Feldman, Michael

The Immune Landscape of Cancer

Thorsson, V., Gibbs, D. L., Brown, S. D., Wolf, D., Bortone, D. S., Ou Yang, T.-H., Porta-Pardo, E., Gao, G. F., Plaisier, C. L., Eddy, J. A., et al. (2018) · Immunity

Cancer Immunotherapy and BiomarkersImmune cells in cancer

Cited by 5,870

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

Liu, J., Lichtenberg, T., Hoadley, K. A., Poisson, L. M., Lazar, A. J., Cherniack, A. D., Kovatich, A. J., Benz, C. C., Levine, D. A., Lee, A. V., et al. (2018) · Cell

Cancer Genomics and DiagnosticsGene expression and cancer classification

Cited by 3,725

Oncogenic Signaling Pathways in The Cancer Genome Atlas

Sanchez-Vega, F., Mina, M., Armenia, J., Chatila, W. K., Luna, A., La, K. C., Dimitriadoy, S., Liu, D. L., Kantheti, H. S., Saghafinia, S., et al. (2018) · Cell

Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer

Cited by 3,201

Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer

Hoadley, K. A., Yau, C., Hinoue, T., Wolf, D. M., Lazar, A. J., Drill, E., Shen, R., Taylor, A. M., Cherniack, A. D., Thorsson, V., et al. (2018) · Cell

Cancer Genomics and DiagnosticsGene expression and cancer classification

Cited by 2,546

Radiation and dual checkpoint blockade activate non-redundant immune mechanisms in cancer

Twyman-Saint Victor, C., Rech, A. J., Maity, A., Rengan, R., Pauken, K. E., Stelekati, E., Benci, J. L., Xu, B., Dada, H., Odorizzi, P. M., et al. (2015) · Nature

Cancer Immunotherapy and BiomarkersImmunotherapy and Immune Responses

Cited by 2,434

Tumor Interferon Signaling Regulates a Multigenic Resistance Program to Immune Checkpoint Blockade

Benci, J. L., Xu, B., Qiu, Y., Wu, T. J., Dada, H., Twyman-Saint Victor, C., Cucolo, L., Lee, D. S. M., Pauken, K. E., Huang, A. C., et al. (2016) · Cell

Cancer Immunotherapy and Biomarkersinterferon and immune responses

Cited by 1,216

Spatial organization and molecular correlation of tumor-infiltrating lymphocytes using deep learning on pathology images

Saltz, J., Gupta, R., Hou, L., Kurc, T., Singh, P., Nguyen, V., Samaras, D., Shroyer, K. R., Zhao, T., Batiste, R., et al. (2018) · Cell Reports

AI in cancer detectionCancer Immunotherapy and Biomarkers

Cited by 1,027

A Protein-Truncating HSD17B13 Variant and Protection from Chronic Liver Disease

Abul-Husn, N. S., Cheng, X., Li, A. H., Xin, Y., Schurmann, C., Stevis, P., Liu, Y., Kozlitina, J., Stender, S., Wood, G. C., et al. (2018) · New England Journal of Medicine

Liver Disease Diagnosis and TreatmentGenetic Associations and Epidemiology

Cited by 827

Engineered CAR T Cells Targeting the Cancer-Associated Tn-Glycoform of the Membrane Mucin MUC1 Control Adenocarcinoma

Posey, A. D., Schwab, R. D., Boesteanu, A. C., Steentoft, C., Mandel, U., Engels, B., Stone, J. D., Madsen, T. D., Schreiber, K., Haines, K. M., et al. (2016) · Immunity

CAR-T cell therapy researchImmunotherapy and Immune Responses

Cited by 594

Akt-dependent metabolic reprogramming regulates tumor cell histone acetylation

Lee, J. V., Carrer, A., Shah, S., Snyder, N. W., Wei, S., Venneti, S., Worth, A. J., Yuan, Z.-F., Lim, H.-W., Liu, S., et al. (2014) · Cell Metabolism

Cancer, Lipids, and MetabolismCancer, Hypoxia, and Metabolism

Cited by 563

Comprehensive Characterization of Cancer Driver Genes and Mutations

Bailey, M. H., Tokheim, C., Porta-Pardo, E., Sengupta, S., Bertrand, D., Weerasinghe, A., Colaprico, A., Wendl, M. C., Kim, J., Reardon, B., et al. (2018) · Cell

Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer

Cited by 552

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Schaub, F. X., Dhankani, V., Berger, A. C., Trivedi, M., Richardson, A. B., Shaw, R., Zhao, W., Zhang, X., Ventura, A., Liu, Y., et al. (2018) · Cell Systems

