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A minimal gene set characterizes TIL specific for diverse tumor antigens across different cancer types
by
Zhao, Yimin
, Pulliam, Thomas H.
, Zhang, Boyang
, Kulikauskas, Rima
, Forde, Patrick M.
, Pardoll, Drew M.
, Smith, Kellie N.
, Li, Shuai
, Topalian, Suzanne L.
, Ji, Hongkai
, Wilson, Jordan
, Zhang, Jiajia
, Singh, Dipika
, Zeng, Zhen
, Jani, Saumya
, Nghiem, Paul
, Zhang, Tianbei
, Connor, Sydney
, Church, Candice D.
in
38
/ 38/39
/ 45
/ 45/91
/ 631/114/2397
/ 631/250/2152/1566
/ 631/250/251
/ 631/67/580
/ Algorithms
/ Antigen (tumor-associated)
/ Antigens
/ Antigens, Neoplasm - genetics
/ Antigens, Neoplasm - immunology
/ CD8 antigen
/ CD8-Positive T-Lymphocytes - immunology
/ CD8-Positive T-Lymphocytes - metabolism
/ Cloning
/ CXCL13 protein
/ Cytotoxicity
/ Datasets
/ Endogenous retroviruses
/ Functional programming
/ Gene expression
/ Gene Expression Regulation, Neoplastic
/ Genes
/ Humanities and Social Sciences
/ Humans
/ Immunological memory
/ Immunotherapy
/ Interleukin 7 receptors
/ Lung cancer
/ Lung Neoplasms - genetics
/ Lung Neoplasms - immunology
/ Lymphocytes
/ Lymphocytes T
/ Lymphocytes, Tumor-Infiltrating - immunology
/ Lymphocytes, Tumor-Infiltrating - metabolism
/ Melanoma
/ Melanoma - genetics
/ Melanoma - immunology
/ multidisciplinary
/ Mutation
/ Neoantigens
/ Neoplasms - genetics
/ Neoplasms - immunology
/ PD-1 protein
/ Science
/ Science (multidisciplinary)
/ Single-Cell Analysis
/ Tumor-infiltrating lymphocytes
/ Tumors
2025
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A minimal gene set characterizes TIL specific for diverse tumor antigens across different cancer types
by
Zhao, Yimin
, Pulliam, Thomas H.
, Zhang, Boyang
, Kulikauskas, Rima
, Forde, Patrick M.
, Pardoll, Drew M.
, Smith, Kellie N.
, Li, Shuai
, Topalian, Suzanne L.
, Ji, Hongkai
, Wilson, Jordan
, Zhang, Jiajia
, Singh, Dipika
, Zeng, Zhen
, Jani, Saumya
, Nghiem, Paul
, Zhang, Tianbei
, Connor, Sydney
, Church, Candice D.
in
38
/ 38/39
/ 45
/ 45/91
/ 631/114/2397
/ 631/250/2152/1566
/ 631/250/251
/ 631/67/580
/ Algorithms
/ Antigen (tumor-associated)
/ Antigens
/ Antigens, Neoplasm - genetics
/ Antigens, Neoplasm - immunology
/ CD8 antigen
/ CD8-Positive T-Lymphocytes - immunology
/ CD8-Positive T-Lymphocytes - metabolism
/ Cloning
/ CXCL13 protein
/ Cytotoxicity
/ Datasets
/ Endogenous retroviruses
/ Functional programming
/ Gene expression
/ Gene Expression Regulation, Neoplastic
/ Genes
/ Humanities and Social Sciences
/ Humans
/ Immunological memory
/ Immunotherapy
/ Interleukin 7 receptors
/ Lung cancer
/ Lung Neoplasms - genetics
/ Lung Neoplasms - immunology
/ Lymphocytes
/ Lymphocytes T
/ Lymphocytes, Tumor-Infiltrating - immunology
/ Lymphocytes, Tumor-Infiltrating - metabolism
/ Melanoma
/ Melanoma - genetics
/ Melanoma - immunology
/ multidisciplinary
/ Mutation
/ Neoantigens
/ Neoplasms - genetics
/ Neoplasms - immunology
/ PD-1 protein
/ Science
/ Science (multidisciplinary)
/ Single-Cell Analysis
/ Tumor-infiltrating lymphocytes
/ Tumors
2025
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A minimal gene set characterizes TIL specific for diverse tumor antigens across different cancer types
by
Zhao, Yimin
, Pulliam, Thomas H.
, Zhang, Boyang
, Kulikauskas, Rima
, Forde, Patrick M.
