[Exploration and validation of optimal cut-off values for tPSA and fPSA/tPSA screening of prostate cancer at different ages].

Objective: To determine the total and age-specific cut-off values of total prostate specific antigen (tPSA) and the ratio of free PSA divided total PSA (fPSA/tPSA) for screening prostate cancer in China. Methods: Based on the Chinese Colorectal, Breast, Lung, Liver, and Stomach cancer Screening Trial (C-BLAST) and the Tianjin Common Cancer Case Cohort (TJ4C), males who were not diagnosed with any cancers at baseline since 2017 and received both tPSA and fPSA testes were selected. Based on Cox regression, the overall and age-specific (＜60, 60-＜70, and ≥70 years) accuracy and optimal cut-off values of tPSA and fPSA/tPSA ratio for screening prostate cancer were evaluated with time-dependent receiver operating characteristic curve (tdROC) and area under curve (AUC). Bootstrap resampling was used to internally validate the stability of the optimal cut-off value, and the PLCO study was used to externally validate the accuracy under different cut-off values. Results: A total of 5 180 participants were included in the study, and after a median follow-up of 1.48 years, a total of 332 prostate cancer patients were included. In the total population, the tdAUC of tPSA and fPSA/tPSA screening for prostate cancer were 0.852 and 0.748, respectively, with the optimal cut-off values of 5.08 ng/ml and 0.173, respectively. After age stratification, the age specific cut-off values of tPSA in the <60, 60-<70, and ≥70 age groups were 3.13, 4.82, and 11.54 ng/ml, respectively, while the age-specific cut-off values of fPSA/tPSA were 0.153, 0.135, and 0.130, respectively. Under the age-specific cut-off values, the sensitivities of tPSA screening for prostate cancer in males <60, 60-70, and ≥70 years old were 92.3%, 82.0%, and 77.6%, respectively, while the specificities were 84.7%, 81.3%, and 75.4%, respectively. The age-specific sensitivities of fPSA/tPSA for screening prostate cancer were 74.4%, 53.3%, and 55.9%, respectively, while the specificities were 83.8%, 83.7%, and 83.7%, respectively. Both bootstrap's internal validation and PLCO external validation provided similar results. The combination of tPSA and fPSA/tPSA could further improve the accuracy of screening. Conclusion: To improve the screening effects, it is recommended that age-specific cut-off values of tPSA and fPSA/tPSA should be used to screen for prostate cancer in the general risk population.

[Potential pleiotropism of cancer-related single nucleotide polymorphisms among Chinese population].

Objective: To investigate the potential pleiotropism of cancer-related single nucleotide polymorphisms (SNPs) among Chinese population. Methods: Based on the catalogue of GWAS jointly constructed by the National Human Genome Research Institute and the European Institute of Bioinformatics, according to population origin (Chinese population and non-Chinese population) and disease traits (cancer and non-cancer traits). All SNPs found by GWAS before August 2020 were divided into four categories: cancer in Chinese population, non-cancer in Chinese population, cancer in non-Chinese population and non-cancer in non-Chinese population. The number, correlation and linkage of the four categories of SNPs were described. Results: By August 2020, a total of 196 813 SNPs from 4 096 GWAS were included in the GWAS directory. The information that SNPs refer to unknown or were not related to the disease was excluded, and 117 441 independent SNPs were finally included. There were 619 SNPs related to cancer and 9 569 SNPs related to non-cancer disease in Chinese population, respectively. There were 4 624 SNPs related to cancer and 106 448 SNPs related to non-cancer disease (trait) in non-Chinese population, respectively. Three SNPs, rs2736100, rs6983267 and rs401681, were associated with two or more types of cancer in both Chinese and non-Chinese populations. Seven SNPs, rs7705526, rs2736100, rs10993994, rs2735839, rs4430796, rs174537 and rs9271588, were associated with cancer and non-cancer diseases in both Chinese and non-Chinese populations, respectively. Conclusion: There is a potential pleiotropism of cancer-related SNPs in Chinese population.

