# A Cytokine-Related Gene Signature for Pan-Cancer Prognostic Stratification and Malignant Phenotype Characterization

**Authors:** Shih-Chieh Chen, Kai-Fu Chang, Chien-Cheng Chao, Chung-Hsien Lin, Chih-Hsuan Chang, Ching-Chung Ko, Hui-Ru Lin, Chi-Jen Wu, Chien-Han Yuan, Sachin Kumar, Dahlak Daniel Solomon, Do Thi Minh Xuan, Neethu Palekkode, Ayman Fathima, Junanda Waikhom, Chih-Yang Wang, Yung-Kuo Lee, Hui-Pu Liu

PMC · DOI: 10.3390/ijms27062830 · 2026-03-20

## TL;DR

This study identifies a 16-gene cytokine-related signature that predicts cancer prognosis across multiple tumor types and is linked to aggressive tumor traits.

## Contribution

A novel pan-cancer cytokine-related gene signature is developed for prognostic stratification and malignant phenotype characterization.

## Key findings

- A 16-gene cytokine-related signature consistently stratifies patients into high- and low-risk groups across multiple cancer types.
- High risk scores correlate with poor survival and are associated with cell cycle activity, epithelial-mesenchymal transition, and extracellular matrix remodeling.
- Risk-associated genes like PANX1 and FRMD8 show increased protein expression in tumor tissues compared to normal tissues.

## Abstract

Cytokines are central regulators of inflammation and immune responses within the tumor microenvironment and have been implicated in cancer progression and prognosis. However, the prognostic value of coordinated cytokine-related transcriptional programs across cancer types has not been systematically explored. Pan-cancer transcriptomic and clinical data were analyzed to construct a cytokine-related prognostic signature using least absolute shrinkage and selection operator (LASSO) Cox regression. Patients were stratified into high-risk and low-risk groups based on the derived risk score. Prognostic performance was evaluated in training and test cohorts, and biological relevance was assessed through survival analyses and pathway-level investigations. A 16-gene cytokine-related signature was established that consistently stratified patients into distinct prognostic groups across multiple cancer types. High cytokine-related risk scores were significantly associated with unfavorable survival outcomes and were linked to enhanced cell cycle activity, epithelial-mesenchymal transition, and extracellular matrix remodeling. Integration of the risk score with clinical variables improved individualized survival prediction. Immunohistochemical analyses further confirmed increased protein expression of representative risk-associated genes, including pannexin 1 (PANX1) and FERM domain containing 8 (FRMD8), in multiple tumor tissues compared with corresponding normal tissues. The cytokine-related prognostic signature captures key inflammatory and immune-related programs underlying tumor aggressiveness and provides a robust tool for pan-cancer risk stratification with potential clinical utility.

## Linked entities

- **Genes:** PANX1 (pannexin 1) [NCBI Gene 24145], FRMD8 (FERM domain containing 8) [NCBI Gene 83786]

## Full-text entities

- **Genes:** PANX1 (pannexin 1) [NCBI Gene 24145] {aka MRS1, OOMD7, OZEMA7, PX1, UNQ2529}, FRMD8 (FERM domain containing 8) [NCBI Gene 83786] {aka FKSG44, iTAP}
- **Diseases:** Pan-Cancer (MESH:D009369), inflammation (MESH:D007249)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13027118/full.md

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Source: https://tomesphere.com/paper/PMC13027118