Duration of Targeted Therapy in Patients With Advanced Non–small-cell Lung Cancer Identified by Circulating Tumor DNA Analysis

2020 ◽  
Vol 21 (6) ◽  
pp. 545-552.e1
Author(s):  
Karen L. Reckamp ◽  
Tejas Patil ◽  
Kedar Kirtane ◽  
Thereasa A. Rich ◽  
Carin R. Espenschied ◽  
...  
2018 ◽  
Vol 13 (10) ◽  
pp. S925-S926
Author(s):  
R. Grinberg ◽  
L. Roisman ◽  
S. Geva ◽  
M. Lefterova ◽  
K. Quinn ◽  
...  

Cancer ◽  
2020 ◽  
Vol 126 (14) ◽  
pp. 3219-3228 ◽  
Author(s):  
Philip C. Mack ◽  
Kimberly C. Banks ◽  
Carin R. Espenschied ◽  
Rebekah A. Burich ◽  
Oliver A. Zill ◽  
...  

Cancers ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 947 ◽  
Author(s):  
Anne Tranberg Madsen ◽  
Anne Winther-Larsen ◽  
Tine McCulloch ◽  
Peter Meldgaard ◽  
Boe Sandahl Sorensen

With the rapid development of targeted therapies for the treatment of cancer, methods for predicting response and outcome are in high demand. Non-small cell lung cancer driven by genomic rearrangements of the anaplastic lymphoma kinase (ALK) gene can be successfully treated with ALK-targeted therapy. Unfortunately, a subset of patients does not respond, and all patients ultimately acquire resistance, highlighting the need for better clinical tools to manage these patients. Here, we performed targeted next-generation sequencing on plasma circulating tumor DNA (ctDNA) from 24 patients to assess the clinical utility of ctDNA genomic profiling. Patients with detectable ctDNA prior to treatment had worse progression-free survival (PFS) than those without (median 8.7 vs. 15.2 months, p = 0.028). In addition, the presence of ctDNA within two months after treatment initiation predicted inferior PFS (median 4.6 vs. 14.5 months, p = 0.028). Longitudinal monitoring of ctDNA with droplet digital PCR during treatment reflected the radiological response and revealed potential acquired resistance mutations. Interestingly, an increase in the ctDNA concentration was evident prior to the determination of progressive disease by conventional radiological imaging, with a median lead time of 69 days (range 30–113). Genomic profiling of ctDNA is a promising tool for predicting outcome and monitoring response to targeted therapy.


2018 ◽  
Vol 13 (4) ◽  
pp. S35-S36
Author(s):  
R. Grinberg ◽  
L.C. Roisman ◽  
S. Geva ◽  
L. Soussan-Gutman ◽  
A. Dvir ◽  
...  

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 9009-9009
Author(s):  
Justin Jee ◽  
Emily S. Lebow ◽  
Yonina R. Murciano-Goroff ◽  
Gowtham Jayakumaran ◽  
Ronglai Shen ◽  
...  

9009 Background: The effectiveness of circulating tumor DNA (ctDNA) at matching patients to life prolonging therapy has been studied mostly in small cohorts with limited follow up. The prognostic value of ctDNA alterations, particularly those absent on tissue, is also unclear. To address these questions, we studied survival outcomes in a prospective cohort of patients (N = 1002) with non-small cell lung cancer (NSCLC). Methods: Adults with metastatic or recurrent NSCLC were eligible if they had no known driver mutation or a known driver with progression following targeted therapy. Patients were enrolled at Memorial Sloan Kettering Cancer Center (New York, NY) starting October 21, 2016; analysis here is from a snapshot November 1, 2020. All patients had ctDNA sequenced via the Resolution ctDx Lung platform. To reduce inclusion of incidental germline mutations, we excluded non-functionally significant mutations with an allele frequency 35-65% that were present in gnomAD. Patients could also receive, at their provider’s discretion, tissue sequencing with MSK-IMPACT, which filters germline and clonal hematopoietic (CH) mutations with matched white blood cell sequencing. We performed survival analyses using Cox proportional hazards models from time of diagnosis of advanced disease to death, left truncating at time of study entry. Results: Of 1002 patients, 348 (35%) were treated with targeted therapy; in 181 of these (52%) the targetable alteration was detected in ctDNA. Patients treated with targeted therapy had prolonged survival whether matched by tissue-based methods (HR 0.39, 95%CI 0.30-0.51) or ctDNA (HR 0.47, 95%CI 0.37-0.61). These benefits persisted across multiple subgroups. ctDNA alterations themselves were associated with worse survival (HR 2.2, 95%CI 1.8-2.8), in a manner that scaled with allele fraction and burden. Of 401 patients with time-matched tissue sampling, 62 (15%) had ctDNA alterations that were absent on IMPACT (“unique” ctDNA alterations). Three such patients had unique ctDNA EGFR T790M mutations leading to changes in therapy. However, unique ctDNA alterations were generally associated with worse survival than no ctDNA alterations (HR 2.5, 95%CI 1.7-3.7) and even tissue-matched ctDNA alterations (HR 1.7, 95%CI 1.1-2.4). Of 98 unique ctDNA mutations, 48 (49%) were detectable in tissue at subthreshold levels, 12 (12%) were filtered by IMPACT as CH or germline, and 38 mutations (39%) were absent even at subthreshold levels. ctDNA alteration burden correlated with radiographic disease extent. In multivariate models with radiographic disease extent and other clinical variables, ctDNA alterations were the strongest independent predictor of worse survival. Conclusions: Our results show that ctDNA may match patients to life-prolonging targeted therapy and have prognostic importance. ctDNA may provide data about a patient’s cancer missed by spatially restricted tissue sequencing. Clinical trial information: NCT01775072.


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