Evidence map›Paper›PMID 38435431›Full record

ReviewTherapeutic advances in medical oncology2024

Diagnostic biomarkers in ovarian cancer: advances beyond CA125 and HE4.

Aruni Ghose, Lucy McCann, Shania Makker, Uma Mukherjee, Sri Vidya Niharika Gullapalli, Jayaraj Erekkath, Stephanie Shih, Ishika Mahajan, Elisabet Sanchez, Mario Uccello and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in Therapeutic advances in medical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 1 pooled it
53.7field-weighted citation impact, top 1% of its field
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

76 citing papers in PubMed, 1 synthesis or guideline pooled it, 100 citations in OpenAlex.

  1. Pooled it
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  11. Multi-omics analysis identifieTranslational cancer research · 2026
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  20. HE4: a potential diagnostic biomarker in autoimmune diseases.Central-European journal of immunology · 2026
    Review

16 more citing papers are in PubMed but not listed here.

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

13 authors at 10 institutions in 3 countries.

Aruni GhoseDepartment of Medical Oncology, Barts Cancer Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London, UK.ORCID https://orcid.org/0000-0001-8332-8033
Lucy McCannDepartment of General Medicine, Newham University Hospital, Barts Health NHS Trust, London, UK.
Shania MakkerBarts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID https://orcid.org/0009-0000-9081-7783
Uma MukherjeeDepartment of Medical Oncology, Barts Cancer Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London, UK.
Sri Vidya Niharika GullapalliSchool of Biosciences Education, Faculty of Life Sciences and Medicine, King's College London, London, UK.
Jayaraj ErekkathDepartment of Medical Oncology, Northern Ireland Cancer Centre, Belfast City Hospital, Belfast Health and Social Care Trust, Belfast, UK.
Stephanie ShihDepartment of General Medicine, Newham University Hospital, Barts Health NHS Trust, London, UK.
Ishika MahajanDepartment of Acute Medicine, Lincoln County Hospital, United Lincolnshire Hospitals NHS Trust, Lincoln, Lincolnshire, UK.
Elisabet SanchezDepartment of Medical Oncology, Medway NHS Foundation Trust, Gillingham, UK.
Mario UccelloDepartment of Medical Oncology, Southampton General Hospital, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Michele MoschettaNovartis Institutes for Biomedical Research, Basel, Switzerland.
Sola AdelekeDepartment of Clinical Oncology, Cancer Centre at Guy's, Guy's and St. Thomas' NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0002-4388-8754
Stergios BoussiosDepartment of Medical Oncology, Medway NHS Foundation Trust, Gillingham, UK.
Barts Health NHS Trust · GBKing's College London · GBSt Bartholomew's Hospital · GBBelfast Health and Social Care Trust · GBLincoln County Hospital · GBMedway NHS Foundation Trust · GBMedway School of Pharmacy · GBNovartis (Switzerland) · CHQueen Mary University of London · GBSouthampton General Hospital · GB

Funding

Cancer Research UK RCCCTF-OCT22/100001
6 · The paper itself

Abstract

Ovarian cancer (OC) is the most lethal gynaecologic malignancy, attributed to its insidious growth, non-specific symptoms and late presentation. Unfortunately, current screening modalities are inadequate at detecting OC and many lack the appropriate specificity and sensitivity that is desired from a screening test. Nearly 70% of cases are diagnosed at stage III or IV with poor 5-year overall survival. Therefore, the development of a sensitive and specific biomarker for early diagnosis and screening for OC is of utmost importance. Currently, diagnosis is guided by CA125, the patient's menopausal status and imaging features on ultrasound scan. However, emerging evidence suggests that a combination of CA125 and HE4 (another serum biomarker) and patient characteristics in a multivariate index assay may provide a higher specificity and sensitivity than either CA125 and HE4 alone in the early detection of OC. Other attempts at combining various serum biomarkers into one multivariate index assay such as OVA1, ROMA and Overa have all shown promise. However, significant barriers exist before these biomarkers can be implemented in clinical practice. This article aims to provide an up-to-date review of potential biomarkers for screening and early diagnosis of OC which may have the potential to transform its diagnostic landscape.

Indexed as

circulating tumour biomarkersdiagnostic biomarkersmolecular testingovarian cancertumour biomarkers

Identifiers

PMID38435431
PMCPMC10908239
OpenAlexW4392394346

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.