Multi-institutional Patient-level Comparison of Decipher Genomic Classifier and Artera Multimodal Artificial Intelligence (MMAI) in Prostate Cancer.
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Hong Boon Hao, Olabumuyi Adeniyi A, Zhao Shuang G, Trivedi Purvish, Putney Ryan, Katende Esther, Serna Amparo, Smith Riley, Dhillon Jasreman, Park Jong Y, Pessoa Rodrigo, Poch Michael, Grass Daniel, Pow-Sang Julio, Hakansson Alexander, Liu Yang, Davicioni Elai, Ren Yi, Tang Siyi, Croucher Danielle, Huang Huei-Chung, Chang S Laura, Feng Mary, Yamashita Rikiya, Ong Enya H W, Tay Kae Jack, Tan Kah Min, Tuan Jeffrey K L, Wang Michael L C, Khor Li Yan, Jordan Olivia G, Chang Jinhee, Datnow-Martinez Claudia, Shi Xiaolei, Shetty Amol, Rana Zaker H, Molitoris Jason K, Mishra Mark V, Kwok Young, Song Yang, Ramotar Matthew, Berlin Alejandro, Guler Ozan, Onal Cem, Vaugier Loig, Blanc-Lapierre Audrey, Supiot Stéphane, Mercier Carole, Dirix Piet, Ost Piet, Park Ryan J, Tang Chad, Rooney Michael K, Shah Shalin, Mayo Lauren, Choi Seungtaek, Frank Steven J, Hassanzadeh Comron, Hoffman Karen, McGuire Sean, Mohamad Osama, Mok Henry, Nguyen Quynh-Nhu, Patel Krishnan R, DeWeese Theodore, Kiess Ana P, Song Daniel, Delacroix Scott E, Spratt Daniel E, Nguyen Paul L, Deek Matthew, Tran Phuoc T, Sutera Philip, Chua Melvin L K, Yamoah Kosj
Аннотация
METHODS: We sought to evaluate the concordance and prognostic value of GC and MMAI across multi-institutional cohorts totaling 688 patients with localized and oligometastatic PCa. These included populations enriched for African American and East Asian patients. GC and MMAI scores were stratified into risk groups based on specimen type (biopsy or radical prostatectomy (RP)). The primary endpoint was distant metastasis-free survival (DMFS), measured from diagnosis to last follow-up or event.
RESULTS: GC and MMAI scores were significantly correlated across multiple cohorts. In Moffitt RP, biopsy, and NCCS cohorts, both MMAI and GC were prognostic alone and after adjusting for clinical variables. Multivariable analysis including both biomarkers and clinical variables showed that MMAI was significant even accounting for GC in Moffitt RP, and borderline in Moffitt biopsy. Analysis of concordant/discordant cases showed that patients who were high-risk for both GC and MMAI did qualitatively worse. In pathway analysis, concordance with GC and MMAI was high for Moffitt RP and oligometastatic patients. Across both biopsy cohorts, while most biological pathways were concordant, there were consistent discordant signaling, metabolic, and DNA repair pathways.
CONCLUSIONS: In the first direct patient-level comparison of GC and MMAI in PCa, these biomarkers were found to demonstrate moderate correlation, and both biomarkers demonstrated prognostic value across diverse populations and disease states.