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11-9.55) and high risk adenomatous polyps (OR 8.64, 95%CI 5.30-14.09).

This study provides additional evidence of the association between low fruit and vegetable consumption and colorectal polyps. Enhancing people fiber eating behavior may help preventing colorectal cancer risk.

This study provides additional evidence of the association between low fruit and vegetable consumption and colorectal polyps. Enhancing people fiber eating behavior may help preventing colorectal cancer risk.

The effect of obesity on response to neoadjuvant chemotherapy (NACT) remains unknown. We aimed to investigate the effect of obesity on response to NACT and survival in locally-advanced gastric cancer (GC).

From 2010 to 2019, 142 GC patients with clinical stage III disease who underwent curative surgery after NACT were enrolled. Patients were divided into 3 groups according to body mass index (BMI) as follows; BMI < 25 kg/m2, BMI = 25-30 kg/m2, and BMI > 30 kg/m2. The Mandard tumor regression grading system was used for tumor regression grade (TRG).

Of the 142 GC patients, 45(31.7%) were female. The median age was 58 years. BMI was < 25 kg/m2 in 60 (42.3%) patients, 25-30 kg/m2 in 44 (31%) patients, and > 30kg/m2 in 38 (26.8%) patients. ALLN inhibitor The numbers of patients with TRGI-II, TRGIII, and TRGIV-V were 35 (24.6%), 44 (31%), and 63 (44.4%), respectively. There was no statistically significant difference among BMI groups in terms of disease-free survival (DFS) and overall survival (OS) (p = 0.919 and p = 0.398, respectively). According to TRG groups; mDFS was 46 months in TRG I-II, 28 months in TRG III, and 18 months in TRG IV-V (p <0.001). In multivariate analysis, presence of perineural invasion and lymphovascular invasion were the factors affecting TRG.

In our study, we found that pre-treatment obesity did not affect the TRG in clinical stage III GC patients. However, a better TRG status was associated with improved survival.<br />.

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Cancer is a known risk factor for developing active tuberculosis (TB) disease. The incidence of and risk factors for TB are not known among cancer patients in Thailand. This study aimed to investigate risk factors for TB among cancer patients in an area with endemic TB infections.

We used the Khon Kaen population-based cancer registry and two TB databases to conduct a retrospective cohort study of cancer patients. From 2001 to 2015, we identified 40,948 eligible cancer patients. Following until 2017, we identified cases of TB diagnosed after cancer diagnosis and analyzed primary cancer site, staging, treatment, and demographic factors. Adjusted incidence rate ratios (adj. IRR) were computed to identify risk factors among a sub-set of cancer types (n = 9,733) using Poisson regression.

Among all cancer patients, 472 cases of TB were diagnosed following cancer diagnosis (cumulative incidence = 1.15%, incidence rate = 421.86 cases per 100,000 patients per year). Among the sub-set of cancer types, 206 cases of TB were found (cumulative incidence = 2.11%, incidence rate = 848.26 cases per 100,000 patients per year). Risk factors for TB among cancer patients were sex (p < 0.001) (male adj. IRR = 1.87, 95% CI 1.36-2.59), age (p < 0.001) (age >70 adj. IRR = 2.36, 95% CI 1.56-3.55, compared to age ≤50) and cancer site (p < 0.001). Compared to thyroid cancer, TB infection was more associated with lung cancer without histopathological confirmation (adj. IRR = 6.22, 95% CI 2.57-15.04). Cancer stage and treatment did not show statistically significant trends.

Old age, male sex, and certain cancer types were independent risk factors for TB in cancer patients. Targeted latent TB screening may be appropriate among high risk groups.

Old age, male sex, and certain cancer types were independent risk factors for TB in cancer patients. Targeted latent TB screening may be appropriate among high risk groups.Genetic polymorphisms in the methylenetetrahydrofolate reductase (MTHFR) gene may alter the risk of breast cancer. This study aimed to investigate the association of MTHFR C677T and A1298C genetic polymorphisms with breast cancer risk in case-control studies which was followed by stratified analysis. In the case-control study, 300 subjects including 150 women with breast cancer and 150 healthy women were enrolled. After blood sample collection, the C677T and A1298C polymorphisms genotyping were done by the PCR-RFLP method. Our data revealed a significant association between MTHFR C677T and A1298C polymorphisms and breast cancer risk. But, as a preliminary study, stratified analysis revealed no significant association between C677T and A1298C polymorphisms and tumor size and also lymph node metastasis in breast cancer. According to the mentioned findings, the C677T and A1298C polymorphisms in the MTHFR gene could be molecular risk factors for breast cancer in our studied population. However, further studies with larger sample sizes are required to obtain a more accurate conclusion in stratified analysis..

It is well known that specific occupations can cause harm in developing malignant neoplasms. Chemical exposure is particularly high in the manufacturing industry and workers in this sector may face a higher occupational risk for cancer. We aimed to estimate inequalities in the risk of cancers related to occupational chemical exposure in various manufacturing categories.

Using nationwide clinical inpatient data (1984-2017) in Japan, we undertook a multicenter, case-control study with regard to risks of developing cancers among various manufacturing industry categories. Using the food manufacturing industry as the reference group, odds ratios and 95% confidence intervals for each industry were estimated by conditional logistic regression, adjusted for sex, age, admission period, and the admitting hospital. Medical record summaries accounting for 89% of industrial categories with high odds ratios were collected to confirm diagnoses made on the basis of histology. We estimated industrial hazards based on the Pollutant Release and Transfer Register.

A reduced risk for some of common cancers was observed among lumber and wood products industries. Leather tanning, leather products and fur tended to show a higher risk 2.36 (95% CI 1.15-4.83) for pancreatic cancer, 2.85 (95% CI 1.26-6.47) for liver cancer and 2.00 (95% CI 1.01-3.99) for lung cancer. For the electronics category, observations of high risk ranged from 2.09 (95%CI 1.18-3.70) for ureter cancer, to 2.49 (95% CI 1.79-3.55) for kidney cancer.

This study revealed industry risk inequalities in manufacturing categories were present with regard to the risk of common cancers in Japan.

This study revealed industry risk inequalities in manufacturing categories were present with regard to the risk of common cancers in Japan.