Evidence map›Paper›PMID 24802673›Full record

ReviewJournal of proteomics2014

A new class of protein cancer biomarker candidates: differentially expressed splice variants of ERBB2 (HER2/neu) and ERBB1 (EGFR) in breast cancer cell lines.

Gilbert S Omenn, Yuanfang Guan, Rajasree Menon

Abstract readReview
In one paragraph

Review in Journal of proteomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  4. Review
  5. Article
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  10. HER2/ERBB2 immunoreactivity in human retinoblastoma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
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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

3 authors at 1 institution in 1 country.

Gilbert S OmennCenter for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109-2218, USA.
Yuanfang GuanCenter for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109-2218, USA.
Rajasree MenonCenter for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109-2218, USA.
University of Michigan · US

Funding

MICHIGAN INSTITUTE FOR CLINICAL AND HEALTH RESEARCH (MICHR) (UL1): (BPCA)UL1RR024986 · NCRR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SHANLEY, THOMAS P. · 2007 to 2011
$51.2M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Replication of Human Endogenous Retroviruses in Modern HumansR01CA144043 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARKOVITZ, DAVID MICHAEL · 2009 to 2013
$6.4M
Machine Learning for Drug Response PredictionR35GM133346 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Yuanfang Guan · 2019 to 2026
$3.2M
Integrating context-specific networks to predict ataxia genesR21NS082212 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BURMEISTER, MARGIT, GUAN, YUANFANG · 2013 to 2014
$426k
NCI NIH HHS R01 CA144043NCRR NIH HHS UL1RR24986NIEHS NIH HHS P30 ES017885NIEHS NIH HHS P30U54ES017885NIGMS NIH HHS R35 GM133346NINDS NIH HHS 1R21NS082212-01NINDS NIH HHS R21 NS082212
6 · The paper itself

Abstract

Combined RNA-Seq and proteomics analyses reveal striking differential expression of splice isoforms of key proteins in important cancer pathways and networks. Even between primary tumor cell lines from histologically similar inflammatory breast cancers, we find striking differences in hormone receptor-negative cell lines that are ERBB2 (Her2/neu)-amplified versus ERBB1 (EGFR) over-expressed with low ERBB2 activity. We have related these findings to protein-protein interaction networks, signaling and metabolic pathways, and methods for predicting functional variants among multiple alternative isoforms. Understanding the upstream ligands and regulators and the downstream pathways and interaction networks for ERBB receptors is certain to be important for explanation and prediction of the variable levels of expression and therapeutic responses of ERBB+tumors in the breast and in other organ sites. Alternative splicing is a remarkable evolutionary development that increases protein diversity from multi-exonic genes without requiring expansion of the genome. It is no longer sufficient to report the up- or down-expression of genes and proteins without dissecting the complexity due to alternative splicing. This article is part of a Special Issue entitled: 20Years of Proteomics in memory of Viatliano Pallini. Guest Editors: Luca Bini , Juan J. Calvete, Natacha Turck, Denis Hochstrasser and Jean-Charles Sanchez.

Indexed as

Alternative SplicingBiomarkers, TumorBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesErbB ReceptorsGene Expression Regulation, NeoplasticCell Line, TumorFemaleHumansProtein IsoformsBiomarkers, TumorEGFR protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesErbB ReceptorsProtein IsoformsBreast cancer subtypesERBB1 (EGFR)ERBB2 (HER2/neu)Pathway analysesSplice variant proteinsSplice variant transcripts

Identifiers

PMID24802673
PMCPMC4123867
OpenAlexW2094425921

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.