Variation in targetable genomic alterations in non-small cell lung cancer by genetic ancestry, sex, smoking history, and histology.

BACKGROUND: Genomic alterations in 8 genes are now the targets of FDA-approved therapeutics in non-small cell lung cancer (NSCLC), but their distribution according to genetic ancestry, sex, histology, and smoking is not well established. METHODS: Using multi-institutional genetic testing data from GENIE, we characterize the distribution of targetable genomic alterations in 8 genes among 8675 patients with NSCLC (discovery cohort: DFCI, N = 3115; validation cohort: Duke, Memorial Sloan Kettering Cancer Center, Vanderbilt, N = 5560). For the discovery cohort, we impute genetic ancestry from tumor-only sequencing and identify differences in the frequency of targetable alterations across ancestral groups, smoking pack-years, and histologic subtypes. RESULTS: We identified variation in the prevalence of KRASG12C, sensitizing EGFR mutations, MET alterations, ALK, and ROS1 fusions according to the number of smoking pack-years. A novel method for computing continental (African, Asian, European) and Ashkenazi Jewish ancestries from panel sequencing enables quantitative analysis of the correlation between ancestry and mutation rates. This analysis identifies a correlation between Asian ancestry and EGFR mutations and an anti-correlation between Asian ancestry and KRASG12C mutation. It uncovers 2.7-fold enrichment for MET exon 14 skipping mutations and amplifications in patients of Ashkenazi Jewish ancestry. Among never/light smokers, targetable alterations in LUAD are significantly enriched in those with Asian (80%) versus African (49%) and European (55%) ancestry. Finally, we show that 5% of patients with squamous cell carcinoma (LUSC) and 17% of patients with large cell carcinoma (LCLC) harbor targetable alterations. CONCLUSIONS: Among patients with NSCLC, there was significant variability in the prevalence of targetable genomic alterations according to genetic ancestry, histology, and smoking. Patients with LUSC and LCLC have 5% rates of targetable alterations supporting consideration for sequencing in those subtypes.

Plasma cfDNA Genotyping in Hospitalized Patients With Suspected Metastatic NSCLC.

PURPOSE: Next-generation sequencing (NGS) is an important component of first-line treatment selection for metastatic non-small-cell lung cancer (NSCLC) and is typically ordered by medical oncologists in the outpatient setting after the pathologic diagnosis has been established. Time to treatment initiation is an important clinical challenge, especially for patients with rapidly progressive disease. METHODS: Plasma cell-free DNA (cfDNA) NGS was performed on 20 patients with suspected metastatic NSCLC hospitalized at an academic cancer center, before pathologic diagnosis. Clinicopathologic and treatment data were analyzed. Time from pathologic diagnosis to genotyping result was compared with standard care groups who underwent plasma or tumor NGS in routine clinical care. RESULTS: The median time from pathologic diagnosis to the plasma cfDNA NGS result was 3 days in the study cohort, versus 18 days and 35.5 days in the standard care plasma and tumor NGS groups, respectively. 68.4% of evaluable patients had metastatic NSCLC, and 21.1% had another advanced solid tumor. Forty-five percent of plasma cfDNA results demonstrated actionable or informative genomic variants, and 20% of patients received standard or investigational first-line targeted therapy as a direct result of the plasma cfDNA NGS. CONCLUSION: Plasma cfDNA NGS before pathologic diagnosis in hospitalized patients with suspected metastatic NSCLC results in substantially shorter time to genotyping result compared with standard outpatient workflows. This provides important initial evidence for the use of plasma-based genotyping earlier in the diagnostic journey, especially for patients with clinically aggressive disease. Additional studies and innovative approaches toward regulatory and reimbursement considerations are needed.

Turnaround Time of Plasma Next-Generation Sequencing in Thoracic Oncology Patients: A Quality Improvement Analysis.

PURPOSE: Genomic analysis of plasma cell-free DNA has become a widespread tool for advanced non-small-cell lung cancer care. Whereas accuracy has been reported on widely, its usefulness is also tied tightly to its turnaround time (TAT), which is not well studied. METHODS: We studied the TAT of commercial plasma next-generation sequencing (NGS; Guardant360) for 533 results from 461 patients at our center between August 2016 and October 2019. The study received institutional review board approval as a quality improvement study; therefore, the results of the test and clinical setting were not analyzed. RESULTS: TAT from blood draw to result (median of 9 days) was slightly longer than the TAT from laboratory receipt to result, a median of 7 days. Testing volume at our center increased three-fold over the time of the study. During this period, clinical TAT decreased from an initial median of 12 days to a median of 8 days in 2018, but more recently the median increased slightly to 9 days. During the most recent 12 months, 231 (95%) of 247 cases resulted within 14 days from blood draw, with delayed results usually because of billing, whereas 44 cases (18%) resulted within 7 days of blood draw. Studying 92 cases drawn in the most recent 3-month period, the median time of result receipt was 4:01 pm Eastern Time/1:01 pm Pacific Time; 39 results (43%) were returned after 5:00 pm Eastern Time. CONCLUSION: In a large single-institution experience, we find that plasma NGS results can routinely be expected within 2 weeks, but uncommonly result within 1 week, supporting the need for new strategies to incorporate plasma NGS into the initial genotyping of advanced non-small-cell lung cancer.