Special Issue Title:

Molecular Markers in Ovarian Cancer: Roles in Diagnosis, Prognostic Prediction, and Personalized Therapy

Deadline for manuscript submissions: 30 March 2022

Print Special Issue Flyer (3)

Special Issue Editor

  • Guest Editor

    Sharad Ghamande, MDE-MailWebsite

    Department of Obstetrics and Gynecology, Augusta University, Augusta, USA

    Interests: Ovarian Cancer

  • Guest Editor

    David Mysona, MDE-MailWebsite

    Department of Obstetrics and Gynecology, Augusta University, Augusta, USA

    Interests: Ovarian Cancer

Special Issue Information

Dear Colleagues,

Ovarian cancer is a lethal female malignancy with more than 14,000 deaths per year in United States. This is related to the fact that most patients are diagnosed at an advanced stage. While over the years there has been a focus on trying to diagnose this neoplasm in its earliest stages to improve outcomes; there has been an explosion of over 10 new FDA approved therapies during the last 15 years for this disease. However, outside of BRCA mutation status and PARP inhibitors, molecular markers to guide therapeutic decision making have been sparse.

In this special issue, authors will present studies focusing on molecular markers which improve early detection, prognostic predictions, and personalized therapies. Studies may also focus on how molecular markers predict cytoreductive surgery outcomes, and response to platinum-based chemotherapies and intra peritoneal therapy.

Special consideration will be given to studies focusing on prognosis or prediction of response to PARP inhibitors, immunotherapies, and treatments inhibiting angiogenesis. Reports investigating markers of the effectiveness of FDA approved drugs not yet approved for ovarian cancer may also be considered in this special issue. 

Prof. Sharad Ghamande and Dr. David Mysona

Guest Editors


Ovarian Cancer;Diagnosis;Prognosis;Treatment Response;Personalized Therapy;Platinum Resistance;Homologous Recombination Deficiency;Immunotherapy;Cytoreduction;Proteomics;Genomics;Prognostic Biomarkers;Diagnostic Biomarkers

Manuscript Submission Information

Manuscripts should be submitted online by submit system. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Original articles, case reports or comprehensive reviews are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. European Journal of Gynaecological Oncology is an international peer-reviewed open access journal published by MRE Press. Please visit the Instructions for Authors page before submitting a manuscript.The Article Processing Charge (APC) for publication in this open access journal is $1200. We normally offer a discount greater than 30% to all contributors invited by the Editor-in-Chief, Guest Editor (GE) and Editorial board member. Submitted papers should be well formatted and use good English.

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Published Papers (1 papers)

Open Access Special Issue

Prognostic value of matrix metalloproteinase 2 protein expression in ovarian cancer is age- and stage-dependent

Mourad Assidi,Mohammad Alam Jafri,Muhammad Abu-Elmagd,Salina Saddi,Safia Messaoudi,Mahmood Rasool,Jaudah AlMaghrabi,Nisreen Anfinan,Hanen Chelbi,Maram Sait,Abdelfatteh El Omri,Hesham Sait,Hussain Basalamah,Khalid Sait,Abdelbaset Buhmeida

DOI: 10.31083/j.ejgo4301010

(This article belongs to the Special Issue Molecular Markers in Ovarian Cancer: Roles in Diagnosis, Prognostic Prediction, and Personalized Therapy)

Abstract ( 1082 ) PDF (2.98 MB) ( 174 )

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