Exploring the toxicological impact of N-nitrosodimethylamine (NDMA) exposure on bladder urothelial carcinoma (BLCA) through network toxicology, machine learning, and multi-dimensional bioinformatics analysis

NDMA likely promotes BLCA through multi-target and multi-pathway mechanisms. The identified core genes serve as potential diagnostic biomarkers, and the proposed AOP provides a theoretical basis for environmental risk assessment and targeted intervention strategies.

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Publication Details

Journal
Discover Oncology
Published
2026-02-09
DOI
https://doi.org/10.1007/s12672-026-04564-6
Primary Topic
Bladder and Urothelial Cancer Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring the toxicological impact of N-nitrosodimethylamine (NDMA) exposure on bladder urothelial carcinoma (BLCA) through network toxicology, machine learning, and multi-dimensional bioinformatics analysis

Xixing Wang, Jiajia Liu, Y Y Liu, Gao Yu et al.
Discover Oncology
Bladder and Urothelial Cancer Treatments
article

Exploring the toxicological impact of N-nitrosodimethylamine (NDMA) exposure on bladder urothelial carcinoma (BLCA) through network toxicology, machine learning, and multi-dimensional bioinformatics analysis

Xixing Wang, Jiajia Liu, Y Y Liu, Gao Yu, Zhiyao Shi, Limin Wang, Xiaokun Yang
article en

Abstract

NDMA likely promotes BLCA through multi-target and multi-pathway mechanisms. The identified core genes serve as potential diagnostic biomarkers, and the proposed AOP provides a theoretical basis for environmental risk assessment and targeted intervention strategies.

Discover OncologyVol. 17(1)
Shanxi Province Hospital of Traditional Chinese Medicine (CN), Shanxi University of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 63%
Bladder and Urothelial Cancer Treatments
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Exploring the toxicological impact of N-nitrosodimethylamine (NDMA) exposure on bladder urothelial carcinoma (BLCA) through network toxicology, machine learning, and multi-dimensional bioinformatics analysis — Xixing Wang, Jiajia Liu, et al. · Discover Oncology (2026) | TGRS Research Map | TGRS