Next-generation sequencing, should I use anti-HER2 therapy for HER2-amplified tumors off-label? Illustrating an
Doah Cho1, Sarah J Lord2, John Simes2
1National Health and Medical Research Council Clinical Trials Centre, University of Sydney, Locked Bag 77, Camperdown, NSW 1450, Australia.
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 HER2-amplified tumors where trastuzumab use would be off-label as an illustrative example.
Results:
The following should be considered for the tumor type where trastuzumab would be off-label: (a) reliability of the NGS assay for detecting HER2 amplification; (b) criteria for defining HER2 positivity; (c) strength of evidence supporting the actionability of HER2 amplification and trastuzumab; (d) whether better clinical outcomes with trastuzumab are due to a more favorable natural history rather than trastuzumab effect; (e) signals of trastuzumab activity and whether it translates to clinically meaningful benefit; (f) whether the safety profile of trastuzumab differs from established indications; and (g) discussion points for shared decision making (SDM) to facilitate informed consent.
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.
Insights
Clinicians can use a new framework to decide if targeted therapies like trastuzumab are appropriate for new cancer types. This approach helps determine if evidence from one cancer can guide treatment for another, improving off-label drug use.
Area of Science:
- Oncology
- Genomics
- Pharmacology
Background:
- Next-generation sequencing (NGS) expands targeted treatment options for patients with limited standard therapies.
- Clinicians face challenges in deciding whether to use targeted agents off-label for molecular alterations in different tumor types.
- Extrapolating evidence from established indications may guide off-label targeted therapy use.
Purpose of the Study:
- To present a framework for assessing the appropriateness of extrapolating targeted therapy benefits.
- To use trastuzumab for HER2-amplified tumors as an illustrative example for off-label use.
- To guide clinicians in making informed decisions about off-label targeted therapies.
Main Methods:
- Developed a framework to evaluate evidence for extrapolating targeted therapy benefits.
- Utilized trastuzumab (anti-HER2 antibody) for HER2-amplified tumors as a case study.
- Outlined criteria for assessing off-label use, including assay reliability, HER2 positivity criteria, and evidence strength.
Main Results:
- Identified key considerations for off-label trastuzumab use in HER2-amplified tumors.
- Included assessment of NGS reliability, HER2 positivity criteria, and actionability of HER2 amplification.
- Highlighted the need to evaluate clinical outcomes, safety profiles, and shared decision-making (SDM).
Conclusions:
- A systematic approach is presented for appraising evidence to support extrapolating trastuzumab benefits.
- The framework provides criteria and identifies uncertainties for SDM in off-label therapy.
- This approach is generalizable to other tumor-agnostic biomarker-targeted therapies and aids molecular tumor boards.
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