Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study.

doi:10.1200/CCI-24-00167

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Article

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study.

JCO clinical cancer informatics - 1 Apr 2025

Shiota Masaki, Nemoto Shota, Ikegami Ryo, Tanegashima Tokiyoshi, Blas Leandro, Miyake Hideaki, Takahashi Masayuki, Oya Mototsugu, Tsuchiya Norihiko, Masumori Naoya, Kobayashi Keita, Obara Wataru, Shinohara Nobuo, Fujimoto Kiyohide, Nozawa Masahiro, Ohba Kojiro, Ohyama Chikara, Hashine Katsuyoshi, Akamatsu Shusuke, Motoshima Takanobu, Mita Koji, Gotoh Momokazu, Tatarano Shuichi, Fujisawa Masato, Tomita Yoshihiko, Mukai Shoichiro, Ito Keiichi, Eto Masatoshi

Abstract excerpt

PURPOSE: Anti-PD-1 antibodies are widely used for cancer treatment, including in advanced renal cell carcinoma (RCC). However, the therapeutic response varies among patients. This study aimed to predict tumor response to nivolumab anti-PD-1 antibody treatment for advanced RCC by integrating genetic and clinical data using machine learning (ML). METHODS: Clinical and single-nucleotide polymorphism (SNP) data...

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PMID: 40279530
DOI: 10.1200/CCI-24-00167

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