Evidence map›Paper›PMID 41085907›Full record

ArticleDigestive diseases and sciences2026

Shared Biomarkers LCN2 and CXCL11 for Ulcerative Colitis and Colon Cancer: Bioinformatics Analysis and Diagnostic Model Construction.

Zhihao Wu, Xiaofen Sun, Binglong Li, Zhiyuan Xie, Jing Zheng, Nianqing Sun, Ying Guan, Jianqiang Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Digestive diseases and 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

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

8 authors.

Zhihao WuDepartment of Radiology, The First Clinical College, The First Affiliated Hospital, Hainan Medical University, Haikou, 570100, People's Republic of China.
Xiaofen SunDepartment of Radiology, The First Clinical College, The First Affiliated Hospital, Hainan Medical University, Haikou, 570100, People's Republic of China.
Binglong LiDepartment of Radiology, The First Clinical College, The First Affiliated Hospital, Hainan Medical University, Haikou, 570100, People's Republic of China.
Zhiyuan XieDepartment of Radiology, The First Clinical College, The First Affiliated Hospital, Hainan Medical University, Haikou, 570100, People's Republic of China.
Jing ZhengDepartment of Radiology, The First Clinical College, The First Affiliated Hospital, Hainan Medical University, Haikou, 570100, People's Republic of China.
Nianqing SunDepartment of Radiology, The First Clinical College, The First Affiliated Hospital, Hainan Medical University, Haikou, 570100, People's Republic of China.
Ying GuanDepartment of Ultrasound, The First Clinical College, The First Affiliated Hospital, Hainan Medical University, Haikou, China.
Jianqiang ChenDepartment of Radiology, The First Clinical College, The First Affiliated Hospital, Hainan Medical University, Haikou, 570100, People's Republic of China. hnchenjq@163.com.

Funding

Hainan Provincial Health Science and Technology Innovation Project WSJK2024MS136Key Research and Development Plan Project of Hainan Province ZDYF2023SHFZ142National Natural Science Foundation of China 82260343
6 · The paper itself

Abstract

backgroundLong-term chronic inflammation is an important risk factor for colon cancer. Ulcerative colitis is a complex chronic inflammatory disease. Related studies have shown that the risk of colon cancer in patients with ulcerative colitis is 2-3 times higher than that in the general population.

methodTranscriptome data from GEO and TCGA databases were analyzed using RStudio. Differential expression was analyzed with "limma" and disease-related genes were identified via WGCNA. Core genes were screened by GO, KEGG, and PPI analyses, and further refined using MCC, LASSO, and RF algorithms. Expression levels and diagnostic value were evaluated via ROC curves; a disease diagnosis model was constructed. Immune cell infiltration was assessed with CIBERSORT, and GSEA analysis was performed based on gene expression.

resultEighty-seven common genes were identified through differential analysis and WGCNA. Using these genes, a PPI network was built, and the top 15 genes were selected by the MCC algorithm. LASSO and RF algorithms identified LCN2 and CXCL11 as characteristic genes, highly expressed in the disease group with AUC > 0.7. The diagnosis model performed well. GO, KEGG, and GSEA analyses showed immune and inflammatory responses were important in the disease, with characteristic genes enriched in immune response and cell proliferation pathways.

conclusionIt was found that ulcerative colitis and colon cancer have common diagnostic markers and similar pathogenic pathways and also show similarities in the immune cell infiltration microenvironment. The disease diagnosis model constructed by combining genes is superior to the diagnostic effect of a single gene on disease.

Indexed as

Biomarkers, TumorChemokine CXCL11Colitis, UlcerativeColonic NeoplasmsComputational BiologyLipocalin-2Databases, GeneticGene Expression ProfilingHumansTranscriptomeBiomarkers, TumorChemokine CXCL11LCN2 protein, humanLipocalin-2Bioinformatic methodsCharacteristic genesColon cancerDiagnosis modelImmune cells infiltrationUlcerative colitis

Identifiers

PMID41085907

What OpenQuestion holds

Textmetadata
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.