Elevated mammographic density (MD) is an established breast cancer risk factor. Studies examining relationships between MD and breast cancer risk factors are limited in China, where established breast cancer risk factors are less prevalent but dense breasts are more prevalent than Western countries. This study included 11,478 women (45-69 years; 36% premenopausal) participating in an ongoing national cancer screening program in 11 urban provinces in China and predicted as having high-risk for breast cancer. Polytomous logistic regression was performed to assess associations between MD and risk factors by comparing each higher Breast Imaging Reporting and Data System (BI-RADS) category (2, 3, or 4) to the lowest category (BI-RADS, 1). We found associations of increasing age, body mass index, weight, postmenopausal status, and parity with lower MD. Higher levels of education, increasing height, and later first birth were associated with higher MD. These associations did not vary by menopausal status. Additionally, the association between longer period of breastfeeding and lower MD was seen among postmenopausal women only (Pinteraction = 0.003). Having first-degree relatives with breast cancer diagnosed before 50 years was associated with lower MD only among premenopausal women (Pinteraction = 0.061). We found effects of established breast cancer risk factors on MD showed similar directions in Chinese and Western women, supporting the hypothesis that MD represents cumulative exposure to breast cancer risk factors over the life course. Our findings help to understand the biological basis of the association of MD with breast cancer risk and have implications for breast cancer prevention research in China.

Objective The number of liver cancer patients in China accounts for more than half of the world. However, China currently lacks national, multicenter economic burden data, and meanwhile, measuring the differences among different subgroups will be informative to formulate corresponding policies in liver cancer control. Thus, the aim of the study was to measure the economic burden of liver cancer by various subgroups. Methods A hospital-based, multicenter and cross-sectional survey was conducted during 2012-2014, covering 39 hospitals and 21 project sites in 13 provinces across China. The questionnaire covers clinical information, sociology, expenditure, and related variables. All expenditure data were reported in Chinese Yuan (CNY) using 2014 values. Results A total of 2,223 liver cancer patients were enrolled, of whom 59.61% were late-stage cases (III-IV), and 53.8% were hepatocellular carcinoma. The average total expenditure per liver cancer patient was estimated as 53,220 CNY, including 48,612 CNY of medical expenditures (91.3%) and 4,608 CNY of non-medical expenditures (8.7%). The average total expenditures in stage I, II, III and stage IV were 52,817 CNY, 50,877 CNY, 50,678 CNY and 54,089 CNY (P>0.05), respectively. Non-medical expenditures including additional meals, additional nutrition care, transportation, accommodation and hired informal nursing were 1,453 CNY, 839 CNY, 946 CNY, 679 CNY and 200 CNY, respectively. The one-year out-of-pocket expenditure of a newly diagnosed patient was 24,953 CNY, and 77.2% of the patients suffered an unmanageable financial burden. Multivariate analysis showed that overall expenditure differed in almost all subgroups (P<0.05), except for sex, clinical stage, and pathologic type. Conclusions There was no difference in treatment expenditure for liver cancer patients at different clinical stages, which suggests that maintaining efforts on treatment efficacy improvement is important but not enough. To furtherly reduce the overall economic burden from liver cancer, more effort should be given to primary and secondary prevention strategies.

Background:To investigate the association between fasting blood glucose (FBG) levels and the risk of incident primary liver cancer (PLC) in Chinese males, a large prospective cohort was performed in the current study.Methods:A total of 109 169 males participating in the routine checkups every two years were recruited in the Kailuan male cohort study since May 2006. Cox proportional hazards regression models and restricted cubic spline (RCS) were used to evaluate the association between levels of baseline FBG and the risk of incident PLC.Results:Compared to the males with normal FBG (3.9⩽FBG<6.1 mmol l−1), the males with impaired fasting glucose (IFG: 6.1⩽FBG<7.0 mmol l−1) and diabetes mellitus (DM: FBG ⩾7.0 mmol l−1) had a 60% (95% CI: 1.09–2.35) and a 58% (95% CI: 1.07–2.34) higher risk of incident PLC, respectively. Subgroup analysis found that IFG increased the risk of PLC among the non-smoker (HR=1.73, 95% CI: 1.01–2.98) and current alcohol drinker (HR=1.80, 95% CI: 1.03–3.16). While DM increased the risk of PLC especially among the males with normal BMI (<25 kg m−2) (HR=1.76, 95% CI: 1.05–2.94) and the HBV negativity (HR=1.89, 95% CI: 1.16–3.09), RCS analysis showed a positive non-linearly association between the FBG levels and the risk of PLC (p-overall=0.041, p-non-linear=0.049).Conclusions:Increased FBG may be an important and potentially modifiable exposure that could have key scientific and clinical importance for preventing PLC development.

Background: It is important to understand the natural history of cervical cancer, which has implications for cancer prevention and management. However, a dearth of studies on the long-term development of cervical cancer exists in China.Methods: We investigated the natural history of cervical cancer in Chinese women by creating a multistate model using 11 years of follow-up data from the Shanxi Province Cervical Cancer Screening Study I conducted from 1999 to 2010. In 1999, a total of 1,997 eligible women, ages 35 to 45 years, were enrolled in Xiangyuan County, Shanxi Province. Participants were followed up in 2005 and 2010, respectively.Results: The average time a subject spent in CIN1 before transiting into another state was 1.4693 years [95% confidence interval (CI): 1.1215-1.9251] and the average time a subject spent in CIN2 was 2.9822 years (95% CI: 1.9790-4.4938). A subject's transition probability from CIN1 to normal increased with time. However, the transition probability from CIN1 to CIN2 was relatively lower, with 3-, 5-, and 10-year transition probabilities of 0.1415, 0.1066, and 0.0437. Comparison of 5-year transition probabilities between CIN2 to normal/CIN1 and CIN2 to CIN3 þ yielded a ratio of 2.74.

