Oncogenic Pathways, Molecularly Targeted Therapies, and Highlighted Clinical Trials in Non–Small-Cell Lung Cancer (NSCLC)

2012 ◽  
Vol 13 (4) ◽  
pp. 252-266 ◽  
Author(s):  
Thanyanan Reungwetwattana ◽  
Saravut J. Weroha ◽  
Julian R. Molina
Keyword(s):  
Lung Cancer ◽  
Clinical Trials ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Targeted Therapies ◽  
Small Cell ◽  
Small Cell Lung ◽  
Oncogenic Pathways

scholarly journals Comparative Efficacy of Targeted Therapies in Patients with Non-Small Cell Lung Cancer: A Network Meta-Analysis of Clinical Trials

2020 ◽  
Vol 9 (4) ◽  
pp. 1063 ◽  
Author(s):  
Tung Hoang ◽  
Seung-Kwon Myung ◽  
Thu Thi Pham ◽  
Jeongseon Kim ◽  
Woong Ju
Keyword(s):  
Lung Cancer ◽  
Clinical Trials ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Targeted Therapies ◽  
Meta Analysis ◽  
Small Cell ◽  
Cochrane Library ◽  
Comparative Efficacy ◽  
Small Cell Lung

This study aims to investigate the efficacy of targeted therapies in the treatment of non-small cell lung cancer (NSCLC) by using a network meta-analysis of clinical trials. PubMed, EMBASE, Cochrane Library, and Clinicaltrials.gov were searched by using keywords related to the topic on 19 September 2018. Two investigators independently selected relevant trials by pre-determined criteria. A pooled response ratio (RR) for overall response rate (ORR) and a hazard ratio (HR) for progression-free survival (PFS) were calculated based on both the Bayesian and frequentist approaches. A total of 128 clinical trials with 39,501 participants were included in the final analysis of 14 therapeutic groups. Compared with chemotherapy, both ORR and PFS were significantly improved for afatinib, alectinib, and crizotinib, while only PFS was significantly improved for cabozantinib, ceritinib, gefitinib, and osimertinib. Consistency was observed between the direct and indirect comparisons based on the Bayesian approach statistically and the frequentist approach visually. Cabozantinib and alectinib showed the highest probability for the first-line treatment ranking in ORR (62.5%) and PFS (87.5%), respectively. The current network meta-analysis showed the comprehensive evidence-based comparative efficacy of different types of targeted therapies, which would help clinicians use targeted therapies in clinical practice.

scholarly journals SURG-05. IDEAL TREATMENT REGIMEN FOR PATIENTS WITH ≥1 BRAIN METASTASIS FROM PRIMARY NON-SMALL-CELL LUNG CANCER – A SYSTEMATIC REVIEW AND NETWORK META-ANALYSIS

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii204-ii204
Author(s):  
Karanbir Brar ◽  
Yosef Ellenbogen ◽  
Behnam Sadeghirad ◽  
Jiawen Deng ◽  
Winston Hou ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Targeted Therapies ◽  
Meta Analysis ◽  
Performance Status ◽  
Progression Free Survival ◽  
Small Cell ◽  
Small Cell Lung ◽  
China National Knowledge Infrastructure

