Evidence map›Paper›PMID 26356020›Full record

ArticleIEEE/ACM transactions on computational biology and bioinformatics

Outlier Analysis and Top Scoring Pair for Integrated Data Analysis and Biomarker Discovery.

Michael F Ochs, Jason E Farrar, Michael Considine, Yingying Wei, Soheil Meshinchi, Robert J Arceci

Abstract read
In one paragraph

Article in IEEE/ACM transactions on computational biology and bioinformatics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Data analysis methods for defining biomarkers from omics data.Analytical and bioanalytical chemistry · 2022
    Review
  6. Article
  7. Functional characterization of alternatively spliced GSN in head and neck squamous cell carcinoma.Translational research : the journal of laboratory and clinical medicine · 2018
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. 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 5 institutions in 2 countries.

Michael F Ochs
Jason E Farrar
Michael Considine
Yingying Wei
Soheil Meshinchi
Robert J Arceci
Johns Hopkins University · USBoston Children's Hospital · USCollege of New Jersey · USFred Hutch Cancer Center · USUniversity of Arkansas for Medical Sciences · US

Funding

Pediatric Pilot/Phase I Consortium - Foreign AccrualU01CA097452 · NCI · NATIONAL CHILDHOOD CANCER FOUNDATION · PI BLANEY, SUSAN M. · 2002 to 2011
$28.2M
Pediatric Phase 1/Pilot ConsortiumUM1CA097452 · NCI · CHILDREN'S HOSP OF PHILADELPHIA · PI WEIGEL, BRENDA J. · 2009 to 2018
$17.7M
Integrative Pathway Analysis of Eqigenomic/transcriptional Alteration in HNSCCRC1DE020324 · NIDCR · JOHNS HOPKINS UNIVERSITY · PI CALIFANO, JOSEPH A · 2009 to 2010
$918k
Modeling Transcriptional Reprogramming by Markov Chain Monte Carlo SamplingR01LM011000 · NLM · JOHNS HOPKINS UNIVERSITY · PI OCHS, MICHAEL F · 2012 to 2014
$886k
NCI NIH HHS U01 CA097452NCI NIH HHS UM1 CA097452NIDCR NIH HHS RC1 DE020324NIDCR NIH HHS RC1DE020324NLM NIH HHS R01 LM011000NLM NIH HHS R01LM011000
6 · The paper itself

Abstract

Pathway deregulation has been identified as a key driver of carcinogenesis, with proteins in signaling pathways serving as primary targets for drug development. Deregulation can be driven by a number of molecular events, including gene mutation, epigenetic changes in gene promoters, overexpression, and gene amplifications or deletions. We demonstrate a novel approach that identifies pathways of interest by integrating outlier analysis within and across molecular data types with gene set analysis. We use the results to seed the top-scoring pair algorithm to identify robust biomarkers associated with pathway deregulation. We demonstrate this methodology on pediatric acute myeloid leukemia (AML) data. We develop a biomarker in primary AML tumors, demonstrate robustness with an independent primary tumor data set, and show that the identified biomarkers also function well in relapsed pediatric AML tumors.

Indexed as

AlgorithmsBiomarkers, TumorChildGene Expression ProfilingGenomicsHumansLeukemia, MyeloidMethylationModels, StatisticalSignal TransductionBiomarkers, Tumor

Identifiers

PMID26356020
PMCPMC4156935
OpenAlexW1965704426

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.