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Evaluating digestive neuroendocrine tumor progression and therapeutic responses in the era of targeted therapies: state of the art
Endocr Relat Cancer
1479-6821 (Electronic)1351-0088 (Linking)
de Mestier, LouisDromain, Clarissed'Assignies, GaspardScoazec, Jean-YvesLassau, NathalieLebtahi, RachidaBrixi, HediaMitry, EmmanuelGuimbaud, RosineCourbon, Fredericd'Herbomez, MicheleCadiot, GuillaumeengResearch Support, Non-U.S. Gov'tReviewEngland2013/12/20 06:00Endocr Relat Cancer. 2014 Apr 28;21(3):R105-20. doi: 10.1530/ERC-13-0365. Print 2014 Jun.
Well-differentiated neuroendocrine tumors (NETs) are a group of heterogeneous rare tumors. They are often slow-growing and patients can have very long survival, even at the metastatic stage. The evaluation of tumor progression and therapeutic responses is currently based on Response Evaluation Criteria In Solid Tumors v1.1 (RECIST) criteria. As for other malignancies, RECIST criteria are being reexamined for NETs in the era of targeted therapies because tumor response to targeted therapies is rarely associated with shrinkage, as opposed to prolonged progression-free survival. Therefore, size-based criteria no longer seem to be suitable to the assessment of NET progression and therapeutic responses, especially considering targeted therapies. New imaging criteria, combining morphological and functional techniques, have proven relevant for other malignancies treated with targeted therapies. To date, such studies have rarely been conducted on NETs. Moreover, optimizing the management of NET patients also requires considering clinical, biological, and pathological aspects of tumor evolution. Our objectives herein were to comprehensively review current knowledge on the assessment of tumor progression and early prediction of therapeutic responses and to broaden the outlook on well-differentiated NETs, in the era of targeted therapies.
Animals, Disease Progression, Gastrointestinal Neoplasms/pathology/*therapy, Humans, *Molecular Targeted Therapy, Neuroendocrine Tumors/pathology/*therapy
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