TRIS (Tumor Resistance Instability Score): A Transcriptomic Biomarker for Anti-PD1 Immunotherapy Response Prediction in Melanoma -- Discovery and Negative Replication

We propose TRIS (Tumor Resistance Instability Score), a composite ssGSEA biomarker integrating six tumor resistance pathways (EMT/invasion, stemness, hypoxia/HIF, DNA damage repair, immune evasion, and survival/anti-apoptosis) to predict anti-PD1 immunotherapy non-response in melanoma. Discovery cohort GSE78220 (pembrolizumab, n=26): TRIS significantly higher in non-responders (Mann-Whitney p=0.023, Cohen d=0.929, AUROC=0.734, permutation p=0.0004). Hypoxia/HIF (p=0.009) and immune evasion (p=0.005) pathways show strongest individual signals. Attempted replication in GSE91061 (nivolumab, n=33): negative result (p=0.585, AUROC=0.478), attributed to drug-class differences (pembrolizumab vs nivolumab) and insufficient statistical power (Responder n=10). Both positive and negative results are reported in full accordance with scientific integrity. TRIS is part of the Geometric Systems Medicine framework integrating transcriptome-level (TRIS) and protein geometry-level (FIS) analyses of drug resistance.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-14
DOI
https://doi.org/10.5281/zenodo.20187263
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
preprint
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preprint

TRIS (Tumor Resistance Instability Score): A Transcriptomic Biomarker for Anti-PD1 Immunotherapy Response Prediction in Melanoma -- Discovery and Negative Replication

Yao-Kai Kao
Zenodo (CERN European Organization for Nuclear Research)
Cancer Immunotherapy and Biomarkers
preprint

TRIS (Tumor Resistance Instability Score): A Transcriptomic Biomarker for Anti-PD1 Immunotherapy Response Prediction in Melanoma -- Discovery and Negative Replication

Yao-Kai Kao
preprint en

Abstract

We propose TRIS (Tumor Resistance Instability Score), a composite ssGSEA biomarker integrating six tumor resistance pathways (EMT/invasion, stemness, hypoxia/HIF, DNA damage repair, immune evasion, and survival/anti-apoptosis) to predict anti-PD1 immunotherapy non-response in melanoma. Discovery cohort GSE78220 (pembrolizumab, n=26): TRIS significantly higher in non-responders (Mann-Whitney p=0.023, Cohen d=0.929, AUROC=0.734, permutation p=0.0004). Hypoxia/HIF (p=0.009) and immune evasion (p=0.005) pathways show strongest individual signals. Attempted replication in GSE91061 (nivolumab, n=33): negative result (p=0.585, AUROC=0.478), attributed to drug-class differences (pembrolizumab vs nivolumab) and insufficient statistical power (Responder n=10). Both positive and negative results are reported in full accordance with scientific integrity. TRIS is part of the Geometric Systems Medicine framework integrating transcriptome-level (TRIS) and protein geometry-level (FIS) analyses of drug resistance.

Zenodo (CERN European Organization for Nuclear Research)
Allen Institute for Brain Science (US)
Good health and well-being
Cancer Immunotherapy and Biomarkers
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