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Paper · 40819002

Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology.

Wang Y and 3 others. NPJ Digit Med, 2025. Cited by 29 papers, by iCite.

11 sourcespapers-2026-11-12-0.1.0

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ConductScience Library. Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology. Papers, record 40819002. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/40819002

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Paper

PubMed's record of the paper, with iCite's citation figures. No abstract is shown.

Title
Integrative machine learning models predict prostate cancer diagnosis and biochemical recurrence risk: Advancing precision oncology.
PubMed
Journal
NPJ Digit Med
PubMed
Year
2025
PubMed
Publication types
Journal Article
PubMed
Citations, by iCite
29
iCite
Relative citation ratio, by iCite
7.4, provisional
iCite
Revised in PubMed
2025-09-14
PubMed

Authors4

The authors in the order PubMed's record lists them, with the ORCID iDs it states.

OrderAuthorForenameKindORCID iD
1Wang YYaxuan
2Zhu HHaixia
3Ren JJianlan
4Ren MMinghua

Source PubMed

Topics0

NLM's MeSH indexing of the paper, its major topics first.

None in this release.

Grants1

Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.

Grant, as the record writes itAgencyCountryNIH projectStated by
PL2024H044Natural Science Foundation of Heilongjiang ProvincePubMed

Source PubMed

Trials0

The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.

None in this release.

Comments and corrections0

PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.

None in this release.

References41

The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.

OrderPMIDTitleJournalYearIn PapersSource
140,567,132Understanding the Impact of Salvage Radiation on the Long-Term Natural History of Biochemically Recurrent Prostate Cancer After Radical Prostatectomy.Cancer Med2025https://conductscience.org/library/papers/40567132PubMed
240,082,107Prostate magnetic resonance imaging to predict grade concordance, extra prostatic extension, and biochemical recurrence after radical prostatectomy.Urol Oncol2025https://conductscience.org/library/papers/40082107PubMed
338,509,983Identification of circadian rhythm-related gene classification patterns and immune infiltration analysis in heart failure based on machine learning.Heliyon2024https://conductscience.org/library/papers/38509983PubMed
419,832,922PSA at postoperative three months can predict biochemical recurrence in patients with pathological T3 prostate cancer following radical prostatectomy.Int J Urol2009https://conductscience.org/library/papers/19832922PubMed
539,020,083Multi-omics machine learning to study host-microbiome interactions in early-onset colorectal cancer.NPJ Precis Oncol2024https://conductscience.org/library/papers/39020083PubMed
630,342,843Prognostic Value of Biochemical Recurrence Following Treatment with Curative Intent for Prostate Cancer: A Systematic Review.Eur Urol2019https://conductscience.org/library/papers/30342843PubMed
721,546,393Molecular signatures database (MSigDB) 3.0.Bioinformatics2011https://conductscience.org/library/papers/21546393PubMed
838,107,322Development and validation of a circulating tumor cells-related signature focusing on biochemical recurrence and immunotherapy response in prostate cancer.Heliyon2023https://conductscience.org/library/papers/38107322PubMed
938,918,844Identification of metastasis-related genes for predicting prostate cancer diagnosis, metastasis and immunotherapy drug candidates using machine learning approaches.Biol Direct2024https://conductscience.org/library/papers/38918844PubMed
1040,275,794Percentage of free to total PSA as a biomarker of survival in metastatic castration-resistant prostate cancer.BJU Int2025https://conductscience.org/library/papers/40275794PubMed

1 to 10 of 41

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Cited by29

The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 29 citations.

