Programmatically Efficient Separation of Immune Infiltrate and Tumor Gene Expression Overlap Potentials in a Big Data Setting: FASLG Gene Expression-related Survival Distinctions

This study indicates that FASLG CN increases could represent a mechanism of tumor escape from TILs and a prognostic indicator; and tumor FASLG may be a suitable drug target for reducing tumor evasion of T-cells.

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Publication Details

Journal
Cancer Genomics & Proteomics
Published
2025-08-29
DOI
https://doi.org/10.21873/cgp.20531
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
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article

Programmatically Efficient Separation of Immune Infiltrate and Tumor Gene Expression Overlap Potentials in a Big Data Setting: FASLG Gene Expression-related Survival Distinctions

George Blanck, Mallika Varkhedi, Toriana R. Dabkowski, Elizabeth J. Fletcher
Cancer Genomics & Proteomics
Cancer Immunotherapy and Biomarkers
article

Programmatically Efficient Separation of Immune Infiltrate and Tumor Gene Expression Overlap Potentials in a Big Data Setting: FASLG Gene Expression-related Survival Distinctions

George Blanck, Mallika Varkhedi, Toriana R. Dabkowski, Elizabeth J. Fletcher
article en

Abstract

This study indicates that FASLG CN increases could represent a mechanism of tumor escape from TILs and a prognostic indicator; and tumor FASLG may be a suitable drug target for reducing tumor evasion of T-cells.

Cancer Genomics & ProteomicsVol. 22(5)
University of South Florida (US), Moffitt Cancer Center (US)
Zero hunger
Openalex Percentile: Top 68%
Cancer Immunotherapy and Biomarkers
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