Nicholas Navin: Building a Classifier to Predict Chemotherapy Benefit in TNBC
Nicholas Navin/mdanderson.org

Nicholas Navin: Building a Classifier to Predict Chemotherapy Benefit in TNBC

Nicholas Navin, Director, Advanced Spatial Genomics Core, Professor and Chair, Department of Systems Biology, Director, CPRIT Single Cell Genomics Center, Associate Professor at UT MD Anderson shared a post on LinkedIn about a recent article he and his colleagues co-authored, adding:

“Our study on the ‘Ecotypes of triple-negative breast cancer in response to chemotherapy’ is out today in Nature. This was a wonderful collaboration with Clinton Yam and the Breast Medical Oncology department at MD Anderson and was led by Yun YAN, Yiyun Lin, Tapsi Kumar, PhD and many members of my lab over about 7 years.

Our analysis of over 100 pre-treatment TNBC core biopsies using scRNA-seq and spatial transcriptomic methods defined 4 major archetypes (patient level groups) across TNBC patients and 8 ecotypes (combinations of cell types in the TME and cancer cell programs).

In contrast to previous studies on immune cells in TNBC that have largely focused on T-cells our data highlight an important role of specific macrophage subtypes that are associated with both good and poor response. By leveraging all of the data, we built a classifier to predict which TNBC patients will be most likely to benefit from chemotherapy.”

Title: Ecotypes of triple-negative breast cancer in response to chemotherapy

Authors: Yun Yan, Yiyun Lin, Tapsi Kumar, Shanshan Bai, Aatish Thennavan, Jianzhuo Li, Emi Sei, Tuan Tran, Min Hu, Mitchell Rao, Chenling Tang, Siyuan He, Anna Casasent, Elizabeth Ravenberg, Gaiane Margishvili Rauch, Alyson R. Clayborn, Debu Tripathy, Alastair Thompson, Bora Lim, Lei Huo, Stacy Moulder, Clinton Yam, Nicholas Navin

Read the Full Article on Nature

Nicholas Navin: Building a Classifier to Predict Chemotherapy Benefit in TNBC

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