[Metabolic syndrome components and breast cancer risk in Chinese females: a population based prospective study].

Objective: To investigate the relationship between metabolic syndrome (MS) and the risk of breast cancer in Chinese females. Methods: From May 2006 to December 2015, based on the Kailuan Women's Dynamic Cohort,a total of 25 618 female employees and retirees of the Kailuan Group were included and followed. Questionnaire surveys, physical measurements and laboratory tests were used to collect baseline sociodemographic characteristics, height, weight, blood glucose, blood lipids, blood pressure, tumor incidence and outcome information. Cox proportional hazards regression models were used to analyze the relationship between MS and its components (body mass index, blood pressure, blood glucose and blood lipid) and the risk of breast cancer in females. Results: The age of 25 618 women was (47.65±12.02) years old and median follow-up time was 8.78 years; 235 new cases of breast cancer were detected, and the incidence density was 113.19/100 000 person-years. After adjusting for age, education, income, smoking status, drinking status and other factors, people who were overweight or obese had a higher risk of breast cancer, with HR (95%CI) about 1.47 (1.12-1.93), than those with normal body mass index. Compared with those without MS abnormal components, women with two MS abnormal components had an increased risk of breast cancer (HR=1.70, 95%CI: 1.16-2.50). With the increase of the number of MS abnormal components, the risk of breast cancer increased gradually (Ptrend value<0.05). Conclusion: Overweight/obesity and the number of abnormal components of MS can increase the risk of breast cancer in women.

[Quality assessment of guidelines and consensus in lung cancer chemotherapy].

Objective: To understand the current status of clinical guidelines and consensus for lung cancer chemotherapy, evaluate and analyze the quality of lung cancer chemotherapy treatment guidelines, and provide references for the revision and improvement of lung cancer chemotherapy clinical decision-making and guidelines. Methods: Search Pubmed, EMbase, Cochrane Library (Cochrane Library), China Knowledge Network, Wanfang Database, China Biomedical Literature Database and other related databases and clinical practice guidelines related to lung cancer chemotherapy, and screen the literatures according to the established inclusion exclusion criteria. Use the appraisal of guidelines for research and evaluation Ⅱ (AGREE Ⅱ) and reporting items for practice guidelines in healthcare (RIGHT) tools to compare and evaluate the quality of the included guides and the level of reporting specifications. Results: A total of 14 guidelines were included. The assessment results of AGREE Ⅱ showed that the average score of scope and purpose was 94 points, the average score of stakeholder involvement was 60 points, the average score of rigour of development was 43 points, the average score of clarity of presentation was 88 points, the average score of applicability was 50 points, the average score of editorial independence was 61 points. Seven guidelines were evaluated as A level, 6 guidelines were evaluated as B level, 1 guideline was evaluated as C level. The assessment results of RIGHT showed that, in addition to the basic information, the included guidelines have many deficiencies in 6 areas including background, evidence, recommendation, review and quality assurance, funding, declaration and management of interests and other information, and the normative gap between domestic and foreign guides was large. Conclusions: The overall quality of clinical guidelines for lung cancer chemotherapy is high, but the standardization needs to be strengthened. There is a big gap between the quality and standardization of domestic and foreign guides. Further developments of high-quality clinical practice guidelines and guidelines consistent with our country's actual situation are needed.

[Diagnostic performance of quantitative fecal immunochemical test in detection of advanced colorectal neoplasia].

