Evidence map›Paper›PMID 41158760›Full record

ArticleGenes & diseases2026

A comprehensive proteomic analysis uncovers novel molecular subtypes of gastric signet ring cell carcinoma: Identification of potential prognostic biomarkers and therapeutic targets.

Zhiyuan Jin, Li Yuan, Yubo Ma, Zu Ye, Zhao Zhang, Yi Wang, Can Hu, Jinyun Dong, Xinuo Zhang, Zhiyuan Xu and 8 more

Abstract read
In one paragraph

Article in Genes & diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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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

18 authors.

Zhiyuan JinSchool of Life Sciences, Tianjin University, Tianjin 300000, China.
Li YuanZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Yubo MaZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Zu YeZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Zhao ZhangMOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.
Yi WangZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Can HuZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Jinyun DongZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Xinuo ZhangZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Zhiyuan XuZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Yian DuZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Xiaoqing GuanZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Guangzhao PanZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Sichao TianInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China.
Juan LiZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Ruiwen ZhangDepartment of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX 77204, USA.
Jiang-Jiang QinZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.
Xiangdong ChengZhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric signet ring cell carcinoma (GSRCC) is a distinct subtype of gastric cancer with unique epidemiological and pathogenic characteristics. However, its prognostic features and molecular landscape remain poorly understood, limiting the development of targeted therapies. In this study, we analyzed clinical data from over 10,000 patients with gastric cancer treated at Zhejiang Cancer Hospital between January 2010 and December 2019. A comprehensive proteomic analysis was conducted on 112 GSRCC patients with a signet ring cell content exceeding 70%, identifying 7322 proteins. This study established a tissue-specific peptide spectral library, representing the most extensive proteomic atlas of GSRCC to date. We identified four novel proteomic subtypes: metabolism, microenvironment dysregulation, migration, and proliferation. Furthermore, PRDX2 and DDX27 emerged as potential prognostic biomarkers, which were further validated in an independent cohort of 75 patients. Molecular profiling of 79 cases that lacked expression of established gastric cancer treatment targets and biomarkers revealed significant tumor heterogeneity. Unsupervised clustering identified three distinct proteomic clusters, with cluster 2 exhibiting the poorest prognosis. Additionally, we identified four potential drug targets, including PFAS, EIF2S3, EIF6, and NFKB2. Molecular docking analysis suggested that neratinib, a clinically approved drug, could serve as a promising therapeutic agent for GSRCC, offering new avenues for clinical intervention.

Indexed as

Drug targetGastric signet ring cell carcinomaMolecular subtypesPrognostic markersProteomics

Identifiers

PMID41158760
PMCPMC12557601

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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.