ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2025
Retrospective study assessing the role of the androgen receptor in clear cell renal cell cancer patients treated with VEGFR inhibitors in monotherapy.
Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Authors and funding
19 authors.
Funding
Abstract
background and purposeDespite that incorporating antiangiogenic in combination with immune-checkpoint inhibitors as the standard first-line treatment for advanced clear cell renal cell cancer (ccRCC) yields promising outcomes, these regimens often lead to significant toxicity. However, a subgroup of patients has shown responsiveness to VEGFR tyrosine-kinase inhibitors (TKIs) in monotherapy, leading to the question of whether employing combination therapies can significantly enhance overall survival in all patients over monotherapy. Thus, we aim to identify gene expression signatures that can predict TKI response within subpopulations that might benefit from single-agent therapies, to minimize unnecessary exposure to combination therapies and their associated toxicities, as well as to discover new potential therapeutic targets to improve ccRCC treatment. Based on prior data, the androgen receptor (AR) might meet both conditions. PATIENTS AND
methodsWe evaluated the association between AR expression, assessed through NanoString
resultsHigher AR-expression correlates significantly with better prognosis and survival based on the MSKCC risk score, and longer PFS. Furthermore, we have identified a gene set signature associated with AR-overexpression and several genes involved in angiogenesis and transcriptional targets of the hypoxia-inducible factor, a cornerstone of ccRCC.
conclusionsAR-overexpression and its association with other genes could favor a transcriptomic signature set to aid in identifying patients suitable for TKI in monotherapy, rather than aggressive combinations, enhancing thus, precision and personalized therapeutic decisions.
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