Evidence map›Paper›PMID 38911570›Full record

ReviewAnnals of translational medicine2024

Twenty-five years with HER2 targeted therapy.

Jan Trøst Jørgensen

Abstract readReview
In one paragraph

Review in Annals of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. A forgotten option: megestrol acetate's effectiveness and safety in HR+/HER2-negative metastatic breast cancer - insights from a contemporary patient cohort.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. 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

1 author.

Jan Trøst JørgensenMedical Sciences, Dx-Rx Institute, Fredensborg, Denmark.ORCID https://orcid.org/0000-0001-6255-0006

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of trastuzumab is among the most significant cancer drug development projects in the 20th century. Trastuzumab became a gamechanger for the treatment of human epidermal growth receptor 2 (HER2) positive breast cancer, with a significant positive impact on disease recurrence and survival. The development of trastuzumab was the beginning of a new era of cancer drug development, which showed us the importance of understanding the molecular pathophysiology and drug mechanism of action. The drug-diagnostic codevelopment model, in which the drug is developed in parallel with a predictive biomarker assay, has had a significant impact on today's cancer drug development, and we are indebted to trastuzumab when it comes to the clinical enrichment trial design. Trastuzumab is not the only drug developed to target the HER2 protein. Over the past few decades, several new HER2 targeted therapies have been developed, including small-molecule tyrosine kinase inhibitors (TKI), monoclonal antibodies, and antibody-drug conjugates (ADC). In particular, the ADC trastuzumab deruxtecan seems to pave new avenues when it comes to HER2 targeted treatment not only for breast cancer, but also for gastric cancer and non-small cell lung cancer. With the development of trastuzumab as a reference point, this article will provide a brief summary of the efficacy of HER2 targeted therapy, including testing for HER2 positivity, as it has evolved over the past 25 years.

Indexed as

breast cancercompanion diagnosticsgastric cancerTrastuzumabtrastuzumab deruxtecan

Identifiers

PMID38911570
PMCPMC11193558

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.