apoptosis-inducing ligand and prostaglandin E2. Tres reliably predicts clinical responses to immunotherapy in melanoma, lung cancer, triple-negative breast cancer and B cell malignancies using bulk T cell transcriptomic data from pre-treatment tumors from patients who received immune-checkpoint inhibitors (
n
= 38), infusion products for chimeric antigen receptor T cell therapies (
n
= 34) and pre-manufacture samples for chimeric antigen receptor T cell or tumor-infiltrating lymphocyte therapies (
n
= 84). Further, Tres identified
FIBP
, whose functions are largely unknown, as the top negative marker of tumor-resilient T cells across many solid tumor types.
FIBP
knockouts in murine and human donor CD8
+
T cells significantly enhanced T cell-mediated cancer killing in in vitro co-cultures. Further,
Fibp
knockout in murine T cells potentiated the in vivo efficacy of adoptive cell transfer in the B16 tumor model.
Fibp
knockout T cells exhibit reduced cholesterol metabolism, which inhibits effector T cell function. These results demonstrate the utility of Tres in identifying biomarkers of T cell effectiveness and potential therapeutic targets for immunotherapies in solid tumors.
Gene signatures associated with T cell resilience to tumor-derived immunosuppressive signals predict responses to immune-checkpoint inhibitors and adoptive cell therapy and identify
FIBP
as a negative regulator of T cell activity
Publisher
Nature Publishing Group US,Nature Publishing Group
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