Abstract 449: Use of comprehensive cell-free circuating tumor DNA (cfDNA) analysis to identify genomic biomarkers in newly diagnosed advanced non-small cell lung cancer (NSCLC) patients

Author(s):  
Ramon Palmero ◽  
Alvaro Taus ◽  
Santiago Viteri ◽  
Margarita Majem ◽  
Enric Carcereny ◽  
...  
2018 ◽  
Vol 36 (15_suppl) ◽  
pp. e21031-e21031 ◽  
Author(s):  
Aurélie Swalduz ◽  
Sandra Ortiz-Cuaran ◽  
Virginie Avrillon ◽  
Solène Marteau ◽  
Séverine Martinez ◽  
...  

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e20017-e20017
Author(s):  
Priyanka Bhateja ◽  
Gary Wildey ◽  
Mary Beth Lipka ◽  
Neelesh Sharma ◽  
Afshin Dowlati

e20017 Background: Genomic studies in small cell lung cancer (SCLC) are hampered by the small amounts of biopsy tissue typically available. The emergence of ‘liquid biopsy’ to identify tumor DNA mutations in plasma (circulating tumor DNA or ctDNA) has the potential to overcome this restriction and also facilitates multiple sampling during disease treatment. Here we use ctDNA to compare mutation profiles in SCLC and non-small cell lung cancer (NSCLC)patients and to identify changes that occur post-relapse in SCLC. Methods: Targeted exome sequencing of 73 genes in plasma from 13 SCLC and 17 NSCLC patients was obtained along with matched patient targeted exome sequencingof 315 genes for 6 SCLC and 8 NSCLC tumor biopsies. Only the 70 genes analyzed by both assays were studied. Results: 3 SCLC and 8 NSCLC ctDNA specimens were collected pre-treatment, with the remainder post-relapse. In SCLC, 46 total gene mutations were detected in ctDNA with a mean allelic fraction (mAF) of 16.0%. TP53 (mAF 30.8%, N= 15) and ARID1A (mAF 16.0%, N= 6) were the most frequently mutated SCLC genes. In NSCLC, 53 gene mutations were detected with a mAF of 2.5%. TP53 (mAF 5.9%, N= 13), EGFR (mAF 2.3%, N= 10) and KRAS (mAF 4.4%, N= 5) were frequently mutated NSCLC genes. 44 and 10 gene amplifications were detected in SCLC and NSCLC ctDNA, respectively. 5 SCLC patients with tumor DNA profiles obtained pre-treatment had matching ctDNA profiles obtained post-relapse. TP53 mutation status agreed in 4 of the matched specimens. 6 new gene mutations occurred post-relapse in ctDNA, notably a TSC1 mutation (AF 8.4%) in one patient. 7 tumor gene mutations were lost post-relapse, notably ARID1A and NTRK1 mutations were lost in two patients each. Remarkably, 23 new gene amplifications were detected post-relapse in ctDNA, including PIK3CA ( N= 5) and CCNE1 ( N= 5), whereas only 1 was detected in pre-treatment tumors. Conclusions: SCLC exhibits much greater ctDNA mAF values than NSCLC, although their overall mutation profiles agree with published tumor DNA mutation profiles. Interestingly, the predominant change observed in SCLC ctDNA profiles in relapsed specimens is increased gene amplification.


2020 ◽  
pp. 1-6
Author(s):  
Haijun Zhang ◽  
Dandan Zhou ◽  
Haijun Zhang ◽  
Hongming Zhang ◽  
Wenwen Xu

Background: Brain metastasis (BM) is a common complication of patients with non-small cell lung cancer (NSCLC) and associated with a poor prognosis. The study aimed to evaluate the effect of cerebral infarction (CI) on the risk of BM in NSCLC for preventive therapy strategy. Methods: 307 patients with newly diagnosed NSCLC in Zhongda Hospital, Medical School of Southeast University from July 2013 to July 2018 were retrospectively analyzed. Depending on magnetic resonance imaging (MRI), the patients were divided into the BM group and the control group (without BM). Then, the prevalence of CI and baseline clinicopathological parameters were evaluated and compared between the two groups. Results: Out of the 307 patients, 204 patients (66.4%) had CI, and 52 patients (16.9%) had BM. Especially, the prevalence of CI in the NSCLC patients with BM was 84.6%, which was significantly higher than that of 62.7% in the NSCLC patients without BM (p = 0.002). Following univariate logistic regression analysis and the multivariate model, the results demonstrated that CI was a significant independent risk factor for BM in NSCLC (odds rate [OR], 2.921; 95% confidence interval [CI], 1.242-6.873; p = 0.014). Moreover, CI contributed to a worse prognosis in NSCLC patients with BM. Finally, dynamical trace confirmed CI could promote BM in NSCLC patients. Conclusions: CI could be associated with a metastatic tropism to the brain and then with an increased risk of BM in NSCLC patients. Therefore, the targeted intervention of the metastatic niche of CI could offer a promising approach for the prevention, prognostic evaluation, and therapy of BM in NSCLC patients for better clinical outcomes.


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