The mutation profile of genes related to primary resistance to EGFR-TKI in early NSCLC.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21014-e21014
Author(s):  
Jiangang Ye ◽  
Qi Zhang ◽  
Xing Zhang ◽  
Huijuan Qin ◽  
Minqi Tian

e21014 Background: In targeted therapy for patients with advanced non-small cell lung cancer (NSCLC), approximately 30% of NSCLC patients with EGFR mutations develop primary resistance at the beginning of treatment with TKIs. However, the knowledge of primary resistance in early-stage NSCLC patients with EGFR positve remains poorly understood. Methods: Mutations of nine genes that may be related to primary resistance EGFR TKIs in advanced non-small cell lung cancer were chosen through pubmed and other databases including EGFR T790M, EGFR 20ins, PIK3CA, KRAS, BRAF, ERBB2 amplification, MET amplification, PTEN deletion and BCL2L11 deletion. Gene mutations related to primary resistance in patients with early-stage lung cancer (I-IIIA) from the TCGA database were analyzed. Results: According to TCGA database, there were 1089 patients with NSCLC of which 585 were lung adenocarcinoma and 504 lung were squamous cell carcinoma. A number of 46 EGFR-sensitive (19del / L858R) mutations were observed in adenocarcinoma, of which the clinical information of which 44 cases harbored competed clinical information including 39 patients with early stage could be identified as follows,1 patient in stage I, 11 patients in stage IA, 8 patients in stage IB, 7 patients in stage IIA, 4 patients in stage IIB, 8 patients in stage IIIA, 1 patient in stage IIIB and 4 patients in stage IV, respectively. Among the 39 cases of early non-small cell lung cancer with EGFR-sensitive mutations, 2 case of EGFR T790M mutations (5.12%), 2 case of PIK3CA (5.12%), 2 case of BRAF (5.12%), 11 case of MET (DUP) (28.2 %), 8 case of ERBB2 (DUP) (20.5%) and 5 case of PTEN (Del) (12.8%) mutations were observed respectively. Meanwhile, none of primary resistance gene mutations could be found in non-small cell lung squamous cell cancer(0/1). Conclusions: The presence of different mutation frequency in the primary resistance genes associated with EGFR TKIs in patients with early NSCLC was proved. Our study suggested it was necessary for patients to test mutations in primary resistance genes before accepted the adjuvant and neoadjuvant therapy using TKIs. As a retrospective study with a relatively small population, the conclusions of this study needed to be verified with a larger sample.

2020 ◽  
Vol 245 (16) ◽  
pp. 1428-1436
Author(s):  
Zhi-Jun Zhang ◽  
Xing-Guo Song ◽  
Li Xie ◽  
Kang-Yu Wang ◽  
You-Yong Tang ◽  
...  

Circulating exosomal microRNAs (ExmiRNAs) provide an ideal non-invasive method for cancer diagnosis. In this study, we evaluated two circulating ExmiRNAs in NSCLC patients as a diagnostic tool for early-stage non-small lung cancer (NSCLC). The exosomes were characterized by qNano, transmission electron microscopy, and Western blot, and the ExmiRNA expression was measured by microarrays. The differentially expressed miRNAs were verified by RT-qPCR using peripheral blood specimens from NSCLC patients ( n = 276, 0 and I stage: n = 104) and healthy donors ( n = 282). The diagnostic values were measured by receiver operating characteristic (ROC) analysis. The results show that the expression of both ExmiR-20b-5p and ExmiR-3187-5p was drastically reduced in NSCLC patients. The area under the ROC curve (AUC) was determined to be 0.818 and 0.690 for ExmiR-20b-5p and ExmiR-3187-5p, respectively. When these two ExmiRNAs were combined, the AUC increased to 0.848. When the ExmiRNAs were administered with either carcinoembryonic antigen (CEA) or cytokeratin-19-fragment (CYFRA21-1), the AUC was further improved to 0.905 and 0.894, respectively. Additionally, both ExmiR-20b-5p and ExmiR-3187-5p could be used to distinguish early stages NSCLC (0 and I stage) from the healthy controls. The ROC curves showed that the AUCs were 0.810 and 0.673, respectively. Combination of ExmiR-20b-5p and ExmiR-3187-5p enhanced the AUC to 0.838. When CEA and CYFRA21-1 were administered with the ExmiRNAs, the AUCs were improved to 0.930 and 0.928, respectively. In summary, circulating serum exosomal miR-20b-5p and miR-3187-5p could be used as effective, non-invasive biomarkers for the diagnosis of early-stage NSCLC, and the effects were further improved when the ExmiRNAs were combined. Impact statement The high mortality of non-small cell lung cancer (NSCLC) is mainly because the cancer has progressed to a more advanced stage before diagnosis. If NSCLC can be diagnosed at early stages, especially stage 0 or I, the overall survival rate will be largely improved by definitive treatment such as lobectomy. We herein validated two novel circulating serum ExmiRs as diagnostic biomarkers for early-stage NSCLC to fulfill the unmet medical need. Considering the number of specimens in this study, circulating serum exosomal miR-20b-5p and miR-3187-5p are putative NSCLC biomarkers, which need to be further investigated in a larger randomized controlled clinical trial.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e20048-e20048
Author(s):  
Guanxian Mao ◽  
Peng Xuxing ◽  
Wu Hao ◽  
Wang Junbing ◽  
Liu Suyue ◽  
...  

