Liu, David

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

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AACR Project GENIE: Powering Precision Medicine through an International Consortium

The AACR Project GENIE Consortium, The AACR Project GENIE Consortium, André, F., Arnedos, M., Baras, A. S., Baselga, J., Bedard, P. L., Berger, M. F., Bierkens, M., Calvo, F., et al. (2017) · Cancer Discovery

Cancer Genomics and DiagnosticsLung Cancer Treatments and Mutations

Cited by 1,964

A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade

Jerby-Arnon, L., Shah, P., Cuoco, M. S., Rodman, C., Su, M.-J., Melms, J. C., Leeson, R., Kanodia, A., Mei, S., Lin, J.-R., et al. (2018) · Cell

Cancer Immunotherapy and BiomarkersT-cell and B-cell Immunology

Cited by 1,429

Integrative molecular and clinical modeling of clinical outcomes to PD1 blockade in patients with metastatic melanoma

Liu, D., Schilling, B., Liu, D., Sucker, A., Livingstone, E., Jerby-Arnon, L., Zimmer, L., Gutzmer, R., Satzger, I., Loquai, C., et al. (2019) · Nature Medicine

Cancer Immunotherapy and BiomarkersCutaneous Melanoma Detection and Management

Cited by 1,039

Genomic correlates of response to immune checkpoint blockade in microsatellite-stable solid tumors

Miao, D., Margolis, C. A., Vokes, N. I., Liu, D., Taylor-Weiner, A., Wankowicz, S. M., Adeegbe, D., Keliher, D., Schilling, B., Tracy, A., et al. (2018) · Nature Genetics

Cancer Immunotherapy and BiomarkersCancer Genomics and Diagnostics

Cited by 620

Biologically informed deep neural network for prostate cancer discovery

Elmarakeby, H. A., Hwang, J., Arafeh, R., Crowdis, J., Gang, S., Liu, D., AlDubayan, S. H., Salari, K., Kregel, S., Richter, C., et al. (2021) · Nature

Prostate Cancer Treatment and ResearchRadiomics and Machine Learning in Medical Imaging

Cited by 456

Automated Real-World Data Integration Improves Cancer Outcome Prediction

Jee, J., Fong, C., Pichotta, K., Tran, T. N., Luthra, A., Waters, M., Fu, C., Altoe, M., Liu, S.-Y., Maron, S. B., et al. (2024) · Nature

Machine Learning in HealthcareCancer Genomics and Diagnostics

Cited by 188

Machine learning for genetics-based classification and treatment response prediction in cancer of unknown primary

Moon, I., LoPiccolo, J., Baca, S. C., Sholl, L. M., Kehl, K. L., Hassett, M. J., Liu, D., Schrag, D., & Gusev, A. (2023) · Nature Medicine

Cancer Diagnosis and TreatmentCancer Genomics and Diagnostics

Cited by 122

DNAJB1-PRKACA Fusion Drives Fibrolamellar Liver Cancer through Impaired SIK Signaling and CRTC2/p300-Mediated Transcriptional Reprogramming

Gritti, I., Wan, J., Weeresekara, V., Vaz, J. M., Tarantino, G., Bryde, T. H., Vijay, V., Kammula, A. V., Kattel, P., Zhu, S., et al. (2025) · Cancer Discovery

Hepatocellular Carcinoma Treatment and PrognosisChromatin Remodeling and Cancer

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