2015
DOI: 10.1016/j.ctrv.2014.12.003
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Low Grade Serous Ovarian Carcinoma: From the molecular characterization to the best therapeutic strategy

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Cited by 80 publications
(48 citation statements)
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“…Recent studies support a fallopian tube origin for high grade serous cancers, especially in women who carry a hereditary mutation in BRCA genes(3). Low grade serous cancers may arise in stepwise fashion from fallopian tube fimbriae or ovarian surface epithelium(4). Endometrioid cancers may arise from endometrial surface epithelium shed in retrograde fashion onto the ovaries and peritoneal tissue(5).…”
Section: Introductionmentioning
confidence: 99%
“…Recent studies support a fallopian tube origin for high grade serous cancers, especially in women who carry a hereditary mutation in BRCA genes(3). Low grade serous cancers may arise in stepwise fashion from fallopian tube fimbriae or ovarian surface epithelium(4). Endometrioid cancers may arise from endometrial surface epithelium shed in retrograde fashion onto the ovaries and peritoneal tissue(5).…”
Section: Introductionmentioning
confidence: 99%
“…Each epithelial ovarian cancer histologic subtype exhibits a distinct etiologic and molecular pathogenesis and sensitivity to treatment (e.g., chemotherapeutic agents) (Anglesio et al 2013; Della Pepa et al 2015; Risch et al 1996; Shih Ie and Kurman 2004; Soslow 2008). It has been suggested that serous carcinomas arise from the epithelial mucosal lining of the fallopian tube fimbriae or from endosalpingiotic deposits on the ovarian or peritoneal surfaces.…”
Section: Introductionmentioning
confidence: 99%
“…The high-grade OSC originates de novo from intraepithelial carcinoma in ovarian surface inclusion cysts or from fallopian tube epithelium. In support of a dualistic pathway are molecular genetic differences between low-grade and high-grade OSC with frequent mutations of KRAS and BRAF and infrequent p53 mutations in low-grade OSC, the converse being the rule in high-grade OSC 3 7. The two-tier system was initially proposed based on morphological and molecular genetic features and was subsequently shown in a multivariate analysis to be useful in predicting outcome.…”
Section: Introductionmentioning
confidence: 99%