Evidence map›Paper›PMID 20850557›Full record

ReviewSeminars in cell & developmental biology2010

Targeting erbB receptors.

Zheng Cai, Hongtao Zhang, Jing Liu, Alan Berezov, Ramachandran Murali, Qiang Wang, Mark I Greene

Abstract readReview
In one paragraph

Review in Seminars in cell & developmental biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
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  15. EGFs and ERBBs--brief history and prospects.Seminars in cell & developmental biology · 2010
    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

7 authors at 4 institutions in 2 countries.

Zheng CaiDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104-6082, USA.
Hongtao Zhang
Jing Liu
Alan Berezov
Ramachandran Murali
Qiang Wang
Mark I Greene
University of Pennsylvania · USCedars-Sinai Medical Center · USCancer Research Institute · USUniversity of Science and Technology of China · CN

Funding

IMMUNOBIOLOGY OF P185 RECEPTORR01CA055306 · NCI · UNIVERSITY OF PENNSYLVANIA · PI GREENE, MARK I · 1992 to 2011
$2.6M
NCI NIH HHS R01 CA055306
6 · The paper itself

Abstract

Our work is concerned with the origins and therapy of human cancers. Members of the epidermal growth factor receptor (EGFR) family of tyrosine kinases, also known as erbB or HER receptors, are over expressed and/or activated in many types of human tumors and represent important therapeutic targets in cancer therapy. Studies from our laboratory identified targeted therapy as a way to treat cancer. Rational therapeutics targeting and disabling erbB receptors have been developed to reverse the malignant properties of tumors. Reversal of the malignant phenotype, best seen with disabling the HER2 receptors using monoclonal antibodies is a distinct process from that seen with blocking of ligand binding to cognate receptors as has been done for EGFr receptors. Here we review the mechanisms of action deduced from a number of approaches developed in our laboratory and elsewhere, including monoclonal antibodies, peptide mimetics, recombinant proteins and small molecules. The biochemical and biological principles which have been uncovered during these studies of disabling HER2 homomeric or HER2-EGFr heteromeric receptors will help the development of novel and more efficient therapeutics targeting erbB family receptors.

Indexed as

Antibodies, MonoclonalErbB ReceptorsHumansNeoplasmsAntibodies, MonoclonalErbB Receptors

Identifiers

PMID20850557
PMCPMC5940346
OpenAlexW2161669850

What OpenQuestion holds

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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.