, Pardoll, Drew M.
, Smith, Kellie N.
, Li, Shuai
, Topalian, Suzanne L.
, Ji, Hongkai
, Wilson, Jordan
, Zhang, Jiajia
, Singh, Dipika
, Zeng, Zhen
, Jani, Saumya
, Nghiem, Paul
, Zhang, Tianbei
, Connor, Sydney
, Church, Candice D.
in
38
/ 38/39
/ 45
/ 45/91
/ 631/114/2397
/ 631/250/2152/1566
/ 631/250/251
/ 631/67/580
/ Algorithms
/ Antigen (tumor-associated)
/ Antigens
/ Antigens, Neoplasm - genetics
/ Antigens, Neoplasm - immunology
/ CD8 antigen
/ CD8-Positive T-Lymphocytes - immunology
/ CD8-Positive T-Lymphocytes - metabolism
/ Cloning
/ CXCL13 protein
/ Cytotoxicity
/ Datasets
/ Endogenous retroviruses
/ Functional programming
/ Gene expression
/ Gene Expression Regulation, Neoplastic
/ Genes
/ Humanities and Social Sciences
/ Humans
/ Immunological memory
/ Immunotherapy
/ Interleukin 7 receptors
/ Lung cancer
/ Lung Neoplasms - genetics
/ Lung Neoplasms - immunology
/ Lymphocytes
/ Lymphocytes T
/ Lymphocytes, Tumor-Infiltrating - immunology
/ Lymphocytes, Tumor-Infiltrating - metabolism
/ Melanoma
/ Melanoma - genetics
/ Melanoma - immunology
/ multidisciplinary
/ Mutation
/ Neoantigens
/ Neoplasms - genetics
/ Neoplasms - immunology
/ PD-1 protein
/ Science
/ Science (multidisciplinary)
/ Single-Cell Analysis
/ Tumor-infiltrating lymphocytes
/ Tumors
2025
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A minimal gene set characterizes TIL specific for diverse tumor antigens across different cancer types
Journal Article
A minimal gene set characterizes TIL specific for diverse tumor antigens across different cancer types
2025
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Overview
Identifying tumor-specific T cell clones that mediate immunotherapy responses remains challenging. Mutation-associated neoantigen (MANA) -specific CD8+ tumor-infiltrating lymphocytes (TIL) have been shown to express high levels of
CXCL13
and CD39 (
ENTPD1
), and low IL-7 receptor (
IL7R
) levels in many cancer types, but their collective relevance to T cell functionality has not been established. Here we present an integrative tool to identify MANA-specific TIL using weighted expression levels of these three genes in lung cancer and melanoma single-cell RNAseq datasets. Our three-gene “MANAscore” algorithm outperforms other RNAseq-based algorithms in identifying validated neoantigen-specific CD8+ clones, and accurately identifies TILs that recognize other classes of tumor antigens, including cancer testis antigens, endogenous retroviruses and viral oncogenes. Most of these TIL are characterized by a tissue resident memory gene expression program. Putative tumor-reactive cells (pTRC) identified via MANAscore in anti-PD-1-treated lung tumors had higher expression of checkpoint and cytotoxicity-related genes relative to putative non-tumor-reactive cells. pTRC in pathologically responding tumors showed distinguished gene expression patterns and trajectories. Collectively, we show that MANAscore is a robust tool that can greatly enrich candidate tumor-specific T cells and be used to understand the functional programming of tumor-reactive TIL.
Although individual genes that distinguish tumor-reactive CD8+ T cells from bystander T cells in tumors have been described, a functionally meaningful integrative signature has not been established. Here authors show that mutation-associated neoantigen-specific CD8+ tumor-infiltrating lymphocytes can be recognized by MANAscore, an algorithm that uses weighted expression levels of CXCL13, ENTPD1 and IL7R in single-cell RNAseq datasets of lung cancer and melanoma patients as input.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 38/39
/ 45
/ 45/91
/ Antigens
/ Antigens, Neoplasm - genetics
/ Antigens, Neoplasm - immunology
/ CD8-Positive T-Lymphocytes - immunology
/ CD8-Positive T-Lymphocytes - metabolism
/ Cloning
/ Datasets
/ Gene Expression Regulation, Neoplastic
/ Genes
/ Humanities and Social Sciences
/ Humans
/ Lymphocytes, Tumor-Infiltrating - immunology
/ Lymphocytes, Tumor-Infiltrating - metabolism
/ Melanoma
/ Mutation
/ Science
/ Tumor-infiltrating lymphocytes
/ Tumors
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