
DOI . ORG {
}
Title[redir]:
Tumor Heterogeneity Correlates with Less Immune Response and Worse Survival in Breast Cancer Patients | Annals of Surgical Oncology
Description:
Intratumor heterogeneity implies that subpopulations of cancer cells that differ in genetic, phenotypic, or behavioral characteristics coexist in a single tumor (Ma in Breast Cancer Res Treat 162(1):39ā48, 2017; Martelotto in Breast Cancer Res 16(3):210, 2014). Tumor heterogeneity drives progression, metastasis and treatment resistance, but its relationship with tumor infiltrating immune cells is a matter of debate, where some argue that tumors with high heterogeneity may generate neoantigens that attract immune cells, and others claim that immune cells provide selection pressure that shapes tumor heterogeneity (McGranahan et al. in Science 351(6280):1463ā1469, 2016; McGranahan and Swanton in Cell 168(4):613ā628, 2017). We sought to study the association between tumor heterogeneity and immune cells in a real-world cohort utilizing The Cancer Genome Atlas. Mutant allele tumor heterogeneity (MATH) was calculated to estimate intratumoral heterogeneity, and immune cell compositions were estimated using CIBERSORT. Survival analyses were demonstrated using KaplanāMeir curves. Tumors with high heterogeneity (high MATH) were associated with worse overall survival (p = 0.049), as well as estrogen receptor-positive (p = 0.011) and non-triple-negative tumors (p = 0.01). High MATH tumors were also associated with less infiltration of anti-tumor CD8 (p < 0.013) and CD4 T cells (p < 0.00024), more tumor-promoting regulatory T cells (p < 4eā04), lower expression of T-cell exhaustion markers, specifically PDL-1 (p = 0.0031), IDO2 (p = 0.34), ADORA2A (p = 0.018), VISTA (p = 0.00013), and CCR4 (p < 0.00001), lower expression of cytolytic enzymes granzyme A (p = 0.0056) and perforin 1 (p = 0.053), and low cytolytic activity score (p = 0.0028). High heterogeneity tumors are associated with less immune cell infiltration, less activation of the immune response, and worse survival in breast cancer. Our results support the notion that tumor heterogeneity is shaped by selection pressure of tumor-infiltrating immune cells.
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Keywords {š}
cancer, article, google, scholar, breast, heterogeneity, phd, cas, tumor, takabe, kawaguchi, cell, data, immune, survival, cells, kazuaki, department, analysis, oncology, facs, surgery, yan, intratumor, res, oncol, tumors, math, nat, buffalo, usa, university, patients, high, genome, clinical, comprehensive, roswell, park, privacy, cookies, content, research, mcdonald, tsutomu, young, genetic, mcgranahan, study, atlas,
Topics {āļø}
month download article/chapter investigator-initiated research grant kerry-ann mcdonald mutant-allele tumor heterogeneity intra-tumour heterogeneity real-world cohort utilizing t-cell exhaustion markers postoperative plasma sphingosine-1-phosphate inferring intra-tumor heterogeneity tamoxifen sensitivity-related microrna-342 triple-negative breast cancer intra-tumor genetic heterogeneity tumor-infiltrating immune cells aso author reflections cancer immunotherapy tumor microenvironment tumor heterogeneity correlates phdĀ &Ā eigo otsuji md cancer genome atlas single-cell genetic analysis privacy choices/manage cookies kazuaki takabe md full article pdf breast cancer patients anti-tumor cd8 complex cancer genomics human breast cancer invasive breast cancer pan-cancer analysis neck cancer patients ann surg oncol breast cancer res cytolytic activity score jessica young md article mcdonald tumour antigens pathology resource network breast cancer validated fatal breast cancer treatment resistance additional information publisher' triple-negative tumors shapes tumor heterogeneity cytolytic enzymes granzyme somatic dna alterations negative breast cancers research pathology services cancer immunol res natl cancer inst nat rev cancer
Questions {ā}
- Intra-tumour heterogeneity: A looking glass for cancer?
