EGFR Gene Polymorphism Predicts Improved Outcome in Patients With EGFR Mutation-positive Non-small cell Lung Cancer Treated With Erlotinib

EGFR polymorphisms drive lung cancer risk and survival disparities: a genotype-expression-outcome cohort study

Purpose

To investigate the correlation between single-nucleotide polymorphisms (SNPs) of the Epidermal growth factor receptor (EGFR) gene and its protein expression with susceptibility and survival prognosis of lung cancer (LC) patients.

Methods

Using SNP-scan high-throughput technology, the EGFR gene's rs2227983, rs2293347, and rs884225 locations were analyzed in 300 LC patients and 150 healthy individuals. And small cell lung cancer (SCLC), lung adenocarcinoma (LUAD), and lung squamous carcinoma (LUSC) were subdivided into groups for lung cancer patients. Chi-square test and logistic regression analysis were used to assess the susceptibility of LC. The correlation between SNP haplotypes and LC risk was analyzed using the SHEsis website. KM curves and Cox regression were used to analyse the association between polymorphisms and survival prognosis of LC patients. Expression differences in protein levels were analyzed using immunohistochemistry.

Results

EGFR rs2293347 was associated with LUAD, LUSC, and SCLC susceptibility, and rs884225 was associated with LUAD susceptibility. Haplotype ATT was associated with LC and histological type LUAD and SCLC susceptibility. Meanwhile, rs2293347-TT and rs884225-TT were associated with worse prognosis, and rs2293347-TT was an independent risk factor for prognosis in patients with LC. Furthermore, tumor tissue EGFR protein levels were elevated in patients with both genotypes.

Conclusion

EGFR rs2293347 (pan-subtype) and rs884225 (LUAD-specific) polymorphisms increase LC risk through elevated protein expression, with rs2293347-TT conferring worse survival. These genotype-protein correlations highlight their dual role as susceptibility markers and prognostic predictors in precision oncology.

Investigating the frequencies of EGFR mutations and EGFR single nucleotide polymorphisms genotypes and their predictive role in NSCLC patients in Republic of Serbia

BACKGROUND

Genetic factors influence non-small cell lung cancer (NSCLC) development, progression and treatment response. Epidermal growth factor receptor (EGFR) variants, particularly single nucleotide polymorphisms (SNPs), were linked to clinical outcomes in NSCLC. The general objective of this study was to examine frequencies of -191 C/A and - 216G/T EGFR SNPs, EGFR mutation profiles and their associations among gender, age, and smoking status.

PATIENTS AND METHODS

A cohort of 211 NSCLC patients (131 males and 80 females) from the Republic of Serbia was analyzed. PCR-RFLP genotyping was used for EGFR SNPs, and real-time PCR for detection of EGFR mutations. Cramér's V statistic, Chi-square tests, and binary logistic regression, were employed to explore the associations between EGFR SNPs, EGFR mutation status, and demographic factors. Data were analyzed using SPSS-27 software (SPSS, Inc.) and R software (version 4.3.2).

RESULTS

Statistical significance with moderate associations was found between smoking status and EGFR mutation status. A significant correlation was also observed between smoking and the - 216GG genotype (p = 0.016). Notably, male smokers with EGFR wild-type status and female non-smokers with EGFR mutations showed the highest frequencies of the - 216GG genotype. Binary logistic regression confirmed that the - 216G/T (p = 0.049) and smoking status (p ≤ 0.001) were significantly associated with the presence of EGFR mutations in females.

CONCLUSION

The - 216G/T SNP and smoking status may serve as potential predictors for EGFR mutation status in NSCLC patients. Further studies are warranted to confirm these associations and assess their implications for personalized treatment approach.

The interaction effects of FEN1 rs174538 polymorphism and polycyclic aromatic hydrocarbon exposure on damage in exon 19 and 21 of EGFR gene in coke oven workers

Polycyclic aromatic hydrocarbon (PAH) exposure and genetic susceptibility were conductive to genotoxic effects including gene damage, which can increase mutational probability. We aimed to explore the dose-effect associations of PAH exposure with damage of exons of epidermal growth factor receptor (EGFR) and breast cancer susceptibility gene 1 (BRCA1), as well as their associations whether modified by Flap endonuclease 1 (FEN1) genotype. Two hundred eighty-eight coke oven male workers were recruited, and we detected the concentration of 1-hydroxypyrene (1-OH-pyr) as PAH exposure biomarker in urine and examined base modification in exons of EGFR and BRCA1 respectively, and genotyped FEN1 rs174538 polymorphism in plasma. We found that the damage indexes of exon 19 and 21 of EGFR (EGFR-19 and EGFR-21) were both significantly associated with increased urinary 1-OH-pyr (both Ptrend < 0.001). The levels of urinary 1-OH-pyr were both significantly associated with increased EGFR-19 and EGFR-21 in both smokers and nonsmokers (both P < 0.001). Additionally, we observed that the urinary 1-OH-pyr concentrations were linearly associated with both EGFR-19 and EGFR-21 only in rs174538 GA+AA genotype carriers (both P < 0.001). Moreover, FEN1rs rs174538 showed modifying effects on the associations of urinary 1-OH-pyr with EGFR-19 and EGFR-21 (both Pinteraction < 0.05). Our findings revealed the linear dose-effect association between exon damage of EGFR and PAH exposure and highlight differences in genetic contributions to exon damage and have the potential to identify at-risk subpopulations who are susceptible to adverse health effects induced by PAH exposure.

