Defining, Identifying, and Understanding "Exceptional Responders" in Oncology Using the Tools of Precision Medicine.


Journal

Cancer journal (Sudbury, Mass.)
ISSN: 1540-336X
Titre abrégé: Cancer J
Pays: United States
ID NLM: 100931981

Informations de publication

Date de publication:
Historique:
entrez: 24 7 2019
pubmed: 25 7 2019
medline: 28 7 2020
Statut: ppublish

Résumé

Widely available molecular profiling technology, including next-generation sequencing has changed the landscape of drug development in cancer. An increasing number of clinical trials in early drug development require patient selection based on molecular alterations. Concurrently, efforts to identify molecular alterations in tumors that exhibited exceptional response after systemic treatment with standard or investigational agents have been published or are in progress. These discoveries may ultimately serve as predictive markers or "actionable mutations" for future therapies. To test the feasibility of collecting the archival tissues from proposed exceptional responder patients and successful subsequent molecular profiling, the National Cancer Institute opened a nationwide exceptional responder initiative protocol in 2014. In addition, an increasing number of exceptional responder cases have been identified and published from academia institutions. The Network of Enigmatic Exceptional Responders study uses crowdsourcing to identify exceptional responders and will molecularly profile tumors to discern molecular correlates with exceptional response. In this review, we discuss the potential role of exceptional responder molecular analysis in new biomarker discovery efforts to further advance precision medicine in oncology therapeutics.

Identifiants

pubmed: 31335394
doi: 10.1097/PPO.0000000000000392
pii: 00130404-201907000-00011
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

296-299

Auteurs

Apostolia M Tsimberidou (AM)

From the Division of Cancer Medicine, Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX.

Rabih Said (R)

Division of Oncology, Department of Internal Medicine, St George Hospital University Medical Center, University of Balamand, Beirut, Lebanon.

Louis M Staudt (LM)

Lymphoid Malignancies Branch, Center for Cancer Genomics, Center for Cancer Research.

Barbara A Conley (BA)

Division of Cancer Treatment and Diagnosis.

Naoko Takebe (N)

Early Clinical Trials Development Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, MD.

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Classifications MeSH