Evidence map›Paper›PMID 23949426›Full record

ReviewNature reviews. Cancer2013

Targeting the ERBB family in cancer: couples therapy.

Niall Tebbutt, Mikkel W Pedersen, Terrance G Johns

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 246 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
246citing papers in PubMed, 1 pooled it
17.4field-weighted citation impact, top 1% 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

246 citing papers in PubMed, 1 synthesis or guideline pooled it, 467 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Review
  6. Article
  7. Article
  8. Advances in Targeting HER2 across Cancer Subtypes: A Pan-Tumor Approach.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. A CMTM6 Nanobody Overcomes EGFR-TKI Resistance in Non-Small Cell Lung Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  17. Review
  18. Article
  19. Review
  20. Review

186 more citing papers are in PubMed but not listed here.

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 2 institutions in 2 countries.

Niall TebbuttLudwig Oncology Unit, Austin Health, Studley Road, Heidelberg, Victoria 3084, Australia.
Mikkel W Pedersen
Terrance G Johns
Monash Institute of Medical Research · AUSymphogen (Denmark) · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ERBB family of receptor tyrosine kinases has a central role in the tumorigenesis of many types of solid tumour. Various therapeutics targeting these receptors have been approved for the treatment of several cancers. Considerable preclinical data have shown that the administration of two inhibitors against an individual ERBB family member--particularly epidermal growth factor receptor (EGFR) or ERBB2--leads to markedly higher antitumour activity than the administration of single agents. This Opinion article describes the preclinical and clinical performance of these dual-targeting approaches, discusses the key mechanisms that mediate their increased efficacy and highlights areas for ongoing investigation.

Indexed as

Antibodies, MonoclonalAntineoplastic Combined Chemotherapy ProtocolsDrug Resistance, NeoplasmErb-b2 Receptor Tyrosine KinasesErbB ReceptorsHumansNeoplasmsProtein Kinase InhibitorsAntibodies, MonoclonalErb-b2 Receptor Tyrosine KinasesErbB ReceptorsProtein Kinase Inhibitors

Identifiers

PMID23949426
OpenAlexW2005202092

What OpenQuestion holds

Textmetadata
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.