Body Weight is Inversely Associated with Anti-SARS-CoV-2 Antibody Levels after BNT162b2 mRNA Vaccination in Young and Middle Aged Adults.

BACKGROUND: This study aimed to determine factors affecting serum levels of anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies 2 months after coronavirus disease 2019 (COVID-19) vaccination in young and middle aged healthy adults. MATERIALS AND METHODS: Healthcare workers who have no history of SARS-CoV-2 infection, were enrolled at 2 months after second shot of BNT162b2 mRNA COVID-19 vaccine. Antibody immunoglobulin G against the spike protein subunit of SARS-CoV-2 was semi-quantitatively measured using 4 commercial enzyme-linked immunosorbent assay kits. Factors affecting anti-SARS-CoV-2 antibodies levels were investigated. RESULTS: Fifty-one persons (22 - 54 years, male sex; 19.6%) were enrolled and all participants acquired anti-SARS-CoV-2 antibodies in four diagnostic kits. Anti-SARS-CoV-2 antibodies were strongly correlated between diagnostic kits; SG Medical and Genscript (r = 0.942), SG Medical and HB Healthcare (r = 0.903), and HB Healthcare and Genscript (r = 0.868). We investigated factors affecting antibody level using SG medical kit. The median inhibition was 93.1%, and 84.0% of participants showed >90.0% inhibition. Systemic adverse event severity had no association with the anti-SARS-CoV-2 antibodies level. Antibody level was inversely correlated with weight (-0.312, P = 0.027), body mass index (BMI) (r = -0.303, P = 0.032), and body surface area (r = -0.285, P = 0.044). In multivariate analysis, the upper 50% of anti-SARS-CoV-2 antibodies (≥93.1%) was inversely associated with weight (odds ratio [OR]: 0.19; 95% confidence interval [CI]: 0.04 - 0.83 in weight ≥55kg) and BMI (OR: 0.12; 95% CI: 0.03 - 0.61 in BMI ≥22 kg/m²). CONCLUSION: Anti-SARS-CoV-2 antibody was inversely correlated with weight and BMI, which may be used as a marker to predict immune response of BNT162b2 mRNA vaccination in young and middle aged adults. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05083026.

An expression quantitative trait locus variant for LKB1 gene predicts the clinical outcomes of chemotherapy in patients with non-small cell lung cancer.

BACKGROUND: We conducted this study to identify regulatory variants in cancer-related pathway genes which can predict clinical outcomes of chemotherapy in advanced NSCLC, using a comprehensive list of regulatory SNPs prioritized by RegulomeDB. METHODS: A total of 509 potentially functional SNPs in cancer-related pathway genes were evaluated. The SNPs were analyzed in a discovery set (n = 198), and an independent validation set (n = 181). The associations of the SNPs with chemotherapy response and overall survival (OS) were analyzed. RESULTS: In the discovery set, 95 SNPs were significantly associated with clinical outcomes. Among the 95 SNPs, only rs10414193A > G in the intronic region of ARID3A, an eQTL for LKB1, was consistently associated with chemotherapy response and OS in the validation set. In combined analysis, the rs10414193A > G was significantly associated with worse response to chemotherapy (adjusted odds ratio = 0.63, 95% CI = 0.47-0.85, P = 0.002), and with worse OS (adjusted hazard ratio = 1.25, 95% CI = 1.08-1.45, P = 0.004). Luciferase assay showed a significantly higher LKB1 promoter activity associated with rs10414193G allele compared with rs10414193A allele (P = 0.0009). CONCLUSIONS: Our results suggest that rs10414193A > G may be useful for the prediction of clinical outcomes of chemotherapy in advanced NSCLC.

Polymorphisms in Epithelial-Mesenchymal Transition-Related Genes and the Prognosis of Surgically Treated Non-small Cell Lung Cancer.

