Evidence map›Paper›PMID 28417948›Full record

ReviewCancers2017

ErbB Family Signalling: A Paradigm for Oncogene Addiction and Personalized Oncology.

Nico Jacobi, Rita Seeboeck, Elisabeth Hofmann, Andreas Eger

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

22 citing papers in PubMed, 35 citations in OpenAlex.

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  14. The Role of EREG/EGFR Pathway in Tumor Progression.International journal of molecular sciences · 2021
    Review
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  19. [Research advances in the role of aptamers in the diagnosis and targeted therapy of pediatric cancer].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2018
    Review
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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

4 authors at 1 institution in 1 country.

Nico JacobiResearch Institute for Applied Bioanalytics and Drug Development, IMC University of Applied Sciences Krems, Krems an der Donau 3500, Austria. nico.jacobi@fh-krems.ac.at.
Rita SeeboeckInstitute of Medical and Pharmaceutical Biotechnology, IMC University of Applied Sciences Krems, Krems an der Donau 3500, Austria. rita.seeboeck@fh-krems.ac.at.
Elisabeth HofmannInstitute of Medical and Pharmaceutical Biotechnology, IMC University of Applied Sciences Krems, Krems an der Donau 3500, Austria. elisabeth.hofmann@fh-krems.ac.at.
Andreas EgerResearch Institute for Applied Bioanalytics and Drug Development, IMC University of Applied Sciences Krems, Krems an der Donau 3500, Austria. andreas.eger@fh-krems.ac.at.
IMC University of Applied Sciences Krems · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ErbB family members represent important biomarkers and drug targets for modern precision therapy. They have gained considerable importance as paradigms for oncoprotein addiction and personalized medicine. This review summarizes the current understanding of ErbB proteins in cell signalling and cancer and describes the molecular rationale of prominent cases of ErbB oncoprotein addiction in different cancer types. In addition, we have highlighted experimental technologies for the development of innovative cancer cell models that accurately predicted clinical ErbB drug efficacies. In the future, such cancer models might facilitate the identification and validation of physiologically relevant novel forms of oncoprotein and non-oncoprotein addiction or synthetic lethality. The identification of genotype-drug response relationships will further advance personalized oncology and improve drug efficacy in the clinic. Finally, we review the most important drugs targeting ErbB family members that are under investigation in clinical trials or that made their way already into clinical routine. Taken together, the functional characterization of ErbB oncoproteins have significantly increased our knowledge on predictive biomarkers, oncoprotein addiction and patient stratification and treatment.

Indexed as

3D cell culturedrug discoveryErbB familyoncogene addictionpersonalized medicineprecision therapysynthetic lethalitytumour modeling

Identifiers

PMID28417948
PMCPMC5406708
OpenAlexW2605572939

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.