Evidence map›Paper›PMID 19147773›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2009

Molecular classification and prognostication of adrenocortical tumors by transcriptome profiling.

Thomas J Giordano, Rork Kuick, Tobias Else, Paul G Gauger, Michelle Vinco, Juliane Bauersfeld, Donita Sanders, Dafydd G Thomas, Gerard Doherty, Gary Hammer

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
181citing papers in PubMed, 2 pooled it
30.3field-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

181 citing papers in PubMed, 2 syntheses or guidelines pooled it, 393 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

121 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

10 authors at 2 institutions in 1 country.

Thomas J GiordanoDepartment of Pathology, 1150 West Medical Center Drive, MSRB-2, C570D, Ann Arbor, MI 48109-0669, USA. Giordano@umich.edu
Rork Kuick
Tobias Else
Paul G Gauger
Michelle Vinco
Juliane Bauersfeld
Donita Sanders
Dafydd G Thomas
Gerard Doherty
Gary Hammer
University of Michigan–Ann Arbor · USBiostatistical Consulting (United States) · US

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 1988 to 2026
$178.2M
NCI NIH HHS 5 P30 CA46592NCI NIH HHS P30 CA046592
6 · The paper itself

Abstract

purposeOur understanding of adrenocortical carcinoma (ACC) has improved considerably, yet many unanswered questions remain. For instance, can molecular subtypes of ACC be identified? If so, what is their underlying pathogenetic basis and do they possess clinical significance? EXPERIMENTAL

designWe did a whole genome gene expression study of a large cohort of adrenocortical tissues annotated with clinicopathologic data. Using Affymetrix Human Genome U133 Plus 2.0 oligonucleotide arrays, transcriptional profiles were generated for 10 normal adrenal cortices (NC), 22 adrenocortical adenomas (ACA), and 33 ACCs.

resultsThe overall classification of adrenocortical tumors was recapitulated using principal component analysis of the entire data set. The NC and ACA cohorts showed little intragroup variation, whereas the ACC cohort revealed much greater variation in gene expression. A robust list of 2,875 differentially expressed genes in ACC compared with both NC and ACA was generated and used in functional enrichment analysis to find pathways and attributes of biological significance. Cluster analysis of the ACCs revealed two subtypes that reflected tumor proliferation, as measured by mitotic counts and cell cycle genes. Kaplan-Meier analysis of these ACC clusters showed a significant difference in survival (P < 0.020). Multivariate Cox modeling using stage, mitotic rate, and gene expression data as measured by the first principal component for ACC samples showed that gene expression data contains significant independent prognostic information (P < 0.017).

conclusionsThis study lays the foundation for the molecular classification and prognostication of adrenocortical tumors and also provides a rich source of potential diagnostic and prognostic markers.

Indexed as

Gene Expression ProfilingAdrenal CortexAdrenal Cortex NeoplasmsCell Line, TumorCluster AnalysisCohort StudiesCyclin EGenomeHumansImmunohistochemistryOligonucleotide Array Sequence AnalysisPrognosisProportional Hazards ModelsTranscription, GeneticCyclin E

Identifiers

PMID19147773
PMCPMC2629378
OpenAlexW2138551378

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.