scholarly journals OA03.08 Clinical Utility of CTDNA Driver Genomic Alterations (GA) Directing Targeted Therapy in Untreated Advanced NSCLC Patients

2019 ◽  
Vol 14 (11) ◽  
pp. S1133
Author(s):  
L. Mezquita ◽  
D. Planchard ◽  
M. Dorta ◽  
M. Aldea ◽  
C. Naltet ◽  
...  
2021 ◽  
Vol 32 ◽  
pp. S991
Author(s):  
M. Garcia De Herreros ◽  
S. Muñoz ◽  
C. Teixido ◽  
V. Díez-Guardia ◽  
A. Arcocha ◽  
...  

2019 ◽  
Vol 30 ◽  
pp. ix122-ix123 ◽  
Author(s):  
L. Mezquita ◽  
D. Planchard ◽  
M. Dorta Suarez ◽  
M. Aldea ◽  
C. Naltet ◽  
...  

2020 ◽  
Author(s):  
Yue-Yun Chen ◽  
Xu-De Yin ◽  
Ke Xie ◽  
Pei-Pei Wang ◽  
Yang Fu ◽  
...  

Abstract BackgroundIt’s widely accepted that Obesity is closely associated with the elevated risk of various cancers. However, there’s no consensus regarding the impact of body mass index (BMI) on the outcome of targeted therapy targeted-therapy efficacy in lung cancer. MethodsTreatment-naive advanced NSCLC patients harboring EGFR mutation prescribed TKI were screened and enrolled from 3 referral centers. Patients enrolled from West China Hospital were set as the training group, and the others as validation group. Both the demographic features including mutation status and BMI, and therapeutic effects including objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) were collected.ResultsIn the training group, patients were dichotomized according to their BMI. Those with higher BMI (>22.5) achieved a prolonged PFS compared with those with lower BMI (13.8 and 10.9 mon, HR: 0.68; 95% CI: 0.54-0.86; P = 0.001), and the priority persisted irrespective of different cut-off values. Besides, the favorable association of high BMI with long PFS was confirmed in the validation cohort (14.0 and 11.6 mon, P=0.089) and whole cohort (13.7 and 11.3 mon, P=0.004). In the multivariate analysis, BMI was an independent favorable factor of PFS, together with gender, albumin, and performance. By integration of these factors, a nomogram to predict to 1-,3-year PFS was established. Finally, higher BMI was associated with better objective response rate (ORR, 74% and 69%) and longer overall survival (OS, 41.4 and 33.5 mon, P=0.011). ConclusionHigh BMI was independently associated with efficacy of EGFR-TKI treatment in advanced NSCLC patients.


2016 ◽  
Vol 27 ◽  
pp. vi441
Author(s):  
J. Radtchenko ◽  
B. Korytowsky ◽  
K. Tuell ◽  
M. Bhor ◽  
B. Feinberg

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A523-A523
Author(s):  
Nikita Sharma ◽  
Mahaletchumy Krishnam ◽  
Ayse Levent

BackgroundThe growth in the number of targeted therapies available for the treatment of solid tumors has placed biomarker testing at the heart of clinical practice, especially for non-small lung cancer (NSCLC). Guidelines such as those by the American Society of Clinical Oncology and the European Society for Medical Oncology, recommend that all advanced NSCLC patients be tested for EGFR, ALK, ROS-1 and PD-L1 and that further markers (such as BRAF and KRAS) be included in larger panels. Despite these guidelines, oncologists do not always test NSCLC patients for these biomarkers. This study explores the reasons for not testing and compares these across the US, France, Germany, UK, Italy and Spain (collectively EU5) by examining real-world usage data.MethodsBetween September and November 2019, a panel of oncologists (n=65 in US and n=235 in EU5) were asked to report on their practices relating to biomarker testing for 1,110 NSCLC patients through the submission of online, de-identified charts detailing testing for EGFR, ALK, ROS-1, PD-L1, BRAF, KRAS/NRAS, MET, RET, dMMR/MSI, TMB and NTRK. We collected data on 11,116 instances where biomarkers were skipped and recorded physicians’ reasons for not testing (selected from a pre-coded list).ResultsOf the reasons provided for not testing in the US (n=2,114) and EU5 (n= 9,002), waiting for progression was selected the most (27% and 25%, respectively). Lack of data regarding clinical utility (18% and 16%) and patients not meeting criteria (13% and 17%) were mentioned next as the top reasons for not testing across both regions. Compared to the US, EU5-based physicians had higher mentions of patients not meeting criteria (17% vs. 13%), tests not being reimbursed (7% vs. 5%) and treatment costs not being reimbursed (6% vs. 4%). The full distribution of reasons is shown in table 1 below.Abstract 487 Table 1Reasons for not testingConclusionsDespite recommendations in guidelines, physicians in the US and EU5 often forgo testing to wait until after progression, because of a perceived lack of clinical utility or because they deem the patient ineligible for testing. While individual countries differ on their approaches to testing - some are more cost sensitive (UK, France) while others are more discerning as to which patients are eligible for testing (Germany) - a concerted effort is needed to educate physicians on the clinical utility of biomarker testing.


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