AI-Based Pathology classifier Predicts Sensitivity to Enzalutamide in Metastatic Hormone-Sensitive Prostate Cancer: A Biomarker Analysis of the ENZAMET Trial.
- DOI
- 10.1158/1078-0432.ccr-26-0871
- Published
- 2026 Jun 26
- Container
- Clinical cancer research : an official journal of the American Association for Cancer Research
- Publisher
- Not recorded
- Open access
- no
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1158/1078-0432.ccr-26-0871,
title = {AI-Based Pathology classifier Predicts Sensitivity to Enzalutamide in Metastatic Hormone-Sensitive Prostate Cancer: A Biomarker Analysis of the ENZAMET Trial.},
author = {Medina S and Tokuyama N and Putcha V and Pathak T and Fu P and Thomas H and Subhash VV and Yip S and Lin HM and Horvath LG and Kench JG and Zhang A and Stockler MR and Joshua AM and Azad A and Oakes SR and Davis ID and Sweeney CJ and Madabhushi A},
year = {2026},
journal = {Clinical cancer research : an official journal of the American Association for Cancer Research},
doi = {10.1158/1078-0432.ccr-26-0871},
url = {https://doi.org/10.1158/1078-0432.ccr-26-0871}
}RIS
TY - JOUR TI - AI-Based Pathology classifier Predicts Sensitivity to Enzalutamide in Metastatic Hormone-Sensitive Prostate Cancer: A Biomarker Analysis of the ENZAMET Trial. AU - Medina S AU - Tokuyama N AU - Putcha V AU - Pathak T AU - Fu P AU - Thomas H AU - Subhash VV AU - Yip S AU - Lin HM AU - Horvath LG AU - Kench JG AU - Zhang A AU - Stockler MR AU - Joshua AM AU - Azad A AU - Oakes SR AU - Davis ID AU - Sweeney CJ AU - Madabhushi A PY - 2026 JO - Clinical cancer research : an official journal of the American Association for Cancer Research DO - 10.1158/1078-0432.ccr-26-0871 UR - https://doi.org/10.1158/1078-0432.ccr-26-0871 ER -
APA
S, M., N, T., V, P., T, P., P, F., H, T., VV, S., S, Y., HM, L., LG, H., JG, K., A, Z., MR, S., AM, J., A, A., SR, O., ID, D., CJ, S., & A, M. (2026). AI-Based Pathology classifier Predicts Sensitivity to Enzalutamide in Metastatic Hormone-Sensitive Prostate Cancer: A Biomarker Analysis of the ENZAMET Trial.. Clinical cancer research : an official journal of the American Association for Cancer Research. https://doi.org/10.1158/1078-0432.ccr-26-0871
Source records
- pubmed · retrieved 2026-09-26T05:16:51.185Z
- europe-pmc · retrieved 2026-09-26T05:16:51.203Z