Safety of image guided research biopsies in patients with thoracic malignancies.

OBJECTIVE: A common opportunity to collect research samples is during image-guided percutaneous core needle biopsies (CNBs) performed when clinically indicated or for assessing clinical trial eligibility. The relative safety of extra CNBs collected for research is undefined. MATERIALS AND METHODS: Patients who underwent CNB for research purposes only [RO], as clinically indicated [CI], or as part of a clinical trial [CT] were identified. 30-day post-procedure adverse events (AEs) among the cohorts were examined and compared to the 2020 Society of Interventional Radiology QI guidelines. RESULTS: 236 patients with thoracic cancers (90 % NSCLC, 5 % SCLC, 4 % mesothelioma, and 1 % thymic) had 292 CNBs (63 RO, 229 CI + CT). AEs occurred in 13 % of both the RO and CI + CT groups. Compared to the CI + CT group, the RO group did not have a higher pneumothorax incidence (RO: 5/29 [17 %], CI + CT: 18/114 [16 %], p = 0.79); both were below the suggested QI threshold of 45 % for pneumothorax. There was a negative association between number of cores obtained and risk of AE (AE vs no AE mean cores = 3.5 vs 4.8). After adjusting for the number of cores and smoking history, RO vs CI + CT lung biopsies had a higher risk of AEs (adjusted relative risk [aRR] = 2.44, 1.08-5.55, p = 0.03 vs non-lung aRR = 0.86, 0.10-7.09, p = 0.89). CONCLUSION: CNBs performed for research purposes do not have a significantly increased risk of AEs when compared to those performed for clinical trials and/or when clinically indicated. However, AEs were most frequent in lung biopsies. When performing research biopsies, a target other than lung may be preferred when clinically appropriate.

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.

Axillary Lymphadenopathy After Coronavirus Disease 2019 Vaccinations in Patients With Thoracic Malignancy: Incidence, Predisposing Factors, and Imaging Characteristics.

OBJECTIVES: Axillary lymphadenopathy from coronavirus disease 2019 (COVID-19) vaccine is an emerging phenomenon during unprecedented mass vaccinations, which can be incidentally found on computed tomography (CT) scans. This study investigated the incidence, predisposing factors, and imaging characteristics of vaccine-related axillary lymphadenopathy in patients with thoracic malignancy who underwent CT scans before and after COVID-19 vaccinations. METHODS: The study included patients with thoracic malignancies who received two doses of mRNA-based COVID-19 vaccinations and had prevaccine and postvaccine chest CT scans. Postvaccine chest CT scan results were reviewed for increase in size of lymph nodes in the axilla and subpectoral areas, comparing with the prevaccine scan results. The cases with lymphadenopathy were further reviewed independently by two radiologists referring to clinical information to find whether lymphadenopathy was attributed to the vaccinations. RESULTS: Vaccine-related axillary lymphadenopathy was noted in 21 of 232 patients (9.0%). The median short-axis diameter of the largest node was 7 mm (range: 5-14 mm). The median number of increased nodes was 4 (range: 1-10). The median time to the postvaccine scan revealing lymphadenopathy was 1.7 weeks (range: -2.9 to 6.6) from the second dose. Vaccine-related lymphadenopathy was noted more often in women than in men (18 of 144, 12.5% versus 3 of 88, 3.4%, respectively; p = 0.019) and with mRNA-1273 vaccines than BNT162b2 vaccines (6 of 28, 21% versus 15 of 204, 7.4%, respectively; p = 0.026). CONCLUSIONS: The incidence of lymphadenopathy was 9%, with a median onset time of 1.7 weeks after the second vaccine dose. Female sex and vaccine type (mRNA-1273 vaccine) were associated with higher frequency of lymphadenopathy, providing initial observations to inform further investigations in larger cohorts.

SPACEWALK: A Remote Participation Study of ALK Resistance Leveraging Plasma Cell-Free DNA Genotyping.

INTRODUCTION: Remote consent and enrollment offer a unique opportunity to provide rare cancer populations with access to clinical research. The genomic analysis of plasma cell-free DNA (cfDNA) permits remote characterization of the cancer genome. We hypothesized we could leverage these approaches to remotely study drug resistance in patients with metastatic ALK-positive NSCLC. METHODS: The SPACEWALK study (Study of Plasma Next-Generation Sequencing for Remote Assessment, Characterization, Evaluation of Patients With ALK Drug Resistance) enrolled patients with ALK-positive NSCLC and progression on a next-generation ALK inhibitor who could participate remotely. Plasma was collected for next-generation sequencing (NGS) of cfDNA before initiating subsequent therapy, with results returned and subsequent therapy studied. RESULTS: Of the 62 patients enrolled, an ALK fusion was detected in 27 (44%) with a median allelic fraction of 2.6%. Among these 27 patients, a potential resistance mechanism was identified in 17 patients (63%): eight cases (30%) had secondary ALK kinase domain resistance mutations, three cases (11%) had bypass track resistance, and six cases (22%) had both ALK resistance mutations and bypass resistance. The most frequently detected mechanism of bypass resistance was MET amplification. Repeat plasma NGS was performed in 14 patients after subsequent treatment was initiated, with seven (50%) patients exhibiting greater than 50% reductions in ALK fusion allelic fraction. CONCLUSIONS: Through the leveraging of remote participation, plasma NGS offers an optimal mechanism for characterizing resistance to emerging targeted therapies in rare cancer populations, though sensitivity depends on adequate tumor DNA samples. Repeat cfDNA analysis on therapy may offer an objective monitoring approach to remotely study treatment response.

Oncogenic switch and single-agent MET inhibitor sensitivity in a subset of EGFR-mutant lung cancer.

The clinical efficacy of epidermal growth factor receptor (EGFR)­targeted therapy in EGFR-mutant non­small cell lung cancer is limited by the development of drug resistance. One mechanism of EGFR inhibitor resistance occurs through amplification of the human growth factor receptor (MET) proto-oncogene, which bypasses EGFR to reactivate downstream signaling. Tumors exhibiting concurrent EGFR mutation and MET amplification are historically thought to be codependent on the activation of both oncogenes. Hence, patients whose tumors harbor both alterations are commonly treated with a combination of EGFR and MET tyrosine kinase inhibitors (TKIs). Here, we identify and characterize six patient-derived models of EGFR-mutant, MET-amplified lung cancer that have switched oncogene dependence to rely exclusively on MET activation for survival. We demonstrate in this MET-driven subset of EGFR TKI-refractory cancers that canonical EGFR downstream signaling was governed by MET, even in the presence of sustained mutant EGFR expression and activation. In these models, combined EGFR and MET inhibition did not result in greater efficacy in vitro or in vivo compared to single-agent MET inhibition. We further identified a reduced EGFR:MET mRNA expression stoichiometry as associated with MET oncogene dependence and single-agent MET TKI sensitivity. Tumors from 10 of 11 EGFR inhibitor­resistant EGFR-mutant, MET-amplified patients also exhibited a reduced EGFR:MET mRNA ratio. Our findings reveal that a subset of EGFR-mutant, MET-amplified lung cancers develop dependence on MET activation alone, suggesting that such patients could be treated with a single-agent MET TKI rather than the current standard-of-care EGFR and MET inhibitor combination regimens.

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.