Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 15 min ago
Peer-reviewedCC BY 4.0Frontiers in Oncology

An eight-gene prognostic signature and its immune associations in gastric cancer: integrated transcriptomic and clinical analyses

  1. 1Department of Gastroenterology, The Fourth Hospital of Hebei Medical University
  2. 2Department of Gastroenterology, Baoding No. 1 Central Hospital
  3. 3Department of Pathology, Baoding No. 1 Central Hospital

Abstract

Background: Gastric cancer (GC) remains a major cause of cancer-related mortality worldwide. Helicobacter pylori ( H. pylori ) is a major etiological factor in gastric carcinogenesis and has been associated with alterations in the tumor immune microenvironment. However, how H. pylori -related transcriptional features intersect with the broader molecular and immune heterogeneity of established gastric cancer remains incompletely characterized.

Methods: Single-cell RNA-sequencing data (GSE234129) were used for exploratory comparison according to H. pylori status and to define an initial candidate gene set. An eight-gene prognostic signature was subsequently developed in TCGA-STAD and evaluated in independent gastric cancer cohorts. Model-development optimism was assessed using 1, 000 full-pipeline bootstrap resamples. Immune features were evaluated using CIBERSORT, ESTIMATE, TIDE, and immunophenoscore, while observed anti-PD-1 response was explored in the disease-matched PRJEB25780 cohort. RGS1 was further assessed in an independent immunohistochemical cohort.

Results: Exploratory single-cell analyses suggested differences in immune-cell composition, T-cell states, and antigen-presentation-related pathways according to H. pylori status. The eight-gene prognostic signature stratified overall survival in the TCGA-STAD cohort and two independent GEO cohorts. After full-pipeline bootstrap correction, model discrimination was modest (corrected C-index = 0.575). In TCGA-STAD, addition of the eight-gene score to a clinicopathological model improved prognostic discrimination. High-risk tumors were characterized by distinct stromal, genomic, and immune features, including higher stromal activity, lower tumor mutational burden, and differences in computational immune-response-related profiles. At the tissue level, RGS1 expression was associated with survival and selected immune-cell features. In the IHC cohort, high RGS1 expression remained independently associated with poorer overall survival (OS) after multivariable adjustment (HR = 2.36, 95% CI 1.36-4.10, p = 0.002) and was accompanied by lower CD8-positive and higher CD163-positive and FOXP3-positive cell densities. In the independent H. pylori -annotated GSE62254 cohort, the five non-ribosomal components showed nominal gene-set-level enrichment in H. pylori -positive tumors (CAMERA P = 0.044).

Conclusions: This study developed an eight-gene survival-associated prognostic signature and characterized its immune associations in gastric cancer. H. pylori -related findings were exploratory and did not establish H. pylori specificity of the final model. Further prospective validation is required given the modest optimism-corrected performance.

