Early Detection Biomarkers for Ovarian Cancer

Joint Authors

Zhang, Shifang
Tamir, Ayala
Sarojini, Sreeja
Suh, K. Stephen
Li, Shihong
Lim, Heejin
Pecora, Andrew
Goy, Andre

Source

Journal of Oncology

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-12-23

Country of Publication

Egypt

No. of Pages

15

Main Subjects

Diseases
Medicine

Abstract EN

Despite the widespread use of conventional and contemporary methods to detect ovarian cancer development, ovarian cancer remains a common and commonly fatal gynecological malignancy.

The identification and validation of early detection biomarkers highly specific to ovarian cancer, which would permit development of minimally invasive screening methods for detecting early onset of the disease, are urgently needed.

Current practices for early detection of ovarian cancer include transvaginal ultrasonography, biomarker analysis, or a combination of both.

In this paper we review recent research on novel and robust biomarkers for early detection of ovarian cancer and provide specific details on their contributions to tumorigenesis.

Promising biomarkers for early detection of ovarian cancer include KLK6/7, GSTT1, PRSS8, FOLR1, ALDH1, and miRNAs.

American Psychological Association (APA)

Sarojini, Sreeja& Tamir, Ayala& Lim, Heejin& Li, Shihong& Zhang, Shifang& Goy, Andre…[et al.]. 2012. Early Detection Biomarkers for Ovarian Cancer. Journal of Oncology،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-492313

Modern Language Association (MLA)

Sarojini, Sreeja…[et al.]. Early Detection Biomarkers for Ovarian Cancer. Journal of Oncology No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-492313

American Medical Association (AMA)

Sarojini, Sreeja& Tamir, Ayala& Lim, Heejin& Li, Shihong& Zhang, Shifang& Goy, Andre…[et al.]. Early Detection Biomarkers for Ovarian Cancer. Journal of Oncology. 2012. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-492313

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-492313