Evidence map›Paper›PMID 35645374›Full record

ReviewProteomes2022

Applications of Proteomics in Ovarian Cancer: Dawn of a New Era.

Aruni Ghose, Sri Vidya Niharika Gullapalli, Naila Chohan, Anita Bolina, Michele Moschetta, Elie Rassy, Stergios Boussios

Open access · goldAbstract readReview
In one paragraph

Review in Proteomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 5 pooled it
21.4field-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

64 citing papers in PubMed, 5 syntheses or guidelines pooled it, 115 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. Article
  8. Article
  9. Review
  10. Ovarian Cancer: Multi-Omics Data Integration.International journal of molecular sciences · 2025
    Review
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  12. Review
  13. Article
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  16. Article
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4 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

7 authors at 5 institutions in 4 countries.

Aruni GhoseDepartment of Medical Oncology, Barts Cancer Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London EC1A 7BE, UK.ORCID 0000-0001-8332-8033
Sri Vidya Niharika GullapalliSchool of Biosciences Education, Faculty of Life Sciences and Medicine, King's College London, London WC2R 2LS, UK.ORCID 0000-0003-0775-5708
Naila ChohanDepartment of Medical Oncology, Barts Cancer Centre, St. Bartholomew's Hospital, Barts Health NHS Trust, London EC1A 7BE, UK.
Anita BolinaDepartment of Haematology, Clatterbridge Cancer Centre Liverpool, The Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool L7 8YA, UK.ORCID 0000-0002-1890-7319
Michele MoschettaNovartis Institutes for BioMedical Research, 4033 Basel, Switzerland.
Elie RassyDepartment of Medical Oncology, Gustave Roussy Institut, 94805 Villejuif, France.ORCID 0000-0002-7906-0991
Stergios BoussiosDepartment of Medical Oncology, Medway NHS Foundation Trust, Windmill Road, Gillingham ME7 5NY, UK.ORCID 0000-0002-2512-6131
King's College London · GBSt Bartholomew's Hospital · GBClatterbridge Cancer Centre NHS Foundation Trust · GBInstitut Gustave Roussy · FRNovartis (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to identify ovarian cancer (OC) at its earliest stages remains a challenge. The patients present an advanced stage at diagnosis. This heterogeneous disease has distinguishable etiology and molecular biology. Next-generation sequencing changed clinical diagnostic testing, allowing assessment of multiple genes, simultaneously, in a faster and cheaper manner than sequential single gene analysis. Technologies of proteomics, such as mass spectrometry (MS) and protein array analysis, have advanced the dissection of the underlying molecular signaling events and the proteomic characterization of OC. Proteomics analysis of OC, as well as their adaptive responses to therapy, can uncover new therapeutic choices, which can reduce the emergence of drug resistance and potentially improve patient outcomes. There is an urgent need to better understand how the genomic and epigenomic heterogeneity intrinsic to OC is reflected at the protein level, and how this information could potentially lead to prolonged survival.

Indexed as

multiomicsovarian cancerpeptidomicsproteomic biomarkersproteomic techniquessignaling pathways

Identifiers

PMID35645374
PMCPMC9150001
OpenAlexW4229453381

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.