Literature DB >> 22047635

Prognostic evaluation of tumour type and other histopathological characteristics in advanced epithelial ovarian cancer, treated with surgery and paclitaxel/carboplatin chemotherapy: cell type is the most useful prognostic factor.

A Bamias1, M Sotiropoulou, F Zagouri, P Trachana, K Sakellariou, E Kostouros, K Kakoyianni, A Rodolakis, G Vlahos, D Haidopoulos, N Thomakos, A Antsaklis, M A Dimopoulos.   

Abstract

AIM: Ovarian carcinomas have been classified into types I and II according to the hypothesised mode of carcinogenesis and molecular characteristics. The prognostic significance of this classification has not been studied. PATIENTS AND METHODS: Five hundred and sixty-eight patients with histologically confirmed, ovarian, fallopian tube or peritoneal carcinomas, international federation of gynecology and obstetrics (FIGO) stages IIC-IV, treated with paclitaxel/platinum following cytoreductive surgery, were included in this analysis. Type I included low-grade serous, mucinous, endometrioid and clear-cell and type II high-grade serous, unspecified adenocarcinomas and undifferentiated carcinomas.
RESULTS: Median overall survival (OS) was 49 months for type I versus 45 for type II (p=0.576). In contrast to type II, there was considerable prognostic heterogeneity among the subtypes included in type I. Cox regression analysis showed that cell-type classification: low-grade serous, mucinous, endometrioid, clear-cell, type II (high-grade serous, unspecified adenocarcinomas, undifferentiated carcinoma) was an independent predictor of survival (respective median OS 121 versus 15 versus 64 versus 29 versus 45 months, p=0.003). On the contrary, histopathological subtype or tumour type (I versus II) did not offer additional prognostic information.
CONCLUSION: The proposed model of ovarian tumourigenesis does not reflect tumour behaviour in advanced disease. Tumour-cell type is the most relevant histopathological prognostic factor in advanced ovarian cancer treated with platinum/paclitaxel.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22047635     DOI: 10.1016/j.ejca.2011.09.023

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  12 in total

1.  Cancer of the ovary, fallopian tube, and peritoneum: a population-based comparison of the prognostic factors and outcomes.

Authors:  Miriam Rottmann; A Burges; S Mahner; C Anthuber; T Beck; D Grab; A Schnelzer; M Kiechle; D Mayr; M Pölcher; G Schubert-Fritschle; J Engel
Journal:  J Cancer Res Clin Oncol       Date:  2017-04-26       Impact factor: 4.553

2.  A Nomogram Based on SEER Database for Predicting Prognosis in Patients with Mucinous Ovarian Cancer: A Real-World Study.

Authors:  Ke Zhang; Songwei Feng; Yu Ge; Bo Ding; Yang Shen
Journal:  Int J Womens Health       Date:  2022-07-26

3.  Analysis of Morbidity, Mortality and Survival Pattern Following Surgery for Borderline Ovarian and Malignant Ovarian Tumour in Tertiary Care Centre.

Authors:  Shanmugasundaram Gouthaman; Snehalatha Kothari; Jaya Vijayaraghavan; Ravi Shankar Pitani
Journal:  J Obstet Gynaecol India       Date:  2021-02-19

Review 4.  Ovarian cancer recurrence: is the definition of platinum resistance modified by PARPi and other intervening treatments? The evolving landscape in the management of platinum-resistant ovarian cancer.

Authors:  Michael J Flynn; Jonathan A Ledermann
Journal:  Cancer Drug Resist       Date:  2022-05-12

5.  HLA-G expression is an independent predictor for improved survival in high grade ovarian carcinomas.

Authors:  M J Rutten; F Dijk; C D Savci-Heijink; M R Buist; G G Kenter; M J van de Vijver; E S Jordanova
Journal:  J Immunol Res       Date:  2014-05-27       Impact factor: 4.818

6.  Risk of Ovarian Cancer Relapse score: a prognostic algorithm to predict relapse following treatment for advanced ovarian cancer.

Authors:  Ivana Rizzuto; Chara Stavraka; Jayanta Chatterjee; Jane Borley; Thomas Glass Hopkins; Hani Gabra; Sadaf Ghaem-Maghami; Les Huson; Sarah P Blagden
Journal:  Int J Gynecol Cancer       Date:  2015-03       Impact factor: 3.437

7.  The value of DCE-MRI in assessing histopathological and molecular biological features in induced rat epithelial ovarian carcinomas.

Authors:  Su Juan Yuan; Tian Kui Qiao; Jin Wei Qiang; Song Qi Cai; Ruo Kun Li
Journal:  J Ovarian Res       Date:  2017-09-26       Impact factor: 4.234

8.  Prognostic Factors of Early Stage Epithelial Ovarian Carcinoma.

Authors:  Shu-Feng Hsieh; Hei-Yu Lau; Hua-Hsi Wu; Heng-Cheng Hsu; Nae-Fang Twu; Wen-Fang Cheng
Journal:  Int J Environ Res Public Health       Date:  2019-02-21       Impact factor: 3.390

Review 9.  New hypothesis on pathogenesis of ovarian cancer lead to future tailored approaches.

Authors:  P Rescigno; I Cerillo; R Ruocco; C Condello; S De Placido; M Pensabene
Journal:  Biomed Res Int       Date:  2013-08-25       Impact factor: 3.411

Review 10.  Recent Advancements in Prognostic Factors of Epithelial Ovarian Carcinoma.

Authors:  Mohammad Ezzati; Amer Abdullah; Ahmad Shariftabrizi; June Hou; Michael Kopf; Jennifer K Stedman; Robert Samuelson; Shohreh Shahabi
Journal:  Int Sch Res Notices       Date:  2014-10-29
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