BACKGROUND: This study was conducted to determine whether single-nucleotide polymorphisms (SNPs) in EMT-related genes may influence the prognosis of NSCLC after surgery. METHODS: There were 88 SNPs in EMT-related genes evaluated in a discovery set of 376 patients who underwent curative surgery for NSCLC. Significantly, 14 SNPs were evaluated in a validation set of 428 patients. Luciferase assay and RT-PCR were conducted to examine functional relevance of polymorphisms. RESULTS: Fourteen SNPs that were associated with survival outcomes in a discovery set were selected for validation. Among those, two SNPs (FOXF2 rs1711972A>C and HEYL rs784621G>A) were replicated in a validation study. In combined analysis, FOXF2 rs1711972 AC+CC genotype was associated with significantly better overall survival (OS) and disease-free survival (DFS) compared with AA genotype (adjusted hazard ratio [aHR] for OS = 0.67, 95% confidence interval [CI] 0.51-0.88, P = 0.004; and aHR for DFS = 0.77, 95% CI 0.62-0.95, P = 0.01). HEYL rs784621 AA genotype exhibited a significantly worse OS compared with GG+GA genotype (aHR for OS = 2.65, 95% CI 1.63-4.31, P = 8 × 10-5). FOXF2 rs1711972C allele had a significantly increased promoter activity than rs1711972A allele (P = 0.01), and HEYL rs784621A allele had a significantly lower promoter activity than rs784621G allele (P = 0.004). FOXF2 rs1711972A>C was significantly associated with increased FOXF2 mRNA expression. CONCLUSIONS: FOXF2 rs1711972A>C and HEYL rs784621G>A were associated with survival outcomes of surgically treated NSCLC. These SNPs may help to identify patients at high risk of poor disease outcomes.

Functional polymorphisms in PD-L1 gene are associated with the prognosis of patients with early stage non-small cell lung cancer.

INTRODUCTION: This study was conducted to investigate whether polymorphisms of genes involved in immune checkpoints can predict the prognosis of patients with early stage non-small cell lung cancer (NSCLC) after surgical resection. MATERIALS AND METHODS: Twelve single nucleotide polymorphisms (SNPs) of PD-1, PD-L1, and CTLA-4 genes were selected and genotyped. A total of 354 patients with early stage NSCLC who underwent curative surgical resection were enrolled. The association of the SNPs with overall survival (OS) was analyzed. RESULTS: Among the 12 SNPs investigated, PD-L1 rs4143815C>G, rs822336G>C, and rs822337T>A were significantly associated with worse survival outcomes in multivariate analyses. When the three SNPs were combined, OS decreased in a dose-dependent manner as the number of bad genotypes increased (Ptrend=0.0003). In the luciferase assay, rs4143815 G allele exhibited a decreased transcription activity compared with C allele (P=0.001), and the rs822336C-rs822337A haplotype had a decreased promoter activity compared with the rs822336G-rs822337T haplotype (P=0.004). Patients with higher expression of PD-L1 mRNA had a better survival compared with lower expression (P=0.03). CONCLUSIONS: PD-L1 polymorphisms may be useful for the prediction of prognosis in patients with surgically resected NSCLC. Further studies are needed to confirm our findings and to understand the role of PD-L1 in the antitumor immunity and prognosis in NSCLC.

Genetic polymorphisms in glycolytic pathway are associated with the prognosis of patients with early stage non-small cell lung cancer.

This study was conducted to investigate whether polymorphisms of genes involved in glycolysis are associated with the prognosis of patients with non-small cell lung cancer (NSCLC) after surgical resection. Forty-four single nucleotide polymorphisms (SNPs) of 17 genes in glycolytic pathway were investigated in a total of 782 patients with NSCLC who underwent curative surgical resection. The association of the SNPs with overall survival (OS) and disease free survival (DFS) were analyzed. Among the 44 SNPs investigated, four SNPs (ENO1 rs2274971A > G, PFKM rs11168417C > T, PFKP rs1132173C > T, PDK2 rs3785921G > A) were significantly associated with survival outcomes in multivariate analyses. When stratified by tumor histology, three SNPs (ENO1 rs2274971A > G, PFKM rs11168417C > T, and PDK2 rs3785921G > A) were significantly associated with OS and/or DFS only in squamous cell carcinoma, whereas PFKP rs1132173C > T exhibited a significant association with survival outcomes only in adenocarcinoma. When the four SNPs were combined, OS and DFS decreased as the number of bad genotypes increased (Ptrend = 8 × 10-4 and 3 × 10-5, respectively). Promoter assays showed that ENO1 rs2274971G allele had significantly higher promoter activity compared to the rs2274971A allele. The four SNPs, especially ENO1 rs2274971A > G, may be useful for the prediction of prognosis in patients with surgically resected NSCLC.

