Dataset Information

[A Review of EGFR-TKIs Therapy of Non-small Cell Lung Cancer?with Uncommon EGFR Mutations].

ABSTRACT: Lung cancer is the most common cancer and the leading cause of cancer death. Non-small cell lung cancer (NSCLC) represents over 85% of all lung cancers, and up to 50% of Asian NSCLC patients harboring epidermal growth factor receptor (EGFR) gene mutations. A number of studies have consistently demonstrated that uncommon EGFR-mutated NSCLC patients treated with EGFR-tyrosine kinase inhibitors (EGFR-TKIs) can achieve better survival outcomes. However, because uncommon EGFR mutations are generally associated with reduced sensitivity to EGFR-TKIs, which will bring a negative impact on the result of the study, the majority of clinical trials investigating the efficacy of EGFR-TKIs have included only patients with common EGFR mutations. In addition, uncommon EGFR mutations are rare in themselves, leading to the small number of such patients enrolled in these trials. Due to the small number and highly heterogeneous sensitivity of uncommon EGFR mutations, the efficacy of EGFR-TKIs in patients harboring uncommon EGFR mutations remains elusive. This article reviews the efficacy of EGFR-TKIs in patients with uncommon EGFR mutations, and give some reasonable advice about the selection of treatments for patients with NSCLC who harbor uncommon EGFR mutations.

SUBMITTER: Du W

PROVIDER: S-EPMC6754574 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

[A Review of EGFR-TKIs Therapy of Non-small Cell Lung Cancer with Uncommon EGFR Mutations].

Du Wenxing W Wo Yang Y Lu Tong T Wang Yuanyong Y Jiao Wenjie W

Zhongguo fei ai za zhi = Chinese journal of lung cancer 20190901 9

Lung cancer is the most common cancer and the leading cause of cancer death. Non-small cell lung cancer (NSCLC) represents over 85% of all lung cancers, and up to 50% of Asian NSCLC patients harboring epidermal growth factor receptor (EGFR) gene mutations. A number of studies have consistently demonstrated that uncommon EGFR-mutated NSCLC patients treated with EGFR-tyrosine kinase inhibitors (EGFR-TKIs) can achieve better survival outcomes. However, because uncommon EGFR mutations are generally ...[more]

PMID: 31526464

Similar Datasets

Project description:BackgroundThe prognostic significance of TP53 concurrent mutations in patients with epidermal growth factor receptor (EGFR)- or anaplastic lymphoma kinase (ALK)- mutated advanced non-small-cell lung cancer (NSCLC) who received EGFR-tyrosine kinase inhibitors (TKIs) or ALK-TKIs based targeted therapy remains controversial. Therefore, the present meta-analysis was performed to investigate the association between TP53 concurrent mutations and prognosis of patients with advanced NSCLC undergoing EGFR-TKIs or ALK-TKIs treatments.MethodsEligible studies were identified by searching the online databases PubMed, Embase, Medline, The Cochrane library and Web of Science. Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated to clarify the correlation between TP53 mutation status and prognosis of patients. This meta-analysis was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement.ResultsIn total, 15 studies with 1342 patients were included for final analysis. Overall, concurrent TP53 mutation was associated with unfavorable progression-free survival (PFS) (HR = 1.88, 95%CI: 1.59-2.23, p < 0.001, I2 = 0.0%, P = 0.792) and overall survival (OS) (HR = 1.92, 95%CI: 1.55-2.38, p < 0.001, I2 = 0.0%, P = 0.515). Subgroup analysis based on type of targeted therapy (EGFR-TKIs or ALK-TKIs, pathological type of cancer (adenocarcinoma only or all NSCLC subtypes) and line of treatment (first-line only or all lines) all showed that TP53 mutations was associated with shorter survivals of patients with EGFR-TKIs or ALK-TKIs treatments. Particularly, in patients with first-line EGFR-TKIs treatment, significantly poorer prognosis was observed in patients with TP53 concurrent mutations (pooled HR for PFS: 1.69, 95% CI 1.25-2.27, P < 0.001, I2 = 0.0%, P = 0.473; pooled HR for OS: 1.94, 95% CI 1.36-2.76, P < 0.001, I2 = 0.0%, P = 0.484). Begg's funnel plots and Egger's tests indicated no significant publication bias in this study.ConclusionsThis meta-analysis indicated that concurrent TP53 mutations was a negative prognostic factor and associated with poorer outcomes of patients with EGFR-TKIs or ALK-TKIs treatments in advanced NSCLC. In addition, our study provided evidence that TP53 mutations might be involved in primary resistance to EGFR-TKIs treatments in patients with sensitive EGFR mutations in advanced NSCLC.

