Nathanael R. Fillmore
Topics / Precision Oncology
Topic

Precision Oncology

Fillmore has focused on the integration of large-scale genomic, clinical, and imaging data to refine cancer stratification and treatment selection. His work includes the development of national data repositories and the application of machine learning to predict survival outcomes in lung cancer and identify targetable molecular subgroups in advanced prostate cancer. Additionally, he has investigated the impact of age on immunotherapy biomarkers, providing evidence that older patients may maintain a robust capacity for response to immune checkpoint blockade.

U.S. Veterans and VA Data 4 Genomic Analysis 3 Electronic Health Records 2 Real World Evidence 2 Clinical Data Integration 2 Retrospective Cohort Study 1 Prostate Cancer 1 Metastatic Castration-Resistant Prostate Cancer 1 Targeted Tumor Sequencing 1 Risk Stratification 1 Advanced Stage Malignancy 1 Age Factors 1

Publications (5)

2023

Prostate cancer patient stratification by molecular signatures in the Veterans Precision Oncology Data Commons.

Kyle M. Hernandez†, Aarti Venkat†, Danne C. Elbers†, John R. Bihn, Mary T. Brophy, Nhan V. Do, Jennifer La, Qiong Liu, Andrew Prokhorenkov, Noah Metoki-Shlubsky, Feng-Chi Sung, Channing J. Paller‡, Nathanael R. Fillmore‡, Robert L. Grossman‡† Equal first authorship · ‡ Equal senior authorship

Cold Spring Harbor Molecular Case Studies9(4)
U.S. Veterans and VA Data Retrospective Cohort Study Prostate Cancer Metastatic Castration-Resistant Prostate Cancer Precision Oncology
2021

Evaluating the impact of age on immune checkpoint therapy biomarkers.

Rossin Erbe, Zheyu Wang, Sharon Wu, Joanne Xiu, Neeha Zaidi, Jennifer La, David Tuck, Nathanael Fillmore, Nicolas A. Giraldo, Michael Topper, Stephen Baylin, Marc Lippman, Claudine Isaacs, Reva Basho, Ilya Serebriiskii, Heinz-Josef Lenz, Igor Astsaturov, John Marshall, Josephine Taverna, Jerry Lee, Elizabeth M. Jaffee, Torres Evanthia T. Roussos, Ashani Weeraratna, Hariharan Easwaran, Elana J. Fertig

Cell Reports36(8), 109599
Age Factors Biomarkers Comparative Analysis Genomic Analysis Immune Checkpoint Inhibitors
2019

Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons.

Nhan V. Do, Jaime C. Ramos, Nathanael R. Fillmore, Robert L. Grossman, Michael Fitzsimons, Danne C. Elbers, Frank Meng, Brett R. Johnson, Samuel Ajjarapu, Corri L. DeDomenico, Karen E. Pierce-Murray, Robert B. Hall, Andrew F. Do, Kelly Gaynor, Peter L. Elkin, Mary T. Brophy

Studies in Health Technology and Informatics264, 1453
U.S. Veterans and VA Data Lung Cancer Machine Learning Predictive Modeling Overall Survival
2019

The Veterans Precision Oncology Data Commons: Transforming VA data into a national resource for research in precision oncology.

Nhan Do, Robert Grossman, Theodore Feldman, Nathanael Fillmore, Danne Elbers, David Tuck, Rupali Dhond, Luis Selva, Frank Meng, Michael Fitzsimons, Samuel Ajjarapu, Siamack Ayandeh, Robert Hall, Stephanie Do, Mary Brophy

Seminars in Oncology46(4-5), 314-320
U.S. Veterans and VA Data Electronic Health Records Precision Oncology Data Sharing Platform Clinical Informatics