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To examine the associations between fasting blood glucose (FBG) trajectories, the changes in FBG over time and the risk of cancer, particularly for gastrointestinal cancer, we enrolled 69,742 participants without diabetes from the Kailuan cohort. FBG trajectories (2006–2010) were modeled by group‐based trajectory modeling, and five trajectories were identified: low‐increasing (n = 6,275), moderate‐stable (n = 44,120), moderate‐increasing (n = 10,149), elevated‐decreasing (n = 5,244) and elevated‐stable (n = 3,954). A total of 1,364 cancer cases were accumulated between 2010 and 2015, including 472 gastrointestinal cancer cases. We used Cox proportional hazards regression models to evaluate the associations between FBG trajectory patterns and the risk of cancer. We further assessed the associations while carefully controlling for initial body mass index (BMI) in 2006 and for changes in BMI during 2006–2010. Relative to the moderate‐stable group, we found a higher hazard ratio (HR) for overall cancer in the low‐increasing group (HR = 1.26, 95% confidence interval (CI) 1.06–1.50); and for gastrointestinal cancer in the elevated‐stable group (HR = 1.66, 95% CI 1.22–2.26). Moreover, among participants with an initial BMI ≥25 kg/m2, a positive association with the low‐increasing group was observed for both overall cancer and gastrointestinal cancer (HR = 1.54, 95% CI 1.17–2.04; HR = 1.65, 95% CI 1.02–2.66; respectively); among participants with a stable BMI (4.40% loss–5.15% gain), a positive association with the elevated‐stable group was observed both for overall cancer and gastrointestinal cancer (HR = 1.43, 95% CI 1.10–1.87; HR = 1.95, 95% CI 1.33–2.86; respectively). Our study observed that FBG trajectories were associated with cancer risk among participants without diabetes, and BMI may modify the associations.

S3 of lung cancer cases and deaths were obtained from the Global Burden of Disease Study. RESULTS: The total SAE of lung cancer was estimated as US $9527.1 million in China in 2015 (accounting for 0.09% of the local gross domestic product), the decomposed direct and indirect SAE were estimated as $2505.0 million (accounting for 0.4% of total healthcare expenditure in local) and $7022.1 million (73.7% of total SAE), respectively. With 42.0% and 2.4% smoking prevalence among male and female in 2005, 93.5% of the total SAE occurred in male lung cancer in 2015 ($8903.3 million). Mainly due to the variation of burden of disease, age-specific total SAE peaked at 60-64 years group, urban areas' total SAE higher than rural areas'. In 2025, the SAE of lung cancer, compared with that in 2015, would increase by 30.9% ($12471.0 million). CONCLUSIONS: This might be the most detailed estimation on economic burden of lung cancer attributable to smoking in China. SAE caused by lung cancer accounted at least one tenth of all-diseases-caused SAE, compared to previous study. Without main population-level smoking intervention introduced, the economic burden of lung cancer attributable to smoking will continually increase over the next ten years.

Background: Early detection of gastric cancer (GC) has been the topic of major efforts in China. This study aimed to explore the risk factors associated with GC and to provide evidence for the selection of a high-risk population of GC. Methods: Based on the cancer screening cohort of the National Cancer Screening Program in Urban China, GC patients diagnosed by endoscopy and pathological examinations constituted the case group, and controls were 1:3 matched by sex and age (±5 years) individually. The variables were selected by univariable analysis of factors such as body mass index (BMI), dietary habits, lifestyle, stomach disease history, and family history of GC; and multivariable logistic regression was used to analyze the influencing factors of GC and to calculate the odds ratio (OR) of related factors and its 95% confidence interval (CI). Results: A total of 215 GC cases and 645 matched healthy controls were included in the final analysis, with a median age of 61 years for the case and control groups. Overall analysis showed that high educational level (above primary school) (OR = 0.362, 95% CI = 0.219–0.599, P < 0.001), overweight/obesity (BMI ≥24 kg/m 2 ; OR = 0.489, 95% CI = 0.329–0.726, P < 0.001), cigarette smoking (OR = 3.069, 95% CI = 1.700–5.540, P < 0.001), alcohol consumption (OR = 1.661, 95% CI = 1.028–2.683, P = 0.038), history of stomach disease (OR = 6.917, 95% CI = 4.594–10.416, P < 0.001), and family history of GC in first-degree relatives (OR = 4.291, 95% CI = 1.661–11.084, P = 0.003) were significantly correlated with the occurrence of GC. Subgroup analyses by age and gender indicated that GC risk was still increased in the presence of a history of stomach disease. A history of chronic gastritis, gastric ulcer, or gastric polyposis was positively associated with GC, with adjusted ORs of 4.155 (95% CI = 2.711–6.368), 1.839 (95% CI = 1.028–3.288), and 2.752 (95% CI = 1.197–6.326). Conclusions: Subjects who smoke, drink, with history of stomach disease and family history of GC in first-degree relatives are the high-risk populations for GC. Therefore, attention should be paid to these subjects for GC screening.