Literature DB >> 25818738

Advances in tumor markers of ovarian cancer for early diagnosis.

X Dong, X Men, W Zhang1, P Lei1.   

Abstract

Ovarian cancer often occurs in perimenopausal women. The mortality of ovarian cancer is in the first place among gynecological cancers because of no obvious early symptoms and the lack of effective diagnostic approach. Gene chips, proteomics, immunohistochemistry and other methods have become hot topics for early diagnosis of ovarian cancer. However, due to the variety of pathology and not clear enough of mechanism and etiology, there is still no ideal tumor markers with both high specific and sensitivity, which can be applied into clinical early diagnosis for ovarian cancer. Therefore, a new systematic method with high sensitivity and specificity for early diagnosis of ovarian cancer and new tumor markers need to be identified. We should make an examination of ovarian cancer in the early period in the crowd for early diagnosis and early treatment to further improve life quality of patients. This paper reviewed the recent advancements of tumor markers for early diagnosis of ovarian cancer.

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Year:  2014        PMID: 25818738     DOI: 10.4103/0019-509X.154049

Source DB:  PubMed          Journal:  Indian J Cancer        ISSN: 0019-509X            Impact factor:   1.224


  35 in total

1.  Population structure and genetic diversity in yellow catfish (Pelteobagrus fulvidraco) assessed with microsatellites.

Authors:  Wenjie Guo; Chengtao Guo; Yuhong Wang; Weihua Hu; Jie Mei
Journal:  J Genet       Date:  2019-03       Impact factor: 1.166

2.  microRNA-26b inhibits growth and cellular invasion of ovarian cancer cells by targeting estrogen receptor α.

Authors:  Guna He; Xiaomei Liu; Lingyu Liu
Journal:  3 Biotech       Date:  2022-07-12       Impact factor: 2.893

3.  Ovarian Dermoid Tumor.

Authors:  Mya St Louis; Rohan Mangal; Thor S Stead; Marcos Sosa; Latha Ganti
Journal:  Cureus       Date:  2022-07-25

4.  LncRNA PART1 Stimulates the Development of Ovarian Cancer by Up-regulating RACGAP1 and RRM2.

Authors:  Hui Li; Yuansheng Lei; Shuangxue Li; Feng Li; Jieyun Lei
Journal:  Reprod Sci       Date:  2022-05-12       Impact factor: 2.924

5.  Expression of EZH2 and P53 and their correlation in ovarian cancer tissues.

Authors:  Li Zhai; Wen-Lin Tai; Yu-Qing Pan; Jian-Bo Luo; Li Ma; Ya-Ting Zheng; Meng-Yue Guo; Xi Zhang
Journal:  Int J Clin Exp Pathol       Date:  2020-03-01

6.  pETM: a penalized Exponential Tilt Model for analysis of correlated high-dimensional DNA methylation data.

Authors:  Hokeun Sun; Ya Wang; Yong Chen; Yun Li; Shuang Wang
Journal:  Bioinformatics       Date:  2017-06-15       Impact factor: 6.937

7.  Mechanism of MicroRNA-375 Promoter Methylation in Promoting Ovarian Cancer Cell Malignancy.

Authors:  Junjun Shu; Ling Xiao; Sanhua Yan; Boqun Fan; Xia Zou; Jun Yang
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec

8.  The value of red cell distribution width in patients with ovarian cancer.

Authors:  Yuanyuan Qin; Peng Wang; Zhibi Huang; Gaoming Huang; Jingguang Tang; Yi Guo; Ping Huang; Zhanfeng Lai; Faquan Lin
Journal:  Medicine (Baltimore)       Date:  2017-04       Impact factor: 1.889

9.  New biomarkers in peripheral blood of patients with ovarian cancer: high expression levels of miR-16-5p, miR-17-5p, and miR-638.

Authors:  Mukaddes Avsar Saral; Seref Bugra Tuncer; Demet Akdeniz Odemis; Ozge Sukruoglu Erdogan; Seda Kilic Erciyas; Pınar Saip; Sevda Ozel; Hulya Yazici
Journal:  Arch Gynecol Obstet       Date:  2021-08-09       Impact factor: 2.344

10.  PER1 Is a Prognostic Biomarker and Correlated With Immune Infiltrates in Ovarian Cancer.

Authors:  Mali Chen; Lili Zhang; Xiaolong Liu; Zhen Ma; Ling Lv
Journal:  Front Genet       Date:  2021-06-17       Impact factor: 4.599

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