Literature DB >> 27335253

FIGO stage IV epithelial ovarian, fallopian tube and peritoneal cancer revisited.

Beyhan Ataseven1, Luis M Chiva2, Philipp Harter1, Antonio Gonzalez-Martin3, Andreas du Bois4.   

Abstract

Epithelial ovarian, fallopian tube and peritoneal cancer (EOC) is the seventh most common cancer diagnosis among women worldwide and shows the highest mortality rate of all gynecologic tumors. Different histological and anatomic spread patterns as well as multiple gene-expression based studies have demonstrated that EOC is indeed a heterogeneous disease. The prognostic factors that best predict the survival in this disease include: age, performance status and patient's comorbidities at the time of diagnosis; tumor biology, histological type, amount of residual tumor after surgery and finally tumor stage as surrogate for pre-operative tumor burden and growth pattern. In the majority of patients, the disease is diagnosed in advanced stage, disseminated intra- and/or extra-abdominally. It is unclear whether this is a consequence of distinct tumor biology, absence of anatomic barriers between ovary and the abdominal cavity, delay of diagnosis and/or the lack of sufficient early detection methods. FIGO stage IV disease, defined as tumor spread outside the abdominal cavity (including malignant pleural effusion) and/or visceral metastases, will be present in 12-33% of the patients at initial diagnosis. Overall, median survival for patients with stage IV disease ranges from 15 to 29months, with an estimated 5-year survival of approximately 20%. Unfortunately, over the past decades the overall survival gain compared to stage III remains disappointing. The current review aims to summarize the current data published in the international literature concerning FIGO stage IV EOC and discusses the published evidence for the clinical management of these patients.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diagnosis; FIGO stage IV; Ovarian cancer; Prognosis; Therapy

Mesh:

Year:  2016        PMID: 27335253     DOI: 10.1016/j.ygyno.2016.06.013

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  12 in total

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Journal:  Am J Cancer Res       Date:  2017-12-01       Impact factor: 6.166

2.  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

3.  Targeted attack: mechanisms by which ovarian cancers suppress the immune system.

Authors:  Irina V Tiper; Tonya J Webb
Journal:  Transl Cancer Res       Date:  2016-11       Impact factor: 1.241

Review 4.  Cellular Senescence in the Treatment of Ovarian Cancer.

Authors:  Zehua Wang; Haiou Liu; Congjian Xu
Journal:  Int J Gynecol Cancer       Date:  2018-06       Impact factor: 3.437

5.  Primary debulking surgery versus primary neoadjuvant chemotherapy for high grade advanced stage ovarian cancer: comparison of survivals.

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6.  Olaparib induced senescence under P16 or P53 dependent manner in ovarian cancer.

Authors:  Zehua Wang; Jianwen Gao; Jiabing Zhou; Haiou Liu; Congjian Xu
Journal:  J Gynecol Oncol       Date:  2018-11-22       Impact factor: 4.401

7.  Isolated distant lymph node metastases in ovarian cancer. Should a new substage be created?

Authors:  Dimitrios Nasioudis; Emily M Ko; Ashley F Haggerty; Robert L Giuntoli; Robert A Burger; Mark A Morgan; Nawar A Latif
Journal:  Gynecol Oncol Rep       Date:  2019-03-13

Review 8.  Malignant Pleural Effusion and Its Current Management: A Review.

Authors:  Kristijan Skok; Gaja Hladnik; Anja Grm; Anton Crnjac
Journal:  Medicina (Kaunas)       Date:  2019-08-15       Impact factor: 2.948

9.  Preoperative Prediction of Metastasis for Ovarian Cancer Based on Computed Tomography Radiomics Features and Clinical Factors.

Authors:  Yao Ai; Jindi Zhang; Juebin Jin; Ji Zhang; Haiyan Zhu; Xiance Jin
Journal:  Front Oncol       Date:  2021-06-10       Impact factor: 6.244

10.  The non-coding RNA OTUB1-isoform2 promotes ovarian tumour progression and predicts poor prognosis.

Authors:  Shunni Wang; Yan Ning; Ping Wei; Dongliag Cai; Linghui Lu; Jing Li; Yiqin Wang
Journal:  J Cell Mol Med       Date:  2018-07-25       Impact factor: 5.310

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