We are a data science group and research laboratory that plans, coordinates, manages and analyzes studies across all areas of ovarian cancer research. Most of our work focuses on basic, translational and clinical studies at the intersection of genomics, informatics and immunotherapy for ovarian cancer.
- Daudi S, Eng KH, Mhawech-Fauceglia P, Morrison C, Miliotto A, Beck A, Matsuzaki J, Tsuji T, Groman A, Gnjatic S, Spagnoli G, Lele S, Odunsi K. Expression and immune responses to MAGE antigens predict survival in epithelial ovarian cancer. PloS one. 2014; 9(8):e104099. PMID: 25101620, PMCID: PMC4125181
- Eng KH, Tsuji T. Differential antigen expression profile predicts immunoreactive subset of advanced ovarian cancers. PloS one. 2014; 9(11):e111586. PMID: 25380171.
- Eng KH, Seagle BL. Covariate-Adjusted Restricted Mean Survival Times and Curves. Journal of clinical oncology : official journal of the American Society of Clinical Oncology. 2017; 35(4):465-466. PMID: 28129530
RPCI Ovarian Cancer Study. We manage an ongoing study of over 1,400 women treated for ovarian cancer at RPCI using modern EHR based data abstraction. We often collaborate with residents and fellows to explore new ideas and test their hypotheses.
* Eng KH, Morrell K, Starbuck K, Spring-Robinson C, Khan A, Cleason D, Akman L, Zsiros E, Odunsi K, Szender JB. Prognostic value of miliary versus non-miliary sub-staging in advanced ovarian cancer. Gynecol Oncol. 2017 May 8. pii: S0090-8258(17)30844-2. PMID: 28495239.
* Szender JB, Papanicolau-Sengos A, Eng KH, Miliotto AJ, Lugade AA, Gnjatic S, Matsuzaki J, Morrison CD, Odunsi K. NY-ESO-1 expression predicts an aggressive phenotype of ovarian cancer. Gynecologic oncology. 2017; 145(3):420-425. PMID: 28392127
* Eng KH, Hanlon BM, Bradley WH, Szender JB. Prognostic factors modifying the treatment-free interval in recurrent ovarian cancer. Gynecologic oncology. 2015; 139(2):228-35. PMID: 26383827.
Familial Ovarian Cancer Registry. We assist in data management and research in this ongoing study of over 50,000 people, 5,600 ovarian cancers, 2,700 families tackling the genetic origins of hereditary ovarian cancer and studying the environmental and genetic effect that may alter predisposition to ovarian and other cancers in these families. Full publication list https://www.ncbi.nlm.nih.gov/myncbi/browse/collection/47265594/?sort=da…