Literature DB >> 29039611

Altered expression of different GalNAc‑transferases is associated with disease progression and poor prognosis in women with high-grade serous ovarian cancer.

Razan Sheta1, Magdalena Bachvarova2, Marie Plante2, Jean Gregoire2, Marie-Claude Renaud2, Alexandra Sebastianelli2, Ion Popa3, Dimcho Bachvarov1.   

Abstract

Protein glycosylation perturbations are implicated in a variety of diseases, including cancer. Aberrant glycosylation in cancer is frequently attributed to altered expression of polypeptide GalNAc transferases (GalNAc‑Ts) - enzymes initiating mucin-type O-glycosylation. A previous study from our group demonstrated that one member of this family (GALNT3) is overexpressed in epithelial ovarian cancer (EOC), and GALNT3 expression correlated with shorter progression-free survival (PFS) in EOC patients with advanced disease. As considerable degree of redundancy between members of the GalNAc‑Ts gene family has been frequently observed, we decided to investigate whether other members of this family are essential in EOC progression. In silico analysis based on publically available data was indicative for altered expression of five GalNAc‑Ts (GALNT2, T4, T6, T9 and T14) in ovarian high-grade serous carcinoma (HGSC) samples compared to non-tumoral (control) ovarian tissue. We analyzed protein expression of these GalNAc‑Ts in EOC cells and tumors by western blotting, followed by immunohistochemical (IHC) evaluation of their expression in EOC tumor and control samples using tissue microarrays (TMAs). Western blot analyses were indicative for low expression of GALNT2 and strong expression of GALNT6, T9 and T14 in both EOC cells and tumors. These observations were confirmed by IHC. GALNT2 displayed significantly lower expression, while GALNT6, GALNT9 and GALNT14 showed significantly higher expression in HGSC tumors compared to control tissue. Importantly, GALNT6 and GALNT14 expression correlated with poor prognosis of serous EOC patients. Moreover, our results suggest for overlapping functions of some GalNAc‑Ts, more specifically GALNT3 and GALNT6, in directing EOC progression. Our results are indicative for a possible implication of different members of the GalNAc‑T gene family in modulating EOC progression, and the potential use of GALNT6 and GALNT14 as novel prognostic EOC biomarkers. These data warrant future studies on the role of members of the GalNAc‑Ts gene family in ovarian tumorigenesis.

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Year:  2017        PMID: 29039611     DOI: 10.3892/ijo.2017.4147

Source DB:  PubMed          Journal:  Int J Oncol        ISSN: 1019-6439            Impact factor:   5.650


  8 in total

1.  Mucin-Type O-GalNAc Glycosylation in Health and Disease.

Authors:  Ieva Bagdonaite; Emil M H Pallesen; Mathias I Nielsen; Eric P Bennett; Hans H Wandall
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 3.650

2.  Early-Stage Loss of GALNT6 Predicts Poor Clinical Outcome in Colorectal Cancer.

Authors:  Makiko Ogawa; Atsushi Tanaka; Kei Namba; Jinru Shia; Julia Y Wang; Michael H Roehrl
Journal:  Front Oncol       Date:  2022-05-27       Impact factor: 5.738

3.  EFEMP2 Mediates GALNT14-Dependent Breast Cancer Cell Invasion.

Authors:  Tao Zuo; Jinshuai Shan; Yang Liu; Rong Xie; Xiaochun Yu; Chen Wu
Journal:  Transl Oncol       Date:  2018-02-08       Impact factor: 4.243

4.  The polypeptide GALNT6 Displays Redundant Functions upon Suppression of its Closest Homolog GALNT3 in Mediating Aberrant O-Glycosylation, Associated with Ovarian Cancer Progression.

Authors:  Razan Sheta; Magdalena Bachvarova; Elizabeth Macdonald; Stephane Gobeil; Barbara Vanderhyden; Dimcho Bachvarov
Journal:  Int J Mol Sci       Date:  2019-05-08       Impact factor: 5.923

Review 5.  GALNT14: An Emerging Marker Capable of Predicting Therapeutic Outcomes in Multiple Cancers.

Authors:  Wey-Ran Lin; Chau-Ting Yeh
Journal:  Int J Mol Sci       Date:  2020-02-21       Impact factor: 5.923

6.  Genome-wide methylomic analyses identify prognostic epigenetic signature in lower grade glioma.

Authors:  Wenna Guo; Shanshan Ma; Yanting Zhang; Hongtao Liu; Ya Li; Ji-Tian Xu; Bo Yang; Fangxia Guan
Journal:  J Cell Mol Med       Date:  2021-12-11       Impact factor: 5.310

Review 7.  Research Progress in Prognostic Factors and Biomarkers of Ovarian Cancer.

Authors:  Shuna Liu; Ming Wu; Fang Wang
Journal:  J Cancer       Date:  2021-05-13       Impact factor: 4.207

8.  Development of a 3D functional assay and identification of biomarkers, predictive for response of high-grade serous ovarian cancer (HGSOC) patients to poly-ADP ribose polymerase inhibitors (PARPis): targeted therapy.

Authors:  Razan Sheta; Magdalena Bachvarova; Marie Plante; Marie-Claude Renaud; Alexandra Sebastianelli; Jean Gregoire; Jamilet Miranda Navarro; Ricardo Bringas Perez; Jean-Yves Masson; Dimcho Bachvarov
Journal:  J Transl Med       Date:  2020-11-19       Impact factor: 5.531

  8 in total

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