Evidence map›Paper›PMID 26860878›Full record

ArticleJournal of proteome research2016

A Description of the Clinical Proteomic Tumor Analysis Consortium (CPTAC) Common Data Analysis Pipeline.

Paul A Rudnick, Sanford P Markey, Jeri Roth, Yuri Mirokhin, Xinjian Yan, Dmitrii V Tchekhovskoi, Nathan J Edwards, Ratna R Thangudu, Karen A Ketchum, Christopher R Kinsinger and 3 more

Abstract read
In one paragraph

Article in Journal of proteome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed
–field-weighted citation impact
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

96 citing papers in PubMed.

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36 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

13 authors.

Paul A RudnickSpectragen Informatics, Bainbridge Island, Washington 98110, United States.
Sanford P MarkeyBiomolecular Measurement Division, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.
Jeri RothBiomolecular Measurement Division, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.
Yuri MirokhinBiomolecular Measurement Division, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.
Xinjian YanBiomolecular Measurement Division, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.
Dmitrii V TchekhovskoiBiomolecular Measurement Division, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.
Nathan J EdwardsDepartment of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center , Washington, D.C. 20007, United States.
Ratna R ThanguduESAC, Inc., Rockville, Maryland 20850, United States.
Karen A KetchumESAC, Inc., Rockville, Maryland 20850, United States.
Christopher R KinsingerOffice of Cancer Clinical Proteomics Research, National Cancer Institute , Bethesda, Maryland 20892, United States.
Mehdi MesriOffice of Cancer Clinical Proteomics Research, National Cancer Institute , Bethesda, Maryland 20892, United States.
Henry RodriguezOffice of Cancer Clinical Proteomics Research, National Cancer Institute , Bethesda, Maryland 20892, United States.
Stephen E SteinBiomolecular Measurement Division, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.

Funding

CCR NIH HHS HHSN261200800001CIntramural NIST DOC 9999-NISTNCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

The Clinical Proteomic Tumor Analysis Consortium (CPTAC) has produced large proteomics data sets from the mass spectrometric interrogation of tumor samples previously analyzed by The Cancer Genome Atlas (TCGA) program. The availability of the genomic and proteomic data is enabling proteogenomic study for both reference (i.e., contained in major sequence databases) and nonreference markers of cancer. The CPTAC laboratories have focused on colon, breast, and ovarian tissues in the first round of analyses; spectra from these data sets were produced from 2D liquid chromatography-tandem mass spectrometry analyses and represent deep coverage. To reduce the variability introduced by disparate data analysis platforms (e.g., software packages, versions, parameters, sequence databases, etc.), the CPTAC Common Data Analysis Platform (CDAP) was created. The CDAP produces both peptide-spectrum-match (PSM) reports and gene-level reports. The pipeline processes raw mass spectrometry data according to the following: (1) peak-picking and quantitative data extraction, (2) database searching, (3) gene-based protein parsimony, and (4) false-discovery rate-based filtering. The pipeline also produces localization scores for the phosphopeptide enrichment studies using the PhosphoRS program. Quantitative information for each of the data sets is specific to the sample processing, with PSM and protein reports containing the spectrum-level or gene-level ("rolled-up") precursor peak areas and spectral counts for label-free or reporter ion log-ratios for 4plex iTRAQ. The reports are available in simple tab-delimited formats and, for the PSM-reports, in mzIdentML. The goal of the CDAP is to provide standard, uniform reports for all of the CPTAC data to enable comparisons between different samples and cancer types as well as across the major omics fields.

Indexed as

ProteomicsBiomarkers, TumorHumansNeoplasmsProteomeBiomarkers, TumorProteomebioinformaticscancerCPTACdata analysis pipelineproteomics data resource

Identifiers

PMID26860878
PMCPMC5117628

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Registered trials

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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.