Evidence map›Paper›PMID 23573364›Full record

ArticleAmerican journal of translational research2013

Comprehensive molecular oncogenomic profiling and miRNA analysis of prostate cancer.

Seema Sethi, Dejuan Kong, Sue Land, Gregory Dyson, Wael A Sakr, Fazlul H Sarkar

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.4field-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.

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

23 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
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  4. Article
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  7. A novel tumor suppressing gene,Oncology letters · 2020
    Article
  8. Review
  9. Article
  10. Article
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  12. Article
  13. Article
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  17. MicroRNA in pancreatic ductal adenocarcinoma and its precursor lesions.World journal of gastrointestinal oncology · 2016
    Review
  18. Article
  19. Review
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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

6 authors at 1 institution in 1 country.

Seema SethiDepartments of Pathology & Oncology, and division of Statistics, Karmanos Cancer Institute, Wayne State University School of Medicine and Detroit Medical Center Detroit, MI.
Dejuan Kong
Sue Land
Gregory Dyson
Wael A Sakr
Fazlul H Sarkar
The Barbara Ann Karmanos Cancer Institute · US

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI PAUL M STEMMER · 1985 to 2026
$68.4M
NCI NIH HHS P30 CA022453
6 · The paper itself

Abstract

This study was focused on molecular profiling of prostate cancer (PCa) using scant amounts of both frozen and formalin-fixed paraffin-embedded (FFPE) PCa tissue specimens. DNA and RNA were extracted and interrogated for: (1) whole-genome gene expression profiling, (2) miRNA expression analysis, (3) SNP analysis, and (4) mutation analysis. Data was statistically analyzed and correlated with clinical and pathologic variables. Expression profiling of 47,224 genes revealed 74 genes that were significant in predicting high tumor grade in PCa (p<0.0001). These were involved in many cellular processes as analyzed by Ingenuity Pathway Analysis (IPA). Using novel high throughput technologies, we identified a specific oncogenomic and miRNA signatures showing loss of miR-34 expression. Interestingly, p53 was at the center hub of the signaling pathways, and the loss of miR-34a expression was consistent with the central role of p53 in PCa. Analysis of 731,442 SNP's, revealed 638 SNP's that were significant in predicting high tumor grade (p<0.0001; logistic regression analysis). We also found, for the first time, a novel hot spot mutation in MET oncogene, variant T992I, suggesting that our findings would be useful in further defining the role of specific regulatory genes and miRNAs in the pathological evolution of PCa, and could also have potential clinical utility in improving diagnostic accuracy, refining prognostic and predictive capabilities and may serve as therapeutic targets.

Indexed as

miRNAMolecularoncogenomicprofilingprostate cancer

Identifiers

PMID23573364
PMCPMC3612515
OpenAlexW174753961

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.