Evidence map›Paper›PMID 23591842›Full record

ReviewInternational journal of molecular sciences2013

Ovarian cancer: can proteomics give new insights for therapy and diagnosis?

Angela Toss, Elisabetta De Matteis, Elena Rossi, Lara Della Casa, Anna Iannone, Massimo Federico, Laura Cortesi

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Observational
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. The functional proteomics analysis of VEGF-treated human epithelial ovarian cancer cells.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  13. Article
  14. 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.

Angela TossDepartment of Oncology & Haematology, University of Modena and Reggio Emilia, Modena 41125, Italy. hbc@unimore.it.
Elisabetta De Matteis
Elena Rossi
Lara Della Casa
Anna Iannone
Massimo Federico
Laura Cortesi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of the ovarian proteomic profile represents a new frontier in ovarian cancer research, since this approach is able to enlighten the wide variety of post-translational events (such as glycosylation and phosphorylation). Due to the possibility of analyzing thousands of proteins, which could be simultaneously altered, comparative proteomics represent a promising model of possible biomarker discovery for ovarian cancer detection and monitoring. Moreover, defining signaling pathways in ovarian cancer cells through proteomic analysis offers the opportunity to design novel drugs and to optimize the use of molecularly targeted agents against crucial and biologically active pathways. Proteomic techniques provide more information about different histological types of ovarian cancer, cell growth and progression, genes related to tumor microenvironment and specific molecular targets predictive of response to chemotherapy than sequencing or microarrays. Estimates of specificity with proteomics are less consistent, but suggest a new role for combinations of biomarkers in early ovarian cancer diagnosis, such as the OVA1 test. Finally, the definition of the proteomic profiles in ovarian cancer would be accurate and effective in identifying which pathways are differentially altered, defining the most effective therapeutic regimen and eventually improving health outcomes.

Indexed as

Biomarkers, TumorElectrophoresis, Gel, Two-DimensionalFemaleGenes, BRCA1Genes, BRCA2HumansMass SpectrometryMolecular Targeted TherapyNeoplasm ProteinsOvarian NeoplasmsProtein Array AnalysisProtein Processing, Post-TranslationalProteomeProteomicsSignal TransductionBiomarkers, TumorNeoplasm ProteinsProteome

Identifiers

PMID23591842
PMCPMC3645742

What OpenQuestion holds

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LicenceCC BY
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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.