Evidence map›Paper›PMID 41674947›Full record

ArticleTranslational cancer research2026

Identification of necrosis-related signature for predicting prognosis and immunotherapy response in gastric cancer.

Yao Zhang, Jinghao Cao, Feifan Jin, Yajuan Lu, Yingchao Liu, Aoli Deng, Feiyan Pan, Chen Yang

Abstract read
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Article in Translational cancer research, 2026. 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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2 · The registry

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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

8 authors.

Yao Zhang *Cardiovascular Medicine Department, Shaanxi Provincial Hospital of Traditional Chinese Medicine, Xi'an, China.
Jinghao Cao *Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, China.
Feifan JinLaboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, China.
Yajuan LuLaboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, China.
Yingchao LiuLaboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, China.
Aoli DengLaboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, China.
Feiyan PanDepartment of Central Laboratory, Taizhou Hospital of Zhejiang Province, Taizhou, China.
Chen YangCancer Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gastric cancer (GC) is an important malignancy of the digestive system with a high lethal rate. Emerging evidence implicates necrosis-related genes (NRGs) as key regulators of GC progression; however, their specific mechanisms of action within the tumor microenvironment (TME), particularly regarding immune and stromal cell interactions, require further characterization. This study investigates the functional roles and clinical relevance of NRGs in shaping the GC TME. Methods: Utilizing clinical and transcriptomic profiles from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, we systematically evaluated 159 necrosis-associated genes in GC. Through differential expression analysis and functional validation, 24 genes demonstrating significant necrosis-related dysregulation were identified. Applying consensus clustering to transcriptomic profiles, we delineated three molecularly distinct necrosis subtypes in GC. These subtypes dynamically regulate distinct pathobiological cascades, functionally link to disease aggressiveness metrics, sculpt tumor immune ecosystems, and stratify patients into differential survival probability groups. Subsequently, we formulated a scoring system termed necrosis score, which was calculated to quantify the different NRG clusters of the individual GC. Results: Integrative analysis revealed a significant negative correlation between necrosis scores and immunogenic biomarkers [programmed death-ligand 1 (PD-L1) expression, tumor mutational burden (TMB), microsatellite instability-high (MSI-H) status], identifying a patient subset with enhanced immunotherapy response rates and superior survival outcomes. The opposite was observed in the high-necrosis score group. Conclusions: Collectively, necrosis subtypes are involved in TME, clinicopathological characteristics, and prognosis. Necrosis score could serve as a potential biomarker for GC and provide a new perspective on developing personalized immune therapeutic strategies for GC patients.

Indexed as

gastric cancer (GC)microsatellite instability (MSI)Necrosisprognosistumor microenvironment (TME)

Identifiers

PMID41674947
PMCPMC12885876

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