Literature DB >> 22473692

Ovarian cancer: insights into genetics and pathogeny.

L Liliac1, C Amalinei, R Balan, A Grigoras, I-D Caruntu.   

Abstract

Starting from the information on ovarian cancer provided by the mainstream publications, we construct a review focusing on the following issues: (i) the genetic profile, (ii) the role of the epithelial-mesenchymal transition in the acquirement of malignant features, (iii) the controversial hypothesis regarding the origin, and (iv) the involvement of the immune system in the tumoral microenvironment. Advances in the decipherment at the genetic level in the pathogenic mechanisms progressively lead to the idea of a genetic signature for the ovarian cancer. Moreover, the complementary approaches oriented towards the decryption of the intrinsic structure of the expressed molecules and, implicitly, the development of proteomics open new perspectives for an early diagnosis and an appropriate treatment. The research on the epithelial-mesenchymal transition (mainly those exploring the signaling pathways responsible for the switch between the loss of the epithelial characteristics and the gain of a mesenchymal cell phenotype, with results in the amplification of differentiation, motility and tumoral invasion) allow a deeper understanding of the complex pathogenic mechanism which governs ovarian carcinogenesis. The classic conception of ovarian cancer pathogeny, based on the role of the ovarian surface epithelium, is currently reconsidered, and a novel hypothesis is formulated, which supports direct involvement of the Fallopian tubes for the serous type. Although recent research suggests the implication of immune/inflammatory cells by specific mechanisms in ovarian cancer pathogenesis, there is yet reliable evidence concerning their modality of direct action and/or modulation of tumoral growth. Thus, ovarian carcinogenesis remains a research challenge, due to still numerous unknown factors involved in the malignant transformation sequences, originating from the genetic-molecular alterations and reflected by cellular and tissue expression patterns.

Entities:  

Mesh:

Year:  2012        PMID: 22473692     DOI: 10.14670/HH-27.707

Source DB:  PubMed          Journal:  Histol Histopathol        ISSN: 0213-3911            Impact factor:   2.303


  10 in total

1.  Association between glutathione S-transferase M 1 null genotype and risk of ovarian cancer: a meta-analysis.

Authors:  Yihua Yin; Lingda Feng; Jing Sun
Journal:  Tumour Biol       Date:  2013-07-25

2.  TC-1 (C8orf4) expression is correlated with differentiation in ovarian carcinomas and might distinguish metastatic ovarian from metastatic colorectal carcinomas.

Authors:  Hong-Tao Xu; Yang Liu; Shu-Li Liu; Yuan Miao; Qing-Chang Li; En-Hua Wang
Journal:  Virchows Arch       Date:  2013-02-02       Impact factor: 4.064

Review 3.  Hereditary ovarian cancer: not only BRCA 1 and 2 genes.

Authors:  Angela Toss; Chiara Tomasello; Elisabetta Razzaboni; Giannina Contu; Giovanni Grandi; Angelo Cagnacci; Russell J Schilder; Laura Cortesi
Journal:  Biomed Res Int       Date:  2015-05-17       Impact factor: 3.411

Review 4.  Angiogenesis-related pathways in the pathogenesis of ovarian cancer.

Authors:  Nikos G Gavalas; Michalis Liontos; Sofia-Paraskevi Trachana; Tina Bagratuni; Calliope Arapinis; Christine Liacos; Meletios A Dimopoulos; Aristotle Bamias
Journal:  Int J Mol Sci       Date:  2013-07-30       Impact factor: 5.923

5.  A high M1/M2 ratio of tumor-associated macrophages is associated with extended survival in ovarian cancer patients.

Authors:  Meiying Zhang; Yifeng He; Xiangjun Sun; Qing Li; Wenjing Wang; Aimin Zhao; Wen Di
Journal:  J Ovarian Res       Date:  2014-02-08       Impact factor: 4.234

6.  Age of ovarian cancer diagnosis among BRIP1, RAD51C, and RAD51D mutation carriers identified through multi-gene panel testing.

Authors:  Shelly Cummings; Susana San Roman; Jennifer Saam; Ryan Bernhisel; Krystal Brown; Johnathan M Lancaster; Lydia Usha
Journal:  J Ovarian Res       Date:  2021-04-29       Impact factor: 4.234

Review 7.  Ovarian cancer: can proteomics give new insights for therapy and diagnosis?

Authors:  Angela Toss; Elisabetta De Matteis; Elena Rossi; Lara Della Casa; Anna Iannone; Massimo Federico; Laura Cortesi
Journal:  Int J Mol Sci       Date:  2013-04-15       Impact factor: 5.923

8.  Evaluation of serum procathepsin B, cystatin B and cystatin C as possible biomarkers of ovarian cancer.

Authors:  Elena A Gashenko; Valentina A Lebedeva; Ivan V Brak; Elena A Tsykalenko; Galina V Vinokurova; Tatyana A Korolenko
Journal:  Int J Circumpolar Health       Date:  2013-08-05       Impact factor: 1.228

9.  Primary ovarian cancer cell inhibition by human Wharton's Jelly stem cells (hWJSCs): Mapping probable mechanisms and targets using systems oncology.

Authors:  Gauthaman Kalamegam; Peter Natesan Pushparaj; Fazal Khan; Khalid Hussein Wali Sait; Nisreen Anfinan; Mohammed Al-Qahtani
Journal:  Bioinformation       Date:  2015-12-31

10.  Bayesian graphical models for computational network biology.

Authors:  Yang Ni; Peter Müller; Lin Wei; Yuan Ji
Journal:  BMC Bioinformatics       Date:  2018-03-21       Impact factor: 3.169

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.