Era-specific prognostic factors and an interpretable machine-learning survival model for renal cell carcinoma brain metastases.

Overview

Authors: S. Ozgul^1,2,3, Z.F. Akpinar^1,2, D. Suki⁴, P. Li^1,2, Z. Majeed^1,2, Y. Acikgoz^1,2, S.D. Ferguson⁴, E. Jonasch⁵, M. Hasanov^1,2, E. Hasanov^1,2

ORCID iDs: Z.F. Akpinar, P. Li, M. Hasanov

Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, USA
Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, USA
Department of Biostatistics and Medical Informatics, Suleyman Demirel University, Isparta, Turkey
Department of Neurosurgery, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, USA
Department of Genitourinary Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, USA

Institutions: Süleyman Demirel Üniversitesi (Türkiye); The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (United States); The Ohio State University (United States); The University of Texas MD Anderson Cancer Center (United States)

Journal: ESMO open, volume 11, issue 8, article 108300

Dates: published online 30 July 2026; in print August 2026

Type: Research article · Language: English

License: CC BY-NC-ND

Identifiers: DOI 10.1016/j.esmoop.2026.108300 · PMID 42531803 · PMCID PMC13452353 · OpenAlex W7171867770

Open access: gold, a free copy (OpenAlex)

Status: code on request

Categories: human (organism), other condition (population), clinical / translational (subfield)

Methods: Connectivity, Machine learning, Statistics, Preprocessing

Keywords: machine learning, AI, RCC, brain metastases, immunotherapy, prognosis

MeSH: Brain Neoplasms*, Carcinoma, Renal Cell*, Kidney Neoplasms*, Machine Learning*, Aged, Female, Humans, Male, Middle Aged, Predictive Learning Models, Prognosis, Retrospective Studies (* major topic)

Topic: Brain Metastases and Treatment (Pulmonary and Respiratory Medicine, Medicine), according to OpenAlex

Funding: American Society of Clinical Oncology; Conquer Cancer Foundation Young Investigator; International Kidney Cancer Coalition Cecile; Kidney Cancer Association Young Investigator

Citations: not cited yet (Europe PMC); 23 references in the paper

Abstract

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Code

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it says that the code is available on request

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Data

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it says that the data are available on request
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Read it in the paper: doi.org/10.1016/j.esmoop.2026.108300.

Versions

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Version 2, 28 September 2026

Authors: added M. Hasanov (0000-0002-7195-0842); removed M. Hasanov

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 10 authors, 6 keywords, 12 MeSH terms, 4 funders, 21 references.

Cite

This paper

Ozgul, S., Akpinar, Z., Suki, D., Li, P., Majeed, Z., Acikgoz, Y., Ferguson, S., Jonasch, E., Hasanov, M., & Hasanov, E. (2026). Era-specific prognostic factors and an interpretable machine-learning survival model for renal cell carcinoma brain metastases. ESMO open, 11(8), 108300. https://doi.org/10.1016/j.esmoop.2026.108300

BibTeX

@article{ozgul2026era, author = {Ozgul, S. and Akpinar, Z.F. and Suki, D. and Li, P. and Majeed, Z. and Acikgoz, Y. and Ferguson, S.D. and Jonasch, E. and Hasanov, M. and Hasanov, E.}, title = {{Era-specific prognostic factors and an interpretable machine-learning survival model for renal cell carcinoma brain metastases}}, journal = {ESMO open}, year = {2026}, month = jul, volume = {11}, number = {8}, pages = {108300}, publisher = {Elsevier}, issn = {2059-7029}, doi = {10.1016/j.esmoop.2026.108300}, url = {https://doi.org/10.1016/j.esmoop.2026.108300}, pmid = {42531803}, pmcid = {PMC13452353} }

RIS

TY - JOUR AU - Ozgul, S. AU - Akpinar, Z.F. AU - Suki, D. AU - Li, P. AU - Majeed, Z. AU - Acikgoz, Y. AU - Ferguson, S.D. AU - Jonasch, E. AU - Hasanov, M. AU - Hasanov, E. TI - Era-specific prognostic factors and an interpretable machine-learning survival model for renal cell carcinoma brain metastases T2 - ESMO open J2 - ESMO Open PY - 2026 DA - 2026/07/30 VL - 11 IS - 8 SP - 108300 SN - 2059-7029 PB - Elsevier DO - 10.1016/j.esmoop.2026.108300 UR - https://doi.org/10.1016/j.esmoop.2026.108300 LA - en ER -

CSL-JSON

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