Evidence map›Paper›PMID 41519703›Full record

ArticleBMC cancer2026

Establishment of a microbial abundance prognostic model for colorectal cancer.

Jie Lin, Zhi Ling, Wenbin Fan, Qinyun Cai, Jingjing Yang, Mingyang Tao, Huaijuan Guo, Ying Wang, Xuebing Yan, Changsong Yang

Abstract read
In one paragraph

Article in BMC cancer, 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Jie Lin *Department of Oncology, The Affiliated Hospital of Yangzhou University, Yangzhou, 225000, China.
Zhi Ling *Department of Oncology, The Affiliated Hospital of Yangzhou University, Yangzhou, 225000, China.
Wenbin Fan *Department of Oncology, The Affiliated Hospital of Yangzhou University, Yangzhou, 225000, China.
Qinyun Cai *Department of Oncology, The Affiliated Hospital of Yangzhou University, Yangzhou, 225000, China.
Jingjing YangDepartment of Oncology, The Affiliated Hospital of Yangzhou University, Yangzhou, 225000, China.
Mingyang TaoDepartment of Oncology, The Affiliated Hospital of Yangzhou University, Yangzhou, 225000, China.
Huaijuan GuoDepartment of Oncology, The Affiliated Hospital of Yangzhou University, Yangzhou, 225000, China.
Ying WangDepartment of Oncology, The Affiliated Hospital of Yangzhou University, Yangzhou, 225000, China. WYingzl@163.com.
Xuebing YanDepartment of Oncology, The Affiliated Hospital of Yangzhou University, Yangzhou, 225000, China. yyxxbb8904@163.com.
Changsong YangDepartment of Supervision, The Affiliated Hospital of Yangzhou University, Yangzhou, 225000, China. njmuycs1987@126.com.

Funding

China Postdoctoral Science Foundation (No. 2024M762749)National Natural Science Foundation of China (No.81902422 82303937)Natural Science Foundation of Jiangsu Province (No. SBK2023022610)program of Jiangsu Traditional Chinese Medicine Science and Technology Development (No. MS2024140)Yangzhou City Basic Research Program (Joint Special Project) - Health and Wellness Category (No. 2023-2-01, 2024-2-08 and 2025-2-08)
6 · The paper itself

Abstract

backgroundPrevious studies have demonstrated a close association between gut microbiota and the onset and progression of colorectal cancer (CRC). However, the prognostic and therapeutic value of microbiota in CRC remains controversial. This study integrates multiomics approaches to investigate the prognostic and therapeutic implications of microbiota in CRC.

methodsA CRC microbial abundance prognostic model (MAPM) was constructed utilizing bioinformatics approaches to evaluate its prognostic value. The relationship between MAPM and the clinical characteristics of CRC, as well as the immune microenvironment, was analyzed. Furthermore, key prognostic genes associated with the MAPM were identified and validated in vitro and in vivo assays.

resultsThe MAPM comprised 12 microbes and effectively stratified the prognosis of CRC patients. The risk score of this model exhibits a close association with the immune infiltration of CRC. Remarkably, HSF4, identified as a key gene from the MAPM, is found to be overexpressed in the tumor tissues, and its high expression independently predicts poor prognosis in CRC patients. Knockdown of HSF4 significantly inhibits the proliferation, colony formation, migration, and invasion of CRC cells in vitro, as well as the growth of xenografts in nude mice.

conclusionA MAPM is established to predict the prognosis of CRC patients, further highlighting the potential of detecting the microbiome in clinical practice. Moreover, HSF4, as a prognostic gene from the MAPM, is a promising drug target for CRC treatment.

Indexed as

Colorectal NeoplasmsGastrointestinal MicrobiomeAnimalsBiomarkers, TumorCell Line, TumorCell ProliferationComputational BiologyFemaleGene Expression Regulation, NeoplasticHumansMaleMiceMultiomicsPrognosisTumor MicroenvironmentBiomarkers, TumorBiomarkers and prognosisColorectal cancerImmune infiltrationMicrobiota

Identifiers

PMID41519703
PMCPMC12882131

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.