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Dive into the research topics where Clinton Yam is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Characteristics and Clinical Outcomes of BRCA Germline Mutation Carriers with Advanced Breast Cancer Treated with PARP (Poly ADP-Ribose Polymerase) Inhibitors: A Single-Institution Experience †
Akkoc Mustafayev, F. N., Fountzilas, E., Munsell, M. F., Layman, R. M., Yam, C., Gutierrez, A. M., Albarracin, C. T., Ahmed, Z., Schlacher, K., Tainer, J. A. & Arun, B. K., Apr 2026, In: Cancers. 18, 8, 1258.Research output: Contribution to journal › Article › peer-review
Open Access -
Sacituzumab Govitecan plus Pembrolizumab for Advanced Triple-Negative Breast Cancer
Tolaney, S. M., de Azambuja, E., Kalinsky, K., Loi, S., Kim, S. B., Yam, C., Rapoport, B., Im, S. A., Pistilli, B., McHayleh, W., Cescon, D. W., Watanabe, J., Bañuelas, M. A. L., Freitas, R., Bofill, J. S., Afshari, M., Gary, D., Wang, L., Lai, C. & Schmid, P., Jan 22 2026, In: New England Journal of Medicine. 394, 4, p. 354-366 13 p.Research output: Contribution to journal › Article › peer-review
6 Link opens in a new tab Scopus citations -
An Annotated Biobank of Triple-Negative Breast Cancer Patient-Derived Xenografts Features Treatment-Naïve and Longitudinal Samples during Neoadjuvant Chemotherapy
Rinkenbaugh, A. L., Qi, Y., Cai, S., Shao, J., Baameur Hancock, F., Jeter-Jones, S. L., Zhang, X., Powell, E., Huo, L., Lau, R., Fu, C., Gould, R., den Hollander, P., Ravenberg, E. E., White, J. B., Rauch, G. M., Arun, B., Yam, C., Thompson, A. M. & Echeverria, G. V. & 4 others, , Nov 3 2025, In: Cancer Research. 85, 21, p. 4062-4080 19 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Combining Biology-based and MRI Data-driven Modeling to Predict Response to Neoadjuvant Chemotherapy in Patients with Triple-Negative Breast Cancer
Stowers, C. E., Wu, C., Xu, Z., Kumar, S., Yam, C., Son, J. B., Ma, J., Tamir, J. I., Rauch, G. M. & Yankeelov, T. E., Jan 2025, In: Radiology: Artificial Intelligence. 7, 1Research output: Contribution to journal › Article › peer-review
Open Access10 Link opens in a new tab Scopus citations -
Deep Learning Models Based on Pretreatment MRI and Clinicopathological Data to Predict Responses to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer
Xu, Z., Zhou, Z., Son, J. B., Feng, H., Adrada, B. E., Moseley, T. W., Candelaria, R. P., Guirguis, M. S., Patel, M. M., Whitman, G. J., Leung, J. W. T., Le-Petross, H. T. C., Mohamed, R. M., Panthi, B., Lane, D. L., Chen, H., Wei, P., Tripathy, D., Litton, J. K. & Valero, V. & 8 others, , Mar 2025, In: Cancers. 17, 6, 966.Research output: Contribution to journal › Article › peer-review
Open Access8 Link opens in a new tab Scopus citations