Evidence map›Paper›PMID 22482439›Full record

ArticleBioTechniques2012

Quantitative analysis of microRNAs in tissue microarrays by in situ hybridization.

Jason A Hanna, Hallie Wimberly, Salil Kumar, Frank Slack, Seema Agarwal, David L Rimm

Open access · goldAbstract read
In one paragraph

Article in BioTechniques, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 10% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. High uPAR and Low miR-221 Expression Predict Poor Disease-Free Survival in Triple-Negative Breast Cancer.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
    Article
  4. Detection of MicroRNAs in Skin by In Situ Hybridization.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. miRNA in Molecular Diagnostics.Bioengineering (Basel, Switzerland) · 2022
    Review
  11. Experimental MicroRNA Detection Methods.Methods in molecular biology (Clifton, N.J.) · 2022
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Detection of MicroRNAs by In Situ Hybridization in Skin.Methods in molecular biology (Clifton, N.J.) · 2020
    Article
  17. Article
  18. Review
  19. Review
  20. MicroRNA amplification and detection technologies: opportunities and challenges for point of care diagnostics.Laboratory investigation; a journal of technical methods and pathology · 2019
    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

6 authors at 1 institution in 1 country.

Jason A HannaDepartment of Pathology, Yale University Medical School, New Haven, CT, USA.
Hallie Wimberly
Salil Kumar
Frank Slack
Seema Agarwal
David L Rimm
Yale University · US

Funding

Predicting Metastasis in MelanomaR01CA114277 · NCI · YALE UNIVERSITY · PI RIMM, DAVID L · 2006 to 2013
$2.1M
NCI NIH HHS R0-1 CA 114277NCI NIH HHS R01 CA114277
6 · The paper itself

Abstract

MicroRNAs (miRNAs) have emerged as key regulators in the pathogenesis of cancers where they can act as either oncogenes or tumor suppressors. Most miRNA measurement methods require total RNA extracts which lack critical spatial information and present challenges for standardization. We have developed and validated a method for the quantitative analysis of miRNA expression by in situ hybridization (ISH) allowing for the direct assessment of tumor epithelial expression of miRNAs. This co-localization based approach (called qISH) utilizes DAPI and cytokeratin immunofluorescence to establish subcellular compartments in the tumor epithelia, then multiplexed with the miRNA ISH, allows for quantitative measurement of miRNA expression within these compartments. We use this approach to assess miR-21, miR-92a, miR-34a, and miR-221 expression in 473 breast cancer specimens on tissue microarrays. We found that miR-221 levels are prognostic in breast cancer illustrating the high-throughput method and confirming that miRNAs can be valuable biomarkers in cancer. Furthermore, in applying this method we found that the inverse relationship between miRNAs and proposed target proteins is difficult to discern in large population cohorts. Our method demonstrates an approach for large cohort, tissue microarray-based assessment of miRNA expression.

Indexed as

AnimalsBreast NeoplasmsCell Line, TumorFemaleHumansIn Situ HybridizationMiceMice, KnockoutMicroRNAsNeoplasm ProteinsPrognosisReproducibility of ResultsTissue Array AnalysisMicroRNAsMIR221, humanNeoplasm Proteins

Identifiers

PMID22482439
PMCPMC3891915
OpenAlexW1989994562

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.