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Establishing Dual Resistance to EGFR-TKI and MET-TKI in Lung Adenocarcinoma Cells In Vitro with a 2-step Dose-escalation Procedure
Published on: August 11, 2017
Real-world adoption of off-label combinations for targeted therapy resistance in non-small cell lung cancer
Justin Battaglini1, Maha AlDoughaim2,3,4, Katie Li5
1Section of Hematology and Medical Oncology, Boston University School of Medicine and Boston Medical Center, 830 Harrison Ave, Moakley Suite 3200, Boston, MA, 02118, USA.
Purpose:
No targeted therapy combinations have achieved regulatory approval for the treatment of biomarker-positive resistance in non-small cell lung cancer (NSCLC). Given the widespread availability of next-generation sequencing (NGS) to detect resistance, we reviewed the real-world experience of using off-label targeted therapy combinations to treat advanced NSCLC at our academic safety-net hospital.
Methods:
Pharmacy records from the Hematology/Oncology Department at Boston Medical Center during the years 2017 to 2024 were reviewed. One hundred eleven patients received oral, targeted therapy during this time. Our study focused on those patients who received an off-label combination of targeted therapies for advanced NSCLC. We reviewed their demographics, treatment history, molecular data, and published evidence to support the combination.
Results:
Eight patients were treated with nine combination regimens. The median age was 69 years (age 29-89 years). Six patients had EGFR exon 19 deletions and two had EML4-ALK fusions. The nine combination regimens included addition of a MET inhibitor (n = 3), a RET inhibitor (n = 2), a MEK inhibitor (n = 2), an ALK inhibitor (n = 1), and an EGFR antibody (n = 1). The median duration of treatment was 7 months (range: 1-35 months), and was longest for alectinib and capmatinib (15 months ongoing and 25 months, ongoing) and gefitinib and selpercatinib (35 months, ongoing). Available supporting evidence included retrospective cohort studies (n = 5), published case reports/series (n = 2), and a prospective cohort study (n = 1).
Conclusion:
Off-label combination therapy to treat targeted therapy resistance in advanced NSCLC is feasible in routine clinical practice. Additional real-world evidence is needed to clarify best practices with this emerging approach.
Insights
Off-label targeted therapy combinations show feasibility for treating advanced non-small cell lung cancer (NSCLC) with resistance. Real-world data is crucial for establishing best practices in this emerging treatment landscape.
Area of Science:
- Oncology
- Pharmacology
- Genetics
Background:
- No targeted therapy combinations are approved for biomarker-positive resistance in non-small cell lung cancer (NSCLC).
- Next-generation sequencing (NGS) is widely available for detecting resistance mechanisms.
- Off-label targeted therapy combinations are being explored in advanced NSCLC.
Purpose of the Study:
- To review the real-world experience of using off-label targeted therapy combinations.
- To assess the feasibility of these combinations in an academic safety-net hospital setting.
- To evaluate treatment outcomes and supporting evidence for combination regimens.
Main Methods:
- Pharmacy records from Boston Medical Center (2017-2024) were reviewed.
- Focused on patients with advanced NSCLC receiving off-label targeted therapy combinations.
- Demographics, treatment history, molecular data, and published evidence were analyzed.
Main Results:
- Eight patients received nine combination regimens.
- Common mutations included EGFR exon 19 deletions and EML4-ALK fusions.
- Combinations involved MET, RET, MEK, ALK inhibitors, and an EGFR antibody. Median treatment duration was 7 months, with some ongoing for over 2 years.
- Supporting evidence comprised retrospective cohort studies, case reports/series, and a prospective cohort study.
Conclusions:
- Off-label combination therapy is feasible for treating targeted therapy resistance in advanced NSCLC.
- Real-world evidence supports the use of these emerging approaches.
- Further research is needed to define optimal practices for combination therapies.
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