scholarly journals The Value of Next-Generation Sequencing for Treatment in Non-Small Cell Lung Cancer Patients: The Observational, Real-World Evidence in China

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Yan Zhang ◽  
Wen-Xiang Shen ◽  
Li-Na Zhou ◽  
Min Tang ◽  
Yue Tan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Real World ◽  
Somatic Mutations ◽  
Small Cell ◽  
Small Cell Lung ◽  
First Line ◽  
Exon 19 Deletion ◽  
Nsclc Patients ◽  
Generation Sequencing ◽  
Exon 19

Background. Great success has been made in the targeting therapy of advanced non-small cell lung cancer (NSCLC). Nowadays, next generation sequencing (NGS) is acquirable and affordable in developed area of China. Using this feasible and accurate method of detecting therapeutic genes would help to select optimal treatments to extend patients survival. Here, we identified somatic mutations by NGS and analyzed the value for treatment of NSCLC in a real-world clinical setting. Methods. NGS was carried out on biopsy samples obtained from 66 advanced unresectable NSCLC patients who had not received any treatment. 23 patients received liquid biopsy after failure of first-line targeted treatment. The mutation profiling as well as associations between mutations and clinicopathological characters was analyzed. The study also assessed the values of NGS for choosing treatment options and predicting prognosis in NSCLC patients. Results. 152 somatic mutations were identified in 45 (68.18%) tissue samples. The most frequently mutated genes were EGFR (42.42%), TP53 (31.82%) and KRAS (15.15%). Specifically, the most frequent EGFR mutation subtypes were exon 19 deletion (60.71%) and L858R in exon 21 (46.43%). 83.33% mutated patients received targeted therapy. Among the adenocarcinoma cases, patients with EGFR exon 19 deletion mutation have longer overall survival (OS) than the wide-type (36.0 months versus 19.0 months p=0.046). In addition, in the smoking group, patients with EGFR exon 19 deletion mutation tended to have longer OS (38.0 months versus 16.5 months p<0.01). After the failure of first-line targeted therapy, 23 EGFR mutated patients received liquid biopsy, and the positive rate of T790M mutation in EGFR exon 20 was 47.83%. T790M positive patients have longer progression-free survival (PFS) than the others (15 months versus 9.5 months p=0.025). Conclusions. The observational study from real-world demonstrated that using NGS in routine clinical detection may be useful in guiding the therapy decisions and benefit more Chinese NSCLC patients.

SpecificEGFRMutations Predict Treatment Outcome of Stage IIIB/IV Patients With Chemotherapy-Naive Non–Small-Cell Lung Cancer Receiving First-Line Gefitinib Monotherapy

2008 ◽  
Vol 26 (16) ◽  
pp. 2745-2753 ◽  
Author(s):  
Chih-Hsin Yang ◽  
Chong-Jen Yu ◽  
Jin-Yuan Shih ◽  
Yeun-Chung Chang ◽  
Fu-Chang Hu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Multivariate Analysis ◽  
Response Rate ◽  
Small Cell ◽  
Egfr Mutations ◽  
Small Cell Lung ◽  
First Line ◽  
Exon 19 Deletion ◽  
Nsclc Patients ◽  
Exon 19

PurposeTo explore predictive factors for time to treatment failure (TTF) in chemotherapy-naive non–small-cell lung cancer (NSCLC) patients receiving gefitinib treatment.Patients and MethodsWe designed a phase II study to test gefitinib antitumor efficacy in advanced-stage, chemotherapy-naive NSCLC patients. Patients were treated with gefitinib 250 mg/d. Tumor assessments were performed every 2 months. Responding or stable patients were treated until progression or unacceptable toxicity. All scans were reviewed independently. EGFR exons 18-21 sequence, K-ras exon 2 sequence, and MET gene copy numbers were examined in available samples. Clinical or molecular predictors of TTF were examined by multivariate analysis.ResultsOne hundred six patients were enrolled. Ninety patients had tumor samples for biomarker tests. Overall response rate was 50.9% (95% CI, 41.4% to 60.4%). Median TTF was 5.5 months, and median overall survival (OS) was 22.4 months. The response rate and median TTF of the patients with exon 19 deletion (n = 20) were 95.0% and 8.9 months, for exon 21 L858R mutation (n = 23) were 73.9% and 9.1 month, and for other types of EGFR mutations (N = 12) were 16.7% and 2.3 months, respectively. In multivariate analysis, the presence of EGFR deletion exon 19 or L858R EGFR mutations in adenocarcinoma patients predicted longer TTF. High copy number of MET seemed to correlate with shorter TTF in patients with gefitinib-sensitive activating EGFR mutations.ConclusionIn this prospective study, EGFR exon 19 deletion or L858R mutations in adenocarcinoma were the best predictors for longer TTF in stage IIIB/IV chemotherapy-naive NSCLC patients receiving first-line gefitinib monotherapy.

