Multiomics identifies a prognostic signature and SPIB as a potential regulator of gastric cancer lymph node metastasis

The heterogeneity within the same AJCC TNM stage of gastric cancer necessitates robust prognostic biomarkers beyond conventional staging. By integrating transcriptomic data from 1,613 patients across eight cohorts, we developed an 11-gene lymph node metastasis gene signature (LMGS) using an ensemble learning strategy to overcome the instability of traditional models. LMGS robustly predicted survival (mean C-index = 0.619), providing incremental prognostic value beyond conventional AJCC staging. Single-cell and spatial transcriptomic analyses revealed LMGS enrichment in epithelial/immune cells at the tumor-normal interface. Integrative analysis nominated the transcription factor SPIB as a candidate regulator, which was specifically overexpressed in metastatic lesions. Our study provides a clinically relevant prognostic tool and identifies SPIB as a molecular marker associated with lymphatic dissemination.

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Publication Details

Journal
iScience
Published
2026-07-16
DOI
https://doi.org/10.1016/j.isci.2026.116774
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Multiomics identifies a prognostic signature and SPIB as a potential regulator of gastric cancer lymph node metastasis

Yanfeng Hu, Dianjie Chen, Junbo Zhuang, Keyu He et al.
iScience
Single-cell and spatial transcriptomics
article

Multiomics identifies a prognostic signature and SPIB as a potential regulator of gastric cancer lymph node metastasis

Yanfeng Hu, Dianjie Chen, Junbo Zhuang, Keyu He, S Y Zhang, Lifan Lin, Yintong Zhu, Ming Cao, Zhijie Duan, Guodong Shen
article en

Abstract

The heterogeneity within the same AJCC TNM stage of gastric cancer necessitates robust prognostic biomarkers beyond conventional staging. By integrating transcriptomic data from 1,613 patients across eight cohorts, we developed an 11-gene lymph node metastasis gene signature (LMGS) using an ensemble learning strategy to overcome the instability of traditional models. LMGS robustly predicted survival (mean C-index = 0.619), providing incremental prognostic value beyond conventional AJCC staging. Single-cell and spatial transcriptomic analyses revealed LMGS enrichment in epithelial/immune cells at the tumor-normal interface. Integrative analysis nominated the transcription factor SPIB as a candidate regulator, which was specifically overexpressed in metastatic lesions. Our study provides a clinically relevant prognostic tool and identifies SPIB as a molecular marker associated with lymphatic dissemination.

iScienceVol. 29(8)
Nanfang Hospital (CN), Jiangxi Maternal and Child Health Hospital (CN), Southern Medical University (CN)
National Natural Science Foundation of China, National College Students Innovation and Entrepreneurship Training Program
Good health and well-being
Openalex Percentile: Top 14%
Single-cell and spatial transcriptomics
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