Polymorphisms in cancer-related pathway genes and lung cancer.

We evaluated the associations between potentially functional variants in a comprehensive list of cancer-related genes and lung cancer in a Korean population.A total of 1969 potentially functional single nucleotide polymorphisms (SNPs) of 1151 genes involved in carcinogenesis were evaluated using an Affymetrix custom-made GeneChip in 610 nonsmall cell lung cancer patients and 610 healthy controls. A replication study was conducted in an independent set of 490 cases and 486 controls. 68 SNPs were significantly associated with lung cancer in the discovery set and tested for replication.Among the 68 SNPs, three SNPs (corepressor interacting with RBPJ 1 (CIR1) rs13009079T>C, ribonucleotide reductase M1 (RRM1) rs1465952T>C and solute carrier family 38, member 4 (SLC38A4) rs2429467C>T) consistantly showed significant associations with lung cancer in the replication study. In combined analysis, adjusted odds ratio for CIR1 rs13009079T>C, RRM1 rs1465952T>C and SLC38A4 rs2429467C>T were 0.69, 0.71 and 0.73, respectively (p=4×10-5, 0.01 and 0.001, respectively) under the dominant model. The relative mRNA expression level of CIR1 was significantly associated with rs13009079T>C genotypes in normal lung tissues (ptrend=0.03).These results suggest that the three SNPs, particularly CIR1 rs13009079T>C, may play a role in the pathogenesis of lung cancer.

PD-L1 polymorphism can predict clinical outcomes of non-small cell lung cancer patients treated with first-line paclitaxel-cisplatin chemotherapy.

This study was conducted to investigate whether polymorphisms of genes involved in immune checkpoints can predict the clinical outcomes of patients with advanced stage non-small cell lung cancer (NSCLC) after 1st line paclitaxel-cisplatin chemotherapy. A total of 379 NSCLC patients were enrolled. Twelve single nucleotide polymorphisms (SNPs) of PD-1, PD-L1, and CTLA-4 genes were selected and genotyped. The associations of SNPs with chemotherapy response and overall survival (OS) were analyzed. Among the 12 SNPs investigated, PD-L1 rs2297136T > C and rs4143815C > G were significantly associated with clinical outcomes after chemotherapy. The rs2297136T > C was significantly associated with both better chemotherapy response and better OS, and the rs4143815C > G had a significantly better response to chemotherapy. Consistent with the individual genotype analyses, rs2297136C-rs4143815G haplotype (ht4) carrying variant alleles at both loci was significantly associated with better chemotherapy response and OS compared with combined other haplotypes. Patients with at least one ht4 had significantly better chemotherapy response and OS compared to those without ht4. PD-L1 rs2297136T > C and rs4143815C > G polymorphisms may be useful for the prediction of clinical outcome of 1(st) line paclitaxel-cisplatin chemotherapy in NSCLC. Further studies are needed to confirm our findings and to understand the role of PD-L1 in the chemotherapy outcome of NSCLC patients.

The pri-let-7a-2 rs1143770C>T is associated with prognosis of surgically resected non-small cell lung cancer.