e20048 Background: Many studies have reported mutation landscapes of non-small cell lung cancer (NSCLC), but most of the data were from advanced-stage patients. This study reports the mutation landscape of early-stage NSCLC patients. Methods: Many studies have reported mutation landscapes of non-small cell lung cancer (NSCLC), but most of the data were from advanced-stage patients. This study reports the mutation landscape of early-stage NSCLC patients. Results: In all, 74 tDNA and ctDNA samples were analyzed. A total of 285 mutations were identified, including 174 in tDNA and 111 in plasma ctDNA. Genes with the highest -frequencies of mutations in tDNA were EGFR, TP53, KMT2B, BRAF, PIK3CA, CDKN2A, and KRAS,while TP53, EGFR, NOTCH3, PIK3CA, andATM were the genes with the highest frequencies of mutations in ctDNA. The detection rate of driver mutations in tDNA and ctDNA, respectively, were: 42.9% (15/35) and 12.8% (5/39) for EGFR, 5.7% (2/35) and 2.6% (1/39) for ALK, 5.7% (2/35) and 2.6% (1/39) for ERBB2, 11.4% (4/35) and 0%)0/39) for BRAF,5.7% (2/35) and 0%)0/39) for RET, 37% (13/35) and 23.1% (9/39) for TP53. Conclusions: In all, 74 tDNA and ctDNA samples were analyzed. A total of 285 mutations were identified, including 174 in tDNA and 111 in plasma ctDNA. Genes with the highest -frequencies of mutations in tDNA were EGFR, TP53, KMT2B, BRAF, PIK3CA, CDKN2A, and KRAS,while TP53, EGFR, NOTCH3, PIK3CA, andATM were the genes with the highest frequencies of mutations in ctDNA. The detection rate of driver mutations in tDNA and ctDNA, respectively, were: 42.9% (15/35) and 12.8% (5/39) for EGFR, 5.7% (2/35) and 2.6% (1/39) for ALK, 5.7% (2/35) and 2.6% (1/39) for ERBB2, 11.4% (4/35) and 0% )0/39) for BRAF,5.7% (2/35) and 0% )0/39) for RET, 37% (13/35) and 23.1% (9/39) for TP53.


2020 ◽  
Author(s):  
Rajeshwar Singh Jamwal ◽  
Nikita Mahajan ◽  
Gh. Rasool Bhat ◽  
Amrita Bhat ◽  
Bhanu Sharma ◽  
...  

Abstract Background: Non-small cell lung cancer (NSCLC) is the most prevalent type of lung cancer accounting for 80–85% of all lung cancer cases. Various genetic studies have tried to reveal the association of REV3L (Protein reversion less 3-like) gene mutations with cancer, including lung cancer but no such study has been carried out in the population of Jammu and Kashmir (J&K).Methods: The selected REV3L variants were genotyped using the TaqMan allele discrimination assay in 550 subjects (203 NSCLC patients and 347 healthy controls). The association of variants was evaluated by logistic regression.Results: Out of the four REV3L variants genotyped, we found rs1002481, rs462779, and rs465646 significantly associated with NSCLC risk with an Odds Ratio (OR) of 3.5 (1.98–6.3 at 95% CI ), p value = 0.00002; OR = 4.4 (1.8–10.4 at 95% CI ), p value = 0.00075; and OR = 2.4 (1.47–4.008 at 95% CI ), p value = 0.00053, respectively.Conclusion: Our data suggest a strong association of variants rs1002481, rs462779, rs465646 with NSCLC. This association is indicative of a potential role of mutations in the REV3L gene as risk factor for the development of NSCLC in the studied population. Although a first report from any Indian population, these variants have been previously reported to be associated with lung and colorectal cancers in different world populations. These data along with our data supports the notation that these variants can be used as potential prognostic biomarker.


