Combined Analysis of Bulk and Single-Cell Transcriptomic Data Reveals Dormancy-Associated Genes in Colorectal Cancer.

Xiaoxi Wang, Yifan Wu, Shiyi Fang, Yubo Hu, Wenlong Li, Lingyun Zhang, Junjie Lv, Wan Li

Abstract read

In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiaoxi WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.

Yifan WuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.

Shiyi FangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0009-0008-6704-7168

Yubo HuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.

Wenlong LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.

Lingyun ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.

Junjie LvCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.

Wan LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0002-9797-0315

Funding

Heilongjiang Provincial Science and Technology Department LH2021F043

6 · The paper itself

Abstract

Dormancy is an important factor influencing colorectal cancer (CRC) metastasis through diverse metabolic pathways and cell types. To elucidate its molecular mechanisms, bulk transcriptomic pathway scoring was integrated with single-cell RNA sequencing of epithelial, cancer stem, and immune cells to identify CRC dormancy-associated genes (CDAGs). Twenty-three CDAGs were identified. These genes were found to play a regulatory role in dormancy by participating in metabolic processes affecting energy supply or substance synthesis. In two independent CRC cohorts (GSE41258, GSE41568), machine learning models using these genes distinguished metastatic samples with area under the curve (AUC) of 0.79-0.87. High CDAG expression was associated with better recurrence-free survival in GSE41258 (

Indexed as

Colorectal NeoplasmsGene Expression Regulation, NeoplasticTranscriptomeBiomarkers, TumorFemaleGene Expression ProfilingHumansPrognosisSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisBiomarkers, Tumorbulk and single-cell transcriptomic data analysiscolorectal cancerdormancydormancy-associated genesmetabolic pathways

Identifiers

PMID42352915

DOI10.3390/ijms27125191

PMCPMC13300251

What OpenQuestion holds

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LicenceCC BY

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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.