Objective: To evaluate the diagnostic performance of quantitative fecal immunochemical testing (FIT) and to provide reference for designing effective colorectal cancer (CRC) screening strategy in China. Methods: Based on an ongoing randomized controlled trial comparing the colorectal cancer screening strategies, this current study involved 3 407 participants aged 50-74 years who had undergone colonoscopies. All the feces samples were collected from the participants prior to receiving the colonoscopy. Fecal hemoglobin (Hb) was tested by FIT following a standardized operation process. Diagnosis-related indicators of FIT were calculated using the colonoscopy results as the gold standard. Results: Among the 3 407 participants, the mean age (SD) as 60.5 (6.3) years and 1 753 (51.5%) were males. The participants involved 28 (0.8%) CRCs, 255 (7.5%) advanced adenomas, 677 (19.9%) nonadvanced adenomas, and 2 447 (71.8%) benign or negative findings. With an overall positivity rate of 2.8% (96/3 407) at the recommended cutoff value of 20 µg Hb/g, the sensitivities of FIT for both CRC and advanced adenoma were 57.1% (95%CI: 37.2%-75.5%) and 11.0% (95%CI: 7.4%-15.5%), respectively, with the corresponding specificity as 98.4% (95%CI: 97.8%-98.8%). At a decreased cut-off value of 5 µg Hb/g, the sensitivities for detecting CRC and advanced adenoma increased to 64.3% (95%CI: 44.1%-81.4%) and 16.5% (95%CI: 12.1%-21.6%), respectively, but the specificity reduced to 95.2% (95%CI: 94.4%-95.9%). The areas under the ROC curve for CRC and advanced adenoma were 0.908 (95%CI: 0.842-0.973) and 0.657 (95%CI: 0.621-0.692), respectively. Of the diagnostic performance, there were no significant differences noticed by different sex and age groups. Conclusions: In our study, the quantitative FIT showed modest sensitivity in detecting CRC but limited sensitivity in detecting advanced adenoma. In population-based CRC screening programs, the quantitative FIT had the advantage of adjusting the positive threshold based on the targeted detection rate and available resource load of colonoscopy.

[Exploratory research on developing lung cancer risk prediction model in female non-smokers].

Objective: To develop a lung cancer risk prediction model for female non-smokers. Methods: Based on the Kailuan prospective dynamic cohort (2006.05-2015.12), a nested case-control study was conducted. Participants diagnosed with primary pathologically confirmed lung cancer during follow-up were identified as the case group, and others were identified as the control group. A total of 24 701 subjects were included in the study, including 86 lung cancer cases and 24 615 control population, respectively. Questionnaires, physical examinations, and laboratory tests were conducted to collect relevant information. Multivariable-adjusted logistic regressions were conducted to develop a lung cancer risk prediction model. Area Under the Curve (AUC) and Hosmer-Lemeshow tests were used to evaluate discrimination and calibration, respectively. Ten-fold cross-validation was used for internal validation. Results: Two sets of models were developed: the simple model (including age and monthly income) and the metabolic index model [including age, monthly income, fasting blood glucose (FBG), total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C)].The AUC (95%CI) [0.745 (0.719-0.771)] of the metabolic index model was higher than that of the simple prediction model [0.688 (0.660-0.716)] (P=0.004). Both the simple model (PHL=0.287) and the metabolic index model (PHL=0.134) were well-calibrated. The results of ten-fold cross-validation indicated sufficient stability, with an average AUC of 0.699 and a standard error (SD) of 0.010. Conclusion: By incorporating metabolic markers, accurate and reliable lung cancer risk prediction model for female non smokers could be developed.

[Metabolic syndrome components and renal cell cancer risk in Chinese males: a population-based prospective study].

