Characterization of the Breast Cancer Liver Metastasis Microenvironment via Machine Learning Analysis of the Primary Tumor Microenvironment
BCLM tissue characterization to optimize immunotherapy is difficult because biopsies or resections are rarely performed. This study shows that a machine learning approach offers the potential to infer BCLM characteristics from the primary tumor tissue.
Authors
- Hermann B. Frieboes (ORCID: https://orcid.org/0000-0001-5959-4286)
- Junjun Zheng (ORCID: https://orcid.org/0000-0003-0334-1890)
- Dylan A. Goodin (ORCID: https://orcid.org/0000-0001-9072-7411)
- Shu‐Hsia Chen (ORCID: https://orcid.org/0000-0002-9168-5775)
- Polly Niravath (ORCID: https://orcid.org/0000-0002-0998-0274)
- Yitian Xu (ORCID: https://orcid.org/0000-0002-0558-3749)
- Cailin O’Connell (ORCID: https://orcid.org/0000-0003-2975-3455)
- Biana Godin (ORCID: https://orcid.org/0000-0001-6089-6695)
- Eric Chau (ORCID: https://orcid.org/0000-0001-5087-9234)
- Anjana Tiwari
Institutions
- Houston Methodist (US)
- University of Louisville (US)
- Cornell University (US)
- Texas A&M University (US)
Publication Details
- Journal
- Cancer Research Communications
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1158/2767-9764.crc-24-0263
- Citations
- 5
- Primary Topic
- Immune cells in cancer
- Type
- article
- Field-Weighted Citation Impact
- 1.20
Funders
- U.S. Department of Defense
- Houston Methodist Research Institute