Abstract BACKGROUND Brain metastases (BM) are common in non-small cell lung cancer (NSCLC). The aim of this study was to assess the comparative effectiveness of treatments for BM from NSCLC. METHODS We searched MEDLINE, EMBASE, Web of Science, ClinicalTrials.gov, CENTRAL and references of key studies for randomized controlled trials (RCTs) published until October 2018. We also searched the Chinese databases Wanfang Data, Wanfang Med Online, China National Knowledge Infrastructure, and Chongqing VIP Information for RCTs published until September 2019. Trials including > 10 patients were selected. The primary outcomes were overall survival (OS) and intracranial progression-free survival (PFS). We used a frequentist random-effects model for network meta-analysis and assessed the certainty of evidence using the GRADE approach. RESULTS Among 8798 abstracts, 106 RCTs (9452 patients) met inclusion criteria. Median sample size was 67 (range 25-554). All trials included adult patients with histologically proven NSCLC and >1 BM proven on CT/MRI. Of trials that reported performance status (e.g. ECOG or KPS, n=67), 63/67 excluded patients with non-favorable performance status. Interventions assessed included surgery, WBRT, SRS, targeted therapies (i.e. EGFR/ALK inhibitors), and chemotherapy. Compared to WBRT alone, several interventions demonstrated a statistically significant increase in median OS, including non-targeted chemotherapy + surgery (MD: 415.3 days, 95% CI: 31.3-799.4), WBRT + EGFRi (MD: 200.2 days, 95% CI:146.3-254.1), and EGFRi alone (MD: 169.7 days, 95% CI: 49.7-289.7). Among all interventions, only WBRT + EGFRi showed a significant improvement in median PFS (MD: 108.0 days, 95%CI: 48.5-167.5). CONCLUSIONS Our preliminary analyses indicate an OS and PFS benefit on the addition of EGFR inhibitors to WBRT for the treatment of BMs from NSCLC. Further analyses of hazard ratios for OS/PFS are underway, and subgroup analyses are planned. These data support the growing role of targeted therapies in the treatment of BMs, particularly in susceptible mutant tumours.

Improvements in access to cancer clinical trials facilitated by comprehensive genomic profiling in non-small cell lung cancer.

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 59-59
Author(s):  
Woojung Lee ◽  
Scott Spencer ◽  
Josh John Carlson ◽  
Tam Dinh ◽  
Victoria Dayer ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Clinical Trials ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Genetic Alterations ◽  
Small Cell ◽  
Genomic Profiling ◽  
Small Cell Lung ◽  
Eligibility Criteria ◽  
Comprehensive Genomic Profiling

59 Background: The use of comprehensive genomic profiling (CGP) in cancer patients could lead to additional enrollment in clinical trials that study novel genetic biomarkers, potentially reducing treatment costs for payers and improving health outcomes for patients. Our objective was to estimate the number of additional clinical trials in which patients with non-small cell lung cancer (NSCLC) could potentially enroll due to the use of CGP vs. a comparator panel of 50 genes or less. Methods: Clinical trials in NSCLC that started between 2015 - 2020 were identified from the Aggregate Analysis of ClinicalTrials.gov (AACT) database. Trials with unknown status or study sites outside the United States only were excluded. We abstracted information on required genetic alterations based on the study eligibility criteria. We calculated the incremental number of trials available to patients due to results generated by CGP (FoundationOne CDx, 324 genes) vs. a commercially available comparator panel that was 50 genes or less (Oncomine Dx Target Test, 23 genes) by phase and calendar year. The additional trials were characterized by disease severity, type of therapy, and setting. Results: Enrollment eligibility was dependent on genetic variant status in 35% (250/709) of all identified NSCLC trials. There were 29 (248 vs. 219) additional clinical trials available to patients through the use of CGP, 12% of all gene-specific trials for NSCLC. We identified 45 uses of genetic markers in the 29 additional clinical trials. The most frequent genetic marker in the incremental trials was microsatellite instability, accounting for 44% of all identified markers (20/45). The incremental number of trials available to patients due to the use of CGP did not vary significantly over time but varied by phase – most of the additional clinical trials were in phase 1 or 2 (28/29, 97%). Most of the incremental trials were in metastatic disease (22/29, 76%) and were conducted in academic or advanced community settings (18/29, 62%). The most frequently studied type of intervention in these studies was targeted monotherapy (8/29, 28%), followed by immuno-monotherapy (7/29, 24%). Conclusions: Clinical trials in NSCLC initiated over the past 5 years have consistently included CGP-specific genes or markers in eligibility criteria. Patients with NSCLC have the potential to benefit from the use of CGP as compared to smaller gene panels through improved access to clinical trials.[Table: see text]

Abstract 39: APOBEC3A drives acquired resistance to targeted therapies in non small cell lung cancer

2021 ◽  
Author(s):  
Hideko Isozaki ◽  
Ammal Abbasi ◽  
Naveed Nikpour ◽  
Adam Langenbucher ◽  
Wenjia Su ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Targeted Therapies ◽  
Acquired Resistance ◽  
Small Cell ◽  
Small Cell Lung
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