Objective: To investigate the association between metabolic syndrome (MS) components and renal cell cancer in Chinese males. Methods: All male employees and retirees of the Kailuan Group were recruited in the Chinese Kailuan Male Cohort Study. They had been experienced routine physical examinations ever two years since May 2006. A total of 104 274 males were prospectively observed by 31 December 2015. Information on demographics, height, weight, blood glucose, blood lipid, blood pressure, as well as the information of incident renal cell cancer cases were collected at the baseline investigation by questionnaire, physical measurement and laboratory test. Cox proportional hazards regression models were used to evaluate the association between baseline MS and MS components (body mass index, blood glucose, blood lipid, blood pressure) and the risk of renal cell cancer in males. Results: A total of 104 274 males were recruited in our study with a age of (51.21±13.46) years, with 823 892.96 person-years follow-up and the median follow-up time was 8.88 years. A total of 131 new renal cell cancer cases were identified in the Kailuan male cohort study, and the crude incidence density was 15.90 per 100,000 person-years. Compared with no MS, the hazard ratios (HR) (95% CI) of MS was 1.97 (1.32-2.94).When compared with normal level, the HR (95%CI) of obesity or overweight, hypertension, and dyslipidemia was 1.49 (1.04-2.14), 1.56 (1.06-2.29), and 1.77(1.23-2.54), after adjusting for potential confounding factors (i.e., age, education, income, smoke, and alcohol drink), respectively. In addition, a statistically significant trend (P for trend<0.001) of increased renal cell cancer risk with an increasing number of abnormal MS components was observed. Conclusion: Obesity or overweight, hypertension, dyslipidemia and MS may increase the risk of renal cell cancer for Chinese males.

[Total cholesterol and the risk of primary liver cancer in Chinese males: a prospective cohort study].

Objective: To investigate the association between total cholesterol (TC) and primary liver cancer in Chinese males. Methods: Since May 2006, all the male workers, including the employees and the retirees in Kailuan Group were recruited in the Kailuan male dynamic cohort study. Information about demographics, medical history and TC levels was collected at the baseline interview, as well as information on newly-diagnosed primary liver cancer cases during the follow-up period. A total of 110 612 males were recruited in the cohort by 31 December 2015. TC levels were divided into four categories by quartile (<4.27, 4.27-4.90, 4.90-5.56 and ≥5.56 mmol/L), with the first quartile group serving as the referent category. Cox proportional hazards regression model was used to evaluate the association between TC levels and primary liver cancer risk. Results: By December 31, 2015, a follow-up of 861 711.45 person-years was made with a median follow-up period of 8.83 years. During the follow-up, 355 primary liver cancer cases were identified. Compared with the first quartile, the HR of incident primary liver cancer among participants with the second, third and highest quartile TC levels were 0.76 (95%CI: 0.58-1.01), 0.59 (95%CI: 0.43-0.79), and 0.36 (95%CI: 0.25-0.52), respectively after adjusting for age, educational level, income level, smoking status, drinking status, body mass index, and HBsAg status (Pfor trend<0.001). Subgroup analyses found that the association between TC levels and primary liver cancer was robust (all Pfor trend<0.05). The results didn't change significantly after exclusion of newly-diagnosed cases within the first 2 years, males with history of cirrhosis or subjects who took antihyperlipidemic drugs, participants with higher TC levels had a lower risk of primary liver cancer (all Pfor trend<0.05) and HR(95%CI) of incident primary liver cancer among participants with the highest quartile TC levels were 0.41 (0.28-0.61), 0.36 (0.25-0.53) and 0.38 (0.26-0.54), respectively. Conslusion: In this large prospective study, we found that baseline TC levels were inversely associated with primary liver cancer risk, and low TC level might increase the risk of primary liver cancer.

[The development and validation of risk prediction model for lung cancer: a systematic review].

