Evidence map›Paper›PMID 40849752›Full record

ReviewAnti-cancer agents in medicinal chemistry2026

Genetic and Molecular Determinants of Immunotherapy Response in Recurrent Ovarian Cancer.

Hamid Noori, Sana Aqil Khan, Mohamed Hisham Alamin, Komal Zulfiqar, Ishak Alibhai, Abdullah Sultany, Saurav Kumar Mishra

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Review in Anti-cancer agents in medicinal chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hamid NooriNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Sana Aqil KhanDepartment of Surgery, Liaquat College of Medicine and Dentistry, Karachi, Pakistan.
Mohamed Hisham AlaminFaculty of Medicine, International University of Africa, Khartoum, Sudan.
Komal ZulfiqarAllama Iqbal Medical College, University of Health Sciences, Lahore, Pakistan.
Ishak AlibhaiBarking Havering and Redbridge University Hospitals NHS Trust, London, UK.
Abdullah SultanyGuthrie/Robert Packer Hospital, Sayre, Pennsylvania, PA, USA.
Saurav Kumar MishraDepartment of Bioinformatics, University of North Bengal, District-Darjeeling, Siliguri, 734013, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer remains a significant public health challenge. It originates in the ovaries and presents in various histological subtypes. Surgery and chemotherapy are the most suitable treatments to combat this disease. This study aims to provide insights into the mechanisms and biological complexity needed to understand the pathogenesis of recurrent ovarian cancer. A thorough review of the relevant literature on recurrent ovarian cancer and immunotherapy was conducted to gather information on genetic factors, immune responses, therapeutic strategies, and other pertinent data. The findings were analyzed and discussed to provide an in-depth understanding aligned with the study's objectives. Recurrent ovarian cancer is a major clinical challenge that occurs when the disease returns after initial treatment and a period of remission. Recurrence typically arises when residual cancer cells remain in the body after treatment, eventually leading to disease progression. Genetic factors, including mutations in BRCA1/BRCA2 and other genetic markers, play a crucial role in ovarian cancer recurrence and influence responses to therapies. The immune system's response to cancer cells is also critical, with therapeutic interventions either enhancing or reducing efficacy. The complex mechanisms underlying ovarian cancer and its recurrence have left many aspects of the disease pathway still to be fully understood. In conclusion, a comprehensive understanding of genetic and immune factors is crucial for developing effective and personalized treatments.

Indexed as

Antineoplastic AgentsImmunotherapyNeoplasm Recurrence, LocalOvarian NeoplasmsFemaleHumansAntineoplastic Agentschemotherapygenetic factorimmunotherapymutationOvarian cancerrecurrent ovarian cancer

Identifiers

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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.