Evidence map›Paper›PMID 42360660›Full record

ArticleCellular oncology (Dordrecht, Netherlands)2026

Disulfidptosis-related signatures identify SPARC

Yuxuan Xu, Xianming Kong, Jin Li, Dongxi Xiang

Abstract read
In one paragraph

Article in Cellular oncology (Dordrecht, Netherlands), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yuxuan XuState Key Laboratory of Systems Medicine for Cancer, Department of Biliary-Pancreatic Surgery, Department of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Cancer System Regulation and Clinical Translation, Shanghai Cancer Institute, Shanghai, China.
Xianming KongCollaborative Research Center for Biomedicines, Shanghai University of Medicine and Health Sciences, Shanghai, China.
Jin LiDepartment of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, China. 081106258@fudan.edu.cn.
Dongxi XiangState Key Laboratory of Systems Medicine for Cancer, Department of Biliary-Pancreatic Surgery, Department of Gastrointestinal Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Cancer System Regulation and Clinical Translation, Shanghai Cancer Institute, Shanghai, China. dxiang@shsmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisulfidptosis is a novel form of glucose starvation-induced cell death, yet its prognostic implications in gastric cancer (GC) remain largely undefined.

methodsWe integrated single-cell and bulk multi-omics data to identify core disulfidptosis-related genes. A robust Cox regression-based prognostic model was constructed. Machine learning combined with single-cell interaction analyses was used to delineate the mechanistic roles of key genes across different patient strata. Multi‑omics profiling was performed to characterize mutation landscapes and immune microenvironment features. Cell‑cell interaction analysis was conducted to explore ligand‑receptor pathways.

resultsSPARC, CYR61, and TIMP1 were identified as core disulfidptosis-related genes. High disulfidptosis scores correlated with IGHA1/IGHA2 mutations and a depleted immune microenvironment, whereas low scores were driven by LYZ amplification and active immune infiltration. Machine learning identified SPARC and CYR61 as core genes, predominantly expressed in endothelial cells and fibroblasts. Cell‑cell interaction analysis revealed that SPARC

conclusionsDisulfidptosis features serve as critical prognostic biomarkers in gastric cancer and actively orchestrate immunosuppression within the tumor microenvironment. These insights present promising translational avenues for patient specific immunotherapeutic strategies.

Indexed as

DisulfidptosisOsteonectinStomach NeoplasmsStromal CellsGene Expression Regulation, NeoplasticHumansSignal TransductionTumor MicroenvironmentOsteonectinSPARC protein, humanDisulfidptosisGastric cancerImmunosuppressionPrognostic signatureStromal cells

Identifiers

PMID42360660
PMCPMC13562495

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.