scholarly journals CLINICAL IMPLICATION OF DNA METHYLATION ANALYSIS IN THE ORAL EPITHELIUM FOR LUNG CANCER RISK STRATIFICATION

Respirology ◽  
2018 ◽  
Vol 23 ◽  
pp. 69-69
Keyword(s):  
Lung Cancer ◽  
Dna Methylation ◽  
Cancer Risk ◽  
Risk Stratification ◽  
Clinical Implication ◽  
Lung Cancer Risk ◽  
Oral Epithelium ◽  
Methylation Analysis ◽  
Dna Methylation Analysis

Lung cancer risk stratification using methylation profile in the oral epithelium

2018 ◽  
Vol 27 (2) ◽  
pp. 87-92 ◽  
Author(s):  
Hiroaki Harada ◽  
Kazuaki Miyamaoto ◽  
Masami Kimura ◽  
Tetsuro Ishigami ◽  
Kiyomi Taniyama ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Dna Methylation ◽  
Cancer Risk ◽  
Risk Stratification ◽  
Lung Cancer Risk ◽  
Cancer Risk Assessment ◽  
Oral Epithelium ◽  
Specific Gene ◽  
Aberrant Methylation ◽  
Cancer Genes

Background Assuming that the entire airway is affected by the same inhaled carcinogen, similar molecular alterations may occur in the lung and oral cavity. Thus, we hypothesized that DNA methylation profiles in the oral epithelium may be a promising biomarker for lung cancer risk stratification. Methods A methylation-specific polymerase chain reaction was performed on oral epithelium from 16 patients with lung cancer and 32 controls without lung cancer. Genes showing aberrant methylation profiles in the oral epithelium were compared between patients and controls. Results The analysis revealed that HOXD11 and PCDHGB6 were methylated more frequently in patients than in controls ( p = 0.0055 and p = 0.0247, respectively). Combined analyses indicated that 8 of 16 (50%) patients and 3 of 32 (9.4%) controls showed DNA methylation in both genes ( p = 0.0016). Among the population limited to current and former smokers, 6 of 11 (54.5%) patients showed methylation in both genes, compared to 1 of 17 (5.9%) controls ( p = 0.0037). In a subgroup analysis limited to the population above 50-years old, 8 of 16 (50%) patients and 2 of 16 (12.5%) controls showed methylation in both genes ( p = 0.0221). Conclusions The results of this study indicate that specific gene methylation in the oral epithelium might be a promising biomarker for lung cancer risk assessment, especially among smokers. Risk stratification through the analysis of DNA methylation profiles in the oral epithelium may be a useful and less invasive first-step approach in an efficient two-step lung cancer screening strategy.

scholarly journals Epigenome-wide scan identifies differentially methylated regions for lung cancer using pre-diagnostic peripheral blood

2021 ◽  
Author(s):  
Naisi Zhao ◽  
Mengyuan Ruan ◽  
Devin C. Koestler ◽  
Jiayun Lu ◽  
Carmen J. Marsit ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Dna Methylation ◽  
Cancer Risk ◽  
Risk Stratification ◽  
Lung Cancer Risk ◽  
Case Control ◽  
Differentially Methylated Regions ◽  
Blood Draw ◽  
Cpg Sites ◽  
Genomic Regions

