Evidence map›Paper›PMID 40697348›Full record

ArticleOncology letters2025

CIAO1 as a crucial signature gene of cuproptosis in gastric cancer.

Jiaying Qu, Chunhui Yang, Shunchen Zhou, Bosen Zhao, Qiangsong Tong, Liduan Zheng

Abstract read
In one paragraph

Article in Oncology letters, 2025. 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

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

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

6 authors.

Jiaying QuDepartment of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China.
Chunhui YangDepartment of Pediatric Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China.
Shunchen ZhouDepartment of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China.
Bosen ZhaoDepartment of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China.
Qiangsong TongDepartment of Pediatric Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China.
Liduan ZhengDepartment of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer is a global health challenge, necessitating the identification of novel biomarkers and therapeutic targets. The present study aimed to assess the role of cuproptosisrelated genes (CRGs) in gastric cancer, with the goal of establishing a predictive model consisting of key regulators with prognostic significance, thereby enabling the identification of key genes. Data from The Cancer Genome Atlas and Gene Expression Omnibus databases were used to analyze CRGs in stomach adenocarcinoma (STAD). Least absolute shrinkage and selection operator regression analysis was applied to create a risk model, and its predictive accuracy was confirmed for several clinical subgroups. Moreover, the prognostic value of essential regulators was evaluated through multiple analyses. A risk model with 15 CRGs was used to effectively predict STAD prognosis, demonstrating areas under the receiver operating characteristic curve values of 0.822, 0.811 and 0.922 for 1-, 3- and 5-year overall survival rates, respectively. The risk scores were associated with survival and tumor site. Among the CRGs, the gene for cytosolic iron-sulfur assembly component 1 (

Indexed as

cuproptosiscytosolic ironsulfur assembly component 1gastric cancerimmunotherapyiron-sulfur cluster assembly

Identifiers

PMID40697348
PMCPMC12280864

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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.