Cancer survival analysis and spatial distribution during 2014-2016 in Shandong Province, China.

We aimed to analyse cancer survival and its spatial distribution in Shandong Province. A total of 609,861 cancer cases from 2014 to 2016 were included in the analysis. Survival analysis was performed using strs in Stata. Spatial analysis was performed with GeoDa to determine measures of global and local spatial autocorrelation. Hotspot analysis was used to identify spatial clusters of high values (hotspots) and low values (cold spots) through ArcGIS. The 5-year relative survival rates were 37.85% for all cancers combined, 29.29% for males and 48.88% for females. After age standardisation, the survival rates were 34.47% for all cancers, 28.43% for males and 41.56% for females. Cancers with higher survival rates included thyroid (78.80%), breast (69.52%), uterus (64.51%) and bladder (62.54%) cancers. However, cancers with lower survival rates included pancreatic (11.34%), liver (13.19%), lung (18.39%), bone (19.71%), gallbladder (19.78%), oesophagus (24.52%), and stomach (28.85%) cancers and leukaemia (26.30%). Cancer survival rates in urban areas (37.53%) were higher than those in rural areas (32.83%). From the geographic distribution of cancer survival, we observed that the survival rate displayed a downward trend from east to west and from north to south. The hotspot analysis revealed that some counties of Qingdao, Jinan, Zibo, Dongying and Yantai cities were hotspots, whereas almost all counties of Linyi city and some counties of Weifang, Heze, Rizhao, and Dezhou cities were cold spots. In conclusion, the cancer survival rate in Shandong is still lower than that in China overall. The early diagnosis and treatment of lung and digestive tract cancers need to be further strengthened. Nevertheless, our results reflect a critical first step in obtaining and reporting accurate and reliable estimates of survival in Shandong.

Quantifying substantial carcinogenesis of genetic and environmental factors from measurement error in the number of stem cell divisions.

BACKGROUND: The relative contributions of genetic and environmental factors versus unavoidable stochastic risk factors to the variation in cancer risk among tissues have become a widely-discussed topic. Some claim that the stochastic effects of DNA replication are mainly responsible, others believe that cancer risk is heavily affected by environmental and hereditary factors. Some of these studies made evidence from the correlation analysis between the lifetime number of stem cell divisions within each tissue and tissue-specific lifetime cancer risk. However, they did not consider the measurement error in the estimated number of stem cell divisions, which is caused by the exposure to different levels of genetic and environmental factors. This will obscure the authentic contribution of environmental or inherited factors. METHODS: In this study, we proposed two distinct modeling strategies, which integrate the measurement error model with the prevailing model of carcinogenesis to quantitatively evaluate the contribution of hereditary and environmental factors to cancer development. Then, we applied the proposed strategies to cancer data from 423 registries in 68 different countries (global-wide), 125 registries across China (national-wide of China), and 139 counties in Shandong province (Shandong provincial, China), respectively. RESULTS: The results suggest that the contribution of genetic and environmental factors is at least 92% to the variation in cancer risk among 17 tissues. Moreover, mutations occurring in progenitor cells and differentiated cells are less likely to be accumulated enough for cancer to occur, and the carcinogenesis is more likely to originate from stem cells. Except for medulloblastoma, the contribution of genetic and environmental factors to the risk of other 16 organ-specific cancers are all more than 60%. CONCLUSIONS: This work provides additional evidence that genetic and environmental factors play leading roles in cancer development. Therefore, the identification of modifiable environmental and hereditary risk factors for each cancer is highly recommended, and primary prevention in early life-course should be the major focus of cancer prevention.

Robust pure spin current induced by the photogalvanic effect in half-silicane with spatial inversion symmetry.

The spin-dependent photogalvanic (PG) effect in low-dimensional spin semiconductors has attracted great interest recently. Here, we have studied the spin semiconducting feature and spin-dependent photocurrent in a two-dimensional (2D) silicene-based device with spatial inversion symmetrical half-hydrogenation, in which half of the silicene is hydrogenated on the upper surface and half is hydrogenated on the lower surface. Because of the unique spin semiconductor properties and symmetry of the system, pure spin current can be robustly produced in both the zigzag and armchair directions for linearly and elliptically polarized light. The behavior of the spin-dependent photoresponse in the spin PG effect is highly anisotropic and can be tuned by the polarization/phase angles or photon energy (Eph). Moreover, the produced pure spin current in such a half-silicane device with spatial inversion symmetry via the PG effect is several orders of magnitude larger than that obtained in metal/semiconductor/metal systems. These findings suggest a promising approach for generating pure spin current by the PG effect and provide a new possibility for the application of 2D half-silicane in spintronics.

