Evidence map›Paper›PMID 40397302›Full record

ArticleDiscover oncology2025

Computational analysis of DEHP's oncogenic role in colorectal cancer.

Zhou Zhu, Jian Qin, Chungang He, Shuangyou Wang, Yaolin Lu, Shuai Wang, Xiaogang Zhong

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

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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

7 authors.

Zhou Zhu *Department of Colorectal and Anal Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, Guangxi, China.
Jian Qin *Department of Radiation Oncology, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, Guangxi, China.
Chungang HeDepartment of Colorectal and Anal Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, Guangxi, China.
Shuangyou WangDepartment of Colorectal and Anal Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, Guangxi, China.
Yaolin LuDepartment of Colorectal and Anal Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, Guangxi, China.
Shuai WangDepartment of Colorectal and Anal Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, Guangxi, China.
Xiaogang ZhongDepartment of Colorectal and Anal Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, Guangxi, China. xiaogangzhong@163.com.

Funding

the General Research Program of Guangxi Natural Science Foundation 2023GXNSFAA026257
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) remains a leading cause of cancer-related mortality globally, with many patients diagnosed at advanced stages. Current treatments, including surgery, chemotherapy, and targeted therapies, face limitations due to tumor metastasis and chemoresistance. Di-(2-ethylhexyl) phthalate (DEHP), a widely-used plasticizer, has been linked to various cancers, including CRC, through mechanisms such as metabolic reprogramming and inflammation. However, the direct relationship between DEHP and CRC requires further elucidation.

methodsWe integrated transcriptomic data from TCGA-COADREAD (41 normal and 476 cancer tissues) and GEO datasets (GSE32323 and GSE21510) to identify differentially expressed genes (DEGs) using the `limma` package. We predicted DEHP molecular targets via SwissTargetPrediction and ChEMBL databases and constructed a protein-protein interaction (PPI) network using STRING. Machine learning methods, including LASSO regression, SVM, and Random Forest, identified key genes. SHAP analysis and ssGSEA were employed to evaluate gene importance and immune cell infiltration, respectively. Molecular docking experiments assessed the binding affinity of DEHP with key proteins.

resultsDifferential expression analysis identified 86 common genes involved in pathways such as PI3K-Akt and p53 signaling. The PPI network highlighted 14 candidate genes, with machine learning methods narrowing down to three key genes: CDK1, CDK4, and BCL2. SHAP analysis showed CDK1 and CDK4 as top contributors, while ssGSEA revealed significant correlations between these genes and immune cell infiltration. Molecular docking experiments demonstrated strong binding affinities of DEHP with BCL2 (- 8.7 kcal/mol), CDK1 (- 7.8 kcal/mol), and CDK4 (- 6.8 kcal/mol).

conclusionThis study provides comprehensive insights into the oncogenic mechanisms of DEHP in CRC, identifying key genes and pathways that may serve as potential therapeutic targets. Our findings highlight the need for further investigation into DEHP's role in CRC and its potential as a target for prevention and treatment strategies.

Indexed as

Colorectal cancerDEHPImmune cell infiltrationMachine learningMolecular dockingSHAP analysis

Identifiers

PMID40397302
PMCPMC12095122

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.