Literature DB >> 26781874

Elevated growth differentiation factor 15 expression predicts poor prognosis in epithelial ovarian cancer patients.

Ying Zhang1,2, Wei Hua3, Li-Chun Niu2, Shi-Mei Li2, Ying-Mei Wang3, Lei Shang4, Cun Zhang1, Wei-Na Li1, Rui Wang4, Bi-Liang Chen5, Xiao-Yan Xin5, Ying-Qi Zhang6, Jian Wang7.   

Abstract

The purpose of this study was to determine the expression of growth differentiation factor 15 (GDF15) and explore its clinical significance in epithelial ovarian cancer (EOC) patients. The expression of GDF15 in EOC tissues and serum samples was evaluated using immunohistochemistry and enzyme-linked immunosorbent assay (ELISA), respectively. The association of GDF15 expression with clinicopathologic parameters was analyzed. Survival time was assessed using the Kaplan-Meier technique and Cox regression model. Both in EOC tissues and serum, high GDF15 levels were obviously related with advanced International Federation of Gynecology and Obstetrics (FIGO) stage, lymph node metastasis, ascites, and chemoresistance. Kaplan-Meier analysis indicated that EOC patients with high GDF15 expression showed poorer progression-free survival (PFS) and overall survival (OS). Multivariate analysis demonstrated that GDF15 expression was an independent predictor of PFS in EOC patients. Our study shows that elevated GDF15 expression was associated with poor prognosis in EOC patients. We suggest that GDF15 is a novel biomarker for the early detection of EOC, prediction of the response to chemotherapy, and screening for recurrence in EOC patients.

Entities:  

Keywords:  Biomarker; Chemotherapy; Epithelial ovarian cancer; Growth differentiation factor 15; Prognosis

Mesh:

Substances:

Year:  2016        PMID: 26781874     DOI: 10.1007/s13277-015-4699-x

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  37 in total

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Journal:  Methods Mol Biol       Date:  2010

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Journal:  Growth Factors       Date:  2011-08-11       Impact factor: 2.511

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Authors:  Raaj S Mehta; Mingyang Song; Navya Bezawada; Kana Wu; Xabier Garcia-Albeniz; Teppei Morikawa; Charles S Fuchs; Shuji Ogino; Edward L Giovannucci; Andrew T Chan
Journal:  J Natl Cancer Inst       Date:  2014-02-24       Impact factor: 13.506

Review 4.  Epigenetic biomarkers in epithelial ovarian cancer.

Authors:  Brian S Gloss; Goli Samimi
Journal:  Cancer Lett       Date:  2012-01-12       Impact factor: 8.679

5.  Growth differentiation factor-15 as a prognostic biomarker in ovarian cancer.

Authors:  Anne Cathrine Staff; Annika J Bock; Caroline Becker; Tibor Kempf; Kai C Wollert; Ben Davidson
Journal:  Gynecol Oncol       Date:  2010-06-23       Impact factor: 5.482

6.  Secreted and cell surface genes expressed in benign and malignant colorectal tumors.

Authors:  P Buckhaults; C Rago; B St Croix; K E Romans; S Saha; L Zhang; B Vogelstein; K W Kinzler
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7.  MIC-1 serum level and genotype: associations with progress and prognosis of colorectal carcinoma.

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Journal:  Clin Cancer Res       Date:  2003-07       Impact factor: 12.531

8.  Expression of nonsteroidal anti-inflammatory drug-activated gene-1 (NAG-1) inversely correlates with tumor progression in gastric adenomas and carcinomas.

Authors:  J Y Park; K H Park; S Bang; M H Kim; S S Koh; S Y Song
Journal:  J Cancer Res Clin Oncol       Date:  2008-02-09       Impact factor: 4.553

9.  Elevated levels of MIC-1/GDF15 in the cerebrospinal fluid of patients are associated with glioblastoma and worse outcome.

Authors:  Sophie Shnaper; Isabelle Desbaillets; David A Brown; Anastasia Murat; Eugenia Migliavacca; Myriam Schluep; Sandrine Ostermann; Marie-France Hamou; Roger Stupp; Samuel N Breit; Nicolas de Tribolet; Monika E Hegi
Journal:  Int J Cancer       Date:  2009-12-01       Impact factor: 7.396

10.  Growth differentiation factor 15: a prognostic marker for recurrence in colorectal cancer.

Authors:  U Wallin; B Glimelius; K Jirström; S Darmanis; R Y Nong; F Pontén; C Johansson; L Påhlman; H Birgisson
Journal:  Br J Cancer       Date:  2011-04-05       Impact factor: 7.640

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Authors:  Zhai Ertao; Chen Jianhui; Wang Kang; Ye Zhijun; Wu Hui; Chen Chuangqi; Qin Changjiang; Chen Sile; He Yulong; Cai Shirong
Journal:  Tumour Biol       Date:  2016-07-29

2.  Distinct response to GDF15 knockdown in pediatric and adult glioblastoma cell lines.

Authors:  Mirella Baroni; Suely Kazue Nagahashi Marie; Paola Fernanda Fedatto; Augusto Faria Andrade; Veridiana Kill Suazo; Gustavo Alencastro Veiga Cruzeiro; Rosane de Paula Queiroz; Luiz Gonzaga Tone; Carlos Alberto Scrideli
Journal:  J Neurooncol       Date:  2018-04-18       Impact factor: 4.130

3.  miR-34a Regulates Expression of the Stathmin-1 Oncoprotein and Prostate Cancer Progression.

Authors:  Balabhadrapatruni V S K Chakravarthi; Darshan S Chandrashekar; Sumit Agarwal; Sai Akshaya Hodigere Balasubramanya; Satya S Pathi; Moloy T Goswami; Xiaojun Jing; Rui Wang; Rohit Mehra; Irfan A Asangani; Arul M Chinnaiyan; Upender Manne; Guru Sonpavde; George J Netto; Jennifer Gordetsky; Sooryanarayana Varambally
Journal:  Mol Cancer Res       Date:  2017-10-12       Impact factor: 5.852

4.  Growth differentiation factor-15 and lactoferrin immuno-expression in breast cancer: relationship with body iron-status and survival outcome.

Authors:  Zheng Zhang; Hao-Jie Jiang; Huan-Huan Yang; Jin-Jin Ren; Guo-Qin Jiang; Jia-Ying Xu; Li-Qiang Qin
Journal:  Biometals       Date:  2021-01-23       Impact factor: 2.949

5.  A GDF15 3' UTR variant, rs1054564, results in allele-specific translational repression of GDF15 by hsa-miR-1233-3p.

Authors:  Ming-Sheng Teng; Lung-An Hsu; Shu-Hui Juan; Wen-Chi Lin; Ming-Cheng Lee; Cheng-Wen Su; Semon Wu; Yu-Lin Ko
Journal:  PLoS One       Date:  2017-08-14       Impact factor: 3.240

6.  Transcriptome-wide elucidation of liposomal formulations for anticancer drug delivery.

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Journal:  Int J Nanomedicine       Date:  2017-11-29

Review 7.  Growth/Differentiation Factor-15 (GDF-15): From Biomarker to Novel Targetable Immune Checkpoint.

Authors:  Jörg Wischhusen; Ignacio Melero; Wolf Herman Fridman
Journal:  Front Immunol       Date:  2020-05-19       Impact factor: 7.561

  7 in total

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