Pan-cancer analyses of the association between GSRS and CD8+ T cell infiltration using the CIBERSORT-ABS algorithm.

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Bibliographic Details
Main Author:	Yu Zhang (12946) (author)
Other Authors:	Chen Chen (6544) (author), Tianhang Zhu (22421568) (author), Wei Luo (80175) (author), Ranran Zhou (6503195) (author), Wanlong Tan (311259) (author)
Published:	2025
Subjects:	Biochemistry Cell Biology Genetics Molecular Biology Physiology Immunology Developmental Biology Marine Biology Cancer Hematology Biological Sciences not elsewhere classified world clinical settings vivo experiments showed spatial transcriptomics revealed pooled hazard ratio offering valuable insights healthy donors (< 05 – 3 gene signature emerged random forest analyses cell exhaustion levels related gene signature div >< p related genes decreased levels cell infiltration 05 ). subsequently incorporated rigorously validated prognostic significance predictive tool positive association pivotal role p </ msigdb database local samples immunotherapeutic response glucocorticoids play glucocorticoid signaling experimentally validating corticosterone treatment confidence interval computational simulations cancer progression 65 ).
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Pan-cancer analyses of the association between GSRS and CD8<sup>+</sup> T cell infiltration using the CIBERSORT-ABS algorithm.