Pardoll, Drew M.

Pathways of immune exclusion in metastatic osteosarcoma are associated with inferior patient outcomes

Ligon, J. A., Choi, W., Cojocaru, G., Fu, W., Hsiue, E. H.-C., Oke, T. F., Siegel, N., Fong, M. H., Ladle, B., Pratilas, C. A., et al. (2021) · Journal for ImmunoTherapy of Cancer

Cancer Immunotherapy and BiomarkersSarcoma Diagnosis and Treatment

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Transfer learning in a biomaterial fibrosis model identifies in vivo senescence heterogeneity and contributions to vascularization and matrix production across species and diverse pathologies

Cherry, C., Andorko, J. I., Krishnan, K., Mejías, J. C., Nguyen, H. H., Stivers, K. B., Gray-Gaillard, E. F., Ruta, A., Han, J., Hamada, N., et al. (2023) · GeroScience

Telomeres, Telomerase, and SenescenceSingle-cell and spatial transcriptomics

Cited by 66

Deep learning reveals predictive sequence concepts within immune repertoires to immunotherapy

Sidhom, J.-W., Oliveira, G., Ross-MacDonald, P., Wind-Rotolo, M., Wu, C. J., Pardoll, D. M., & Baras, A. S. (2022) · Science Advances

Cancer Immunotherapy and BiomarkersT-cell and B-cell Immunology

Cited by 57

PD‐L1 expression in melanocytic lesions does not correlate with the BRAF V600E mutation

Rodić, N., Anders, R. A., Eshleman, J. R., Lin, M.-T., Xu, H., Kim, J. H., Beierl, K., Chen, S., Luber, B. S., Wang, H., et al. (2015) · Cancer Immunology Research

Cancer Immunotherapy and BiomarkersMelanoma and MAPK Pathways

Cited by 46

A Uniform Computational Approach Improved on Existing Pipelines to Reveal Microbiome Biomarkers of Nonresponse to Immune Checkpoint Inhibitors

Shaikh, F. Y., White, J. R., Gills, J. J., Hakozaki, T., Richard, C., Routy, B., Okuma, Y., Usyk, M., Pandey, A., Weber, J. S., et al. (2021) · Clinical Cancer Research

Cancer Immunotherapy and BiomarkersGut microbiota and health

Cited by 44

The intestinal microbiome influences checkpoint blockade

Sears, C. L., & Pardoll, D. M. (2018) · Nature Medicine

Cancer Immunotherapy and BiomarkersGut microbiota and health

Cited by 43

Murine fecal microbiota transfer models selectively colonize human microbes and reveal transcriptional programs associated with response to neoadjuvant checkpoint inhibitors

Shaikh, F. Y., Gills, J. J., Mohammad, F., White, J. R., Stevens, C. M., Ding, H., Fu, J., Tam, A., Blosser, R. L., Domingue, J. C., et al. (2022) · Cancer Immunology, Immunotherapy

Cancer Immunotherapy and BiomarkersGut microbiota and health

Cited by 30

Age‐associated Senescent – T Cell Signaling Promotes Type 3 Immunity that Inhibits the Biomaterial Regenerative Response

Han, J., Cherry, C., Mejías, J. C., Krishnan, K., Ruta, A., Maestas, D. R., Peña, A. N., Nguyen, H. H., Nagaraj, S., Yang, B., et al. (2024) · Advanced Materials

Tissue Engineering and Regenerative MedicineWound Healing and Treatments

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