| Title | Worldwide Innovative Network (WIN) Consortium in Personalized Cancer Medicine: Bringing next-generation precision oncology to patients. |
| Publication Type | Journal Article |
| Year of Publication | 2025 |
| Authors | El-Deiry WS, Bresson C, Wunder F, Carneiro BA, Dizon DS, Warner JL, Graff SL, Azzoli CG, Wong ET, Cheng L, Mani SA, Safran HP, Williams C, Meissner T, Solomon B, Rubin E, Porgador A, Berchem G, Saintigny P, Onn A, Bar J, Berger R, Gantenbein M, Chen Z, Souza Cde Pádua, Reis RManuel Vie, Sekacheva M, Cervantes A, Dahut WL, Annunziata CM, Gober K, Musallam KM, Al-Shamsi HO, Abu-Gheida I, Salazar R, Limaye S, Aref AT, Reddel RR, Homsi MUssama Al, Rouf A, Dermime S, Suwaidi JAl, Vlad C, Buiga R, Omari AAl, Abdel-Razeq H, Oñate-Ocaña LF, Nielsen FCilius, Graham L, Rueter J, Joshua AM, Girda E, Libutti S, Riedlinger G, Salem ME, Farhangfar CJ, Mesa RA, Faltas BM, Elemento O, Pramesh CS, Sengar M, Aoyama S, Ikeda S, Berindan-Neagoe I, Gaddipati H, Kulkarni M, Auzias E, Gerogianni M, Wolikow N, Istolainen S, Schlafrig P, Frankel NZ, Ferraro AR, Palma J, Gimenez APiris, Hernando-Calvo A, Felip E, Tsimberidou AM, Herbst RS, Tabernero J, Schilsky RL, Liu J, Lussier Y, Raynaud J, Batist G, Magidi S, Kurzrock R |
| Journal | Oncotarget |
| Volume | 16 |
| Pagination | 140-162 |
| Date Published | 2025 Mar 12 |
| ISSN | 1949-2553 |
| Keywords | Artificial Intelligence, Biomarkers, Tumor, Genomics, Humans, Medical Oncology, Neoplasms, Precision Medicine |
| Abstract | The human genome project ushered in a genomic medicine era that was largely unimaginable three decades ago. Discoveries of druggable cancer drivers enabled biomarker-driven gene- and immune-targeted therapy and transformed cancer treatment. Minimizing treatment not expected to benefit, and toxicity-including financial and time-are important goals of modern oncology. The Worldwide Innovative Network (WIN) Consortium in Personalized Cancer Medicine founded by Drs. John Mendelsohn and Thomas Tursz provided a vision for innovation, collaboration and global impact in precision oncology. Through pursuit of transcriptomic signatures, artificial intelligence (AI) algorithms, global precision cancer medicine clinical trials and input from an international Molecular Tumor Board (MTB), WIN has led the way in demonstrating patient benefit from precision-therapeutics through N-of-1 molecularly-driven studies. WIN Next-Generation Precision Oncology (WINGPO) trials are being developed in the neoadjuvant, adjuvant or metastatic settings, incorporate real-world data, digital pathology, and advanced algorithms to guide MTB prioritization of therapy combinations for a diverse global population. WIN has pursued combinations that target multiple drivers/hallmarks of cancer in individual patients. WIN continues to be impactful through collaboration with industry, government, sponsors, funders, academic and community centers, patient advocates, and other stakeholders to tackle challenges including drug access, costs, regulatory barriers, and patient support. WIN's collaborative next generation of precision oncology trials will guide treatment selection for patients with advanced cancers through MTB and AI algorithms based on serial liquid and tissue biopsies and exploratory omics including transcriptomics, proteomics, metabolomics and functional precision medicine. Our vision is to accelerate the future of precision oncology care. |
| DOI | 10.18632/oncotarget.28703 |
| Alternate Journal | Oncotarget |
| PubMed ID | 40073368 |
| PubMed Central ID | PMC11907938 |