Cancer Genomics and DiagnosticsCancer-related Molecular Pathways

Cited by 431

Whole Slide Imaging Versus Microscopy for Primary Diagnosis in Surgical Pathology: A Multicenter Blinded Randomized Noninferiority Study of 1992 Cases (Pivotal Study)

Mukhopadhyay, S., Feldman, M. D., Abels, E., Ashfaq, R., Beltaifa, S., Cacciabeve, N. G., Cathro, H. P., Cheng, L., Cooper, K., Dickey, G. E., et al. (2018) · American Journal of Surgical Pathology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 399

Perspective on Oncogenic Processes at the End of the Beginning of Cancer Genomics

Ding, L., Bailey, M. H., Porta-Pardo, E., Thorsson, V., Colaprico, A., Bertrand, D., Gibbs, D. L., Weerasinghe, A., Huang, K.-L., Tokheim, C., et al. (2018) · Cell

Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer

Cited by 399

Randomized phase II trial of nivolumab versus nivolumab and ipilimumab for recurrent or persistent ovarian cancer: an NRG Oncology Study

Zamarin, D., Burger, R. A., Sill, M. W., Powell, D. J., Lankes, H. A., Feldman, M. D., Zivanovic, O., Gunderson, C., Ko, E., Mathews, C., et al. (2020) · Journal of Clinical Oncology

Cancer Immunotherapy and BiomarkersOvarian cancer diagnosis and treatment

Cited by 345

CDK 4/6 inhibitor palbociclib (PD0332991) in Rb+ advanced breast cancer: phase II activity, safety, and predictive biomarker assessment

DeMichele, A., Clark, A. S., Tan, K. S., Heitjan, D. F., Gramlich, K., Gallagher, M., Lal, P., Feldman, M., Zhang, P., Colameco, C., et al. (2015) · Clinical Cancer Research

Advanced Breast Cancer TherapiesBreast Cancer Treatment Studies

Cited by 343

Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non–Small Cell Lung Cancer

Khorrami, M., Prasanna, P., Gupta, A., Patil, P., Velu, P. D., Thawani, R., Corredor, G., Alilou, M., Bera, K., Fu, P., et al. (2020) · Cancer Immunology Research

Radiomics and Machine Learning in Medical ImagingCancer Immunotherapy and Biomarkers

Cited by 297

BRCA locus-specific loss of heterozygosity in germline BRCA1 and BRCA2 carriers

Maxwell, K. N., Wubbenhorst, B., Wenz, B. M., De Sloover, D., Pluta, J., Emery, L., Barrett, A., Kraya, A. A., Anastopoulos, I. N., Yu, S., et al. (2017) · Nature Communications

BRCA gene mutations in cancerPARP inhibition in cancer therapy

Cited by 296

Distinct Microbial Signatures Associated With Different Breast Cancer Types

Banerjee, S., Tian, T., Wei, Z., Shih, N., Feldman, M. D., Peck, K. N., DeMichele, A. M., Alwine, J. C., & Robertson, E. S. (2018) · Frontiers in Microbiology

Gut microbiota and healthBreast Cancer Treatment Studies

Cited by 281

Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features

Doyle, S., Agner, S., Madabhushi, A., Feldman, M., & Tomaszewski, J. (2008) · 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 276

Multiplexed In Situ Imaging Mass Cytometry Analysis of the Human Endocrine Pancreas and Immune System in Type 1 Diabetes

Wang, Y. J., Traum, D., Schug, J., Gao, L., Liu, C., Atkinson, M. A., Powers, A. C., Feldman, M. D., Naji, A., Chang, K.-M., et al. (2019) · Cell Metabolism

Diabetes and associated disordersPancreatic function and diabetes

Cited by 228

Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology

Zhang, D., Schroeder, A., Yan, H., Yang, H., Hu, J., Lee, M. Y. Y., Cho, K. S., Susztak, K., Xu, G. X., Feldman, M. D., et al. (2024) · Nature Biotechnology

Single-cell and spatial transcriptomicsCell Image Analysis Techniques

Cited by 219

The ovarian cancer oncobiome

Banerjee, S., Tian, T., Wei, Z., Shih, N., Feldman, M. D., Alwine, J. C., Coukos, G., & Robertson, E. S. (2017) · Oncotarget

Ovarian cancer diagnosis and treatmentGut microbiota and health

Cited by 204

CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction

Vaidya, P., Bera, K., Gupta, A., Wang, X., Corredor, G., Fu, P., Beig, N., Prasanna, P., Patil, P. D., Velu, P. D., et al. (2020) · The Lancet Digital Health

Radiomics and Machine Learning in Medical ImagingLung Cancer Diagnosis and Treatment

Cited by 134