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A powerful machine learning approach to identify interactions of differentially abundant gut microbial subsets in patients with metastatic and non-metastatic pancreatic cancer.

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第一作者： Annacandida,Villani

第一单位： Division of Gastroenterology, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.

作者： Annacandida,Villani ^[1] ; Andrea,Fontana ^[2] ; Concetta,Panebianco ^[1] ; Carmelapia,Ferro ^[1] ; Massimiliano,Copetti ^[2] ; Radmila,Pavlovic ^[3] ; Denise,Drago ^[3] ; Carla,Fiorentini ^[4] ; Fulvia,Terracciano ^[1] ; Francesca,Bazzocchi ^[5] ; Giuseppe,Canistro ^[5] ; Federica,Pisati ^[6] ; Evaristo,Maiello ^[7] ; Tiziana Pia,Latiano ^[7] ; Francesco,Perri ^[1] ; Valerio,Pazienza ^[1]

作者单位： Division of Gastroenterology, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy. ^[1] Biostatistic Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy. ^[2] Proteomics and Metabolomics Facility (ProMeFa), IRCCS San Raffaele Scientific Institute, Milan, Italy. ^[3] Scientific Direction, Association for Research on Integrative Oncological Therapies (ARTOI), Roma, Italy. ^[4] Abdominal Surgery Unit, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy. ^[5] Histopathology Unit, Cogentech S.C.a.R.L, Milan, Italy. ^[6] Oncology Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy. ^[7]

关键词 Microbiota machine learning metastasis pancreatic cancer