Preoperative Serum Vascular Endothelial Growth Factor as a predictor of malignant ovarian tumor

Authors

  • Marzina Faruq Department of Obst. & Gynae, 100 bed Upzila Health Complex, Sashiani, Gopalgonj, Bangladesh
  • Shirin Akhter Begum Department of Gynaecological Oncology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh
  • Mehriban Amatullah Department of Obstetrics and Gynaecology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, Bangladesh
  • Tasfia Mahmud Sirajul Islam Medical College, Dhaka, Bangladesh
  • Gopa Kundu Department of Obs & Gynae, Upazila Health Complex, Kamar Khanda, Sirajganj, Bangladesh
  • Reeta Rani Sarker Department. of Obs & Gynae, OSD, DGHS, Dhaka, attached to: Colonel Malek Medical College & Hospital, Manikgonj, Bangladesh
  • Samina Sultana Department of Obst. & Gynae, Dhaka Medical College, Dhaka, Bangladesh

DOI:

https://doi.org/10.3329/bmrcb.v49i3.67906

Keywords:

Malignant, Ovarian tumor, Angiogenesis, Serum Vascular Endothelial Growth Factor

Abstract

Background: Effective biomarkers for accurate characterization of newly diagnosed ovarian tumors and adnexal masses are of paramount importance. The availability of an ideal serum marker is highly recommended. Vascular endothelial growth factor (VEGF) may be considered as a predictor of ovarian cancer.

Objective: This study explored the efficacy of preoperative serum VEGF for detection of malignant ovarian tumor.

Methods: This cross sectional analytical study was conducted among 86 patients who were enrolled for this study according to final histopathology report and who did not receive any kind of treatment. Serum levels of VEGF-A were determined by using ELISA method. ROC curve was plotted to achieve the best cutoff value of serum VEGF. The Mann-Whitney test was used to compare the VEGF distribution across sub-groups of patients.

Result: A statistically significant difference in the levels of serum VEGF level was observed between benign and malignant ovarian tumor patients. Ovarian cancer patients had a higher preoperative median S. VEGF level of 753.8 pg/ml than that of benign ovarian masses (median 241.8 pg/ml; p value 0.001). The ability of serum VEGF to differentiate malignancy from benign masses at a cut-off value of 547.85 pg/ml gave a sensitivity of 90.1%, a specificity of 93.5%.

Conclusion: This study revealed that preoperative serum VEGF may be used as a feasible vascular marker and predictor of malignant ovarian tumors.

Bangladesh Med Res Counc Bull 2023; 49: 183-189

Downloads

Download data is not yet available.
Abstract
85
PDF
92

Downloads

Published

2023-12-01

How to Cite

Faruq, M. ., Begum, S. A. ., Amatullah, M. ., Mahmud, T. ., Kundu, G. ., Sarker, R. R. ., & Sultana, S. . (2023). Preoperative Serum Vascular Endothelial Growth Factor as a predictor of malignant ovarian tumor. Bangladesh Medical Research Council Bulletin, 49(3), 183–189. https://doi.org/10.3329/bmrcb.v49i3.67906

Issue

Vol. 49 No. 3 (2023)

Section

Research Papers

License

Copyright (c) 2023 Marzina Faruq, Shirin Akhter Begum, Mehriban Amatullah, Tasfia Mahmud, Gopa Kundu, Reeta Rani Sarker, Samina Sultana

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with this journal agree to the following terms.

Authors retain copyright and grant the journal right of first publication.

Creative Commons Licence
Articles in the Bangladesh Medical Research Council Bulletin are licensed under a Creative Commons Attribution 4.0 International License (CC-BY) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).