Evidence map›Paper›PMID 40252157›Full record

ArticleDiscover oncology2025

ADAMTSL2 is an independent predictor for the prognosis of gastric cancer.

Xiuling Zhu, Zhongyuan Cui, Shasha Li, Yingzhen She, Zhixian Wu

Abstract read
In one paragraph

Article in Discover 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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0citing papers in PubMed
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1 · What the graph read from it

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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

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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.

Xiuling Zhu *Department of Hepatobiliary, The 900th Hospital of Joint Service Support Force (Fuzong Clinical Medical College), Fujian Medical University, 156, North Xi'erhuan Rd, Fuzhou, 350025, Fujian, China.
Zhongyuan Cui *Department of Hepatobiliary, The 900th Hospital of Joint Service Support Force (Fuzong Clinical Medical College), Fujian Medical University, 156, North Xi'erhuan Rd, Fuzhou, 350025, Fujian, China.
Shasha LiDepartment of Hepatobiliary, The 900th Hospital of Joint Service Support Force (Fuzong Clinical Medical College), Fujian Medical University, 156, North Xi'erhuan Rd, Fuzhou, 350025, Fujian, China.
Yingzhen SheDepartment of Hepatobiliary, The 900th Hospital of Joint Service Support Force (Fuzong Clinical Medical College), Fujian Medical University, 156, North Xi'erhuan Rd, Fuzhou, 350025, Fujian, China.
Zhixian WuDepartment of Hepatobiliary, The 900th Hospital of Joint Service Support Force (Fuzong Clinical Medical College), Fujian Medical University, 156, North Xi'erhuan Rd, Fuzhou, 350025, Fujian, China. zxwu@xmu.edu.cn.

Funding

hospital level project of the 900th Hospital of the Joint Logistics Support Force 2021MS22
6 · The paper itself

Abstract

aimsTo explore novel biomarkers capable of predicting the prognosis of gastric cancer (GC) and investigate the mechanisms underlying the development of GC.

methodsFirstly, differentially expressed genes (DEGs) in GC tumors and adjacent tissues were analyzed using transcriptome sequencing data. Then, the DEGs significantly associated with the prognosis of GC were selected. From this subset, genes with high protein expression levels in tumor tissues were focused. Multivariate hazard analysis was performed to further identify DEGs with independent prognostic value for GC patients. Eventually, the potential mechanisms involving DEGs that underlie the development of GC were investigated.

resultsAltogether, 25 previously DEGs that have not been reported before were discovered in the context of GC. Among these genes, ADAMTSL2, DSCC1, COL5A3, F2RL2, GRIN2D, IGSF6, IER5L, PLA2G7, PODNL1, RCN3 and RTN4RL2 were significantly associated with the overall survival, first progression and post progression survival of GC patients. Moreover, protein levels of ADAMTSL2, COL5A3, DSCC1, GRIN2D, PODNL1 and RCN3 were consistently highly expressed in clinical GC specimens. Furthermore, multivariate hazard analysis identified ADAMTSL2 as an independent predictor of GC prognosis. Further exploration revealed a potential regulatory connection between ADAMTSL2 and hsa-miR-7-2-3p. hsa-miR-7-2-3p was significantly down-regulated in GC and GC patients with low expression of hsa-miR-7 had a poor overall survival. Additionally, ADAMTSL2 was significantly co-expressed with key molecules (NOTCH1, NOTCH3, NOTCH4 and HEY1) in Notch signaling pathway.

conclusionsADAMTSL2 stands out as an independent predictor for the prognosis of GC and may play a crucial pathological role in the development of GC.

Indexed as

ADAMTSL2BiomarkerGastric cancer (GC)PrognosisTranscriptomics

Identifiers

PMID40252157
PMCPMC12009256

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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.