Related

  1. Integrated transcriptomic and clinical analyses reveal the prognostic relevance of GPC3 and a putative ceRNA-associated relationship in gastric cancer
    Ziyu Li, Yucun Liu, Guowei Chen +1
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textGeneral medicineCrossref
  2. An Oxidative Stress-Associated Seven-Gene Prognostic Signature in Lung Adenocarcinoma: Integrative Transcriptomic Analysis Across Public Cohorts
    X. Zhou, Z. Le, P. Song +6
    bioRxivPreprintAll rights reservedFull textOncologybioRxiv
  3. Stromal innervation is prognostic in non-muscle-invasive bladder cancer and predicted by a distinct microenvironmental transcriptomic signature
    C. S. Deiter, C. de Jong, M. Olislagers +3
    bioRxivPreprintCC BY-NCFull textOncologybioRxiv
  4. A knowledge graph-guided transcriptomic framework identifies a 20-gene prognostic signature for cervical cancer
    Ziyi Deng, Xuehua Bi, Hanyuan Zhang
    BMC BioinformaticsPeer-reviewedCC BY-NC-ND 4.0Full textEpidemiology & public healthPMC
  5. Integrated single-cell and machine learning analysis identifies an autophagy- and immune-related prognostic signature in adrenocortical carcinoma
    Yuezhou Chen, Shengjie Lai, Sijian Fang +5
    Discover OncologyPeer-reviewedCC BYFull textSurgery & anaesthesiaDOAJ
BibTeX
@article{wen2026eightgene,
  title = {{An eight-gene prognostic signature and its immune associations in gastric cancer: integrated transcriptomic and clinical analyses}},
  author = {Dong Wen and Lili Mi and Yan Zhang and Yaming Ji and Baoling Yang and Fei Yin},
  journal = {Frontiers in Oncology},
  year = {2026},
  month = oct,
  doi = {10.3389/fonc.2026.1930319},
  url = {https://www.frontiersin.org/articles/10.3389/fonc.2026.1930319/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - An eight-gene prognostic signature and its immune associations in gastric cancer: integrated transcriptomic and clinical analyses
AU  - Dong Wen
AU  - Lili Mi
AU  - Yan Zhang
AU  - Yaming Ji
AU  - Baoling Yang
AU  - Fei Yin
PY  - 2026
DA  - 2026/10/22
JO  - Frontiers in Oncology
DO  - 10.3389/fonc.2026.1930319
UR  - https://www.frontiersin.org/articles/10.3389/fonc.2026.1930319/full
AB  - Background: Gastric cancer (GC) remains a major cause of cancer-related mortality worldwide. Helicobacter pylori ( H. pylori ) is a major etiological factor in gastric carcinogenesis and has been associated with alterations in the tumor immune microenvironment. However, how H. pylori -related transcriptional features intersect with the broader molecular and immune heterogeneity of established gastric cancer remains incompletely characterized.  Methods: Single-cell RNA-sequencing data (GSE234129) were used for exploratory comparison according to H. pylori status and to define an initial candidate gene set. An eight-gene prognostic signature was subsequently developed in TCGA-STAD and evaluated in independent gastric cancer cohorts. Model-development optimism was assessed using 1, 000 full-pipeline bootstrap resamples. Immune features were evaluated using CIBERSORT, ESTIMATE, TIDE, and immunophenoscore, while observed anti-PD-1 response was explored in the disease-matched PRJEB25780 cohort. RGS1 was further assessed in an independent immunohistochemical cohort.  Results: Exploratory single-cell analyses suggested differences in immune-cell composition, T-cell states, and antigen-presentation-related pathways according to H. pylori status. The eight-gene prognostic signature stratified overall survival in the TCGA-STAD cohort and two independent GEO cohorts. After full-pipeline bootstrap correction, model discrimination was modest (corrected C-index = 0.575). In TCGA-STAD, addition of the eight-gene score to a clinicopathological model improved prognostic discrimination. High-risk tumors were characterized by distinct stromal, genomic, and immune features, including higher stromal activity, lower tumor mutational burden, and differences in computational immune-response-related profiles. At the tissue level, RGS1 expression was associated with survival and selected immune-cell features. In the IHC cohort, high RGS1 expression remained independently associated with poorer overall survival (OS) after multivariable adjustment (HR = 2.36, 95% CI 1.36-4.10, p = 0.002) and was accompanied by lower CD8-positive and higher CD163-positive and FOXP3-positive cell densities. In the independent H. pylori -annotated GSE62254 cohort, the five non-ribosomal components showed nominal gene-set-level enrichment in H. pylori -positive tumors (CAMERA P = 0.044).  Conclusions: This study developed an eight-gene survival-associated prognostic signature and characterized its immune associations in gastric cancer. H. pylori -related findings were exploratory and did not establish H. pylori specificity of the final model. Further prospective validation is required given the modest optimism-corrected performance.
SN  - 2234-943X
ER  -