Evidence map›Paper›PMID 24195083›Full record

ArticleBioMed research international2013

The human cell surfaceome of breast tumors.

Júlia Pinheiro Chagas da Cunha, Pedro Alexandre Favoretto Galante, Jorge Estefano Santana de Souza, Martin Pieprzyk, Dirce Maria Carraro, Lloyd J Old, Anamaria Aranha Camargo, Sandro José de Souza

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 5 institutions in 2 countries.

Júlia Pinheiro Chagas da CunhaLudwig Institute for Cancer Research, São Paulo 01308-050, SP, Brazil ; Center for Applied Toxinology, Butantan Institute, São Paulo 05503-900, SP, Brazil.
Pedro Alexandre Favoretto Galante
Jorge Estefano Santana de Souza
Martin Pieprzyk
Dirce Maria Carraro
Lloyd J Old
Anamaria Aranha Camargo
Sandro José de Souza
Instituto Paulo Gontijo · BRAC Camargo Hospital · BRFluidigm (United States) · USLudwig Cancer Research · USUniversidade Federal do Rio Grande do Norte · BR

Funding

Global Health Informatics for Cancer ResearchD43TW007015 · FIC · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OHNO-MACHADO, LUCILA · 2004 to 2013
$2.2M
FIC NIH HHS 5D43TW007015-02FIC NIH HHS D43 TW007015
6 · The paper itself

Abstract

introductionCell surface proteins are ideal targets for cancer therapy and diagnosis. We have identified a set of more than 3700 genes that code for transmembrane proteins believed to be at human cell surface.

methodsWe used a high-throuput qPCR system for the analysis of 573 cell surface protein-coding genes in 12 primary breast tumors, 8 breast cell lines, and 21 normal human tissues including breast. To better understand the role of these genes in breast tumors, we used a series of bioinformatics strategies to integrates different type, of the datasets, such as KEGG, protein-protein interaction databases, ONCOMINE, and data from, literature.

resultsWe found that at least 77 genes are overexpressed in breast primary tumors while at least 2 of them have also a restricted expression pattern in normal tissues. We found common signaling pathways that may be regulated in breast tumors through the overexpression of these cell surface protein-coding genes. Furthermore, a comparison was made between the genes found in this report and other genes associated with features clinically relevant for breast tumorigenesis.

conclusionsThe expression profiling generated in this study, together with an integrative bioinformatics analysis, allowed us to identify putative targets for breast tumors.

Indexed as

Biomarkers, TumorBreast NeoplasmsCell Line, TumorComputational BiologyFemaleGene Expression ProfilingHumansMembrane ProteinsNeoplasm ProteinsSignal TransductionBiomarkers, TumorMembrane ProteinsNeoplasm Proteins

Identifiers

PMID24195083
PMCPMC3781997
OpenAlexW2163830011

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.