Evidence map›Paper›PMID 35503682›Full record

ArticleCancer research2023

Computational and Functional Analyses of HER2 Mutations Reveal Allosteric Activation Mechanisms and Altered Pharmacologic Effects.

Noboru Ishiyama, Matthew O'Connor, Andrei Salomatov, Darlene Romashko, Shalabh Thakur, Ahmet Mentes, Julia F Hopkins, Garrett M Frampton, Lee A Albacker, Anna Kohlmann and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
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

12 authors at 3 institutions in 1 country.

Noboru IshiyamaBlack Diamond Therapeutics, Inc., New York, New York.
Matthew O'ConnorBlack Diamond Therapeutics, Inc., New York, New York.
Andrei SalomatovBlack Diamond Therapeutics, Inc., New York, New York.
Darlene RomashkoBlack Diamond Therapeutics, Inc., New York, New York.
Shalabh ThakurBlack Diamond Therapeutics, Inc., New York, New York.ORCID 0000-0002-0252-4436
Ahmet MentesBlack Diamond Therapeutics, Inc., New York, New York.
Julia F HopkinsFoundation Medicine, Inc., Cambridge, Massachusetts.
Garrett M FramptonFoundation Medicine, Inc., Cambridge, Massachusetts.ORCID 0000-0002-2361-2750
Lee A AlbackerFoundation Medicine, Inc., Cambridge, Massachusetts.ORCID 0000-0002-5070-1783
Anna KohlmannBlack Diamond Therapeutics, Inc., New York, New York.ORCID 0000-0003-1303-654X
Christopher RobertsBlack Diamond Therapeutics, Inc., New York, New York.
Elizabeth BuckBlack Diamond Therapeutics, Inc., New York, New York.ORCID 0000-0002-6022-1871
Diamond Materials (United States) · USGlobalFoundries (United States) · USBlackstone (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amplification of HER2 can drive the proliferation of cancer cells, and several inhibitors of HER2 have been successfully developed. Recent advances in next-generation sequencing now reveal that HER2 is subject to mutation, with over 2,000 unique variants observed in human cancers. Several examples of oncogenic HER2 mutations have been described, and these primarily occur at allosteric sites outside the ATP-binding site. To identify the full spectrum of oncogenic HER2 driver mutations aside from a few well-studied mutations, we developed mutation-allostery-pharmacology (MAP), an in silico prediction algorithm based on machine learning. By applying this computational approach to 820 single-nucleotide variants, a list of 222 known and potential driver mutations was produced. Of these 222 mutations, 111 were screened by Ba/F3-retrovirus proliferation assays; 37 HER2 mutations were experimentally determined to be driver mutations, comprising 15 previously characterized and 22 newly identified oncogenic mutations. These oncogenic mutations mostly affected allosteric sites in the extracellular domain (ECD), transmembrane domain, and kinase domain of HER2, with only a single mutation in the HER2 orthosteric ATP site. Covalent homodimerization was established as a common mechanism of activation among HER2 ECD allosteric mutations, including the most prevalent HER2 mutation, S310F. Furthermore, HER2 allosteric mutants with enhanced covalent homodimerization were characterized by altered pharmacology that reduces the activity of existing anti-HER2 agents, including the mAb trastuzumab and the tyrosine kinase inhibitor lapatinib. Overall, the MAP-scoring and functional validation analyses provided new insights into the oncogenic activity and therapeutic targeting of HER2 mutations in cancer. SIGNIFICANCE: This study identified new oncogenic HER2 allosteric mutations, including ECD mutations that share covalent dimerization as a mechanism of oncogenicity, suggesting the need for novel inhibitors to treat HER2-mutant cancers.

Indexed as

Erb-b2 Receptor Tyrosine KinasesNeoplasmsAdenosine TriphosphateAllosteric RegulationHumansMutationProtein Kinase InhibitorsQuinazolinesAdenosine TriphosphateErb-b2 Receptor Tyrosine KinasesProtein Kinase InhibitorsQuinazolines

Identifiers

PMID35503682
PMCPMC10152233
OpenAlexW4225394197

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.