MicroRNA： a new and promising potential biomarker for diagnosis and prognosis of ovarian cancer
Epithelial ovarian cancer（EOC） is the leading cause of death among all gynecological malignancies. Despite the technological and medical advances over the past four decades, such as the development of several biological markers（mRNA and proteins biomarkers）, the mortality rate of ovarian cancer rema...
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| Published in: | Cancer biology & medicine Vol. 12; no. 4; pp. 328 - 341 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
China
Chinese Anti-Cancer Association (CACA), Cancer Biology & Medicine
01-12-2015
Department of 0bstetrics and Gynecology, King George Medical University, Lucknow, UP 226003, India%Biochemistry and Molecular Biology Laboratory Center for Advanced Study in Zoology, Department of Zoology, Banaras Hindu University, Varanasi, UP 221005, India%Endocrinology Division, Central Drug Research Institute, Lucknow, UP 226001, India%Photobiology Division, Indian Institute of Toxicology Research, MG Marg, Lucknow, UP 226001, India Chinese Anti-Cancer Association China Anti-Cancer Association |
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| Online Access: | Get full text |
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| Summary: | Epithelial ovarian cancer（EOC） is the leading cause of death among all gynecological malignancies. Despite the technological and medical advances over the past four decades, such as the development of several biological markers（mRNA and proteins biomarkers）, the mortality rate of ovarian cancer remains a challenge because of its late diagnosis, which is specifically attributed to low specificities and sensitivities. Under this compulsive scenario, recent advances in expression biology have shifted in identifying and developing specific and sensitive biomarkers, such as micro RNAs（miRNAs） for cancer diagnosis and prognosis. MiRNAs are a novel class of small non-coding RNAs that deregulate gene expression at the posttranscriptional level, either by translational repression or by mRNA degradation. These mechanisms may be involved in a complex cascade of cellular events associated with the pathophysiology of many types of cancer. MiRNAs are easily detectable in tissue and blood samples of cancer patients. Therefore, miRNAs hold good promise as potential biomarkers in ovarian cancer. In this review, we attempted to provide a comprehensive profile of key miRNAs involved in ovarian carcinoma to establish mi RNAs as more reliable non-invasive clinical biomarkers for early detection of ovarian cancer compared with protein and DNA biomarkers. |
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| Bibliography: | Micro RNAs（miRNA） biomarker chemoresistance detection RT-PCR Epithelial ovarian cancer（EOC） is the leading cause of death among all gynecological malignancies. Despite the technological and medical advances over the past four decades, such as the development of several biological markers（mRNA and proteins biomarkers）, the mortality rate of ovarian cancer remains a challenge because of its late diagnosis, which is specifically attributed to low specificities and sensitivities. Under this compulsive scenario, recent advances in expression biology have shifted in identifying and developing specific and sensitive biomarkers, such as micro RNAs（miRNAs） for cancer diagnosis and prognosis. MiRNAs are a novel class of small non-coding RNAs that deregulate gene expression at the posttranscriptional level, either by translational repression or by mRNA degradation. These mechanisms may be involved in a complex cascade of cellular events associated with the pathophysiology of many types of cancer. MiRNAs are easily detectable in tissue and blood samples of cancer patients. Therefore, miRNAs hold good promise as potential biomarkers in ovarian cancer. In this review, we attempted to provide a comprehensive profile of key miRNAs involved in ovarian carcinoma to establish mi RNAs as more reliable non-invasive clinical biomarkers for early detection of ovarian cancer compared with protein and DNA biomarkers. 12-1431/R ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-3 content type line 23 ObjectType-Review-1 Correspondence to: Shyam P. Jaiswar E-mail: spjaiswar59@gmail.com |
| ISSN: | 2095-3941 2095-3941 |
| DOI: | 10.7497/j.issn.2095-3941.2015.0024 |