Integrating network toxicology, machine learning, and single-cell sequencing to reveal the FASN-mediated role of phenolic endocrine disruptors in water in promoting prostate cancer.

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Title: Integrating network toxicology, machine learning, and single-cell sequencing to reveal the FASN-mediated role of phenolic endocrine disruptors in water in promoting prostate cancer.
Authors: Zhu X; Department of Urology, Santai Hospital Affiliated to North Sichuan Medical College, Mianyang, Sichuan, China.; Department of Urology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China., Wu Q; Department of Urology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China., Li Y; Department of Urology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China., Liu Z; Department of Urology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China., Zeng Y; Department of Urology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China., Zeng Z; Department of Urology, Santai Hospital Affiliated to North Sichuan Medical College, Mianyang, Sichuan, China., Zhou Y; Department of Urology, Santai Hospital Affiliated to North Sichuan Medical College, Mianyang, Sichuan, China., Zou L; Department of Urology, Santai Hospital Affiliated to North Sichuan Medical College, Mianyang, Sichuan, China., Wu X; Department of Nursing, Santai Hospital Affiliated to North Sichuan Medical College, Mianyang, Sichuan, China., Zhao D; Department of Nursing, Santai Hospital Affiliated to North Sichuan Medical College, Mianyang, Sichuan, China., Deng Q; Department of Urology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China., Zhou T; Department of Urology, Santai Hospital Affiliated to North Sichuan Medical College, Mianyang, Sichuan, China.; Department of Urology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Source: PloS one [PLoS One] 2026 Jun 02; Vol. 21 (6), pp. e0350638. Date of Electronic Publication: 2026 Jun 02 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0350638