Evidence map›Paper›PMID 40697214›Full record

ArticleWorld journal of gastrointestinal oncology2025

Stemness signatures reflect prognostic disturbances in gastric cancer.

Wen-Feng Pu, Xiao Yang, Xiao-Qing Wang, Xiao-Guang Guo, Mi-Yuan Yang

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Article in World journal of gastrointestinal oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Wen-Feng PuDepartment of Gastroenterology, Beijing Anzhen Nanchong Hospital of Capital Medical University and Nanchong Central Hospital, Nanchong 637000, Sichuan Province, China. 1047951869@qq.com.
Xiao YangCollege of Pharmacy, Chongqing Medical University, Chongqing 400000, China.
Xiao-Qing WangDepartment of Nuclear Medicine, Beijing Anzhen Nanchong Hospital of Capital Medical University and Nanchong Central Hospital, Nanchong 637000, Sichuan Province, China.
Xiao-Guang GuoDepartment of Pathology, Beijing Anzhen Nanchong Hospital of Capital Medical University and Nanchong Central Hospital, Nanchong 637000, Sichuan Province, China.
Mi-Yuan YangDepartment of Clinical Laboratory, Beijing Anzhen Nanchong Hospital of Capital Medical University and Nanchong Central Hospital, Nanchong 637000, Sichuan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumors characterized by high cellular stemness often have unfavorable clinical outcomes, primarily due to their heightened potential for metastasis and resistance to chemotherapy. Among the model genes, the clinical relevance and prognostic significance of Niemann-Pick type C2 (NPC2) in gastric cancer (GC) remained largely unexplored.

aimTo identify stemness-associated genes in GC.

methodsIn this study, epithelial cells were categorized as either tumor or normal epithelial cells using the infer copy number variation method. Stemness scores were calculated for both cell types. The hierarchical Weighted Gene Co-expression Network Analysis identified two gene modules with the strongest association with stemness. Prognostically significant stemness-related genes were pinpointed using univariate Cox regression based on The Cancer Genome Atlas dataset. A predictive model related to stemness was constructed using Least Absolute Shrinkage and Selection Operator regression followed by multivariate Cox analysis.

resultsFunctional roles of NPC2 were validated using single-cell and bulk RNA sequencing data. Further experimental validation revealed that elevated NPC2 expression promoted tumor cell stemness, invasiveness, migratory ability, and resistance to standard chemotherapeutic agents. Importantly, high NPC2 expression correlated with poorer overall survival in GC patients.

conclusionIn summary, the proposed model offers prognostic insights that outperform traditional clinical staging and may inform more tailored therapeutic approaches for gastric cancer management.

Indexed as

Cancer stem cellsGastric cancerGastric cancer stem cellsGastric cancer stemness sensitiveNiemann-Pick protein C2

Identifiers

PMID40697214
PMCPMC12278261

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