Spatial distribution and clusters of pancreatic cancer mortality in Shandong Province, China.

This study aimed to explore the geographic distribution and risk clusters of pancreatic cancer mortality from 2011 to 2013 in Shandong, China, and to detect the differences between urban and rural areas. Our data were obtained from the Shandong Death Registration System (SDRS) and were adjusted according to the underreporting level. The distribution of mortality was displayed with GIS-based maps at the county level. The results showed an increasing trend in pancreatic cancer mortality from the western region to the eastern region of Shandong. Additionally, four significant risk clusters were detected, and the most likely cluster was focused in the northeastern and northern regions. Urban-rural differences in the mortality distribution and risk clusters were also detected. In conclusion, our study identified pancreatic cancer mortality clusters in Shandong in urban and rural areas; these results can contribute to the development of effective and targeted strategies to control pancreatic cancer in different areas.

Individual- and Area-Level Socioeconomic Inequalities in Esophageal Cancer Survival in Shandong Province, China: A Multilevel Analysis.

BACKGROUND: China contributes to almost half of the esophageal cancer cases diagnosed globally each year. However, the prognosis information of this disease in this large population is scarce. METHODS: Data on a population-based cohort consisting of residents of Shandong Province, China who were diagnosed with esophageal cancer during the period from 2005 to 2014 were analyzed. The cancer-specific survival rates were estimated using Kaplan-Meier analysis. Discrete-time multilevel mixed-effects survival models were used to investigate socioeconomic status (SES) disparities on esophageal cancer survival. RESULTS: The unadjusted 1-, 3-, and 5-year cause-specific survival rates were 59.6% [95% confidence interval (CI), 59.2%-59.9%], 31.9% (95% CI, 31.5%-32.3%), and 23.6% (95% CI, 23.1%-24.0%), respectively. Patients of blue-collar occupations had higher risk of esophageal cancer-related death than those of white-collar occupations in the first 2 years after diagnosis. Rural patients had higher risk of death than urban patients in the first 3 years after diagnosis. The risks of esophageal cancer-related death among patients living in low/middle/high SES index counties were not different in the first 2 years after diagnosis. However, patients living in high SES index counties had better long-term survival (3-5 years postdiagnosis) than those living in middle or low SES index counties. CONCLUSIONS: Socioeconomic inequalities in esophageal cancer survival exist in this Chinese population. Higher individual- or area-level SES is associated with better short-term or long-term cancer survival. IMPACT: Elucidation of the relative roles of the SES factors on survival could guide interventions to reduce disparities in the prognosis of esophageal cancer.

Area socioeconomic status is independently associated with esophageal cancer mortality in Shandong, China.

Esophageal cancer (EC) is a leading cause of cancer death in China. Within Shandong Province, a geographic cluster with high EC mortality has been identified, however little is known about how area-level socioeconomic status (SES) is associated with EC mortality in this province. Multilevel models were applied to EC mortality data in 2011-13 among Shandong residents aged 40+ years. Area-level SES factors consisted of residential type (urban/rural) of the sub-county-level units (n = 262) and SES index (range: 0-10) of the county-level units (n = 142). After adjustment for age and sex, residents living in rural areas had a 22% (95% CI: 13-32%) higher risk of dying from EC than those in urban areas. With each unit increase in the SES index, the average risk of dying from EC reduced by 10% (95% CI: 3-18%). The adjustment of area-level SES variables had little impact on the risk ratio of EC mortality between the high-mortality cluster and the rest of Shandong. In conclusion, rural residence and lower SES index are strongly associated with elevated risks of EC death. However, these factors are independent of the high mortality in the cluster area of Shandong. The underlying causes for this geographic disparity need to be further investigated.