BACKGROUND: Evidence indicates that let-7 of microRNA may be a prognostic factor in lung cancer. Genetic variation in microRNA precursors could influence the processing and expression of microRNAs, which could affect the prognosis of lung cancer. We aimed to investigate the impact of single nucleotide polymorphisms (SNPs) of pri-let-7 on the prognosis of non-small cell lung cancer (NSCLC). METHOD: A total of 761 patients with surgically resected NSCLC were included. Four SNPs (pri-let-7a-2 rs1143770 and rs629367, pri-let-7a-1 rs10739971, and pri-let-7f-2 rs17276588) were genotyped using sequenom mass spectrometry-based genotyping assay. Overall survival (OS) and disease-free survival (DFS) were evaluated using Kaplan-Meier method and Cox proportional hazards model. RESULTS: Of the 4 SNPs evaluated, the rs1143770C>T was found to be significantly associated with OS and DFS. The rs1143770 CT or TT genotype exhibited a significantly better OS and DFS compared with the rs1143770 CC genotype (adjusted hazard ratio for OS=0.67, confidence interval, 0.49-0.91, P=0.01 and adjusted hazard ratio for DFS=0.74, confidence interval, 0.58-0.95, P=0.02). CONCLUSION: This observation indicates that pri-let-7a-2 rs1143770C>T may have a prognostic impact on surgically resected NSCLC.

Functional intronic ERCC1 polymorphism from regulomeDB can predict survival in lung cancer after surgery.

We searched for potential regulatory single nucleotide polymorphisms (SNPs) in excision repair cross-complementing group 1 (ERCC1) using RegulomeDB, a database integrating information from the Encyclopedia of DNA Elements (ENCODE) project, and investigated their association with survival after surgery in non-small cell lung cancer (NSCLC). Among 364 SNPs found within ERCC1 region using RegulomeDB, four top priority SNPs (rs2298881C>A, rs1049739A>G, rs10415949A>G and rs6509214G>T) were selected for this study. The four SNPs were investigated in 316 patients. A replication study was performed (n = 579). Of the four SNPs analyzed in the discovery set, rs2298881C>A and rs6509214G>T were significantly associated with survival outcomes. The association was consistently observed only for rs2298881C>A in the validation cohort. In combined analysis, rs2298881C>A was significantly associated with worse overall survival and disease-free survival (P = 0.0002 and 0.02, respectively). A decreased reporter gene expression for rs2298881 A allele was observed compared with C allele by luciferase assay (P = 0.02). ERCC1 rs2298881C>A, an intronic SNP, is the first genetic polymorphism with functional evidence of regulating its expression, and the SNP is associated with prognosis of NSCLC. Our result supports the role of RegulomeDB as a comprehensive source of prioritized candidate SNPs for genetic association studies.

Putative functional variants of XRCC1 identified by RegulomeDB were not associated with lung cancer risk in a Korean population.

The Encyclopedia of DNA elements (ENCODE) project revealed that nearby or distantly located non-coding DNA regulates the expression of coding genes. RegulomeDB (http://regulome.stanford.edu) is a new database that can be used to predict whether a variant affects transcription factor binding and gene expression. We investigated the association between lung cancer risk and potentially functional polymorphisms of XRCC1 that were selected using RegulomeDB in a Korean population. A total of 185 polymorphisms of XRCC1 were evaluated using RegulomeDB. Strong evidence suggested that 10 polymorphisms, from among the 185, affected XRCC1 expression with scores of 1a-1f that were based on the RegulomeDB scoring system. The rs2854510 polymorphism was rare in Asians (minor allele frequency < 0.05). Eight polymorphisms were in strong linkage disequilibrium (LD). The rs2854509 polymorphism, which was one of the 8 polymorphisms in LD, and rs7248167, which was not in the LD block, were genotyped in 610 lung cancer patients and 607 age- and sex-matched controls. Additionally, four polymorphisms of XRCC1 (rs25487, rs25489, rs1799782, and rs3213245), which were investigated with regard to their association with lung cancer risk in previous studies, were also genotyped. Two polymorphisms (rs2854509 and rs7248167) that were predicted to affect XRCC1 expression based on their RegulomeDB scores were not associated with lung cancer risk (P = 0.31 and 0.93, respectively). When stratified according to age, gender, smoking status, and tumor histology, the two polymorphisms of XRCC1 were not associated with lung cancer risk. Among the four polymorphisms that were previously studied, only rs25489 of XRCC1 was significantly associated with lung cancer risk (dominant model, adjusted odds ratio = 0.61, 95% confidence interval = 0.46-0.83, P = 0.002). Although RegulomeDB is an attractive tool for predicting the regulatory potential of variants, the two polymorphisms that were selected using RegulomeDB were not associated with lung cancer risk.