PMIDTitleJournalYearIn PapersSource
42,930,175
Interpretable Machine Learning Prognostic Model Integrating Inflammatory-Nutritional Biomarkers for Post-Prostatectomy Biochemical Recurrence: Development, Internal Validation, and Translational Target Exploration.
Curr Oncol2026https://conductscience.org/library/papers/42930175PubMed
42,729,077Multi-omics integration identifies HSPA4 as a therapeutic target and reveals DON-induced endoplasmic reticulum stress in bladder cancer.Transl Androl Urol2026https://conductscience.org/library/papers/42729077PubMed
42,591,440An externally validated lactylation-associated prognostic signature for overall survival prediction in lung adenocarcinoma identifies TUBA1C as a candidate gene.Transl Cancer Res2026https://conductscience.org/library/papers/42591440PubMed
42,374,002Development and validation of a novel T cell exhaustion-related signature to predict prognosis in patients with breast cancer.Discov Oncol2026https://conductscience.org/library/papers/42374002PubMed
42,317,213From Germline Susceptibility to Therapeutic Vulnerability: DNA Damage Response Gene Mutations Driving Multiple Myeloma Evolution and Precision Therapy.Hum Mutat2026https://conductscience.org/library/papers/42317213PubMed
42,295,562Machine learning-based identification of basement membrane-related signature to predict recurrence and immunotherapy benefit in bladder cancer.Immunol Res2026https://conductscience.org/library/papers/42295562PubMed
42,293,334Molecular Subtyping Based on EGFR Mutation-Associated Genes and the Prognostic Role of TRAF2 in Lung Adenocarcinoma.Hum Mutat2026https://conductscience.org/library/papers/42293334PubMed
42,278,330A Metabolic-Related Gene Signature for Predicting Biochemical Recurrence After Radical Prostatectomy: An Integrative Analysis and Targeted Therapeutic Validation.Int J Mol Sci2026https://conductscience.org/library/papers/42278330PubMed
42,244,150Machine learning-guided multi-omics suggests iron-dependent hormonal signaling drives root morphological plasticity in wheat under temperature stress.New Phytol2026https://conductscience.org/library/papers/42244150PubMed
42,204,546Machine learning-based prognostic model integrating preoperative HALP score and lactate dehydrogenase for predicting postoperative recurrence of prostate cancer.World J Surg Oncol2026https://conductscience.org/library/papers/42204546PubMed

1 to 10 of 29

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Genes24

The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.

GeneNCBI Gene IDLinked byIn GenesSource
AKT1207PubTator's text mininghttps://conductscience.org/library/genes/207NCBI Gene
ASPN54,829PubTator's text mininghttps://conductscience.org/library/genes/54829NCBI Gene
BCR613PubTator's text mininghttps://conductscience.org/library/genes/613NCBI Gene
BGN633PubTator's text mininghttps://conductscience.org/library/genes/633NCBI Gene
CD4920PubTator's text mininghttps://conductscience.org/library/genes/920NCBI Gene
COL1A11,277PubTator's text mininghttps://conductscience.org/library/genes/1277NCBI Gene
CTHRC1115,908PubTator's text mininghttps://conductscience.org/library/genes/115908NCBI Gene
EGFR1,956PubTator's text mininghttps://conductscience.org/library/genes/1956NCBI Gene
FAP2,191PubTator's text mininghttps://conductscience.org/library/genes/2191NCBI Gene
GAPDH2,597PubTator's text mininghttps://conductscience.org/library/genes/2597NCBI Gene

1 to 10 of 24

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Drugs0

The drugs whose trials, in the Pipelines release, list the paper.

None in this release.

Data0

The data bank entries PubMed's record names. Trial numbers are under Trials.

None in this release.

Data dates

The date of each source this release read.

PubMed
2026-11-06
PubMed
iCite
2026-11-05
iCite
PMC's ID file
2026-11-05
PMC's ID file
NIH RePORTER's grant and paper links
2026-11-01
NIH RePORTER's grant and paper links
Trials
2026-11-12
Gene search
2026-11-11
Pipelines
2026-09-18

Sources 11

  • ChEMBL, through Open TargetsCC BY-SA 3.0
  • ClinicalTrials.govNo license stated
  • HGNCCC0
  • iCiteCC BY 4.0
  • NCBI GenePublic domain (US government)
  • NIH RePORTER's grant and paper linksPublic domain
  • Open TargetsCC0 1.0
  • PMC's ID filePublic domain (US government)
  • PubMedNLM's terms
  • PubTator 3Public domain
  • UniProtCC BY 4.0
Each source's terms
  • ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
  • ClinicalTrials.govnone stated
  • HGNCCC0: https://www.genenames.org/about/license/
  • iCiteCC BY 4.0
  • NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
  • NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
  • Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
  • PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
  • PubMedNLM's terms
  • PubTator 3Public domain
  • UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

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