Evidence map›Paper›PMID 22022944›Full record

ReviewExpert review of molecular diagnostics2011

Integrating contextual miRNA and protein signatures for diagnostic and treatment decisions in cancer.

Lorenzo F Sempere

Abstract readReview
In one paragraph

Review in Expert review of molecular diagnostics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
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  5. Review
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  11. MicroRNA expression profiling identifies decreased expression of miR-205 in inflammatory breast cancer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2016
    Article
  12. Review
  13. Prognostic implications of tissue and serum levels of microRNA-128 in human prostate cancer.International journal of clinical and experimental pathology · 2015
    Article
  14. Article
  15. Review
  16. Article
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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

1 author.

Lorenzo F SempereDepartment of Medicine, Rubin 763 HB7936, Norris Cotton Cancer Center, 1 Medical Center Drive, Lebanon, NH 03756-1000, USA. lorenzo.f.sempere@dartmouth.edu

Funding

microRNAs as novel biomarkers for management of breast cancerR21CA141017 · NCI · DARTMOUTH COLLEGE · PI SEMPERE, LORENZO · 2011 to 2012
$378k
Role of microRNAs in initiation and progression of breast cancerR03CA141564 · NCI · DARTMOUTH COLLEGE · PI SEMPERE, LORENZO · 2009 to 2010
$158k
NCI NIH HHS R03 CA141564NCI NIH HHS R21 CA141017
6 · The paper itself

Abstract

The promise of personalized medicine is highly dependent on the identification of biomarkers that inform diagnostic decisions and treatment options, as well as on the accurate, rapid and cost-effective detection and interpretation of these biomarkers. miRNAs, which are short noncoding regulatory RNAs, are rapidly emerging as a novel class of biomarkers with a unique set of biological and chemical properties that makes them very appealing candidates for theranostic applications in cancer. Since the utility of some protein-encoding gene biomarkers is already exploited in routine clinical practice, it will be important to identify areas in which miRNAs provide complementary or superior information to these existing (and other translational) biomarkers to enhance the diagnostic, prognostic and predictive power of molecular characterization of tumors. In this article, the challenges and opportunities for integration of miRNA-based assays in the clinical toolkit to improve care and management of patients afflicted with solid tumors will be discussed.

Indexed as

Biomarkers, TumorBreast NeoplasmsColorectal NeoplasmsFemaleHigh-Throughput Screening AssaysHumansLung NeoplasmsMicroRNAsNeoplasmsPrecision MedicineProteinsBiomarkers, TumorMicroRNAsProteins

Identifiers

PMID22022944
PMCPMC3220160

What OpenQuestion holds

Textmetadata
LicenceTDM
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.