Impact of Exon 19 Deletion Subtypes in EGFR-Mutant Metastatic Non–Small-Cell Lung Cancer Treated With First-Line Tyrosine Kinase Inhibitors

2019 ◽  
Vol 20 (2) ◽  
pp. 82-87 ◽  
Author(s):  
Sabrina Rossi ◽  
Luca Toschi ◽  
Giovanna Finocchiaro ◽  
Vincenzo Di Noia ◽  
Maria Bonomi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Tyrosine Kinase ◽  
Small Cell Lung Cancer ◽  
Kinase Inhibitors ◽  
Small Cell ◽  
Small Cell Lung ◽  
First Line ◽  
Exon 19 Deletion ◽  
Egfr Mutant ◽  
Exon 19

Real-world performance of blood-based host immune profiling in first-line immunotherapy treatment in advanced-stage non-small cell lung cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 9545-9545
Author(s):  
R. Brian Mitchell ◽  
Patricia Rich ◽  
Paul R. Walker ◽  
Eric S Schaefer ◽  
Jiahuai Tan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Real World ◽  
Small Cell ◽  
Advanced Stage ◽  
Small Cell Lung ◽  
First Line ◽  
Treatment Naïve ◽  
Nsclc Patients ◽  
Immune Profiling

9545 Background: Immune checkpoint inhibition (ICI) has improved outcomes for many treatment-naïve advanced non-small cell lung cancer (NSCLC) patients. However, better biomarkers are needed to predict patient response and guide treatment decisions considering added toxicity and higher cost of combination treatments. A prospectively designed, observational study assessed the ability of a clinically validated, blood-based, host immune classifier (HIC) to predict ICI therapy outcomes. Methods: The study (NCT03289780) includes 33 US sites having enrolled over 3,000 NSCLC patients at any stage and line of therapy. All enrolled patients are tested and designated HIC-Hot (HIC-H) or HIC-Cold (HIC-C) prior to therapy initiation. An interim analysis of secondary and exploratory endpoints was performed after 12- 18 months (mo) follow-up with the first 2,000 enrolled patients. We report the overall survival (OS) of HIC-defined subgroups comprising advanced stage (IIIB and higher) NSCLC patients treated with first-line regimens (284 ICI containing treatments, 877 total first-line patients). Results: In a real-world clinical setting, OS of advanced stage NSCLC treatment-naïve patients receiving platinum-based chemotherapy (n = 392) did not differ significantly from patients receiving any type of ICI containing regimen (n = 284); 11.7 mo vs. 14.4 mo; hazard ratio (HR) = 0.94 [95% confidence interval (CI): 0.76–1.17], p = 0.59. HIC-H patients experienced longer survival than HIC-C across multiple regimens, including ICI. For all ICI, median OS (mOS) was not reached for HIC-H (n = 196, CI: 15.4 mo–undefined) vs. 5.0 mo (n = 88, CI: 2.9 mo–6.4 mo) for HIC-C patients (HR = 0.38 [CI: 0.27–0.53], p < 0.0001). Similar results were seen in the ICI only (16.8 mo vs. 2.8 mo; n = 117, HR = 0.36 [CI: 0.22–0.58], p < 0.0001) and ICI/chemotherapy combination subgroups (unreached vs. 6.4 mo; n = 161, HR = 0.41 [CI: 0.26–0.67], p = 0.0003). In the PD-L1 high cohort (PD-L1 ≥50%), mOS for HIC-H was not reached (n = 81, CI: 13.9 mo–undefined) vs. 3.9 mo (n = 41, CI: 2.1 mo–7.8 mo) for HIC-C (HR: 0.39 [CI: 0.24-0.66], p = 0.0003). HIC results were independent of PD-L1 score (p = 0.81) and remained predictive of OS in first-line ICI-treated patients when adjusted for PD-L1 and other covariates by multivariate analysis (HR = 0.40 [CI: 0.28-0.58], p < 0.0001). Conclusions: Blood-based host immune profiling may provide clinically meaningful information for selecting NSCLC patients for two common ICI containing regimens independent of and complementary to PD-L1 score.

scholarly journals Biomarkers and Gene Signatures to Predict Durable Response to Pembrolizumab in Non-Small Cell Lung Cancer

Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3828
Author(s):  
Anello Marcello Poma ◽  
Rossella Bruno ◽  
Iacopo Pietrini ◽  
Greta Alì ◽  
Giulia Pasquini ◽  
...  
Keyword(s):  
Lung Cancer ◽  
T Cells ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Immune Cell ◽  
Small Cell ◽  
Small Cell Lung ◽  
First Line ◽  
Durable Response ◽  
Nsclc Patients

Pembrolizumab has been approved as first-line treatment for advanced Non-small cell lung cancer (NSCLC) patients with tumors expressing PD-L1 and in the absence of other targetable alterations. However, not all patients that meet these criteria have a durable benefit. In this monocentric study, we aimed at refining the selection of patients based on the expression of immune genes. Forty-six consecutive advanced NSCLC patients treated with pembrolizumab in first-line setting were enrolled. The expression levels of 770 genes involved in the regulation of the immune system was analysed by the nanoString system. PD-L1 expression was evaluated by immunohistochemistry. Patients with durable clinical benefit had a greater infiltration of cytotoxic cells, exhausted CD8, B-cells, CD45, T-cells, CD8 T-cells and NK cells. Immune cell scores such as CD8 T-cell and NK cell were good predictors of durable response with an AUC of 0.82. Among the immune cell markers, XCL1/2 showed the better performance in predicting durable benefit to pembrolizumab, with an AUC of 0.85. Additionally, CD8A, CD8B and EOMES showed a high specificity (>0.86) in identifying patients with a good response to treatment. In the same series, PD-L1 expression levels had an AUC of 0.61. The characterization of tumor microenvironment, even with the use of single markers, can improve patients’ selection for pembrolizumab treatment.

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