Does neoadjuvant targeted therapy provide an opportunity for resectable EGFR-mutant lung cancer: a real-world retrospective study

e20573 Background: This multi-center retrospective study was to determine whether the ΔCt value of Amplified Refractory Mutation System (ARMS) in EGFR mutated detection in tumors predicts the efficacy of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) in EGFR-mutant non-small-cell lung cancer (NSCLC). Methods: A total of 108 NSCLC patients harbored an exon 19 deletion (19Del) or exon 21 L858R mutation detected by ARMS were enrolled. We identified patients with ΔCt<1(Group L) harbored a high proportion of EGFR mutation but the patients with ΔCt≥1 (Group H) harbored a low proportion of EGFR mutation in the tumor sample. The progression-free survival (PFS), objective response rates (ORRs) and overall survival (OS) between the groups were analyzed. Results: In the 108 patients we enrolled, 63 were in group L and 45 were in group H. Patients’ demographics and clinical characteristics including age, sex, smoking history, pathology, mutation sites, TNM stage, line of TKIs therapy were not significantly difference between group L and group H. The Median PFS was 331 days (95%CI: 311.8 to 350.2) in group L and 206 days (95%CI, 157.2 to 254.8) in group H and the difference showed statistically significant (P < 0.001). Moreover, the ORRs in group L was significant higher than the group H (60.0% vs 34.9%, P = 0.011). The median OS was 744 days (95%CI, 635.5 to 852.5) in group L and 596 days in group H (95%CI, 491.7 to 700.0) but showed not statistically significant ( P = 0.098). Conclusions: ΔCt value of ARMS in EGFR mutated detection could be an efficacy predictor for EGFR-TKIs treatment in advanced EGFR-mutant NSCLC.

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Matching insurance claims data with EMR molecular status data in non-small cell lung cancer (NSCLC) patients: Understanding real-world molecular testing and prevalence rates at the site and investigator level.

Journal of Clinical Oncology ◽

10.1200/jco.2019.37.15_suppl.e20568 ◽

2019 ◽

Vol 37 (15_suppl) ◽

pp. e20568-e20568

Author(s):

Michael Gregory Cushion ◽

Bhavani Krishnan ◽

Jeff Paul Hodge ◽

Jaya Chandra Balusu ◽

Joseph Wagner ◽

...

Keyword(s):

Lung Cancer ◽

Clinical Trials ◽

Targeted Therapy ◽

Real World ◽

Targeted Therapies ◽

Claims Data ◽

Molecular Testing ◽

Insurance Claims ◽

Insurance Claims Data ◽

Nsclc Patients

e20568 Background: Many targeted therapy clinical trials require a somatic gene mutation/alteration for eligibility. We assessed the feasibility of leveraging Real-World Data (RWD) to enrol NSCLC patients into clinical trials. Methods: US insurance claims data were extracted to identify lung cancer patients. These data were matched with EMR data also containing NSCLC patients’ details regarding the occurrence and results of molecular testing for EGFR, ALK, ROS1, JAK2, HER2 and RET somatic alterations, achieving a level of granular detail beyond that available in each individual dataset. A one-year extraction period was applied, with no gender or age restrictions. Results: Results for the matched dataset are summarised in the table below - the overall patient record match was 89.6%. Conclusions: The observed prevalence correlated reasonably well with literature reported prevalence for the molecular biomarkers associated commercially available targeted therapies in NSCLC (EGFR, ALK, ROS1). The sample size for the remaining biomarkers was too small to draw conclusions, though the presence of data correlating to these is of interest, considering that there are no currently approved targeted therapies in NSCLC tailored to these predictive biomarkers. This approach could be expanded upon to recruit patients into targeted therapy clinical trials as the dataset is fully linkable to sites and investigators. With the emergence of broad genomic profiling, the availability of molecular data to support clinical trial enrolment is also expected to grow.[Table: see text]

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