Objective: To systematically understand the global research progress in the construction and validation of lung cancer risk prediction models. Methods: "lung neoplasms" , "lung cancer" , "lung carcinoma" , "lung tumor" , "risk" , "malignancy" , "carcinogenesis" , "prediction" , "assessment" , "model" , "tool" , "score" , "paradigm" , and "algorithm" were used as search keywords. Original articles were systematically searched from Chinese databases (CNKI, and Wanfang) and English databases (PubMed, Embase, Cochrane, and Web of Science) published prior to December 2018. The language of studies was restricted to Chinese and English. The inclusion criteria were human oriented studies with complete information for model development, validation and evaluation. The exclusion criteria were informal publications such as conference abstracts, Chinese dissertation papers, and research materials such as reviews, letters, and news reports. A total of 33 papers involving 27 models were included. The population characteristics of all included studies, study design, predicting factors and the performance of models were analyzed and compared. Results: Among 27 models, the number of American-based, European-based and Asian-based model studies was 12, 6 and 9, respectively. In addition, there were 6 Chinese-based model studies. According to the factors fitted into the models, these studies could be divided into traditional epidemiological models (11 studies), clinical index models (6 studies), and genetic index models (10 studies). 15 models were not validated after construction or were cross-validated only in the internal population, and the extrapolation effect of models was not effectively evaluated; 8 models were validated in single external population; only 4 models were verified in multiple external populations (3-7); the area under the curve (AUC) of models ranged from 0.57 to 0.90. Conclusion: Research on risk prediction models for lung cancer is in development stage. In addition to the lack of external validation of existing models, the exploration of potential clinical indicators was also limited.

[Progress in epidemiologic research of association between anthropometric indicators and risk for gastric cancer].

Gastric cancer is one of the most common cancer. Studies have been conducted to evaluate the association between anthropometric indicators and gastric cancer, but the results were inconsistent. Therefore, a literature retrieval was conducted by using PubMed and Wanfang databases to summarize the latest research progress in the cohort study of the association between anthropometric indicators and the risk for gastric cancer. It was found that both general obesity and abdominal obesity might increase the risk for gastric cancer, while the association between underweight and gastric cancer needs further study. This paper summarizes the progress in the cohort study of association between anthropometric indicators for the risk for gastric cancer in order to provide evidence for the prevention and control of gastric cancer.

[The relationship between inflammatory markers and the risk of lung cancer: a prospective cohort study].

Objective: To investigate whether elevated levels of C-reactive protein (CRP) and neutrophil (NE) in the blood is associated with an increased risk of lung cancer incidence. Methods: From 2006 to 2007, all employees and retirees from Kailuan (Group) Limited liability Corporation were included in this Kailuan Cohort study. The last follow-up date was December 2015. Data on new cases of lung cancer were collected, and multivariable Cox proportional hazards regression models were used to the relationship between baseline CRP and NE at baseline and risk of lung cancer. Results: A total of 92 735 participants were enrolled in this study. During the follow-up, 850 new cases of lung cancer were identified. All subjects were divided into four groups according to the combination level of CRP and NE at baseline: CRP≤3 mg/L and NE≤4×10(9)/L(Group A), CRP≤3 mg/L and NE>4×10(9)/L(Group B), CRP>3 mg/L and NE≤4×10(9)/L(Group C), CRP>3 mg/L and NE>4×10(9)/L(Group D). The cumulative incidence of lung cancer were 950/100 000, 1 030/100 000, 1 081/100 000 and 1 596/100 000 in these four groups, respectively (P<0.001). Multivariate Cox proportional risk model showed that participants from Group D had an significantly increased 72% risks of lung cancer when compared to Group A (95% CI: 1.40~2.12, P<0.001). Stratified analyses gender showed that males in Group D had higher risk of lung cancer when compared with participants in Group A (HR=1.73, 95% CI: 1.40~2.15, P<0.001). Conclusion: Elevated levels of CRP and NE might increase the risk of lung cancer.

[Progress in construction and verification of colorectal cancer risk prediction models: a systematic review].

