Evidence map›Paper›PMID 35923921›Full record

ArticleTherapeutic advances in medical oncology2022

Next-generation sequencing, should I use anti-HER2 therapy for

Doah Cho, Sarah J Lord, John Simes, Wendy Cooper, Michael Friedlander, Susie Bae, Chee Khoon Lee

Abstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Doah ChoNational Health and Medical Research Council Clinical Trials Centre, University of Sydney, Locked Bag 77, Camperdown, NSW 1450, Australia.ORCID https://orcid.org/0000-0002-8045-0751
Sarah J LordNational Health and Medical Research Council Clinical Trials Centre, University of Sydney, Camperdown, NSW, Australia.ORCID https://orcid.org/0000-0003-2763-5949
John SimesNational Health and Medical Research Council Clinical Trials Centre, University of Sydney, Camperdown, NSW, Australia.
Wendy CooperDepartment of Tissue Pathology and Diagnostic Oncology, NSW Health Pathology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
Michael FriedlanderPrince of Wales Clinical School, University of New South Wales, Sydney, NSW, Australia.
Susie BaeDepartment of Oncology, Eastern Health, Box Hill, VIC, Australia.
Chee Khoon LeeNational Health and Medical Research Council Clinical Trials Centre, University of Sydney, Camperdown, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Next-generation sequencing is used to increase targeted treatment opportunities, particularly for patients who have exhausted standard options. Where randomized controlled trial evidence for a targeted therapy is available for molecular alterations in one tumor type, the dilemma for the clinician is whether 'matching' targeted agents should be recommended off-label for the same molecular alterations detected in other tumor types, for which no trial data are available to guide practice. To judge the likely benefits, it may be possible to extrapolate evidence from cancers where treatment benefits have been established. Methods: We present a framework for assessing the appropriateness of extrapolation using trastuzumab, an anti-HER2 antibody, for Results: The following should be considered for the tumor type where trastuzumab would be off-label: (a) reliability of the NGS assay for detecting Conclusion: We present a systematic approach for appraising evidence to support extrapolating trastuzumab benefits from established indications to off-label applications. Extrapolation criteria and areas of uncertainty to inform SDM are outlined. This framework is potentially generalizable to other tumor-agnostic biomarker-targeted therapy scenarios. It is a practical approach for clinicians to apply in routine practice and should be considered by molecular tumor boards who make off-label recommendations.

Indexed as

gene expression profilingHER2-targeted therapymolecular testingpredictive biomarkertargeted therapytumor biology

Identifiers

PMID35923921
PMCPMC9340898

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Registered trials

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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.