Evidence map›Paper›PMID 36768291›Full record

ReviewInternational journal of molecular sciences2023

Predicting Prognosis and Platinum Resistance in Ovarian Cancer: Role of Immunohistochemistry Biomarkers.

Ghofraan Abdulsalam Atallah, Nirmala Chandralega Kampan, Kah Teik Chew, Norfilza Mohd Mokhtar, Reena Rahayu Md Zin, Mohamad Nasir Bin Shafiee, Nor Haslinda Binti Abd Aziz

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
–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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. [Role of programmed cell death in platinum resistance in ovarian cancer].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
    Review
  6. Review
  7. Article
  8. Review
  9. CT-based radiomics model to predict platinum sensitivity in epithelial ovarian carcinoma: a multicentre study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  10. Article
  11. Review
  12. Observational
  13. Review
  14. Article
  15. Article
  16. Article
  17. Cancer medicine · 2024
    Article
  18. Article
  19. Article
  20. Article
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.

Ghofraan Abdulsalam AtallahDepartment of Obstetrics and Gynaecology, Faculty of Medicine, University Kebangsaan Malaysia, Bandar Tun Razak 56000, Kuala Lumpur, Malaysia.
Nirmala Chandralega KampanDepartment of Obstetrics and Gynaecology, Faculty of Medicine, University Kebangsaan Malaysia, Bandar Tun Razak 56000, Kuala Lumpur, Malaysia.ORCID 0000-0003-1417-192X
Kah Teik ChewDepartment of Obstetrics and Gynaecology, Faculty of Medicine, University Kebangsaan Malaysia, Bandar Tun Razak 56000, Kuala Lumpur, Malaysia.ORCID 0000-0002-6542-386X
Norfilza Mohd MokhtarDepartment of Physiology, Faculty of Medicine, University Kebangsaan Malaysia, Bandar Tun Razak 56000, Kuala Lumpur, Malaysia.ORCID 0000-0002-4863-100X
Reena Rahayu Md ZinDepartment of Pathology, Faculty of Medicine, University Kebangsaan Malaysia, Bandar Tun Razak 56000, Kuala Lumpur, Malaysia.
Mohamad Nasir Bin ShafieeDepartment of Obstetrics and Gynaecology, Faculty of Medicine, University Kebangsaan Malaysia, Bandar Tun Razak 56000, Kuala Lumpur, Malaysia.ORCID 0000-0001-5631-5309
Nor Haslinda Binti Abd AzizDepartment of Obstetrics and Gynaecology, Faculty of Medicine, University Kebangsaan Malaysia, Bandar Tun Razak 56000, Kuala Lumpur, Malaysia.

Funding

Fundamental Research Grant Scheme by the Ministry of Higher Education Malaysia FRGS/1/2018/SKK08/UKM/02/6
6 · The paper itself

Abstract

Ovarian cancer is a lethal reproductive tumour affecting women worldwide. The advancement in presentation and occurrence of chemoresistance are the key factors for poor survival among ovarian cancer women. Surgical debulking was the mainstay of systemic treatment for ovarian cancer, which was followed by a successful start to platinum-based chemotherapy. However, most women develop platinum resistance and relapse within six months of receiving first-line treatment. Thus, there is a great need to identify biomarkers to predict platinum resistance before enrolment into chemotherapy, which would facilitate individualized targeted therapy for these subgroups of patients to ensure better survival and an improved quality of life and overall outcome. Harnessing the immune response through immunotherapy approaches has changed the treatment way for patients with cancer. The immune outline has emerged as a beneficial tool for recognizing predictive and prognostic biomarkers clinically. Studying the tumour microenvironment (TME) of ovarian cancer tissue may provide awareness of actionable targets for enhancing chemotherapy outcomes and quality of life. This review analyses the relevance of immunohistochemistry biomarkers as prognostic biomarkers in predicting chemotherapy resistance and improving the quality of life in ovarian cancer.

Indexed as

Ovarian NeoplasmsBiomarkersBiomarkers, TumorDrug Resistance, NeoplasmFemaleHumansImmunohistochemistryNeoplasm Recurrence, LocalPlatinumQuality of LifeTumor MicroenvironmentBiomarkersBiomarkers, TumorPlatinumbiomarkerschemotherapy resistancedisease relapseimmunohistochemistryovarian cancerplatinum chemotherapy

Identifiers

PMID36768291
PMCPMC9916805

What OpenQuestion holds

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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.