Objective: To systematically review available risk prediction models evidence on construction and verification of colorectal cancer risk prediction models. Methods: "Colorectal neoplasms", "risk assessment", "colorectal cancer", "colorectal tumor", "colon cancer", "colon tumor", "rectal cancer", "rectal tumor", "anal cancer", "anal tumor", "risk prediction", "malignancy", "carcinogenesis", "model" were used as search keywords. Journal papers and grey literature were searched from Chinese electronic databases (CNKI and Wanfang) and English electronic databases (PubMed and Embase) from their inception to 30 Apr 2018. The language of literature was restricted to Chinese and English. The inclusion criteria were human-oriented researches with complete information for model construction,verification and evaluation. The exclusion criteria were informal publications such as conference abstracts, Chinese disertation papers, and non-primary research materials such as reviews,letters,and news reports. Descriptive characteristics,targeted population, study design, model construction method and prediction results were extracted. A total of 36 papers involving 27 models were included. The population characteristics of all included studies,the type of research, the method of model construction and the prediction results of the model were analyzed. Results: As for model construction,there were 13 European and American population based model studies,14 Asian population based model studies,including 7 Chinese mainland based model studies. According to the factors selected into the model, these models can be divided into traditional epidemiological models (17 models), clinical index combined models (4 models),and genetic susceptibility index combined models (6 models). As for model verification,only 9 models were cross-verified in the internal population after model construction, and the extrapolation of model prediction effect was not effectively evaluated; 17 models were verified in an external population; there was only one model verified in two external populations in terms of risk prediction effect; the area under the curve of 27 models was 0.56-0.85. Conclusion: The risk prediction model of colorectal cancer is in the development stage. The external evaluation of model prediction effect is less and the prediction ability is not good, and the existing models have limited exploration of clinical indicators.

[Systematic review of the methodology quality and reporting quality in colorectal cancer screening guidelines].

Objective: To systematically review the quality and reporting quality of colorectal cancer screening guidelines, and to provide reference for the update of colorectal cancer screening guidelines and colorectal cancer screening in China. Methods: "Colorectal cancer", "colorectal tumor", "screening", "screening", "guide", "consensus", "Colorectal cancer", "Colorectal neoplasms", "Screening", "Early Detection of Cancer", "Guideline" and "recommendation" were used as search keywords. The literature retrieval for all the Chinese and English guidelines published before April 2018 was conducted by using PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang Data, China Biology Medicine disc (CBMdisc), Cochrane Library, Guideline International Network, China Guidelines Clearinghouse (CGC) and the official website of the US Preventive Services Task Force (USPSTF), the American Cancer Society (ACS), International Agency for Research on Cancer (IARC), Australia Cancer Council (ACC) and Association of Coloproctology of Great Britain & Ireland (ACPGBI). The inclusion criteria were independent guidance documents for colorectal cancer screening. The language is limited to Chinese and English. The exclusion criteria were literature on interpretation, evaluation, introduction, etc., as well as the translated version of the guide and old guides. The quality and reporting norms of colorectal cancer screening guidelines were compared and evaluated using the European Guideline Research and Assessment Tool (AGREE Ⅱ) and the Practice Guideline Reporting Standard (RIGHT). Results: A total of 15 guides were included. The results of the AGREE Ⅱ quality evaluation showed that the overall quality of 15 guides was high. Among them, there were 9 guides with an overall score of 50 or more, 10 with a recommendation level of "A", and 2 with a rating of "B". There were 3 guides for "C"; each guide scores higher in scope and purpose, and clarity, and scores vary greatly in the areas of participants, rigor, applicability, and independence. The results of the RIGHT evaluation showed that 15 guides were insufficient in six areas except for background information, evidence, recommendations, reviews and quality assurance, funding and conflict of interest statements and management, and other aspects. Conclusion: The overall quality of included guidelines for colorectal cancer screening is high, but the normative nature needs to be strengthened.

[Body mass index and the risk of gastric cancer in males: a prospective cohort study].

