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Cited by 288

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Whole-Exome Sequencing of Metastatic Cancer and Biomarkers of Treatment Response

Open access
Beltran, Himisha, Eng, Kenneth, Mosquera, Juan Miguel, Sigaras, Alexandros, Romanel, Alessandro, Rennert, Hanna, Kossai, Myriam, Pauli, Chantal, Faltas, Bishoy, Fontugne, Jacqueline, Park, Kyung, Banfelder, Jason, Prandi, Davide, Madhukar, Neel, Zhang, Tuo, Padilla, Jessica, Greco, Noah, McNary, Terra J., Herrscher, Erick, Wilkes, David, MacDonald, Theresa Y., Xue, Hui, Vacic, Vladimir, Emde, Anne-Katrin, Oschwald, Dayna, Tan, Adrian Y., Chen, Zhengming, Collins, Colin, Gleave, Martin E., Wang, Yuzhuo, Chakravarty, Dimple, Schiffman, Marc, Kim, Robert, Campagne, Fabien, Robinson, Brian D., Nanus, David M., Tagawa, Scott T., Xiang, Jenny Z., Smogorzewska, Agata, Demichelis, Francesca, Rickman, David S., Sboner, Andrea, Elemento, Olivier, Rubin, Mark A.·2015·JAMA Oncology

Abstract

IMPORTANCE: Understanding molecular mechanisms of response and resistance to anticancer therapies requires prospective patient follow-up and clinical and functional validation of both common and low-frequency mutations. We describe a whole-exome sequencing (WES) precision medicine trial focused on patients with advanced cancer. OBJECTIVE: To understand how WES data affect therapeutic decision making in patients with advanced cancer and to identify novel biomarkers of response. DESIGN, SETTING, AND PATIENTS: Patients with metastatic and treatment-resistant cancer were prospectively enrolled at a single academic center for paired metastatic tumor and normal tissue WES during a 19-month period (February 2013 through September 2014). A comprehensive computational pipeline was used to detect point mutations, indels, and copy number alterations. Mutations were categorized as category 1, 2, or 3 on the basis of actionability; clinical reports were generated and discussed in precision tumor board. Patients were observed for 7 to 25 months for correlation of molecular information with clinical response. MAIN OUTCOMES AND MEASURES: Feasibility, use of WES for decision making, and identification of novel biomarkers. RESULTS: A total of 154 tumor-normal pairs from 97 patients with a range of metastatic cancers were sequenced, with a mean coverage of 95X and 16 somatic alterations detected per patient. In total, 16 mutations were category 1 (targeted therapy available), 98 were category 2 (biologically relevant), and 1474 were category 3 (unknown significance). Overall, WES provided informative results in 91 cases (94%), including alterations for which there is an approved drug, there are therapies in clinical or preclinical development, or they are considered drivers and potentially actionable (category 1-2); however, treatment was guided in only 5 patients (5%) on the basis of these recommendations because of access to clinical trials and/or off-label use of drugs. Among unexpected findings, a patient with prostate cancer with exceptional response to treatment was identified who harbored a somatic hemizygous deletion of the DNA repair gene FANCA and putative partial loss of function of the second allele through germline missense variant. Follow-up experiments established that loss of FANCA function was associated with platinum hypersensitivity both in vitro and in patient-derived xenografts, thus providing biologic rationale and functional evidence for his extreme clinical response. CONCLUSIONS AND RELEVANCE: The majority of advanced, treatment-resistant tumors across tumor types harbor biologically informative alterations. The establishment of a clinical trial for WES of metastatic tumors with prospective follow-up of patients can help identify candidate predictive biomarkers of response.

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Authors
Beltran, H., Eng, K., Mosquera, J. M., Sigaras, A., Romanel, A., Rennert, H., Kossai, M., Pauli, C., Faltas, B., Fontugne, J., Park, K., Banfelder, J., Prandi, D., Madhukar, N., Zhang, T., Padilla, J., Greco, N., McNary, T. J., Herrscher, E., Wilkes, D., MacDonald, T. Y., Xue, H., Vacic, V., Emde, A.-K., Oschwald, D., Tan, A. Y., Chen, Z., Collins, C., Gleave, M. E., Wang, Y., Chakravarty, D., Schiffman, M., Kim, R., Campagne, F., Robinson, B. D., Nanus, D. M., Tagawa, S. T., Xiang, J. Z., Smogorzewska, A., Demichelis, F., Rickman, D. S., Sboner, A., Elemento, O., & Rubin, M. A.
Venue
JAMA Oncology
Published
2015-07-01
Volume
1
Issue
4
Pages
466
ISSN
2374-2437 (ISSN-L)
OpenAlex
W2123507520
Cited by
288
References
12
FWCI
12.27
Type
journal article
Language
en
Open access
bronze

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Beltran, H., Eng, K., Mosquera, J. M., Sigaras, A., Romanel, A., Rennert, H., Kossai, M., Pauli, C., Faltas, B., Fontugne, J., Park, K., Banfelder, J., Prandi, D., Madhukar, N., Zhang, T., Padilla, J., Greco, N., McNary, T. J., Herrscher, E., . . . Rubin, M. A. (2015). Whole-Exome Sequencing of Metastatic Cancer and Biomarkers of Treatment Response. JAMA Oncology. https://doi.org/10.1001/jamaoncol.2015.1313

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.