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Cited by 1,082

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Genomic Characterization of Brain Metastases Reveals Branched Evolution and Potential Therapeutic Targets

Open access
Brastianos, Priscilla K., Carter, Scott L., Santagata, Sandro, Cahill, Daniel P., Taylor-Weiner, Amaro, Jones, Robert T., Van Allen, Eliezer M., Lawrence, Michael S., Horowitz, Peleg M., Cibulskis, Kristian, Ligon, Keith L., Tabernero, Josep, Seoane, Joan, Martinez-Saez, Elena, Curry, William T., Dunn, Ian F., Paek, Sun Ha, Park, Sung-Hye, McKenna, Aaron, Chevalier, Aaron, Rosenberg, Mara, Barker, Frederick G., Gill, Corey M., Van Hummelen, Paul, Thorner, Aaron R., Johnson, Bruce E., Hoang, Mai P., Choueiri, Toni K., Signoretti, Sabina, Sougnez, Carrie, Rabin, Michael S., Lin, Nancy U., Winer, Eric P., Stemmer-Rachamimov, Anat, Meyerson, Matthew, Garraway, Levi, Gabriel, Stacey, Lander, Eric S., Beroukhim, Rameen, Batchelor, Tracy T., Baselga, José, Louis, David N., Getz, Gad, Hahn, William C.·2015·Cancer Discovery

Abstract

Brain metastases are associated with a dismal prognosis. Whether brain metastases harbor distinct genetic alterations beyond those observed in primary tumors is unknown. We performed whole-exome sequencing of 86 matched brain metastases, primary tumors, and normal tissue. In all clonally related cancer samples, we observed branched evolution, where all metastatic and primary sites shared a common ancestor yet continued to evolve independently. In 53% of cases, we found potentially clinically informative alterations in the brain metastases not detected in the matched primary-tumor sample. In contrast, spatially and temporally separated brain metastasis sites were genetically homogenous. Distal extracranial and regional lymph node metastases were highly divergent from brain metastases. We detected alterations associated with sensitivity to PI3K/AKT/mTOR, CDK, and HER2/EGFR inhibitors in the brain metastases. Genomic analysis of brain metastases provides an opportunity to identify potentially clinically informative alterations not detected in clinically sampled primary tumors, regional lymph nodes, or extracranial metastases. Significance: Decisions for individualized therapies in patients with brain metastasis are often made from primary-tumor biopsies. We demonstrate that clinically actionable alterations present in brain metastases are frequently not detected in primary biopsies, suggesting that sequencing of primary biopsies alone may miss a substantial number of opportunities for targeted therapy. Cancer Discov; 5(11); 1164–77. ©2015 AACR. See related commentary by Stricker and Arteaga, p. 1124. This article is highlighted in the In This Issue feature, p. 1111

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Metadata

Authors
Brastianos, P. K., Carter, S. L., Santagata, S., Cahill, D. P., Taylor-Weiner, A., Jones, R. T., Van Allen, E. M., Lawrence, M. S., Horowitz, P. M., Cibulskis, K., Ligon, K. L., Tabernero, J., Seoane, J., Martinez-Saez, E., Curry, W. T., Dunn, I. F., Paek, S. H., Park, S.-H., McKenna, A., Chevalier, A., Rosenberg, M., Barker, F. G., Gill, C. M., Van Hummelen, P., Thorner, A. R., Johnson, B. E., Hoang, M. P., Choueiri, T. K., Signoretti, S., Sougnez, C., Rabin, M. S., Lin, N. U., Winer, E. P., Stemmer-Rachamimov, A., Meyerson, M., Garraway, L., Gabriel, S., Lander, E. S., Beroukhim, R., Batchelor, T. T., Baselga, J., Louis, D. N., Getz, G., & Hahn, W. C.
Venue
Cancer Discovery
Published
2015-11-01
Volume
5
Issue
11
Pages
1164-1177
ISSN
  • 2159-8274 (ISSN-L)
  • 2159-8290
OpenAlex
W2175940415
Cited by
1,082
References
48
FWCI
60.65
Type
journal article
Language
en
Open access
green

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Brastianos, P. K., Carter, S. L., Santagata, S., Cahill, D. P., Taylor-Weiner, A., Jones, R. T., Van Allen, E. M., Lawrence, M. S., Horowitz, P. M., Cibulskis, K., Ligon, K. L., Tabernero, J., Seoane, J., Martinez-Saez, E., Curry, W. T., Dunn, I. F., Paek, S. H., Park, S.-H., McKenna, A., . . . Hahn, W. C. (2015). Genomic Characterization of Brain Metastases Reveals Branched Evolution and Potential Therapeutic Targets. Cancer Discovery. https://doi.org/10.1158/2159-8290.cd-15-0369

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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.