The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Genetic Predictors of Response to Systemic Therapy in Esophagogastric Cancer
Open accessAbstract
The incidence of esophagogastric cancer is rapidly rising, but only a minority of patients derive durable benefit from current therapies. Chemotherapy as well as anti-HER2 and PD-1 antibodies are standard treatments. To identify predictive biomarkers of drug sensitivity and mechanisms of resistance, we implemented prospective tumor sequencing of patients with metastatic esophagogastric cancer. There was no association between homologous recombination deficiency defects and response to platinum-based chemotherapy. Patients with microsatellite instability–high tumors were intrinsically resistant to chemotherapy but more likely to achieve durable responses to immunotherapy. The single Epstein–Barr virus–positive patient achieved a durable, complete response to immunotherapy. The level of ERBB2 amplification as determined by sequencing was predictive of trastuzumab benefit. Selection for a tumor subclone lacking ERBB2 amplification, deletion of ERBB2 exon 16, and comutations in the receptor tyrosine kinase, RAS, and PI3K pathways were associated with intrinsic and/or acquired trastuzumab resistance. Prospective genomic profiling can identify patients most likely to derive durable benefit to immunotherapy and trastuzumab and guide strategies to overcome drug resistance. Significance: Clinical application of multiplex sequencing can identify biomarkers of treatment response to contemporary systemic therapies in metastatic esophagogastric cancer. This large prospective analysis sheds light on the biological complexity and the dynamic nature of therapeutic resistance in metastatic esophagogastric cancers. Cancer Discov; 8(1); 49–58. ©2017 AACR. See related commentary by Sundar and Tan, p. 14. See related article by Pectasides et al., p. 37. This article is highlighted in the In This Issue feature, p. 1
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Self-citationIntegrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal
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Self-citationMutations Associated with Acquired Resistance to PD-1 Blockade in Melanoma
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Self-citationNiraparib Maintenance Therapy in Platinum-Sensitive, Recurrent Ovarian Cancer
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Cited by
Tumor mutational load predicts survival after immunotherapy across multiple cancer types
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Self-citationTrastuzumab deruxtecan in previously treated HER2-positive gastric cancer
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Metadata
- Authors
- Janjigian, Y. Y., Sanchez-Vega, F., Jonsson, P., Chatila, W. K., Hechtman, J. F., Ku, G. Y., Riches, J. C., Tuvy, Y., Kundra, R., Bouvier, N., Vakiani, E., Gao, J., Heins, Z. J., Gross, B. E., Kelsen, D. P., Zhang, L., Strong, V. E., Schattner, M., Gerdes, H., Coit, D. G., Bains, M., Stadler, Z. K., Rusch, V. W., Jones, D. R., Molena, D., Shia, J., Robson, M. E., Capanu, M., Middha, S., Zehir, A., Hyman, D. M., Scaltriti, M., Ladanyi, M., Rosen, N., Ilson, D. H., Berger, M. F., Tang, L., Taylor, B. S., Solit, D. B., & Schultz, N.
- Venue
- Cancer Discovery
- Published
- 2018-01-01
- Volume
- 8
- Issue
- 1
- Pages
- 49-58
- ISSN
- 2159-8274 (ISSN-L)
- 2159-8290
- OpenAlex
- W2767612092
- Cited by
- 375
- References
- 34
- FWCI
- 23.08
- Type
- journal article
- Language
- en
- Open access
- green
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- Janjigian, Y. Y., Sanchez-Vega, F., Jonsson, P., Chatila, W. K., Hechtman, J. F., Ku, G. Y., Riches, J. C., Tuvy, Y., Kundra, R., Bouvier, N., Vakiani, E., Gao, J., Heins, Z. J., Gross, B. E., Kelsen, D. P., Zhang, L., Strong, V. E., Schattner, M., Gerdes, H., . . . Schultz, N. (2018). Genetic Predictors of Response to Systemic Therapy in Esophagogastric Cancer. Cancer Discovery. https://doi.org/10.1158/2159-8290.cd-17-0787
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