Telomerase activity and the risk of lung cancer.

Telomerase play a key role in the maintenance of telomere length and chromosome integrity. We have evaluated the association between telomerase activity and the risk of lung cancer in peripheral blood. Telomerase activity in peripheral blood mononuclear cells was measured by a PCR-designed telomeric repeat amplification protocol in 63 lung cancer patients and 190 healthy controls that were matched for age, gender, and smoking status. Telomerase activity was significantly lower in the lung cancer patients than in controls (mean ± standard deviation; 1.32 ± 1.65 vs 2.60 ± 3.09, P < 1 × 10(-4)). When telomerase activity was categorized into quartiles based on telomerase activity in the controls, the risk of lung cancer increased as telomerase activity reduced (P(trend) = 1 × 10(-4)). Moreover, when the subjects were categorized based on the median value of telomerase activity, subjects with low telomerase activity were at a significantly increased risk of lung cancer compared to subjects with high telomerase activity (adjusted odds ratio = 3.05, 95% confidence interval = 1.60-5.82, P = 7 × 10(-4)). These findings suggest that telomerase activity may affect telomere maintenance, thereby contributing to susceptibility to lung cancer.

Comprehensive analysis of DNA repair gene polymorphisms and survival in patients with early stage non-small-cell lung cancer.

This study was conducted to analyze a comprehensive panel of single nucleotide polymorphisms (SNP) in DNA repair genes to determine the relationship between polymorphisms and the survival outcome of patients with early stage non-small-cell lung cancer (NSCLC). Three hundred and ten consecutive patients with surgically resected NSCLC were enrolled. Forty-eight SNP in 27 DNA repair genes were genotyped and their associations with overall survival (OS) and disease-free survival (DFS) were analyzed. Individually, six SNP exhibited significant associations with survival outcome. When the six SNP were combined, OS and DFS decreased as the number of bad genotypes increased (P(trend) <0.0001 for both). Patients with three, and four or five bad genotypes had a significantly worse OS and DFS compared with those carrying zero or one bad genotypes (adjusted hazard ratio [aHR] for OS=3.53, 95% confidence interval [CI]=1.25-9.97, P=0.02, and aHR for DFS=3.31, 95% CI=1.41-7.76, P=0.006; and aHR for OS=5.47, 95% CI=1.87-16.00, P=0.002, and aHR for DFS=4.42, 95% CI=1.82-10.74, P=0.001, respectively). These findings suggest that the six SNP identified can be used as prognostic markers for patients with surgically resected early stage NSCLC.

Polymorphisms in the caspase genes and the risk of lung cancer.

INTRODUCTION: Caspases (CASPs) are important regulators and executioners in apoptosis pathway and play a crucial role in the development and progression of cancer. On the basis of the interactions of CASPs in the apoptotic pathway, we evaluated the association between 11 polymorphisms of CASP3, 6, 7, 8, 9, and 10 genes and the risk of lung cancer. METHODS: The genotypes were determined in 720 patients with lung cancer and 720 healthy controls frequency matched for age and gender. RESULTS: In individual polymorphism analysis, the CASP7 rs2227310C>G and CASP9 rs4645981C>T were associated with 1.40-fold and 1.28-fold increased risk of lung cancer under recessive and dominant models for the variant allele of each polymorphism, respectively. In the case of the CASP3 77G>A, subjects with the GG genotype were at a 1.19-fold increased risk of lung cancer compared with those with at least one variant allele. When the three polymorphisms were combined, the risk of lung cancer increased in a dose-dependent manner as the number of risk genotypes increased (ptrend <0.001). Subjects with two and three risk genotypes carried a significantly increased risk of lung cancer compared with those with zero risk genotype (adjusted odds ratio = 1.56, 95% confidence interval = 1.14-2.13, p = 0.005 and adjusted odds ratio = 2.54, 95% confidence interval = 1.28-5.02, p = 0.008, respectively). CONCLUSIONS: These results suggest that a combined analysis of these three CASP gene polymorphisms might better predict the risk of lung cancer than analysis of a single polymorphism.