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headline:Tumor Heterogeneity Correlates with Less Immune Response and Worse Survival in Breast Cancer Patients
description:Intratumor heterogeneity implies that subpopulations of cancer cells that differ in genetic, phenotypic, or behavioral characteristics coexist in a single tumor (Ma in Breast Cancer Res Treat 162(1):39ā48, 2017; Martelotto in Breast Cancer Res 16(3):210, 2014). Tumor heterogeneity drives progression, metastasis and treatment resistance, but its relationship with tumor infiltrating immune cells is a matter of debate, where some argue that tumors with high heterogeneity may generate neoantigens that attract immune cells, and others claim that immune cells provide selection pressure that shapes tumor heterogeneity (McGranahan et al. in Science 351(6280):1463ā1469, 2016; McGranahan and Swanton in Cell 168(4):613ā628, 2017). We sought to study the association between tumor heterogeneity and immune cells in a real-world cohort utilizing The Cancer Genome Atlas. Mutant allele tumor heterogeneity (MATH) was calculated to estimate intratumoral heterogeneity, and immune cell compositions were estimated using CIBERSORT. Survival analyses were demonstrated using KaplanāMeir curves. Tumors with high heterogeneity (high MATH) were associated with worse overall survival (pĀ =Ā 0.049), as well as estrogen receptor-positive (pĀ =Ā 0.011) and non-triple-negative tumors (pĀ =Ā 0.01). High MATH tumors were also associated with less infiltration of anti-tumor CD8 (pĀ <Ā 0.013) and CD4 T cells (pĀ <Ā 0.00024), more tumor-promoting regulatory T cells (pĀ <Ā 4eā04), lower expression of T-cell exhaustion markers, specifically PDL-1 (pĀ =Ā 0.0031), IDO2 (pĀ =Ā 0.34), ADORA2A (pĀ =Ā 0.018), VISTA (pĀ =Ā 0.00013), and CCR4 (pĀ <Ā 0.00001), lower expression of cytolytic enzymes granzyme A (pĀ =Ā 0.0056) and perforin 1 (pĀ =Ā 0.053), and low cytolytic activity score (pĀ =Ā 0.0028). High heterogeneity tumors are associated with less immune cell infiltration, less activation of the immune response, and worse survival in breast cancer. Our results support the notion that tumor heterogeneity is shaped by selection pressure of tumor-infiltrating immune cells.
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headline:Tumor Heterogeneity Correlates with Less Immune Response and Worse Survival in Breast Cancer Patients
description:Intratumor heterogeneity implies that subpopulations of cancer cells that differ in genetic, phenotypic, or behavioral characteristics coexist in a single tumor (Ma in Breast Cancer Res Treat 162(1):39ā48, 2017; Martelotto in Breast Cancer Res 16(3):210, 2014). Tumor heterogeneity drives progression, metastasis and treatment resistance, but its relationship with tumor infiltrating immune cells is a matter of debate, where some argue that tumors with high heterogeneity may generate neoantigens that attract immune cells, and others claim that immune cells provide selection pressure that shapes tumor heterogeneity (McGranahan et al. in Science 351(6280):1463ā1469, 2016; McGranahan and Swanton in Cell 168(4):613ā628, 2017). We sought to study the association between tumor heterogeneity and immune cells in a real-world cohort utilizing The Cancer Genome Atlas. Mutant allele tumor heterogeneity (MATH) was calculated to estimate intratumoral heterogeneity, and immune cell compositions were estimated using CIBERSORT. Survival analyses were demonstrated using KaplanāMeir curves. Tumors with high heterogeneity (high MATH) were associated with worse overall survival (pĀ =Ā 0.049), as well as estrogen receptor-positive (pĀ =Ā 0.011) and non-triple-negative tumors (pĀ =Ā 0.01). High MATH tumors were also associated with less infiltration of anti-tumor CD8 (pĀ <Ā 0.013) and CD4 T cells (pĀ <Ā 0.00024), more tumor-promoting regulatory T cells (pĀ <Ā 4eā04), lower expression of T-cell exhaustion markers, specifically PDL-1 (pĀ =Ā 0.0031), IDO2 (pĀ =Ā 0.34), ADORA2A (pĀ =Ā 0.018), VISTA (pĀ =Ā 0.00013), and CCR4 (pĀ <Ā 0.00001), lower expression of cytolytic enzymes granzyme A (pĀ =Ā 0.0056) and perforin 1 (pĀ =Ā 0.053), and low cytolytic activity score (pĀ =Ā 0.0028). High heterogeneity tumors are associated with less immune cell infiltration, less activation of the immune response, and worse survival in breast cancer. Our results support the notion that tumor heterogeneity is shaped by selection pressure of tumor-infiltrating immune cells.
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