2013
DOI: 10.1016/j.prp.2013.03.009
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Early stage epithelial ovarian cancers: A study of morphologic prognostic factors

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Cited by 3 publications
(2 citation statements)
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“…But it was lower than other previous reports (11.2-29%) [13,14,25,26,27]. This variability may be the result of an under detection or missing reports of endometriosis in some centers, but a recent systematic review by Heidemann et al [28] shows that some studies include all types of EOCs and others only determined subtypes as endometrioid, clear cell, I-stage cases [29] (52.6%), or early stages [30] (23.7%). In fact, the association of endometriosis with EOC is more frequently found in early stages and in determined histological types, mainly endometrioid and clear cell carcinomas, although there is also a difference in results on the latter.…”
Section: Discussionmentioning
confidence: 99%
“…But it was lower than other previous reports (11.2-29%) [13,14,25,26,27]. This variability may be the result of an under detection or missing reports of endometriosis in some centers, but a recent systematic review by Heidemann et al [28] shows that some studies include all types of EOCs and others only determined subtypes as endometrioid, clear cell, I-stage cases [29] (52.6%), or early stages [30] (23.7%). In fact, the association of endometriosis with EOC is more frequently found in early stages and in determined histological types, mainly endometrioid and clear cell carcinomas, although there is also a difference in results on the latter.…”
Section: Discussionmentioning
confidence: 99%
“…Although progress has been made in diagnostics and treatments of ovarian cancer, the prognosis of ovarian cancer patients is far from optimistic [ 2 , 3 ]. The International Federation of Gynecology and Obstetrics (FIGO) stage, histotype and grade of differentiation are recognized as classical prognostic factors, but they cannot accurately predict the prognosis of ovarian cancer [ 4 , 5 ]. However, studies have proved that many biomarkers are involved in the progression of ovarian cancer [ 6 ], identification and validation of prognostic factors can complement well-established clinical histopathology analysis with the aim of improving future treatments [ 7 ].…”
Section: Introductionmentioning
confidence: 99%