Evidence map›Paper›PMID 40893237›Full record

ReviewACS omega2025

Redefining Risk, Biomarkers, and Precision Therapy for Hereditary Ovarian Cancer: A Review.

Ambika Nand Jha, Varsha Ratan Gaikwad, Ashok Kumar Gupta, Taufik Mulla, Dave Drashti, Rajesh Dodiya, Sudarshan Singh

Abstract readReview
In one paragraph

Review in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ambika Nand JhaSchool of Pharmacy, Sharda University, Greater Noida, Uttar Pradesh 201306, India.ORCID https://orcid.org/0000-0002-4640-1489
Varsha Ratan GaikwadSandip School of Pharmaceutical Sciences, Sandip University, Nashik, Maharashtra 422213, India.
Ashok Kumar GuptaSchool of Pharmacy, Sharda University, Greater Noida, Uttar Pradesh 201306, India.
Taufik MullaInstitute of Pharmaceutical Sciences, Faculty of Pharmacy, Parul University, Vadodara, Gujarat 391760, India.ORCID https://orcid.org/0009-0002-9674-8859
Dave DrashtiFaculty of Pharmacy, Sigma University, Vadodara, Gujarat 390019, India.
Rajesh DodiyaInstitute of Pharmaceutical Sciences, Faculty of Pharmacy, Parul University, Vadodara, Gujarat 391760, India.
Sudarshan SinghOffice of Research Administrations, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID https://orcid.org/0000-0002-7929-3322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The early 1990s marked a pivotal era in oncology with the elucidation of the molecular etiology of hereditary cancers, fundamentally transforming our understanding of genetic susceptibility. Ovarian cancer (OC) remains the most fatal gynecologic malignancy, often diagnosed at advanced stages with limited modifiable risk factors. Globally, it ranks as the eighth most frequently diagnosed cancer in women, underscoring its significant public health burden. Hereditary ovarian cancer (HOC), predominantly driven by pathogenic germline mutations in BRCA1 and BRCA2, confers a strikingly increased lifetime risk of OC. These tumor suppressor genes encode proteins essential for homologous recombination-mediated DNA repair, and their dysfunction promotes genomic instability. Risk assessment models, such as BRCAPRO and BOADICEA, facilitate early genetic screening, enabling the implementation of preventive strategies such as risk-reducing salpingo-oophorectomy (RRSO) and chemoprevention with oral contraceptives, both associated with reduced OC incidence. The advent of targeted therapies, particularly PARP inhibitors (olaparib, niraparib, and rucaparib), has revolutionized HOC management, exploiting synthetic lethality in homologous recombination-deficient tumors. These agents significantly improved progression-free survival, establishing them as a cornerstone of precision oncology. This review delineates the evolving landscape of HOC, focusing on pharmacoepidemiology, risk assessment, chemoprevention, and targeted therapy, aiming to refine clinical decision-making and advance precision medicine for improved patient outcomes.

Identifiers

PMID40893237
PMCPMC12391969

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.