Evidence map›Paper›PMID 25564668›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Examination of HER3 targeting in cancer using monoclonal antibodies.

Nadège Gaborit, Ali Abdul-Hai, Maicol Mancini, Moshit Lindzen, Sara Lavi, Orith Leitner, Lucile Mounier, Myriam Chentouf, Sai Dunoyer, Manjusha Ghosh and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
3.4field-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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. HER3 in cancer: from the bench to the bedside.Journal of experimental & clinical cancer research : CR · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Thirty Years of HER3: From Basic Biology to Therapeutic Interventions.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Review
  11. Review
  12. Tackling Drug Resistance in EGFR Exon 20 Insertion Mutant Lung Cancer.Pharmacogenomics and personalized medicine · 2021
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Anticancer therapeutics: a brief account on wide refinements.American journal of cancer research · 2020
    Review
  18. Article
  19. Review
  20. Article
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

16 authors at 5 institutions in 2 countries.

Nadège GaboritDepartments of Biological Regulation.
Ali Abdul-HaiDepartments of Biological Regulation, Department of Internal Medicine, Kaplan Medical Center, Rehovot 76100, Israel.
Maicol ManciniDepartments of Biological Regulation.
Moshit LindzenDepartments of Biological Regulation.
Sara LaviDepartments of Biological Regulation.
Orith LeitnerBiological Services, Weizmann Institute of Science, Rehovot 76100, Israel.
Lucile MounierCisbio Bioassays, Innovation Management, Parc Marcel Boiteux, 30200 Codolet, France; and.
Myriam ChentoufInstitut de Recherche en Cancérologie de Montpellier, INSERM, U896, Montpellier, France;
Sai DunoyerDepartments of Biological Regulation.
Manjusha GhoshDepartments of Biological Regulation.
Christel LarbouretInstitut de Recherche en Cancérologie de Montpellier, INSERM, U896, Montpellier, France;
Thierry ChardèsInstitut de Recherche en Cancérologie de Montpellier, INSERM, U896, Montpellier, France;
Hervé BazinCisbio Bioassays, Innovation Management, Parc Marcel Boiteux, 30200 Codolet, France; and.
André PèlegrinInstitut de Recherche en Cancérologie de Montpellier, INSERM, U896, Montpellier, France;
Michael SelaImmunology, and yosef.yarden@weizmann.ac.il michael.sela@weizmann.ac.il.
Yosef YardenDepartments of Biological Regulation, yosef.yarden@weizmann.ac.il michael.sela@weizmann.ac.il.
Cisbio (France) · FRInserm · FRInstitut de Recherche en Cancérologie de Montpellier · FRKaplan Medical Center · ILWeizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human EGF receptor (HER/EGFR) family of receptor tyrosine kinases serves as a key target for cancer therapy. Specifically, EGFR and HER2 have been repeatedly targeted because of their genetic aberrations in tumors. The therapeutic potential of targeting HER3 has long been underestimated, due to relatively low expression in tumors and impaired kinase activity. Nevertheless, in addition to serving as a dimerization partner of EGFR and HER2, HER3 acts as a key player in tumor cells' ability to acquire resistance to cancer drugs. In this study, we generated several monoclonal antibodies to HER3. Comparisons of their ability to degrade HER3, decrease downstream signaling, and inhibit growth of cultured cells, as well as recruit immune effector cells, selected an antibody that later emerged as the most potent inhibitor of pancreatic cancer cells grown as tumors in animals. Our data predict that anti-HER3 antibodies able to intercept autocrine and stroma-tumor interactions might strongly inhibit tumor growth, in analogy to the mechanism of action of anti-EGFR antibodies routinely used now to treat colorectal cancer patients.

Indexed as

Antibodies, MonoclonalCell Line, TumorDrug Delivery SystemsHumansReceptor, ErbB-3Antibodies, MonoclonalERBB3 protein, humanReceptor, ErbB-3antibody combinationcancer therapyHER3signal transductiontyrosine kinase

Identifiers

PMID25564668
PMCPMC4311849
OpenAlexW2090355944

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.