Evidence map›Paper›PMID 27943637›Full record

ArticleProteomics. Clinical applications2017

Quantitative proteomic profiling of paired cancerous and normal colon epithelial cells isolated freshly from colorectal cancer patients.

Chengjian Tu, Wilfrido Mojica, Robert M Straubinger, Jun Li, Shichen Shen, Miao Qu, Lei Nie, Rick Roberts, Bo An, Jun Qu

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Proteomics. Clinical applications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. 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

10 authors at 2 institutions in 2 countries.

Chengjian TuDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
Wilfrido MojicaDepartment of Pathology, State University of New York at Buffalo-State, University of New York, Buffalo, NY, USA.
Robert M StraubingerDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
Jun LiDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
Shichen ShenDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
Miao QuDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
Lei NieSchool of Pharmaceutical Sciences, Shandong University, Jinan, China.
Rick RobertsDepartment of Structural Biology, State University of New York at Buffalo, , State University of New York, Buffalo, NY, USA.
Bo AnDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
Jun QuDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
University at Buffalo, State University of New York · USShandong University · CN

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
Systems Biology of GlycosylationR01HL103411 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI NEELAMEGHAM, SRIRAM · 2011 to 2025
$7.1M
Synergistic Pharmacologicjntervention for Prevention of ROP (SPIPROP STUDY)U54HD071594 · NICHD · SUNY DOWNSTATE MEDICAL CENTER · PI QU, JUN · 2011 to 2015
$3.6M
Peripheral biomarkers of cocaine dependence and relapseR21DA027528 · NIDA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI QU, JUN, STRAUBINGER, ROBERT M · 2009 to 2010
$631k
Identification of Colon Cancer Protein Biomarkers in the BloodR03CA139562 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MOJICA, WILFRIDO DIOKNO · 2009 to 2010
$159k
NCATS NIH HHS UL1 TR001412NCI NIH HHS R03 CA139562NHLBI NIH HHS R01 HL103411NICHD NIH HHS U54 HD071594NIDA NIH HHS R21 DA027528
6 · The paper itself

Abstract

purposeThe heterogeneous structure in tumor tissues from colorectal cancer (CRC) patients excludes an informative comparison between tumors and adjacent normal tissues. Here, we develop and apply a strategy to compare paired cancerous (CEC) versus normal (NEC) epithelial cells enriched from patients and discover potential biomarkers and therapeutic targets for CRC. EXPERIMENTAL

designCEC and NEC cells are respectively isolated from five different tumor and normal locations in the resected colon tissue from each patient (N = 12 patients) using an optimized epithelial cell adhesion molecule (EpCAM)-based enrichment approach. An ion current-based quantitative method is employed to perform comparative proteomic analysis for each patient.

resultsA total of 458 altered proteins that are common among >75% of patients are observed and selected for further investigation. Besides known findings such as deregulation of mitochondrial function, tricarboxylic acid cycle, and RNA post-transcriptional modification, functional analysis further revealed RAN signaling pathway, small nucleolar ribonucleoproteins (snoRNPs), and infection by RNA viruses are altered in CEC cells. A selection of the altered proteins of interest is validated by immunohistochemistry analyses. CONCLUSION AND CLINICAL RELEVANCE: The informative comparison between matched CEC and NEC enhances our understanding of molecular mechanisms of CRC development and provides biomarker candidates and new pathways for therapeutic intervention.

Indexed as

ProteomicsAgedAged, 80 and overColonColorectal NeoplasmsEpithelial CellsFalse Positive ReactionsFemaleGene Expression ProfilingHumansMaleMiddle AgedMolecular Sequence AnnotationBiomarker discoveryColorectal cancerIon current-based analysisTumor cell enrichment

Identifiers

PMID27943637
PMCPMC5418098
OpenAlexW2565224423

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.