The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
HER2 Testing and Clinical Decision Making in Gastroesophageal Adenocarcinoma: Guideline From the College of American Pathologists, American Society for Clinical Pathology, and the American Society of Clinical Oncology
Abstract
Context: ERBB2 (erb-b2 receptor tyrosine kinase 2 or HER2) is currently the only biomarker established for selection of a specific therapy for patients with advanced gastroesophageal adenocarcinoma (GEA). However, there are no comprehensive guidelines for the assessment of HER2 in patients with GEA. Objectives: To establish an evidence-based guideline for HER2 testing in patients with GEA, formalize the algorithms for methods to improve the accuracy of HER2 testing while addressing which patients and tumor specimens are appropriate, and to provide guidance on clinical decision making. Design: The College of American Pathologists (CAP), American Society for Clinical Pathology (ASCP), and the American Society of Clinical Oncology (ASCO) convened an Expert Panel to conduct a systematic review of the literature to develop an evidence-based guideline with recommendations for optimal HER2 testing in patients with GEA. Results: The Panel is proposing 11 recommendations with strong agreement from the open comment participants. Recommendations: The Panel recommends that tumor specimen(s) from all patients with advanced GEA, who are candidates for HER2-targeted therapy, should be assessed for HER2 status before the initiation of HER2-targeted therapy. Clinicians should offer combination chemotherapy and an HER2-targeted agent as initial therapy for all patients with HER2-positive advanced GEA. For pathologists, guidance is provided for morphologic selection of neoplastic tissue, testing algorithms, scoring methods, interpretation and reporting of results, and laboratory quality assurance. Conclusion: This guideline provides specific recommendations for assessment of HER2 in patients with advanced GEA while addressing pertinent technical issues and clinical implications of the results.
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Cites
GRADE: an emerging consensus on rating quality of evidence and strength of recommendations
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Cited by
Smyth, E. C., Nilsson, M., Grabsch, H. I., van Grieken, N. C., & Lordick, F. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31288-5 · Cited by 4,803
Trastuzumab deruxtecan in previously treated HER2-positive gastric cancer
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Self-citationMeric-Bernstam, F., Hurwitz, H., Raghav, K. P. S., McWilliams, R. R., Fakih, M., VanderWalde, A., Swanton, C., Kurzrock, R., Burris, H., Sweeney, C., et al. (2019) · The Lancet Oncology · doi:10.1016/s1470-2045(18)30904-5 · Cited by 573
Genomic Heterogeneity as a Barrier to Precision Medicine in Gastroesophageal Adenocarcinoma
Pectasides, E., Stachler, M. D., Derks, S., Liu, Y., Maron, S., Islam, M., Alpert, L., Kwak, H., Kindler, H., Polite, B., et al. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-0395 · Cited by 307
Metadata
- Authors
- Bartley, A. N., Washington, M. K., Colasacco, C., Ventura, C. B., Ismaila, N., Benson, A. B., Carrato, A., Gulley, M. L., Jain, D., Kakar, S., Mackay, H. J., Streutker, C., Tang, L., Troxell, M., & Ajani, J. A.
- Venue
- Journal of Clinical Oncology
- Published
- 2017-02-01
- Volume
- 35
- Issue
- 4
- Pages
- 446-464
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2556376431
- Cited by
- 458
- References
- 71
- FWCI
- 13.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bartley, A. N., Washington, M. K., Colasacco, C., Ventura, C. B., Ismaila, N., Benson, A. B., Carrato, A., Gulley, M. L., Jain, D., Kakar, S., Mackay, H. J., Streutker, C., Tang, L., Troxell, M., & Ajani, J. A. (2017). HER2 Testing and Clinical Decision Making in Gastroesophageal Adenocarcinoma: Guideline From the College of American Pathologists, American Society for Clinical Pathology, and the American Society of Clinical Oncology. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2016.69.4836
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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