Jeff Boyd

Jeff Boyd


Ph.D., North Carolina State University, 1986

jboyd@cshl.edu | 516-321-2240

My research interests are in the molecular genetics, genetics, and genomics of gynecologic and breast cancers. Currently I am focused on the early natural histories of ovarian carcinoma and metastatic breast cancer, the genomics of ovarian cancer stem/progenitor cells, and the hypothesis that most breast cancers result from polygenic susceptibility.

My research interests have long been in the somatic molecular genetics, inherited genetics, and genomics of gynecologic (endometrial and ovarian) and breast cancers. Current areas of focus include elucidating the early natural history of epithelial ovarian carcinoma using combined histopathologic and molecular genetic techniques. The histogenesis of ovarian carcinoma remains very poorly understood, which is remarkable for a relatively common solid tumor type. With the recent advent of technology allowing for the interrogation of cancer “omics,” a related research goal is to perform a comprehensive genomic characterization of putative ovarian cancer stem/progenitor cells. With respect to breast cancer, I am focused on two novel hypotheses. The first is that primary breast cancers do not metastasize (linear model), but rather that primary and metastatic breast cancer lesions arise concomitantly from a small population of breast cancer stem cells (parallel model). This hypothesis is based on epidemiologic and clinical data, but awaits rigorous testing in the laboratory. Second is the hypothesis that a majority of breast cancers occur in a genetically susceptible minority of the population. This hypothesis is also based on epidemiologic and clinical data, and requires a polygenic basis for “genetic susceptibility” in this context. Finding the right laboratory and computational approach(es) to this hypothesis is a great challenge, but a tractable one. Finally, I am exploiting the advent of next-generation sequencing technology and my career-long desire to affect cancer patient care by creating a clinical molecular diagnostics program (Center for Genomic Medicine) at our clinical affiliate, the Northwell Health Cancer Institute.

Boyd, J. (2018) A parallel model for breast cancer metastasis. Breast cancer research and treatment, 170(2) pp. 443-444.

Ariazi, E. A. and Taylor, J. C. and Black, M. A. and Nicolas, E. and Slifker, M. J. and Azzam, D. J. and Boyd, J. (2017) A new role for ERα: Silencing via DNA methylation of basal, stem cell, and EMT genes. Molecular Cancer Research, 15(2) pp. 152-164.

Yan, X. and Hu, Z. and Feng, Y. and Hu, X. and Yuan, J. and Zhao, S. D. and Zhang, Y. and Yang, L. and Shan, W. and He, Q. and Fan, L. and Kandalaft, L. E. and Tanyi, J. L. and Li, C. and Yuan, C. X. and Zhang, D. and Yuan, H. and Hua, K. and Lu, Y. and Katsaros, D. and Huang, Q. and Montone, K. and Fan, Y. and Coukos, G. and Boyd, J. and Sood, A. K. and Rebbeck, T. and Mills, G. B. and Dang, C. V. and Zhang, L. (2015) Comprehensive Genomic Characterization of Long Non-coding RNAs across Human Cancers. Cancer Cell, 28(4) pp. 529-540.

Boyd, J. and Luo, B. and Peri, S. and Wirchansky, B. and Hughes, L. and Forsythe, C. and Wu, H. (2013) Whole exome sequence analysis of serous borderline tumors of the ovary. Gynecologic Oncology, 130(3) pp. 560-564.

Additional materials of the author at
CSHL Institutional Repository