Medicina ◽  
2021 ◽  
Vol 57 (12) ◽  
pp. 1365
Author(s):  
Hiroaki Kuroda ◽  
Junji Ichinose ◽  
Katsuhiro Masago ◽  
Yusuke Takahashi ◽  
Takeo Nakada ◽  
...  

Background and Objectives: Lobe-specific nodal dissection (L-SND) is currently acceptable for the dissection of early-stage non-small cell lung cancer (NSCLC) but not for cancers of more advanced clinical stages. We aimed to assess the efficacy of L-SND, compared to systemic nodal dissection (SND). Materials and Methods: We retrospectively collected the clinical data of patients with carcinoembryonic antigen (CEA) abnormality who underwent complete resection of NSCLC via lobectomy or more in addition to either SND or L-SND at two cancer-specific institutions from January 2006 to December 2017. Results: A total of 799 patients, including 265 patients who underwent SND and 534 patients who underwent L-SND, were included. On multivariate analysis, thoracotomy, more than lobectomy, cN1-2, advanced pathological stage, adjuvant treatment, and EGFR or ALK were strongly associated with SND. No significant differences were found in overall survival, disease-free survival, and overtime survival after propensity adjustment (p = 0.09, p = 0.11, and p = 0.50, respectively). There were no significant differences in local (p = 0.16), regional (p = 0.72), or distant (p = 0.39) tumor recurrence between the two groups. Conclusions: SND did not improve the prognosis of NSCLC patients with CEA abnormality. Complete pulmonary resection via L-SND seems useful for NSCLC patients with CEA abnormality.


2021 ◽  
Vol 11 ◽  
Author(s):  
Tao Shi ◽  
Shuai Zhu ◽  
Hengjuan Guo ◽  
Xiongfei Li ◽  
Shikang Zhao ◽  
...  

IntroductionPrevious studies have demonstrated that programmed cell death-ligand 1 (PD-L1) serves as biomarker for poor prognosis and survival in advanced-stage non-small cell lung cancer (NSCLC) patients. However, the merit of PD-L1 expression to predict the prognosis of early stage NSCLC patients who underwent complete resection remains controversial. In the present study, we performed a meta-analysis to investigate the relationship between PD-L1 expression and prognosis in patients with early stage resected NSCLC.MethodsElectronic databases, including PubMed, EMBASE, and the Cochrane Library, were searched until July 23 2020 for studies evaluating the expression of PD-L1 and the prognosis of resected NSCLCs. Hazard ratios (HRs) with 95% confidence intervals (CIs) of overall survival (OS) and disease-free survival (DFS) were pooled and analyzed. Heterogeneity and publication bias analyses were also assessed.ResultsA total of 15 studies involving 3,790 patients were considered in the present meta-analysis. The pooled HR indicated that PD-L1 expression related to a much shorter DFS (HR = 1.56, 95% CI: 1.18–2.05, p < 0.01), as well a significantly worse OS (HR = 1.68, 95% CI: 1.29–2.18, p < 0.01). Furthermore, our analysis indicated that PD-L1 expression was significantly associated with gender (male vs. female: OR = 1.27, 95% CI:1.01–1.59, p = 0.038), histology (ADC vs. SCC: OR = 0.54, 95% CI:0.38–0.77, p = 0.001), TNM stage (I vs. II–III: OR = 0.45, 95% CI:0.34–0.60, p = 0.000), smoking status (Yes vs No: OR = 1.43, 95% CI:1.14–1.80, p = 0.002) and lymph node metastasis (N+ vs N−: OR = 1.97, 95% CI:1.26–3.08, p = 0.003).ConclusionsThe results of this meta-analysis suggest that PD-L1 expression predicts an unfavorable prognosis in early stage resected NSCLCs. The role of personalized anti-PD-L1/PD-1 immunotherapy in the adjuvant settings of resected NSCLC warrants further investigation.


Sign in / Sign up

Export Citation Format

Share Document