Shen, Ronglai
Memorial Sloan Kettering Cancer Center
17 papers on CoChatORCID 0000-0001-9694-584X
Most cited papers
- Verified
The Somatic Genomic Landscape of Glioblastoma
Brennan, C. W., Verhaak, R. G. W., McKenna, A., Campos, B., Noushmehr, H., Salama, S. R., Zheng, S., Chakravarty, D., Sanborn, J. Z., Berman, S. H., et al. (2013) · Cell
Glioma Diagnosis and TreatmentCancer Genomics and Diagnostics
Cited by 5,016
- Verified
Tumor mutational load predicts survival after immunotherapy across multiple cancer types
Samstein, R. M., Lee, C.-H., Shoushtari, A. N., Hellmann, M. D., Shen, R., Janjigian, Y. Y., Barron, D. A., Zehir, A., Jordan, E. J., Omuro, A., et al. (2019) · Nature Genetics
Cancer Immunotherapy and BiomarkersCancer Genomics and Diagnostics
Cited by 4,071
- Verified
Genomic classification of cutaneous melanoma
Akbani, R., Akdemir, K. C., Aksoy, B. A., Albert, M., Ally, A., Amin, S. B., Arachchi, H., Arora, A., Auman, J. T., Ayala, B., et al. (2015) · Cell
Melanoma and MAPK PathwaysCutaneous Melanoma Detection and Management
Cited by 3,151
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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
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Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma
Ally, A., Balasundaram, M., Carlsen, R., Chuah, E., Clarke, A., Dhalla, N., Holt, R. A., Jones, S. J. M., Lee, D., Ma, Y., et al. (2017) · Cell
Cancer Genomics and DiagnosticsHepatocellular Carcinoma Treatment and Prognosis
Cited by 2,490
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EZH2 is a marker of aggressive breast cancer and promotes neoplastic transformation of breast epithelial cells
Kleer, C. G., Cao, Q., Varambally, S., Shen, R., Ota, I., Tomlins, S. A., Ghosh, D., Sewalt, R. G. A. B., Otte, A. P., Hayes, D. F., et al. (2003) · Proceedings of the National Academy of Sciences
Epigenetics and DNA MethylationCancer Cells and Metastasis
Cited by 1,649
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Molecular determinants of response to anti-programmed cell death (PD)-1 and anti-programmed death-ligand 1 (PD-L1) blockade in patients with non-small-cell lung cancer profiled with targeted next-generation sequencing
Rizvi, H., Sanchez-Vega, F., La, K., Chatila, W., Jonsson, P., Halpenny, D., Plodkowski, A., Long, N., Sauter, J. L., Rekhtman, N., et al. (2018) · Journal of Clinical Oncology
Cancer Immunotherapy and BiomarkersLung Cancer Treatments and Mutations
Cited by 1,367
- Verified
Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis
Shen, R., Olshen, A. B., & Ladanyi, M. (2009) · Bioinformatics
Gene expression and cancer classificationCancer Genomics and Diagnostics
Cited by 849
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The nuclear deubiquitinase BAP1 is commonly inactivated by somatic mutations and 3p21.1 losses in malignant pleural mesothelioma
Bott, M., Brevet, M., Taylor, B. S., Shimizu, S., Ito, T., Wang, L., Creaney, J., Lake, R. A., Zakowski, M. F., Reva, B., et al. (2011) · Nature Genetics
Occupational and environmental lung diseasesChromatin Remodeling and Cancer
Cited by 717
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Molecular Epidemiology of EGFR and KRAS Mutations in 3,026 Lung Adenocarcinomas: Higher Susceptibility of Women to Smoking-Related KRAS -Mutant Cancers
Dogan, S., Shen, R., Ang, D. C., Johnson, M. L., D'Angelo, S. P., Paik, P. K., Brzostowski, E. B., Riely, G. J., Kris, M. G., Zakowski, M. F., et al. (2012) · Clinical Cancer Research
Lung Cancer Treatments and MutationsCancer Genomics and Diagnostics
Cited by 639
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Loss of the FAT1 Tumor Suppressor Promotes Resistance to CDK4/6 Inhibitors via the Hippo Pathway
Li, Z., Razavi, P., Li, Q., Toy, W., Liu, B., Ping, C., Hsieh, W., Sanchez-Vega, F., Brown, D. N., Da Cruz Paula, A. F., et al. (2018) · Cancer Cell
Advanced Breast Cancer TherapiesHippo pathway signaling and YAP/TAZ
Cited by 508
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Pattern discovery and cancer gene identification in integrated cancer genomic data
Mo, Q., Wang, S., Seshan, V. E., Olshen, A. B., Schultz, N., Sander, C., Powers, R. S., Ladanyi, M., & Shen, R. (2013) · Proceedings of the National Academy of Sciences
Cancer Genomics and DiagnosticsGene expression and cancer classification
Cited by 474
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Rationale for co-targeting IGF-1R and ALK in ALK fusion-positive lung cancer
Lovly, C. M., McDonald, N. T., Chen, H., Ortiz-Cuaran, S., Heukamp, L. C., Yan, Y., Florin, A., Ozretić, L., Lim, D., Wang, L., et al. (2014) · Nature Medicine
Lung Cancer Treatments and MutationsLung Cancer Research Studies
Cited by 268
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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
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The landscape of somatic genetic alterations in breast cancers from ATM germline mutation carriers
Weigelt, B., Bi, R., Kumar, R., Blecua, P., Mandelker, D. L., Geyer, F. C., Pareja, F., James, P. A., kConFab Investigators, Couch, F. J., et al. (2018) · JNCI: Journal of the National Cancer Institute
BRCA gene mutations in cancerCancer Genomics and Diagnostics
Cited by 128
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Time to recurrence and survival in serous ovarian tumors predicted from integrated genomic profiles
Mankoo, P. K., Shen, R., Schultz, N., Levine, D. A., & Sander, C. (2011) · PLoS ONE
Ovarian cancer diagnosis and treatmentBreast Cancer Treatment Studies
Cited by 104
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Abstract 5721: Automated annotation for large-scale clinicogenomic models of lung cancer treatment response and overall survival
Jee, J., Fong, C., Pichotta, K., Tran, T., Luthra, A., Altoe, M., Maron, S., Shen, R., Liu, S.-Y., Waters, M., et al. (2023) · Cancer Research
Lung Cancer Treatments and MutationsRadiomics and Machine Learning in Medical Imaging
Cited by 4
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