Literature DB >> 21571648

Histologic, molecular, and cytogenetic features of ovarian cancers: implications for diagnosis and treatment.

Neeraj Lalwani1, Srinivasa R Prasad, Raghunandan Vikram, Alampady K Shanbhogue, Phyllis C Huettner, Najla Fasih.   

Abstract

Ovarian epithelial carcinoma (OEC), the most common ovarian malignancy, is a heterogeneous disease with several histologic subtypes that show characteristic cytogenetic features, molecular signatures, oncologic signaling pathways, and clinical-biologic behavior. Recent advances in histopathology and cytogenetics have provided insights into pathophysiologic features and natural history of OECs. Several studies have shown that high- or low-grade serous, endometrioid, and clear cell carcinomas are characterized by mutations involving the TP53, K-ras/BRAF, CTNNB1, and PIK3CA genes, respectively. High-grade serous carcinomas, the most common subtype, often manifest with early transcoelomic spread of disease beyond the ovaries, whereas low-grade serous and mucinous carcinomas commonly manifest with early-stage disease, with a resultant excellent prognosis. On the basis of pathogenetic mechanisms, recent findings suggest a dualistic model of ovarian carcinogenesis consisting of types I and II. Type I (low-grade serous, mucinous, and endometrioid) cancers commonly arise from well-described, genetically stable precursor lesions (usually borderline tumors); manifest as large adnexal masses with early-stage disease; and have a relatively indolent clinical course, with an overall good prognosis. In contrast, type II carcinomas (high-grade serous, endometrioid, mixed, and undifferentiated variants) originate de novo from the adnexal epithelia, often demonstrate chromosomal instability, and have aggressive biologic behavior. Better knowledge of hereditary ovarian cancer syndromes and associated cytogenetic abnormalities has led to increased interest in novel biomarkers and molecular therapeutics. Genetic changes, pathologic features, imaging findings, and natural histories of a variety of histologic subtypes of OEC are discussed in this article.
Copyright © RSNA, 2011.

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Year:  2011        PMID: 21571648     DOI: 10.1148/rg.313105066

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  53 in total

1.  Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study.

Authors:  He Zhang; Yunfei Mao; Xiaojun Chen; Guoqing Wu; Xuefen Liu; Peng Zhang; Yu Bai; Pengcong Lu; Weigen Yao; Yuanyuan Wang; Jinhua Yu; Guofu Zhang
Journal:  Eur Radiol       Date:  2019-04-08       Impact factor: 5.315

2.  Mucinous adenocarcinoma developed from human fallopian tube epithelial cells through defined genetic modifications.

Authors:  Weiwei Shan; Imelda Mercado-Uribe; Jing Zhang; Daniel Rosen; Shiwu Zhang; Jianjun Wei; Jinsong Liu
Journal:  Cell Cycle       Date:  2012-06-01       Impact factor: 4.534

3.  Hyperthermic intraperitoneal chemoperfusion as a component of multimodality therapy for ovarian and primary peritoneal cancer.

Authors:  Deepa Magge; Lekshmi Ramalingam; Yongli Shuai; Robert P Edwards; James F Pingpank; Steven S Ahrendt; Matthew P Holtzman; Herbert J Zeh; David L Bartlett; Haroon A Choudry
Journal:  J Surg Oncol       Date:  2017-06-19       Impact factor: 3.454

Review 4.  'BRCAness' and its implications for platinum action in gynecologic cancer.

Authors:  Franco Muggia; Tamar Safra
Journal:  Anticancer Res       Date:  2014-02       Impact factor: 2.480

Review 5.  Chemoresistance and targeting of growth factors/cytokines signalling pathways: towards the development of effective therapeutic strategy for endometrial cancer.

Authors:  Fengjun Guo; Haina Zhang; Zanhui Jia; Manhua Cui; Jingyan Tian
Journal:  Am J Cancer Res       Date:  2018-07-01       Impact factor: 6.166

6.  Significance of MNK1 in prognostic prediction and chemotherapy development of epithelial ovarian cancer.

Authors:  S Hou; P Du; P Wang; C Wang; P Liu; H Liu
Journal:  Clin Transl Oncol       Date:  2017-03-22       Impact factor: 3.405

7.  REDD1 and p-AKT over-expression may predict poor prognosis in ovarian cancer.

Authors:  Wei Jia; Bin Chang; Lili Sun; Huimin Zhu; Lijuan Pang; Lin Tao; Hong Zou; Jinze Du; Yuling Dong; Yan Qi; Jinfang Jiang; Weihua Liang; Feng Li; Xia Zhao
Journal:  Int J Clin Exp Pathol       Date:  2014-08-15

8.  Novel biomarker candidates for the diagnosis of ovarian clear cell carcinoma.

Authors:  Hiroshi Kobayashi; Hitomi Sugimoto; Shunsuke Onishi; Kazutoshi Nakano
Journal:  Oncol Lett       Date:  2015-06-11       Impact factor: 2.967

9.  Long noncoding RNA lncBRM facilitates the proliferation, migration and invasion of ovarian cancer cells via upregulation of Sox4.

Authors:  Jie Xi; Jing Feng; Saitian Zeng
Journal:  Am J Cancer Res       Date:  2017-11-01       Impact factor: 6.166

10.  Poly(ethylene glycol)-block-poly(ε-caprolactone) micelles for combination drug delivery: evaluation of paclitaxel, cyclopamine and gossypol in intraperitoneal xenograft models of ovarian cancer.

Authors:  Hyunah Cho; Tsz Chung Lai; Glen S Kwon
Journal:  J Control Release       Date:  2012-12-13       Impact factor: 9.776

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