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W. Wong
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P1.01 - Advanced NSCLC (ID 757)
- Event: WCLC 2017
- Type: Poster Session with Presenters Present
- Track: Advanced NSCLC
- Presentations: 2
- Moderators:
- Coordinates: 10/16/2017, 09:30 - 16:00, Exhibit Hall (Hall B + C)
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P1.01-007 - ALK Testing Trends and Patterns Among Community Practices in the United States (ID 8654)
09:30 - 09:30 | Author(s): W. Wong
- Abstract
Background:
The CAP/IASLC/AMP molecular testing guidelines recommend ALK testing on patients with lung adenocarcinoma, regardless of clinical characteristics. FISH is the recommended assay to detect ALK rearrangement, however other assays, such as NGS and IHC, are available. There have been limited published data to assess adherence to ALK testing guidelines using large real-world data sources. The objective of this study was to assess real-world ALK testing patterns among community practices in the United States.
Method:
The Flatiron database provides real-world clinical data collected from EHRs used by US cancer care providers. The Flatiron network comprises ~15% of US cancer patients and is geographically and demographically diverse. Patients with ≥2 visits within the Flatiron Network after Jan 1, 2011, >=18 years of age, and an stage IIIB/IV NSCLC diagnosis from 2011 through 2017 Q1 were included in this analysis. Logistic regression was used to identify patient characteristics associated with receiving ALK testing.
Result:
Of 29,903 patients identified from community-based clinics (mean age: 71.6, 52.2% male), ALK testing rates have steadily increased over time from 32.2% in 2011 to 61.0% in 2016 for all NSCLC patients, and 41.0% in 2011 to 74.0% in non-squamous patients. Patients that are younger, no history of smoking, women and living in the West region were more likely to be tested for ALK. Patients with Medicaid insurance, recurrent disease and squamous histology were less likely to be tested. The most common first assay to test for ALK was FISH (70%) followed by NGS (8%), PCR (4%) and IHC (1%). The median time from specimen receipt by lab to test result ranged from 6 days (FISH) to 11 days (NGS). Patients who had NGS testing were more likely to initiate chemotherapy prior to test result (34% of patients tested with NGS) than FISH (20%). 1235 patients had at least one FISH and another ALK test, with the percent agreement between FISH and other assays (NGS, PCR, IHC) ranging from 92% to 97%.
Conclusion:
Several patient characteristics predicted ALK testing indicating that some subgroups of patients may be under tested, according to guidelines. Consistent with guidelines, FISH was the most common assay and turnaround times from lab receipt to test result was under 2 weeks. There was a high agreement between FISH and NGS, indicating the potentially clinical utility of NGS, however NGS had also the longest turn around time and the highest proportion of patients initiating treatment prior to test results.
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P1.01-008 - Real-World Patient Characteristics, Testing and Treatment Patterns of ALK+ NSCLC (ID 8681)
09:30 - 09:30 | Author(s): W. Wong
- Abstract
Background:
Based on clinical trials, ALK+ patients have been described as typically younger and never/former smokers, however patients enrolled in clinical trials may be different than those in the real-world. While the ALK positivity rate has been described as about 4% among all NSCLC patients, limited information is available on the positivity rates in patient subgroups. The objective of this study is to describe the real-world ALK positivity rates, patient characteristics and treatment patterns in ALK+ NSCLC patients.
Method:
The Flatiron database provides real-world clinical data collected from EHRs used by US cancer care providers. The Flatiron network comprises ~15% of US cancer patients and is geographically and demographically diverse. Patients with ≥2 visits within the Flatiron Network after Jan 1, 2011, ≥18 years of age, ≥1 ALK+ test result and an stage IIIB/IV NSCLC diagnosis from 2011 through 2017 Q1 were included in this analysis. Logistic regression was used to examine the association of ALK positivity and initiation of ALK inhibitor therapy based on patient characteristics. Survival model adjusting for censoring was used to estimate the time to ALK inhibitor order.