Objective: To investigate the association between BMI and gastric cancer risk in Chinese males. Methods: Data on body weight, body height and incidence of gastric cancer were collected on a biennial basis in males in Kailuan Cohort during 2006-2015. In addition, electronic databases of hospitals affiliated to Kailuan Group, insurance system of Kailuan Group and medical insurance system of Tangshan were used for supplementary information. Males with normal body weight (18.5 kg/m(2)≤BMI<24.0 kg/m(2)) were used as controls. Cox proportional hazards regression model was used to evaluate the association between baseline BMI and the risk of gastric cancer in males through the calculations of hazard ratio and 95% confidence interval. Results: A total of 109 600 males were included and 272 new gastric cancer cases were identified in Kailuan male cohort study, with a follow-up of 860 399.79 person-years during 2006-2015. The median follow-up period was 8.8 years. When compared with normal weight, the hazard ratios (HR) of underweight (BMI≤18.5 kg/m(2)) for gastric cancer risk were 2.11 (95%CI: 1.23-3.62) after adjusting for potential confounding factors (age, education level, smoking status, alcohol drinking status, dust exposure, salty food intake, tea drinking status). However, overweight or obesity showed no significant association with gastric cancer risk. The stratified analyses based on age, education level, status on smoking, alcohol drinking, tea drinking and dust exposure indicated that underweight showed significant association with gastric cancer risk in those with older age, those with high education level, non-smokers, non-alcohol drinkers, non-tea drinkers and those with dust exposure. Conclusion: Underweight might increase the risk of gastric cancer in males in China, and this positive association might be associated with age, education level, status on smoking, alcohol-drinking, tea-drink, and dust exposure.

[Alcohol consumption and the risk of lung cancer in males: a prospective cohort study].

Objective: To investigate the association between alcohol consumption and lung cancer risk in Chinese males. Methods: Information on alcohol consumption and outcomes were collected on a biennial basis among males in Kailuan Cohort (2006-2015). In addition, electronic databases of hospitals affiliated to Kailuan Community, Insurance Systems of Kailuan Community and Tangshan were also used for supplementary information retrieval. Cox proportional hazards regression models were used to evaluate the hazard ratio (HR) and 95%CI of baseline frequency and type of alcohol consumption associated with lung cancer risk in males. Non-drinkers were used as control group. Results: A total of 101 751 males were included and 913 new lung cancer cases were identified in the Kailuan male cohort study, with a total follow-up time of 808 146.56 person-years and a median follow-up time of 8.88 years by 31 December 2015. After adjusting for potential confounding factors, the HR of former drinkers, occasional drinkers (<1/day) and drinkers (≥1/day) were 1.30 (95%CI: 0.90-1.88), 0.80 (95%CI: 0.64-1.01) and 1.04 (95%CI: 0.85-1.27), respectively, compared with non-drinkers. In addition, drinking beer/red wine (HR=0.91, 95%CI: 0.69-1.20) and white wine (HR=0.99, 95%CI: 0.83-1.19) showed no significant association with lung cancer. The results were similar when stratified analysis were conducted. Conclusion: Our study results don't support the hypothesis that alcohol consumption is significantly associated with the risk of lung cancer in males.

[Anthropometry and the risk of colorectal cancer in males: a prospective cohort study].

Objective: To investigate the association between anthropometry and colorectal cancer risk in Chinese males. Methods: Anthropometry and incident colorectal cancer cases were collected on a biennial basis starting in May 2006 among males in Kailuan Cohort (2006-2014). In addition, electronic database of hospitals affiliated to Kailuan Community, Insurance System of Kailuan Community and Tangshan were also searched for supplementary information. Cox proportional hazards regression models and linear models were used to evaluate the association between baseline anthropometry and the risk of colorectal cancer in males. Results: A total of 106 786 males were included and 318 new colorectal cancer cases were identified in the Kailuan male cohort study, with 747 337.60 person-years follow-up by 31 December 2014. The median follow-up time was 7.90 years. Highest quartile waist circumference (≥94.0 cm) or WHtR (≥0.55) had 1.45 (95%CI: 1.05-2.02) and 1.66 (95%CI: 1.15-2.41) higher risk of colorectal cancer when compared with lowest waist circumference (<82.0 cm) or WHtR (<0.48) after adjusting for age, education, smoking, alcohol drinking, sitting time and dust exposure. Subgroup analyses by site indicated that males with BMI ≥26.27 kg/m(2), waist circumference ≥94.0 cm or WHtR ≥0.55 had HRs (95%CI) of 2.18(1.27-3.73), 2.20 (1.27-3.78) and 2.42 (1.29-4.56) for colon cancer risk, respectively. Linear models showed the HR of colon cancer and 95%CI would be 1.59 (1.24-2.02) with every 0.1 growth in WHtR. Conclusion: Obesity may be responsible for an increased risk of colorectal cancer in male. Reasonable weight control may be one of the effective measures to prevent colorectal cancer.