Project description:Approximately 10% of the epidermal growth factor receptor (EGFR) mutations in non-small-cell lung cancer (NSCLC) are uncommon EGFR mutations. Although the efficacy of second (2G) or third generation (3G) EGFR tyrosine kinase inhibitors (EGFR-TKIs) in the patients with uncommon EGFR mutation has been proven, further studies are warranted to define the optimal treatment approach for uncommon EGFR mutation-positive NSCLC. This study retrospectively investigated the treatment patterns and outcomes of patients with uncommon EGFR mutation-positive NSCLC from January 2011 to December 2019 at the Samsung Medical Center, Seoul, Korea. During the study, 2121 patients with EGFR mutation-positive NSCLC received first-generation (1G, gefitinib or erlotinib) or 2G EGFR-TKI (afatinib) as the first-line (1L) systemic therapy. Of this, 135 (6.4%) patients harbored uncommon EGFR mutations. Of 135, 54 (40%, 54/135) patients had overlapping mutations with major EGFR mutations. The objective response rate (ORR) for the 1L EGFR-TKI was 63.3%. The median progression-free survivals (PFSs) were 8.6 months (95% CI: 3.8-13.5), 11.7 months (95% CI: 6.6-16.7), 7.7 months (95% CI: 4.9-17.4), and 5.0 months (95% CI: 3.7-6.1) for major uncommon EGFR mutation (G719X, L861Q), compound mutation with major EGFR mutation (Del 19 or EGFR exon 21 p.L858R), other compound mutation, and other uncommon mutations, respectively. The median overall survivals (OSs) were 25.6 months (16.9-34.2), 28.8 (95% CI: 24.4-33.4), 13.5 months (95% CI: 7.4-27.8), and 9.4 months (95% CI: 3.4-10.5) for major uncommon EGFR mutation (G719X), compound mutation with major EGFR mutation (Del 19 or EGFR exon 21 p.L858R), other compound mutation, and other uncommon mutations, respectively. The response rate, median PFS, and OS were 63.3%, 16.3 months (95% CI: 15.6-16.9), and 37.5 months (95% CI: 35.4-39.6) for common EGFR mutation-positive NSCLC. After failing 1L EGFR-TKI, repeated tissue or liquid biopsy were carried out on 44.9% (35/78) of patients with T790M detected in 10/35 (28.6%) patients. With subsequent 3G EGFR-TKI after failing the first-line EGFR-TKI, the ORR and PFS for 3G EGFR-TKI were 80% and 8.9 months (95% CI: 8.0-9.8). These patients showed a median OS of 34.6 months (95% CI: 29.8-39.4). The ORR, PFS and OS were poorer in patients with uncommon (especially other compound and other uncommon mutation) than those with common EGFR mutations. T790M was detected in 28.6% of the uncommon EGFR mutation-positive patients for whom prior 1G/2G EGFR-TKIs failed and underwent repeat biopsy at the time of progression.

Project description:IntroductionEpidermal growth factor receptor (EGFR) 19del and L858R mutation are known as "common mutations" in non-small cell lung cancer (NSCLC) and predict sensitivities to EGFR tyrosine kinase inhibitors (TKIs), whereas 20ins and T790M mutations confer drug-resistance to EGFR-TKIs. The role of the remaining uncommon EGFR mutations remains elusive.MethodsWe retrospectively screened a group of NSCLC patients with uncommon EGFR mutations other than 20ins and T790M. The mutation patterns, use of different generations of EGFR-TKIs, and concurrent genetic alterations were analyzed. Meanwhile, a cohort of patients with single 19del or L858R were included for comparison.ResultsA total of 180/1,300 (13.8%) patients were identified. There were 102 patients with advanced or recurrent NSCLC that received first-line therapy of gefitinib/erlotinib/icotinib and afatinib and were eligible for analysis. The therapeutic outcomes among patients with common mutations (EGFRcm, n = 97), uncommon mutation plus common mutations (EGFRum+EGFRcm, n = 52), complex uncommon mutations (complex EGFRum, n = 22), and single uncommon mutations (single EGFRum, n = 28) were significantly different (ORRs: 76.3%, 61.5%, 54.5%, and 50.0%, respectively, p = 0.023; and mPFS: 13.3, 14.7, 8.1, and 6.0 months, respectively, p = 0.004). Afatinib showed superior efficacy over gefitinib/erlotinib/icotinib in EGFRcm (ORR: 81.0% vs. 75.0%, p = 0.773; mPFS: 19.1 vs. 12.0m, p = 0.036), EGFRum+EGFRcm (ORR: 100% vs. 54.5%, p = 0.017; mPFS: NE vs. 13.6m, p = 0.032), and single EGFRum (ORR: 78.6% vs. 21.4%, p = 0.007; mPFS: 10.1 vs. 3.0m, p = 0.025) groups. Comprehensive genomic profiling by Next Generation Sequencing encompassing multiple cancer-related genes was performed on 51/102 patients; the mPFS of patients without co-mutation (n = 16) and with co-mutations of tumor-suppressor genes (n = 31) and driver oncogenes (n = 4) were 31.1, 9.2, and 12.4 months, respectively (p = 0.046). TP53 mutation was the most common co-alteration and showed significantly shorter mPFS than TP53 wild-type patients (7.0 vs. 31.1m, p < 0.001). Multivariate analysis revealed that concurrent 19del/L858R and tumor-suppressor gene alterations independently predicted better and worse prognosis in patients with uncommon mutations, respectively.ConclusionsUncommon EGFR mutations constitute a highly heterogeneous subgroup of NSCLC that confer different sensitivities to EGFR-TKIs with regard to the mutation patterns. Afatinib may be a better choice for most uncommon EGFR mutations. Concurrent 19del/L858R and tumor-suppressor gene alterations, especially TP53, can be established as prognostic biomarkers.

Dataset Information

[A Review of EGFR-TKIs Therapy of Non-small Cell Lung Cancer?with Uncommon EGFR Mutations].

Publications

[A Review of EGFR-TKIs Therapy of Non-small Cell Lung Cancer with Uncommon EGFR Mutations].

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Dataset Information

[A Review of EGFR-TKIs Therapy of Non-small Cell Lung Cancer?with Uncommon EGFR Mutations].

Publications

[A Review of EGFR-TKIs Therapy of Non-small Cell Lung Cancer with Uncommon EGFR Mutations].

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

[A Review of EGFR-TKIs Therapy of Non-small Cell Lung Cancer with Uncommon EGFR Mutations].