Evidence map›Paper›PMID 18314063›Full record

ReviewSeminars in radiation oncology2008

Tissue microarrays in clinical oncology.

David Voduc, Challayne Kenney, Torsten O Nielsen

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Seminars in radiation oncology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02810405 (Collection of Tissue Blocks or Slides From Patients With Cancer), which is not on this map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
5.5field-weighted citation impact, top 3% 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.

NCT02810405 completednot on this mapstarted 2011, after this paper: background citation

Collection of Tissue Blocks or Slides From Patients With Cancer

TypeobservationalSponsorNational Cancer Institute (NCI)Ran2011 to 2024Enrolled191ConditionsTumor, Carcinogens, Neoplasm, Benign, Benign Neoplasms
3 · Its place in the literature

Who cites it

52 citing papers in PubMed, 141 citations in OpenAlex.

  1. MRE11 as a Predictive Biomarker of Outcome After Radiation Therapy in Bladder Cancer.International journal of radiation oncology, biology, physics · 2019
    Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

3 authors at 3 institutions in 1 country.

David VoducDepartment of Radiation Oncology, British Columbia Cancer Agency, Vancouver, British Columbia, Canada. dvoduc@bccancer.bc.ca
Challayne Kenney
Torsten O Nielsen
BC Cancer Agency · CACentre for Advancing Health Outcomes · CAUniversity of British Columbia · CA

Funding

Biological Breast Cancer Classification by qRT-PCRU01CA114722 · NCI · WASHINGTON UNIVERSITY · PI ELLIS, MATTHEW J · 2005 to 2009
$8.7M
NCI NIH HHS U01 CA114722
6 · The paper itself

Abstract

Tissue microarray (TMA) is a recently implemented, high-throughput technology for the analysis of molecular markers in oncology. This research tool permits the rapid assessment of a biomarker in thousands of tumor samples, using commonly available laboratory assays such as immunohistochemistry and in situ hybridization. Although introduced less than a decade ago, TMA has proven to be invaluable in the study of tumor biology, the development of diagnostic tests, and the investigation of oncologic biomarkers. This review describes the impact of TMA-based research in clinical oncology and its potential future applications. Technical aspects of TMA construction and the advantages and disadvantages inherent to this technology are also discussed.

Indexed as

Genetic MarkersHumansImmunohistochemistryIn Situ Hybridization, FluorescenceNeoplasm ProteinsNeoplasmsOligonucleotide Array Sequence AnalysisPredictive Value of TestsReproducibility of ResultsGenetic MarkersNeoplasm Proteins

Identifiers

PMID18314063
PMCPMC2292098
OpenAlexW2056264529

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.