An in-Depth Analysis of Ovarian Cancer: Pathogenesis and Clinical Manifestation

Author:

Mahima Mahima1,Mahmood Tarique1,Ved Akash2,Siddiqui Mohammed Haris3,Ahsan Farogh1,Shamim Arshiya1,Ansari Vaseem Ahamad1,Ahmad Afroz1,Kashyap Monu Kumar2

Affiliation:

1. Department of Pharmacy, Integral University, Dasauli, Lucknow, India

2. Department of Pharmacy, Goel Institute of Pharmaceutical Sciences, Lucknow, India

3. Department of Bioengineering, Integral University, Dasauli, Lucknow, India

Abstract

AbstractOvarian cancer is characterized by the establishment of tolerance, the recurrence of disease, as well as a poor prognosis. Gene signatures in ovarian cancer cells enable cancer medicine research, therapy, prevention, & management problematic. Notwithstanding advances in tumor puncture surgery, novel combinations regimens, and abdominal radiation, which can provide outstanding reaction times, the bulk of gynecological tumor patients suffer from side effects & relapse. As a consequence, more therapy alternatives for individuals with ovarian cancer must always be studied to minimize side effects and improve progression-free and total response rates. The development of cancer medications is presently undergoing a renaissance in the quest for descriptive and prognostic ovarian cancer biomarkers. Nevertheless, abnormalities in the BRCA2 or BRCA1 genes, a variety of hereditary predispositions, unexplained onset and progression, molecular tumor diversity, and illness staging can all compromise the responsiveness and accuracy of such indicators. As a result, current ovarian cancer treatments must be supplemented with broad-spectrum & customized targeted therapeutic approaches. The objective of this review is to highlight recent contributions to the knowledge of the interrelations between selected ovarian tumor markers, various perception signs, and biochemical and molecular signaling processes, as well as one’s interpretation of much more targeted and effective treatment interventions.

Publisher

Georg Thieme Verlag KG

Subject

Drug Discovery,General Medicine

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