Evidence map›Paper›PMID 40473764›Full record

ArticleScientific reports2025

Development of a prognostic model for chemotherapy response and identification of TNFAIP2 as a target in colorectal cancer.

Cheng Zhou, Chuan-Hai Xu, Min Xu, Xin-Kun Huang, Bin Zhu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

5 authors.

Cheng Zhou *Department of General Surgery, Yancheng First Hospital, Affiliated Hospital of Nanjing University Medical School, Yancheng, China.
Chuan-Hai Xu *Department of Pathology, Yancheng First Hospital, Affiliated Hospital of Nanjing University Medical School, Yancheng, China.
Min Xu *Department of General Surgery, Yancheng First Hospital, Affiliated Hospital of Nanjing University Medical School, Yancheng, China.
Xin-Kun HuangDepartment of General Surgery, Affiliated Tumor Hospital of Nantong University, Nantong, 226001, Jiangsu, China. yellowxk1995@outlook.com.
Bin ZhuDepartment of General Surgery, Yancheng First Hospital, Affiliated Hospital of Nanjing University Medical School, Yancheng, China. zhubin1029@126.com.

Funding

The Foundation of Yancheng Health Commission YK2023010The Foundation of Yancheng science and technology bureau YCBK2023072
6 · The paper itself

Abstract

Oxaliplatin, a key chemotherapeutic agent, often induces resistance in colorectal cancer (CRC) treatment, highlighting the urgent need for reliable biomarkers to predict treatment efficacy. In this study, we aimed to identify key genes associated with oxaliplatin resistance in CRC and to evaluate their potential as prognostic biomarkers. Using CRC patient data from the TCGA dataset, we categorized patients into oxaliplatin-resistant and -sensitive groups and conducted differential expression analysis. Key feature genes were identified through univariate Cox analysis, LASSO regression, and stepwise multivariate Cox regression. The predictive value of the identified markers was validated using logistic regression, weighted gene co-expression network analysis (WGCNA), and external validation in GEO cohorts. The tumor microenvironment (TME) was assessed using the MCP-counter algorithm, and CRC cell experiments were performed to evaluate changes in drug sensitivity following oxaliplatin exposure. Based on TCGA CRC data, we constructed a prognostic index derived from a three-gene signature associated with oxaliplatin resistance. This index was significantly correlated with progression-free survival (PFS) in oxaliplatin-resistant CRC patients and showed robust prognostic performance, with AUCs of 0.848 and 0.861 in gastric cancer and pancreatic adenocarcinoma cohorts, respectively. Notably, TNFAIP2 knockout significantly reduced clonogenic ability in CRC cells following oxaliplatin treatment. Our results identify TLE4, TNFAIP2, and ARGLU1 as key contributors to oxaliplatin resistance in CRC. The oxaliplatin resistance-related gene signature (ORGSig) serves as a promising tool for predicting treatment response and prognosis in CRC patients receiving oxaliplatin-based chemotherapy. This signature also offers potential for guiding personalized therapy and overcoming drug resistance in clinical practice.

Indexed as

Colorectal NeoplasmsDrug Resistance, NeoplasmAntineoplastic AgentsBiomarkers, TumorCell Line, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleOxaliplatinPrognosisTumor MicroenvironmentAntineoplastic AgentsBiomarkers, TumorOxaliplatinChemoresistanceCRCOxaliplatinPrognostic markerTNFAIP2

Identifiers

PMID40473764
PMCPMC12141457

What Socratic 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 Socratic graph.