Epidermal growth factor receptor mutations and their correlation with epidermal growth factor receptor-tyrosine kinase inhibitor therapy and association with the characteristics of patients with non-small-cell lung cancer: A meta-analysis.

Thorac Cancer

Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, China Department of Seven-Yeared Clinical Medicine, China Medical University, Shenyang, China.

Published: August 2011

Background: Many studies have demonstrated that epidermal growth factor receptor (EGFR) mutation is associated with the response to therapy with single agent EGFR-tyrosine kinase inhibitors (EGFR-TKI) in non-small cell lung cancer (NSCLC) patients, but the extent of the effect is varied. We carried out a meta-analysis to assess the association between EGFR mutation and the efficacy of EGFR-TKI therapy and the independent predictor of EGFR mutation in order to identify who would be likely to benefit from this kind of therapy.

Methods: All literature relating to EGFR mutation and EGFR-TKI therapy was researched and carefully selected. Related variables were abstracted and the pooled odds ratio calculated after a heterogeneity test with the software, State 10. Publication bias was evaluated at the same time.

Results: Seventeen studies were included according to the selection criteria. We found a statistically significant higher probability of response in patients with an EGFR mutation versus wild-type (19.33, 95% CI, 13.61-27.46, P < 0.0001). Furthermore, the pooled odds ration of susceptibility to EGFR mutation among female patients compared with male patients was 3.01 (95% confidence interval (CI), 2.34-3.88 P < 0.0001), adenocarcinoma patients compared with non-adenocarcinoma patients was 5.40 (95% CI, 2.55-11.40 P < 0.0001), and non-smoker patients compared smoker patients was 19.33 (95% CI:,13.61-27.46 P < 0.0001). The publication bias analysis had no statistically significant results.

Conclusion: Female, adenocarcinoma and non-smoker are independent predictors for the EGFR mutation. Efficacy of EGFR-TKI therapy favors patients with an EGFR mutation. Without the gene mutational analysis, patients selected for EGFR-TKI therapy should be female non-smokers with adenocarcinoma.

Download full-text PDF

Source
http://dx.doi.org/10.1111/j.1759-7714.2011.00051.xDOI Listing

Publication Analysis

Top Keywords

egfr mutation
32
egfr-tki therapy
16
epidermal growth
12
growth factor
12
patients compared
12
patients
11
factor receptor
8
lung cancer
8
egfr
8
mutation
8

Similar Publications

Background: The benefit of treatment with tyrosine kinase inhibitors targeting the epidermal growth factor receptor (EGFR-TKI) for lung adenocarcinoma (ADC), stratified by ethnicity, has not yet been fully elucidated.

Methods: We searched PubMed, Embase, and Cochrane databases for studies that investigated EGFR-TKI for lung ADC. We computed hazard ratios (HRs) or risk ratios (RRs) for binary endpoints, with 95% confidence intervals (CIs).

View Article and Find Full Text PDF

Immune checkpoint inhibitors (ICIs) are effective in treating recurrent/metastatic head and neck squamous cell carcinoma (HNSCC), but only 20% of patients achieve durable responses. This study evaluated circulating tumor DNA (ctDNA) as a real-time biomarker for monitoring treatment response in HNSCC. The SHIZUKU-HN study prospectively collected and analyzed serial plasma samples (n = 27) from HNSCC patients undergoing ICIs, using Guardant360 to assess ctDNA variant allele frequency (VAF) and genetic mutations.

View Article and Find Full Text PDF

Computational-aided rational mutation design of pertuzumab to overcome active HER2 mutation S310F through antibody-drug conjugates.

Proc Natl Acad Sci U S A

January 2025

Laboratory of Precision Medicine and Biopharmaceuticals, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China.

Recurrent missense mutations in the human epidermal growth factor receptor 2 (HER2) have been identified across various human cancers. Among these mutations, the active S310F mutation in the HER2 extracellular domain stands out as not only oncogenic but also confers resistance to pertuzumab, an antibody drug widely used in clinical cancer therapy, by impeding its binding. In this study, we have successfully employed computational-aided rational design to undertake directed evolution of pertuzumab, resulting in the creation of an evolved pertuzumab variant named Ptz-SA.

View Article and Find Full Text PDF

Objective: This study focuses on epidermal growth factor receptor-mutated lung adenocarcinoma, known for frequent brain metastasis. It aimed to compare the clinical outcomes and cost-effectiveness of combining Gamma Knife radiosurgery (GKRS) with tyrosine kinase inhibitors (TKIs) (GKRS+TKI group) versus TKIs alone (TKI group) for the treatment of patients with newly diagnosed brain metastasis in this condition.

Methods: Study characteristics of the two groups were matched using inverse probability of treatment weighting (IPTW).

View Article and Find Full Text PDF

Successful treatment of epidermal growth factor receptor exon 19 deletion non-small cell lung cancer with almonertinib after osimertinib-induced interstitial lung disease: A case report.

J Cancer Res Ther

December 2024

Department of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Lung Cancer Institute, Shandong, China.

Osimertinib, a third-generation epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI), has revolutionized one of the standard most efficient treatments for EGFR mutation-positive non-small cell lung cancer (NSCLC). Osimertinib, a third-generation EGFR-TKI, is currently one of most efficient treatments in clinical practice. However, it has a potentially fatal side effect: interstitial lung disease (ILD).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!