AbstractBackgroundTo reduce lung cancer burden in the US, a better understanding of biological mechanisms in early disease development could provide new opportunities for risk stratification.MethodsIn a nested case-control study, we measured blood leukocyte DNA methylation levels in pre-diagnostic samples collected from 430 men and women in the 1989 CLUE II cohort. Median time from blood drawn to diagnosis was 14 years for all participants. We compared DNA methylation levels by case/control status to identify novel genomic regions, both single CpG sites and differentially methylated regions (DMRs), while controlling for known DNA methylation changes associated with smoking using a previously described pack-years based smoking methylation score. Stratification analyses were conducted by time from blood draw to diagnosis, histology, and smoking status.ResultsWe identified sixteen single CpG sites and forty DMRs significantly associated with lung cancer risk (q < 0.05). The identified genomic regions were associated with genes including H19, HOXA4, RUNX3, BRICD5, PLXNB2, and RP13. For the single CpG sites, the strongest association was noted for cg09736286 in the DIABLO gene (OR [for 1 SD] = 2.99, 95% CI: 1.95-4.59, P-value = 4.81 × 10−7). For the DMRs, we found that CpG sites in the HOXA4 region were hypermethylated in cases compared to controls.ConclusionThe single CpG sites and DMRs that we identified represented significant measurable differences in lung cancer risk, providing new insights into the biological processes of early lung cancer development and potential biomarkers for lung cancer risk stratification.

Lung Cancer Risk Stratification Using ML and AI on Sensor-Based IoT

2021 ◽  
pp. 137-151
Author(s):  
Rohit Rastogi ◽  
Mukund Rastogi ◽  
D. K. Chaturvedi ◽  
Sheelu Sagar ◽  
Neeti Tandon
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Risk Stratification ◽  
Lung Cancer Risk

scholarly journals Do we need to see to believe?—radiomics for lung nodule classification and lung cancer risk stratification

2020 ◽  
Vol 12 (6) ◽  
pp. 3303-3316
Author(s):  
Ali Khawaja ◽  
Brian J. Bartholmai ◽  
Srinivasan Rajagopalan ◽  
Ronald A. Karwoski ◽  
Cyril Varghese ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Risk ◽  
Risk Stratification ◽  
Lung Cancer Risk ◽  
Lung Nodule ◽  
Nodule Classification

scholarly journals Establishment of permutation for cancer risk estimation in the urothelium based on genome-wide DNA methylation analysis

2019 ◽  
Vol 40 (11) ◽  
pp. 1308-1319 ◽  
Author(s):  
Koji Tsumura ◽  
Eri Arai ◽  
Ying Tian ◽  
Ayako Shibuya ◽  
Hiroshi Nishihara ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Cancer Risk ◽  
Sensitivity And Specificity ◽  
Validation Cohort ◽  
Risk Estimation ◽  
Field Cancerization ◽  
Methylation Analysis ◽  
Urothelial Carcinomas ◽  
Genome Wide ◽  
Dna Methylation Analysis

Abstract The aim of this study was to establish permutation for cancer risk estimation in the urothelium. Twenty-six samples of normal control urothelium obtained from patients without urothelial carcinomas (C), 47 samples of non-cancerous urothelium without noticeable morphological changes obtained from patients with urothelial carcinomas (N), and 46 samples of the corresponding cancerous tissue (T) in the learning cohort and 64 N samples in the validation cohort, i.e. 183 tissue samples in total, were analyzed. Genome-wide DNA methylation analysis was performed using the Infinium HumanMethylation 450K BeadChip, and DNA methylation levels were verified using pyrosequencing and MassARRAY. Amplicon sequencing was performed using the GeneRead DNAseq Targeted Panels V2. Although N samples rarely showed genetic mutations or copy number alterations, they showed DNA methylation alterations at 2502 CpG sites compared to C samples, and such alterations were inherited by or strengthened in T samples, indicating that DNA methylation alterations may participate in field cancerization in the urothelium. Receiver operating characteristic curve analysis confirmed the feasibility of cancer risk estimation to identify urothelium at the precancerous stage by DNA methylation quantification. Cancer risk estimation permutation was established using a combination of two marker CpG loci on the HOXC4, TENM3 and TLR1 genes (sensitivity and specificity 96–100%). Among them, the diagnostic impact of 10 patterns of permutation was successfully validated in the validation cohort (sensitivity and specificity 94–98%). These data suggest that cancer risk estimation using procedures such as urine tests during health checkups might become applicable for clinical use.

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