Spatial Analysis of Esophageal Cancer Mortality in a High-risk Population in China: Consistent Clustering Pattern in 1970-74 and 2011-13

Purpose: Almost half of the global esophageal cancer (EC) deaths occurred in China. This study aims to examine the geographic spread of EC mortality in two periods in a large Chinese population. Methods: Age-standardized mortality rates (ASMRs) for 140 county-level units in Shandong Province during the periods 1970-74 and 2011-13 were derived using data from the First National Cause-of-Death Survey and the Shandong Death Registration System, respectively. ASMRs were smoothed using Area-to-Area Poisson kriging technique. Spatial scan statistics were used to detect spatial clusters with higher EC mortality and clusters with greater temporal changes in EC mortality. Results: The provincial average ASMR decreased from 13.0 per 100,000 in 1970-74 to 5.8 in 2010-13. Almost all counties or districts have experienced a decrease in EC mortality, while the reduction was particularly pronounced in the mid-west region. This study has identified a geographical cluster with much higher EC mortality rates and the clustering pattern has largely unchanged over the past 40 years. Residents living in the cluster during 1970-74 were 2.7 (95% CI: 2.2-3.4) times more likely to die from EC than the rest of the province. The corresponding risk ratio for the 2011-13 cluster was 3.7 (95% CI: 2.8-5.0). Conclusions: This study detected a geographically defined subpopulation in Shandong, China with much higher risk of dying from EC. This spatial pattern has been consistent over the past few decades. The results suggest the key drives for geographic variations in esophageal cancer may not have changed.

The gap between cause-of-death statistics and Household Registration reports in Shandong, China during 2011-2013: Evaluation and adjustment for underreporting in the mortality data for 262 subcounty level populations.

Underreporting is a quality concern in mortality statistics. The purpose of this study was to assess and adjust underreporting in the population-based cause-of-death statistics. The total population (96 million) in Shandong, China was divided into 262 subcounty level populations geographically and by residence type (urban/rural). For each subpopulation, the total number of deaths during the years 2011-2013 was determined using data from the Household Registration System (HRS), and was used as a reference to assess the underreporting rate (UR) in the cause-of-death data from the Shandong Death Registration System (SDRS). It was estimated that 454,615 deaths, or 21.5% (95% CI: 21.4-21.5%) were unreported. Underreporting was more pronounced in rural (22.1%) versus urban communities (20.0%), in economically underdeveloped regions (32% versus 16% in least disadvantaged areas), and in newly included sites with no prior experience in cause-of-death reporting (24% versus 17%). Geographic variation was large with a UR at the prefectural level ranging from 11.2% to 43.7%. A stratified analysis showed that UR was higher in rural populations in high-income regions, but in middle- and low-income regions, was higher in urban communities. An adjustment factor (AF) was calculated for each of the 262 subpopulations (ranging from 0.9 to 2.5 with an average of 1.27). The total morality rate was adjusted from 6.03 to 7.67 deaths per 1000 persons. Underreporting in the SDRS varies greatly between areas and populations and is related to residence type, prior experience and local economy. Correcting underreporting at a local level is needed especially for comparative analyses across geographical areas or populations.

Changing cancer survival in China during 2003-15: a pooled analysis of 17 population-based cancer registries.

BACKGROUND: From 2003 to 2005, standardised 5-year cancer survival in China was much lower than in developed countries and varied substantially by geographical area. Monitoring population-level cancer survival is crucial to the understanding of the overall effectiveness of cancer care. We therefore aimed to investigate survival statistics for people with cancer in China between 2003 and 2015. METHODS: We used population-based data from 17 cancer registries in China. Data for the study population was submitted by the end of July 31, 2016, with follow-up data on vital status obtained on Dec 31, 2015. We used anonymised, individual cancer registration records of patients (aged 0-99 years) diagnosed with primary, invasive cancers from 2003 to 2013. Patients eligible for inclusion had data for demographic characteristics, date of diagnosis, anatomical site, morphology, behaviour code, vital status, and last date of contact. We analysed 5-year relative survival by sex, age, and geographical area, for all cancers combined and 26 different cancer types, between 2003 and 2015. We stratified survival estimates by calendar period (2003-05, 2006-08, 2009-11, and 2012-15). FINDINGS: There were 678 842 records of patients with invasive cancer who were diagnosed between 2003 and 2013. Of these records, 659 732 (97·2%) were eligible for inclusion in the final analyses. From 2003-05 to 2012-15, age-standardised 5-year relative survival increased substantially for all cancers combined, for both male and female patients, from 30·9% (95% CI 30·6-31·2) to 40·5% (40·3-40·7). Age-standardised 5-year relative survival also increased for most cancer types, including cancers of the uterus (average change per calendar period 5·5% [95% CI 2·5-8·5]), thyroid (5·4% [3·2-7·6]), cervix (4·5% [2·9-6·2]), and bone (3·2% [2·1-4·4]). In 2012-15, age-standardised 5-year survival for all patients with cancer was higher in urban areas (46·7%, 95% CI 46·5-47·0) than in rural areas (33·6%, 33·3-33·9), except for patients with oesophageal or cervical cancer; but improvements in survival were greater for patients residing in rural areas than in urban areas. Relative survival decreased with increasing age. The increasing trends in survival were consistent with the upward trends of medical expenditure of the country during the period studied. INTERPRETATION: There was a marked overall increase in cancer survival from 2003 to 2015 in the population covered by these cancer registries in China, possibly reflecting advances in the quality of cancer care in these areas. The survival gap between urban and rural areas narrowed over time, although geographical differences in cancer survival remained. Insight into these trends will help prioritise areas that need increased cancer care. FUNDING: National Key R&D Program of China, PUMC Youth Fund and the Fundamental Research Funds for the Central Universities, and Major State Basic Innovation Program of the Chinese Academy of Medical Sciences.

