A pan-cancer comparative analysis of the cancer genome atlas transcriptomic TIL-immune signatures
Abstract Efforts to understand the tumor microenvironment through basic science research and the cancer genome atlas (TCGA) data analysis have led to the creation of unique immune transcriptomic signatures from tumor-infiltrating lymphocytes (TIL). However, no pan-cancer analysis has been conducted...
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| Format: | Article |
| Language: | English |
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Springer
2025-08-01
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| Series: | Cancer Immunology, Immunotherapy |
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| Online Access: | https://doi.org/10.1007/s00262-025-04102-3 |
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| author | Kyle J. Hitscherich Darryl Nousome Aaron J. Dinerman Victoria Dulemba Frank J. Lowery Naris Nilubol |
| author_facet | Kyle J. Hitscherich Darryl Nousome Aaron J. Dinerman Victoria Dulemba Frank J. Lowery Naris Nilubol |
| author_sort | Kyle J. Hitscherich |
| collection | DOAJ |
| description | Abstract Efforts to understand the tumor microenvironment through basic science research and the cancer genome atlas (TCGA) data analysis have led to the creation of unique immune transcriptomic signatures from tumor-infiltrating lymphocytes (TIL). However, no pan-cancer analysis has been conducted to compare the prognostic performance of these signatures using overall survival (OS) or progression-free interval (PFI) as endpoints. We compiled a library of 146 TIL-immune signatures and evaluated gene signature score correlation with OS and PFI for 9,961 available TCGA samples across 33 tumor types. Zhang CD8 TCS demonstrated higher accuracy in prognosticating both OS and PFI across the pan-cancer landscape; however, variability was seen across cancer types and germ cell origin. Cluster analysis compiled a group of six signatures (Oh.Cd8.MAIT, Grog.8KLRB1, Oh.TIL_CD4.GZMK, Grog.CD4.TCF7, Oh.CD8.RPL, Grog.CD4.RPL32) whose association with OS and PFI could potentially be conserved across multiple neoplasms. |
| format | Article |
| id | doaj-art-60ae6ca94ae34e5a9b4ec9e0d87a8169 |
| institution | Kabale University |
| issn | 1432-0851 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Springer |
| record_format | Article |
| series | Cancer Immunology, Immunotherapy |
| spelling | doaj-art-60ae6ca94ae34e5a9b4ec9e0d87a81692025-08-20T04:03:03ZengSpringerCancer Immunology, Immunotherapy1432-08512025-08-0174911610.1007/s00262-025-04102-3A pan-cancer comparative analysis of the cancer genome atlas transcriptomic TIL-immune signaturesKyle J. Hitscherich0Darryl Nousome1Aaron J. Dinerman2Victoria Dulemba3Frank J. Lowery4Naris Nilubol5Surgery Branch, Center for Cancer Research, National Cancer Institute, National Institutes of HealthCCR Collaborative Bioinformatics Resource (CCBR), Center for Cancer Research, NCI, NIHSurgery Branch, Center for Cancer Research, National Cancer Institute, National Institutes of HealthSurgery Branch, Center for Cancer Research, National Cancer Institute, National Institutes of HealthSurgery Branch, Center for Cancer Research, National Cancer Institute, National Institutes of HealthEndocrine Surgery Section, Surgical Oncology Program, National Cancer Institute, NIHAbstract Efforts to understand the tumor microenvironment through basic science research and the cancer genome atlas (TCGA) data analysis have led to the creation of unique immune transcriptomic signatures from tumor-infiltrating lymphocytes (TIL). However, no pan-cancer analysis has been conducted to compare the prognostic performance of these signatures using overall survival (OS) or progression-free interval (PFI) as endpoints. We compiled a library of 146 TIL-immune signatures and evaluated gene signature score correlation with OS and PFI for 9,961 available TCGA samples across 33 tumor types. Zhang CD8 TCS demonstrated higher accuracy in prognosticating both OS and PFI across the pan-cancer landscape; however, variability was seen across cancer types and germ cell origin. Cluster analysis compiled a group of six signatures (Oh.Cd8.MAIT, Grog.8KLRB1, Oh.TIL_CD4.GZMK, Grog.CD4.TCF7, Oh.CD8.RPL, Grog.CD4.RPL32) whose association with OS and PFI could potentially be conserved across multiple neoplasms.https://doi.org/10.1007/s00262-025-04102-3CancerImmunotherapySingle cell sequencingTumor microenvironmentTumor-infiltrating lymphocytes |
| spellingShingle | Kyle J. Hitscherich Darryl Nousome Aaron J. Dinerman Victoria Dulemba Frank J. Lowery Naris Nilubol A pan-cancer comparative analysis of the cancer genome atlas transcriptomic TIL-immune signatures Cancer Immunology, Immunotherapy Cancer Immunotherapy Single cell sequencing Tumor microenvironment Tumor-infiltrating lymphocytes |
| title | A pan-cancer comparative analysis of the cancer genome atlas transcriptomic TIL-immune signatures |
| title_full | A pan-cancer comparative analysis of the cancer genome atlas transcriptomic TIL-immune signatures |
| title_fullStr | A pan-cancer comparative analysis of the cancer genome atlas transcriptomic TIL-immune signatures |
| title_full_unstemmed | A pan-cancer comparative analysis of the cancer genome atlas transcriptomic TIL-immune signatures |
| title_short | A pan-cancer comparative analysis of the cancer genome atlas transcriptomic TIL-immune signatures |
| title_sort | pan cancer comparative analysis of the cancer genome atlas transcriptomic til immune signatures |
| topic | Cancer Immunotherapy Single cell sequencing Tumor microenvironment Tumor-infiltrating lymphocytes |
| url | https://doi.org/10.1007/s00262-025-04102-3 |
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