The incidence of thyroid cancer continues to increase steadily, and this increasing incidence cannot be attributed solely to the overdiagnosis of microcarcinoma or technical advancements in detection methods and may also depend on environmental and genetic factors. However, the impacts and interactions of genetic and environmental factors remain controversial, and they may differ in Eastern and Western countries. The study’s purpose was to identify single nucleotide polymorphisms of genes related to cell differentiation and inflammation to influence thyroid cancer incidence and determine interactions with lifestyles in a large city hospital-based cohort. Genetic variants were selected by genome-wide association study with thyroid cancer participants (case; n = 495) and controls without cancers (n = 56,439). SNPs having gene–gene interactions were selected by generalized multifactor dimensionality reduction. Polygenic risk scores (PRSs) were generated by summing the number of selected SNP risk alleles. PRSs of the best model included 6 SNPs, that is, DIRC3_rs6759952, GAP43_rs13059137, NRG1_rs7834206, PROM1_rs72616195, LRP1B_rs1369535, and LOC100507065_rs11175834. Participants with a high-PRS had a higher thyroid cancer risk by 3.9-fold than those with a low-PRS. The following variables were related to an increased thyroid cancer risk; female (OR = 4.21), high white blood cell count (OR = 4.03), and high energy (OR = 7.00), low alcohol (OR = 4.11), and high seaweed (OR = 4.02) intakes. These variables also interacted with PRS to influence thyroid cancer risk. Meat/noodle diet patterns interacted with PRSs to increase thyroid cancer risk (p = 0.0023). In conclusion, women with a high-PRS associated with cell differentiation and inflammation were at an elevated thyroid cancer risk. Daily energy, seaweeds, and alcohol intake interacted with PRS for thyroid cancer risk. These results could be applied to personalized nutrition plans to reduce the risk of thyroid cancer.

Gastric cancer is one of the most prevalent cancers in Asia, and has a significant global incidence. However, the impact of fried food consumption on gastric cancer risk remains uncertain, mainly due to the limited number of participants in previous studies. To address this knowledge gap, we aimed to examine the association between fried food intake and gastric cancer incidence through a comprehensive meta-analysis. We conducted a thorough search across multiple databases, including PubMed, EMBASE, Google Scholar, Cochrane Library, China National Knowledge Infrastructure (CNKI), Korean Information Service System (KISS), and Research Information Service System (RISS), to collect studies. The newly analyzed results of the Korean Genome and Epidemiology Study (KoGES) findings were added. We assessed integrated odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) from the selected studies using Cochrane RevMan 5.0 for the meta-analysis. The quality of the studies included in the meta-analysis was assessed using the Study Quality Assessment Tool of the National Heart, Lung, and Blood Institute (NHLBI). We included 18 studies in the analysis, which compared the impact of fried food intake in gastric cancer patients (n = 5739) and healthy adults (control, n = 70,933). There was a significant positive association between gastric cancer risk and fried food intake (OR = 1.52, 95% CI = 1.23–1.87, I2 = 76%, p = 0.0001). The relationship was found to be significant in both non-East Asians (OR = 1.48, 95% CI = 1.18–1.85, I2 = 31%, p = 0.0006) and East Asians (OR = 1.54, 95% CI = 1.14–2.08, I2 = 83%, p = 0.005). In conclusion, this meta-analysis supports the notion that fried food intake is associated with an increased risk of gastric cancer in both non-Asians and Asians. Promoting a reduction in fried food consumption as a measure against gastric cancer risk is recommended.

Backgrounds: Early menstruation, late menopause, no pregnancy, and genetic factors are known risk factors of the disease, but their effects may differ in Asian and Caucasian women. The purpose of this study was to identify genetic variants of genes related to estrogen signaling in a large city hospital-based cohort and to determine their interactions with lifestyles. Methods: This is a case-control study. Three hundred ninety participants diagnosed with breast cancer were compared with 36,290 controls(no cancer)to explore the genetic variants to influence breast cancer risk. Based on GWAS results, the selected genetic variants were subjected to their interactions by generalized multifactor dimensionality reduction (GMDR) analysis. Results: Early menstruation(OR=1.55), early menopause (OR=1.70), and no experience of pregnancy(OR=2.86) had a positive association with breast cancer risk(P<0.05). The selected polygenetic risk score(PRS) models included four SNPs and seven SNPs: The four-SNP PRS model included CDH13_rs12600325, SMYD3_rs3753686, FGF12_rs2134635, and ESRRB_rs10873289, and in the seven-SNP PRS model, ESR1_ rs2046210, estrogen-related receptor gamma(ESRRG)_rs17043393, and EGFR_ rs6958497 were added into the four-SNP PRS model. Early menstruation, early menopause, and no pregnancy experience interacted with four-SNP PRS. For the participants who had early menstruation and early menopause, high-PRS had an association with a much higher breast cancer risk than the low-PRS in the four-SNP model. However, metabolic parameters, nutrient intakes, and different dietary patterns did not interact with PRS for breast cancer risk. However, alcohol intake interacted with PRS for breast cancer risk (OR=2.33 and 8.07 for mild and moderate alcohol consumption, respectively; P=0.0004). Conclusion: Consideration of age at menarche and menopause, pregnancy experience, and alcohol intake may be required to reduce breast cancer risk in women with a high-PRS of genes related to the estrogen signaling pathway.

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