Lung cancer mortality clusters in Shandong Province, China: how do they change over 40 years?

Lung cancer has long been a major health problem in China. This study aimed to examine the temporal trend and spatial pattern of lung cancer mortality in Shandong Province from 1970 to 2013. Lung cancer mortality data were obtained from Shandong Death Registration System and three nationwide retrospective cause-of-death surveys. A Purely Spatial Scan Statistics method with Discrete Poisson models was used to detect possible high-risk spatial clusters. The results show that lung cancer mortality rate in Shandong Province increased markedly from 1970-1974 (7.22 per 100,000 person-years) to 2011-2013 (56.37/100, 000). This increase was associated with both demographic and non-demographic factors. Several significant spatial clusters with high lung cancer mortality were identified. The most likely cluster was located in the northern region of Shandong Province during both 1970-1974 and 2011-2013. It appears the spatial pattern remained largely consistent over the last 40 years despite the absolute increase in the mortality rates. These findings will help develop intervention strategies to reduce lung cancer mortality in this large Chinese population.

Corneal Endothelial Characteristics, Central Corneal Thickness, and Intraocular Pressure in a Population of Chinese Age-Related Cataract Patients.

PURPOSE: To describe corneal endothelial characteristics, central corneal thickness, and intraocular pressure in a population of Chinese age-related cataract patients and to determine the effects of age, gender, hypertension, and body mass index (BMI). METHODS: 1551 eyes were examined preoperatively. The parameters measured were endothelial cell density (CD), average cell area (CA), coefficient of variation (CV), cell hexagonality (HEX), central corneal thickness (CCT), intraocular pressure (IOP), and axial length (AL). RESULTS: There were significant differences in CV and BMI between genders. There was a significant decrease in CD, CCT, and IOP and, conversely, an increase in CA and BMI with increasing age. The patients who suffered from hypertension had bigger CA, less CD, and lower HEX than the patients who did not suffer from hypertension. CD has a negative correlation with age and CV and a positive correlation with CCT, CCT has a positive association with CD and IOP, and IOP had a negative relationship with age and a positive relationship with CCT, CA, and HEX. CONCLUSIONS: Normative data for the corneal endothelium, central corneal thickness, and intraocular pressure in the normal age-related cataract patients are reported which will serve as a baseline for comparative studies about cataract.

Female Breast Cancer Mortality Clusters in Shandong Province, China: A Spatial Analysis.

This study aimed to detect the spatial distribution and high-risk clusters of female breast cancer mortality for the years 2011 to 2013 in Shandong Province, China. The urban-rural difference in the spatial distribution and clusters of disease mortality were also examined. Breast cancer mortality data were obtained from the Shandong Death Registration System (SDRS) during 2011 to 2013 and were adjusted for the underreporting rate. The purely spatial scan Statistics method was performed using Discrete Poisson model. Seven significant spatial clusters for high mortality of female breast cancer were detected in Shandong Province at the county level; these clusters were mainly located in the eastern, southern, southwestern, central and northern regions. The spatial distributions differed significantly between urban and rural populations. Population ageing influenced the distribution of breast cancer clusters for the urban eastern residents. This study provided evidence for the presence of clusters of breast cancer mortality in Shandong, China and found urban-rural difference in the clusters, which is helpful for developing effective strategies to control breast cancer in different areas.

Cancer incidence and mortality in Shandong province, 2012.

