Evidence map›Paper›PMID 22149035›Full record

ReviewFuture oncology (London, England)2012

Protein biomarkers of ovarian cancer: the forest and the trees.

Brian M Nolen, Anna E Lokshin

Abstract readReview
In one paragraph

Review in Future oncology (London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Ascites analysis by a microfluidic chip allows tumor-cell profiling.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Trial
  4. Article
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  6. Circulating Proteins as Diagnostic Markers in Gastric Cancer.International journal of molecular sciences · 2023
    Review
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  12. Review
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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

2 authors.

Brian M NolenUniversity of Pittsburgh Cancer Institute, Hillman Cancer Center, 5117 Centre Avenue 1.18, Pittsburgh, PA 15213, USA.
Anna E Lokshin

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jessie Nedrow · 1988 to 2026
$158.0M
Urine and Serum Biomarkers for Screening and Diagnosis of Ovarian CancerR01CA108990 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOKSHIN, ANNA E. · 2005 to 2014
$5.3M
Identification of Early Markers for Ovarian CancerR01CA098642 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOKSHIN, ANNA E. · 2003 to 2006
$1.3M
Development of a multimarker urine-based test for early diagnosis and screening oR21CA143736 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOKSHIN, ANNA E. · 2010 to 2011
$357k
NCI NIH HHS P30 CA047904NCI NIH HHS P30CA047904NCI NIH HHS R01 CA098642NCI NIH HHS R01 CA108990NCI NIH HHS R01CA108990NCI NIH HHS R21 CA143736NCI NIH HHS R21CA143736
6 · The paper itself

Abstract

The goal of effective population-based screening for ovarian cancer remains elusive despite intense efforts aimed at improving upon biomarker and imaging modalities. While dozens of potential serum biomarkers for ovarian cancer have been identified in recent years, none have yet overcome the limitations that have hindered the clinical use of CA-125. Avenues of opportunity in biomarker development are emerging as investigators are beginning to appreciate the significance of remote, as well as local or regional, sources of biomarkers in the construction of diagnostic panels, as well as the importance of evaluating biomarkers in prediagnostic settings. As the list of candidate biomarkers of ovarian cancer continues to grow, refinements in the methods through which specific proteins are selected for further development as components of diagnostic panels are desperately sought. Such refinements must take into account both the bioinformatic and biological significance of each candidate. Approaches incorporating these considerations may potentially overcome the challenges to early detection posed by the histological heterogeneity of ovarian cancer. Here, we review the recent progress achieved in efforts to develop diagnostic biomarker panels for ovarian cancer and discuss the challenges that remain.

Indexed as

AnimalsBiomarkers, TumorEarly Detection of CancerFemaleHumansMass ScreeningOvarian NeoplasmsRandomized Controlled Trials as TopicSensitivity and SpecificityBiomarkers, Tumor

Identifiers

PMID22149035
PMCPMC3312922

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.