Predicting Cancer Immunotherapy Response From Gut Microbiomes Using Machine Learning Models

Jul 20, 2022

Discover how researchers are using machine learning models to predict cancer immunotherapy response based on gut microbiomes. Uncover the importance of gut microbiomes in determining patient responsiveness to immunotherapy and the challenges faced in this field. Explore the potential of statistical models and machine learning in predicting patient outcomes and enhancing cancer responses through understanding microbial interactions.

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Predicting Cancer Immunotherapy Response from Gut Microbiomes Using Machine Learning Models

00:00 • 3min

Predicting Cancer Immunotherapy Response Through Gut Microbiome Analysis

02:59 • 2min

Listen to the press release about a new research paper published in Volume 13 of Oncotarget, “Predicting cancer immunotherapy response from gut microbiomes using machine learning models.” ___________________________________ A new research paper was published in Oncotarget on July 19, 2022, entitled, “Predicting cancer immunotherapy response from gut microbiomes using machine learning models.” “In the last decade, the use of cancer immunotherapy targeting immune checkpoint inhibitors (ICIs) to boost T cell mediated cancer cell clearance has significantly improved cancer patient survival [1].” Cancer immunotherapy has significantly improved patient survival. Yet, half of patients do not respond to immunotherapy. Gut microbiomes have been linked to clinical responsiveness of melanoma patients on immunotherapies; however, different taxa have been associated with response status with implicated taxa inconsistent between studies. In this new study, by Hai Liang, Jay-Hyun Jo, Zhiwei Zhang, Margaret A. MacGibeny, Jungmin Han, Diana M. Proctor, Monica E. Taylor, You Che, Paul Juneau, Andrea B. Apolo, John A. McCulloch, Diwakar Davar, Hassane M. Zarour, Amiran K. Dzutsev, Isaac Brownell, Giorgio Trinchieri, James L. Gulley, and Heidi H. Kong from the National Institutes of Health Library, National Cancer Institute, National Human Genome Research Institute, West Virginia University, Zimmerman Associates Inc., and the University of Pittsburgh, researchers used a tumor-agnostic approach to find common gut microbiome features of response among immunotherapy patients with different advanced stage cancers. Full press release - https://www.oncotarget.com/news/pr/oncotarget-predicting-cancer-immunotherapy-response-from-gut-microbiomes-using-machine-learning-models/ DOI - https://doi.org/10.18632/oncotarget.28252 Correspondence to - Heidi H. Kong - konghe@mail.nih.gov Sign up for free Altmetric alerts about this article - https://oncotarget.altmetric.com/details/email_updates?id=10.18632%2Foncotarget.28252 Keywords - gut microbiome, immunotherapy, 16S rRNA, machine learning, metagenomics About Oncotarget Oncotarget is a peer-reviewed, open access biomedical journal covering research on all aspects of oncology. To learn more about Oncotarget, please visit https://www.oncotarget.com and connect with us: SoundCloud - https://soundcloud.com/oncotarget Facebook - https://www.facebook.com/Oncotarget/ Twitter - https://twitter.com/oncotarget Instagram - https://www.instagram.com/oncotargetjrnl/ YouTube - https://www.youtube.com/OncotargetYouTube LinkedIn - https://www.linkedin.com/company/oncotarget Pinterest - https://www.pinterest.com/oncotarget/ Reddit - https://www.reddit.com/user/Oncotarget/ Oncotarget is published by Impact Journals, LLC: https://www.ImpactJournals.com Media Contact MEDIA@IMPACTJOURNALS.COM 18009220957