OBJECTIVE: Population-based cancer registration data in 2012 from all available cancer registries in Shandong province were collected by Shandong Center for Disease Control and Prevention (SDCDC). SDCDC estimated the numbers of new cancer cases and cancer deaths in Shandong province with compiled cancer incidence and mortality rates. METHODS: In 2015, there were 21 cancer registries submitted data of cancer incidence and deaths occurred in 2012. All the data were checked and evaluated based on the National Central Cancer Registry (NCCR) criteria of data quality. Qualified data from 15 registries were used for cancer statistics analysis as provincial estimation. The pooled data were stratified by area (urban/rural), gender, age group (0, 1.4, 5.9, 10.14, …, 85+ years) and cancer type. New cancer cases and deaths were estimated using age-specific rates and corresponding provincial population in 2012. The Chinese census data in 2000 and Segi's population were applied for age-standardized rates. All the rates were expressed per 100,000 person-year. RESULTS: Qualified 15 cancer registries (4 urban and 11 rural registries) covered 17,189,988 populations (7,486,039 in urban and 9,703,949 in rural areas). The percentage of cases morphologically verified (MV%) and death certificate-only cases (DCO%) were 66.12% and 2.93%, respectively, and the mortality to incidence rate ratio (M/I) was 0.60. A total of 253,060 new cancer cases and 157,750 cancer deaths were estimated in Shandong province in 2012. The incidence rate was 263.86/100,000 (303.29/100,000 in males, 223.23/100,000 in females), the age-standardized incidence rates by Chinese standard population (ASIRC) and by world standard population (ASIRW) were 192.42/100,000 and 189.50/100,000 with the cumulative incidence rate (0.74 years old) of 22.07%. The cancer incidence, ASIRC and ASIRW in urban areas were 267.64/100,000, 195.27/100,000 and 192.02/100,000 compared to 262.32/100,000, 191.26/100,000 and 188.48/100,000 in rural areas, respectively. The cancer mortality was 164.47/100,000 (207.42/100,000 in males, 120.23/100,000 in females), the age-standardized incidence rates by Chinese standard population (ASMRC) and by world standard population (ASMRW) were 117.54/100,000 and 116.90/100,000, and the cumulative mortality rate (0.74 years old) was 13.53%. The cancer mortality, ASMRC and ASMRW were 141.59/100,000, 101.17/100,000 and 100.33/100,000 in urban areas, and 173.79/100,000, 124.20/100,000 and 123.64/100,000 in rural areas, respectively. Cancers of the lung, stomach, liver, esophagus, colorectum, female breast, brain, leukemia, bladder and pancreas were the most common cancers, accounting for about 82.12% of all cancer new cases. Lung cancer, stomach cancer, liver cancer, esophageal cancer, colorectal cancer, female breast cancer, pancreatic cancer, brain tumor, leukemia and lymphoma were the leading causes of cancer death, accounting for about 89.01% of all cancer deaths. The cancer spectrum showed difference between urban and rural, males and females both in incidence and mortality rates. CONCLUSIONS: Cancer surveillance information in Shandong province is making great progress with the increasing number of cancer registries, population coverage and the improving data quality. Cancer registration plays a fundamental role in cancer control by providing basic information on population-based cancer incidence, mortality, survival and time trend. The disease burden of cancer is serious in Shandong province, and so cancer prevention and control in Shandong province should be enhanced including health education, health promotion, cancer screening and cancer care services.

Associations of fibrinogen with metabolic syndrome in rural Chinese population.

AIM: Metabolic syndrome (MS) comprises a constellation of various metabolic abnormalities, but insulin resistance is considered the basis of the syndrome. The relationship of plasma fibrinogen with MS and insulin resistance remains inconclusive. The aim of this study was to assess whether plasma fibrinogen levels were associated with MS and insulin resistance in a rural population of China. METHODS: Participants were selected using a multi-stage random-sampling method. A standardized interview was conducted by trained personnel, and "metabolic syndrome" was defined according to the Chinese Diabetes Association. Insulin resistance was assessed by fasting insulin and HOMA-IR. Associations of fibrinogen levels with components of MS and insulin resistance were determined using correlation analysis and multiple linear regression analyses. RESULTS: A total of 1,792 participants (M: 815, W: 977) aged 15 to 85 years was studied. Adjusted mean fibrinogen concentration increased with increases in the number of MS components (p<0.001). Multiple linear regression analyses showed that fibrinogen concentration was significantly and positively associated with age, DBP and negatively with physical exercise and HDL-C in males and females, and positively with WHR, LogTG, and FPG in females. No statistically significant association between fibrinogen and insulin resistance was observed. CONCLUSIONS: Fibrinogen was significantly associated with MS, independent of major confounders. Insulin resistance showed an inconsistent association with fibrinogen.