Clinical Value of EGFR Copy Number Gain Determined by Amplicon-Based Targeted Next Generation Sequencing in Patients with EGFR-Mutated NSCLC

BACKGROUND

The clinical relevance of epidermal growth factor receptor (EGFR) copy number gain in patients with EGFR mutated advanced non-small cell lung cancer on first-line tyrosine kinase inhibitor treatment has not been fully elucidated.

OBJECTIVE

We aimed to estimate EGFR copy number gain using amplicon-based next generation sequencing data and explored its prognostic value.

PATIENTS AND METHODS

Next generation sequencing data were obtained for 1566 patients with non-small cell lung cancer. EGFR copy number gain was defined based on an increase in EGFR read counts relative to internal reference amplicons and normal controls in combination with a modified z-score ≥ 3.5. Clinical follow-up data were available for 60 patients treated with first-line EGFR-tyrosine kinase inhibitors.

RESULTS

Specificity and sensitivity of next generation sequencing-based EGFR copy number estimations were above 90%. EGFR copy number gain was observed in 27.9% of EGFR mutant cases and in 7.4% of EGFR wild-type cases. EGFR gain was not associated with progression-free survival but showed a significant effect on overall survival with an adjusted hazard ratio of 3.14 (95% confidence interval 1.46-6.78, p = 0.003). Besides EGFR copy number gain, osimertinib in second or subsequent lines of treatment and the presence of T790M at relapse revealed significant effects in a multivariate analysis with adjusted hazard ratio of 0.43 (95% confidence interval 0.20-0.91, p = 0.028) and 0.24 (95% confidence interval 0.1-0.59, p = 0.001), respectively.

CONCLUSIONS

Pre-treatment EGFR copy number gain determined by amplicon-based next generation sequencing data predicts worse overall survival in EGFR-mutated patients treated with first-line EGFR-tyrosine kinase inhibitors. T790M at relapse and subsequent treatment with osimertinib predict longer overall survival.

Association between EGFR Gene Mutation and Antioxidant Gene Polymorphism of Non-Small-Cell Lung Cancer

EGFR mutation status is considered as an important predictor of therapeutic responsiveness in non-small-cell lung carcinoma patients. Recent evidence suggests that antioxidant gene polymorphisms are potential predictors of lung cancer risk. Thus, stratification of EGFR mutation-related phenotypes by antioxidant gene polymorphism status can be an effective approach in terms of improving the prognosis of lung cancer patients. The present study was designed to evaluate the distribution frequency of antioxidant gene polymorphisms in lung adenocarcinoma, as well as its association with hotspot EGFR mutations. The study findings revealed that a statistically significant association exists between EGFR L858R mutation and AG + GG genotypes of SOD rs4880 polymorphism. Furthermore, the subgroup analysis data revealed that compared to AA genotype of SOD rs4880, AG + GG genotypes were significantly associated with advanced cancer stage and distant metastasis. Taken together, these findings can be utilized clinically to predict cancer aggressiveness, metastatic, potential and therapeutic responsiveness of lung cancer patients.

External Replication of Urinary Bladder Cancer Prognostic Polymorphisms in the UK Biobank

Introduction: Multiple studies have reported genetic associations with prognostic outcomes of urinary bladder cancer. However, the lack of replication of these associations prohibits establishing further evidence-based research directions. Moreover, there is a lack of independent bladder cancer patient samples that contain prognostic measures, making genetic replication analyses even more challenging.

Materials and Methods: We have identified 1,534 eligible patients and used data on Hospital Episode Statistics in the UK Biobank to model variables of otherwise non-collected events on bladder cancer recurrence and progression. Data on survival was extracted from the Death Registry. We have used SNPTEST software to replicate previously reported genetic associations with bladder cancer recurrence (N = 69), progression (N = 23), survival (N = 53), and age at the time of diagnosis (N = 20).

Results: Using our algorithm, we have identified 618 recurrence and 58 UBC progression events. In total, there were 209 deaths (106 UBC-specific). In replication analyses, eight SNPs have reached nominal statistical significance (p < 0.05). Rs2042329 (CWC27) for UBC recurrence; rs804256, rs4639, and rs804276 (in/close to NEIL2) for NMIBC recurrence; rs2293347 (EGFR) for UBC OS; rs3756712 (PDCD6) for NMIBC OS; rs2344673 (RGS5) for MIBC OS, and rs2297518 (NOS2) for UBC progression. However, none have remained significant after adjustments for multiple comparisons.

Discussion: External replication in genetic epidemiology is an essential step to identify credible findings. In our study, we identify potential genetic targets of higher interest for UBC prognosis. In addition, we propose an algorithm for identifying UBC recurrence and progression using routinely-collected data on patient interventions.

Why Be One Protein When You Can Affect Many? The Multiple Roles of YB-1 in Lung Cancer and Mesothelioma

Lung cancers and malignant pleural mesothelioma (MPM) have some of the worst 5-year survival rates of all cancer types, primarily due to a lack of effective treatment options for most patients. Targeted therapies have shown some promise in thoracic cancers, although efficacy is limited only to patients harboring specific mutations or target expression. Although a number of actionable mutations have now been identified, a large population of thoracic cancer patients have no therapeutic options outside of first-line chemotherapy. It is therefore crucial to identify alternative targets that might lead to the development of new ways of treating patients diagnosed with these diseases. The multifunctional oncoprotein Y-box binding protein-1 (YB-1) could serve as one such target. Recent studies also link this protein to many inherent behaviors of thoracic cancer cells such as proliferation, invasion, metastasis and involvement in cancer stem-like cells. Here, we review the regulation of YB-1 at the transcriptional, translational, post-translational and sub-cellular levels in thoracic cancer and discuss its potential use as a biomarker and therapeutic target.