Evidence map›Paper›PMID 12547710›Full record

ArticleThe American journal of pathology2003

Distinct transcriptional profiles of adrenocortical tumors uncovered by DNA microarray analysis.

Thomas J Giordano, Dafydd G Thomas, Rork Kuick, Michelle Lizyness, David E Misek, Angela L Smith, Donita Sanders, Rima T Aljundi, Paul G Gauger, Norman W Thompson and 2 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The American journal of pathology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed, 3 pooled it
15.9field-weighted citation impact, top 1% 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

134 citing papers in PubMed, 3 syntheses or guidelines pooled it, 374 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Pediatric adrenocortical carcinoma.Frontiers in endocrinology · 2022
    Review
  19. Article
  20. Review

74 more citing papers are in PubMed but not listed here.

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

12 authors at 2 institutions in 1 country.

Thomas J GiordanoDepartments of Pathology, Pediatrics, Surgery, and Biostatistics, University of Michigan Health System, Ann Arbor, Michigan 48109-0054, USA. giordano@umich.edu
Dafydd G Thomas
Rork Kuick
Michelle Lizyness
David E Misek
Angela L Smith
Donita Sanders
Rima T Aljundi
Paul G Gauger
Norman W Thompson
Jeremy M G Taylor
Samir M Hanash
Michigan Medicine · USUniversity of Michigan–Ann Arbor · US

Funding

NIDDK NIH HHS DK 58771PHS HHS 46952PHS HHS 84952
6 · The paper itself

Abstract

Comprehensive expression profiling of tumors using DNA microarrays has been used recently for molecular classification and biomarker discovery, as well as a tool to identify and investigate genes involved in tumorigenesis. Application of this approach to a cohort of benign and malignant adrenocortical tissues would be potentially informative in all of these aspects. In this study, we generated transcriptional profiles of 11 adrenocortical carcinomas (ACCs), 4 adrenocortical adenomas (ACAs), 3 normal adrenal cortices (NCs), and 1 macronodular hyperplasia (MNH) using Affymetrix HG_U95Av2 oligonucleotide arrays representing approximately 10,500 unique genes. The expression data set was used for unsupervised hierarchical cluster analysis as well as principal component analysis to visually represent the expression data. An analysis of variance on the three classes (NC, ACA plus MNH, and ACC) revealed 91 genes that displayed at least threefold differential expression between the ACC cohort and both the NC and ACA cohorts at a significance level of P < 0.01. Included in these 91 genes were those known to be up-regulated in adrenocortical tumors, such as insulin-like growth factor (IGF2), as well as novel differentially expressed genes such as osteopontin (SPP) and serine threonine kinase 15 (STK15). Increased expression of IGF2 was identified in 10 of 11 ACCs (90.9%) and was verified by quantitative reverse transcriptase-polymerase chain reaction. Select proliferation-related genes (TOP2A and Ki-67) were validated at the protein level using immunohistochemistry and adrenocortical tissue microarrays. Our results demonstrated significant and consistent gene expression changes in ACCs compared to benign adrenocortical lesions. Moreover, we identified several genes that represent potential diagnostic markers and may play a role in the pathogenesis of ACC.

Indexed as

Oligonucleotide Array Sequence AnalysisTranscription, GeneticAdenomaAdrenal CortexAdrenal Cortex NeoplasmsAdultCarcinomaFemaleGene Expression ProfilingHumansHyperplasiaInsulin-Like Growth Factor IIMaleReference ValuesReproducibility of ResultsInsulin-Like Growth Factor II

Identifiers

PMID12547710
PMCPMC1851158
OpenAlexW2098165008

What OpenQuestion holds

Textmetadata
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.