[Study on the risk factors of hypertension among rural residents in mid-west areas of Shandong province, using the classification tree analysis methodology].

OBJECTIVE: To explore the risk factors of hypertension and risk population for adults aged > or = 25 in the mid-western rural areas of Shandong province and to provide evidence for development of intervention measure. METHODS: Subjects aged > or = 25 were selected by multi-stage stratified random sampling method. All participants were interviewed with a standard questionnaire and physically examined on height, weight, waist circumference, blood pressure and fasting plasma glucose (FPG). Classification tree analysis was employed to determine the risk factors of hypertension and high risk populations related to it. RESULTS: The major risk factors of hypertension would include age, abdominal obesity, overweight or obesity, family history and high blood sugar. The major populations at high risk would include populations as: a) being elderly, b) at middle-age but with: high blood sugar or with abdominal obesity/overweight, or with family history, c) people at middle-age but with family history and abdominal obesity. Through classification tree analysis, sensitivity, specificity and overall correct rates were 71.87%, 66.38% and 68.79%, respectively on 'learning sample' while 70.70%, 65.84% and 67.97% respectively on 'testing sample'. CONCLUSION: Efforts on both weight and blood sugar reduction were common prevention measures for general population. Different kinds of prevention and control measures should be taken according to different risk factors existed in the targeted high-risk population of hypertension. Community-based prevention and control for hypertension measures should be integrated when targeting the population at high risk.

[Estimation on the mortality and disease burden attributed to selected risk factors in Shandong province].

OBJECTIVE: To determine the major health related risk factors and provide evidence for policy-making, using health burden analysis on selected factors among general population from Shandong province. METHODS: Based on data derived from the Third Death of Cause Sampling Survey in Shandong, years of life lost (YLLs), years lived with disability (YLDs) and disability-adjusted life years (DALYs) were calculated according to the GBD methodology. Deaths and DALYs attributed to the selected risk factors were than estimated together with the PAF data from GBD 2001 study. The indirect method was employed to estimate the YLDs. RESULTS: 51.09% of the total deaths and 31.83% of the total DALYs from the Shandong population were resulted from the 19 selected risk factors. High blood pressure, smoking, low fruit and vegetable intake, alcohol consumption, indoor smoke from solid fuels, high cholesterol, urban air pollution, physical inactivity, overweight and obesity and unsafe injections in health care settings were identified as the top 10 risk factors for mortality which together caused 50.21% of the total deaths. Alcohol use, smoking, high blood pressure, low fruit and vegetable intake, indoor smoke from solid fuels, overweight and obesity, high cholesterol, physical inactivity, urban air pollution and iron-deficiency anemia were proved as the top 10 risk factors related to disease burden and were responsible for 29.04% of the total DALYs. CONCLUSION: Alcohol use, smoking and high blood pressure were determined as the major risk factors which influencing the health of residents in Shandong. The mortality and burden of disease could be reduced significantly if these major factors were effectively under control.

[Estimation of disability weights on malignant neoplasms in Shandong province].

OBJECTIVE: To determine stage-specific and average disability weights (DWs) of malignant neoplasm and provide support and evidence for study on burden of cancer and policy development in Shandong province. METHODS: Health status of each cancer patient identified during the cancer prevalence survey in Shandong, 2007 was investigated. In line with the GBD methodology in estimating DWs, the disability extent of every case was classified and evaluated according to the Six-class Disability Classification version and then the stage-specific weights and average DWs with their 95% confidence intervals were calculated, using SAS software. RESULTS: A total of 11 757 cancer cases were investigated and evaluated. DWs of specific stage of therapy, remission, metastasis and terminal of all cancers were 0.310, 0.218, 0.450 and 0.653 respectively. The average DW of all cancers was 0.317 (95%CI: 0.312 - 0.321). Weights of different stage and different cancer varied significantly, while no significant differences were found between males and females. DWs were found higher (> 0.4) for liver cancer, bone cancer, lymphoma and pancreas cancer. Lower DWs (< 0.3) were found for breast cancer, cervix uteri, corpus uteri, ovarian cancer, larynx cancer, mouth and oropharynx cancer. CONCLUSION: Stage-specific and average DWs for various cancers were estimated based on a large sample size survey. The average DWs of 0.317 for all cancers indicated that 1/3 healthy year lost for each survived life year of them. The difference of DWs between different cancer and stage provide scientific evidence for cancer prevention strategy development.