[Association between total cholesterol and risk of lung cancer incidence in men: a prospective cohort study].

Objective: To assess the association and intensity of baseline TC level with the incidence of lung cancer in men in China. Methods: Since May 2006, all the male workers, including the employees and the retirees in Kailuan Group were recruited in the Kailuan male dynamic cohort study. Information about demographics, medical history, anthropometry and TC level were collected at the baseline interview, as well as the information of newly-diagnosed lung cancer cases during the follow-up period. According to guidelines for blood lipids in Chinese adults and the distribution in the population, TC level was classified into five groups as followed: <160, 160-, 180-, 200- and ≥240 mg/dl, with the second quintile group (160- mg/dl) serving as the referent category. Cox proportional hazards regression model and restricted cubic spline (RCS) model were used to evaluate the association and the nonlinear association between baseline TC level and the risk of lung cancer in the men. Results: By December 31, 2014, for the 109 884 men, a follow up of 763 819.25 person-years was made with a median follow-up period of 7.88 years. During the follow up, 808 lung cancer cases were identified. After adjustment for age, education level, income level, smoking status, alcohol consumption level, history of dust exposure, FPG level and BMI, HR (95%CI) of lung cancer for men with lower TC level (<160 mg/dl) and higher TC level (≥240 mg/dl) were 1.34 (1.04- 1.72) and 1.45 (1.09-1.92), respectively, compared with men with normal TC level (160- mg/dl). The results didn't change significantly after exclusion of newly diagnosed cancer cases within 2 years of follow up and subjects with the history of hyperlipidemia. Conclusion: Our results showed that TC might be associated with higher risk of lung cancer. Men with lower TC level or higher TC level had higher risk for lung cancer. Keep moderate TC level might be one of the effective precaution for the prevention of lung cancer.

[Tea consumption and the risk of lung cancer in Chinese males: a prospective cohort study].

Objective: To investigate the association between tea consumption and lung cancer risk in Chinese males. Methods: Tea consumption and incident lung cancer cases were collected on a biennial basis among males in Kailuan Cohort during 2006-2015. Up to 31st December 2015, a total of 103 010 male candidates from the Chinese Kailuan Male Cohort Study were enrolled in the present study. Cox proportional hazards regression model was used to evaluate the association between tea consumption and risk of lung cancer in males. Results: The age of male candidates was (51.3±13.4)years old. There were 828 810.74 person-years of follow-up and 8.91 years of median follow-up period. During the follow-up, 964 lung cancer cases were identified. In male, the rate of never cosumers, tea drinkers (<4/week) and tea drinkers (≥4/week) were 58.17%(n=59 926), 24.04%(n=24 765) and 17.78%(n=18 319), respectively. After adjustment for potential confounding factors, HR (95%CI) of lung cancer for subjects with tea drinkers (<4/week) and tea drinkers (≥4/week) were 0.80 (0.63-1.02) and 1.02 (0.80-1.30), respectively, as compared with never cosumers. The results showed no significant association with lung cancer. Stratification analysis and sensitivity analysis showed no significant changes. Conclusion: Our study has not found that tea consumption is significantly associated with the risk of male lung cancer.