Result:
599 out of 15,551 ALK tested patients were identified to have an ALK positive test result, for a positivity rate of 3.9%. The ALK positivity rate varied by age (<65: 6.3% vs. ≥65: 2.9%), smoking status (no history of smoking: 11.6% vs. history of smoking: 2.3%), and histology (non-squamous: 4.0% vs. squamous: 1.8%). Factors associated with ALK positivity included younger age, academic practice, male, non-squamous histology, and no history of smoking. 78% of patients with ALK+ disease had evidence of an order for an ALK inhibitor after NSCLC diagnosis. The median time from test result to ALK inhibitor order was 24 days, with 42% of patients without an order for an ALK inhibitor within 90 days. Among patients with an order for an ALK inhibitor, 23% received chemotherapy prior to their ALK test result and 20% received chemotherapy after their test result but before the first order of ALK inhibitor. Patients diagnosed after 2014 and patients who received chemotherapy prior to the ALK test result were more likely to have an order for an ALK inhibitor.
Conclusion:
The ALK positivity rate and patient characteristics in this real-world NSCLC population are consistent with clinical trials, with some subgroups having higher positivity rates. ALK inhibitors were the most frequently ordered treatment, however many patients had a delayed time to ordering the ALK inhibitor.
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P3.01 - Advanced NSCLC (ID 621)
- Event: WCLC 2017
- Type: Poster Session with Presenters Present
- Track: Advanced NSCLC
- Presentations: 1
- Moderators:
- Coordinates: 10/18/2017, 09:30 - 16:00, Exhibit Hall (Hall B + C)
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P3.01-086 - Biomarker Testing Trends and Treatment Patterns in Advanced Non-Small Cell Lung Cancer (NSCLC) Patients in the United States (ID 9098)
09:30 - 09:30 | Author(s): W. Wong
- Abstract
Background:
The CAP/IASLC/AMP molecular testing guidelines recommend ALK and EGFR testing on patients with lung adenocarcinoma, regardless of clinical characteristics. While PD-L1 testing has recently become available, a potential challenge to implement this testing is limited tissue availability. NGS may address this issue but there are limited published data assessing the impact of PD-L1 testing on NSCLC biomarker testing and treatment patterns using large real-world data sources. The objective of this study is to describe real-world biomarker testing and treatment patterns in the United States (US).
Method:
Flatiron Health’s database is a longitudinal, demographically and geographically diverse database containing EHR data. The database includes over 265 cancer clinics (~800 sites of care) representing more than 1.7 million active US cancer patients. Patients with ≥2 visits after Jan 1, 2011, ≥18 years of age, treated in first line (1L), and stage IIIB/IV NSCLC diagnosis from Jan 2012 - Mar 2017 were included in this analysis. Results were stratified by year of diagnosis (2012-2015 vs. 2016+).
Result:
Of 21,514 patients identified, the majority (80%) were diagnosed with de novo disease and 76% presented with non-squamous histology. PD-L1 testing rates were higher in those diagnosed in 2016+ compared to 2012-2015 (36% vs. 7%). A larger proportion of patients were tested for at least one biomarker in 2016+ (75%) vs. 2012-2015 (65%). The use of NGS also doubled (10% in 2012-2015 vs. 21% in 2016+) during this time period. For all patients, biomarker positivity rates varied by biomarker (PD-L1: 34%, EGFR: 17%, ALK: 4%, ROS1: 2%, KRAS: 30%) and by histology with the exception of PD-L1. The percentage of patients who initiated 1L systemic therapy, prior to receiving their first positive biomarker test results, ranged from 17% to 27% depending on the biomarker test.
Conclusion:
The introduction of PD-L1 testing has coincided with an increase in the proportion of patients being tested for a biomarker, as well as an increase in NGS. NGS has previously been shown to be associated with the longest turn-around time, and up to 27% of patients initiate systemic therapy prior to receiving positive biomarker test results. Additional research to understand the resource implications and clinical outcomes of initiating systemic therapy prior to test results (rather than delaying therapy) is underway.