Evidence map›Paper›PMID 42038020›Full record

ArticleJournal of Cancer2026

Therapeutic Targeting of Oxidative Phosphorylation in Microsatellite Instability-High Gastric Cancer.

Bing Ang, Yi Bai, Xiyue Deng, Qiong Wu, Yuqian Wang, Shanshan Xu, Weixin Zhang, Yang Li, Dapeng Chen, Ruixi Li and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of Cancer, 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

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

13 authors.

Bing AngDepartment of Medical Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
Yi BaiDepartment of Hepatobiliary Surgery, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
Xiyue DengSchool of Medicine, Nankai University, Tianjin 300071, China.
Qiong WuDepartment of Medical Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
Yuqian WangDepartment of Medical Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
Shanshan XuDepartment of Medical Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
Weixin ZhangTianjin First Central Hospital Clinic Institute, Tianjin Medical University, Tianjin 300192, China.
Yang LiSchool of Medicine, Nankai University, Tianjin 300071, China.
Dapeng ChenTianjin First Central Hospital Clinic Institute, Tianjin Medical University, Tianjin 300192, China.
Ruixi LiSchool of Medicine, Nankai University, Tianjin 300071, China.
Siyang LiTianjin First Central Hospital Clinic Institute, Tianjin Medical University, Tianjin 300192, China.
Zhigang ZhaoDepartment of Medical Oncology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.
Yamin ZhangDepartment of Hepatobiliary Surgery, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gastric cancer is the third leading cause of cancer-related mortality worldwide. According to The Cancer Genome Atlas (TCGA), it can be classified into four molecular subtypes, including microsatellite instability (MSI) and genomically stable (GS) subtypes, which display distinct clinical and pathological features. However, differences in their tumor microenvironment, particularly metabolic reprogramming, remain poorly understood. Methods: Single-cell RNA sequencing data from gastric cancer patients classified as GS or MSI were enrolled. Cell clusters were identified and annotated to compare cellular landscapes between subtypes. Differential gene expression and pathway analyses were performed among malignant epithelial cells. Key genes related to oxidative phosphorylation were identified using LASSO regression, and their expression was further validated in the TCGA dataset. Patient-derived xenograft models were used to compare tumor growth rates, ATP levels, and expression of oxidative phosphorylation -related genes. Results: Single-cell transcriptomic analysis revealed eight major cell types in MSI tumors. Compared to the GS subtype, MSI samples showed significantly greater infiltration of T cells and a lower proportion of epithelial cells. Malignant cells from MSI samples exhibited increased activity of oxidative phosphorylation pathways. LASSO regression identified five oxidative phosphorylation-related genes that were consistently overexpressed in MSI tumors in both single-cell and TCGA datasets. In Patient-derived xenograft models, MSI tumors grew more rapidly and demonstrated higher ATP levels and elevated expression of the five oxidative phosphorylation-related genes compared to MSS tumors. Conclusion: Our study reveals enhanced oxidative phosphorylation metabolism in MSI gastric cancer at single-cell resolution and identifies five oxidative phosphorylation-related genes that may serve as potential therapeutic targets for this subtype.

Indexed as

ATPgastric cancerMSIoxidative phosphorylationPDX

Identifiers

PMID42038020
PMCPMC13104725

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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.