Objective: To analyze the trend of cancer incidence and age changes among men in cancer registration areas of China from 2000 and 2014. Methods: We select the information of national cancer registry with continuous data from 2000 to 2014, review and organize the monitoring data at the above registries. A total of 22 monitoring registries were included in this study. The covering population of male were about 314 330 648 person years. The information on the incidence of all male prostate cancer patients with C61 was extracted from the International Classification of Diseases-10^th Revision (ICD-10). To understand the incidence of male prostate cancer in each year, the age-standardized rate by Chinese population (ASR), average annual percent change (AAPC), adjusted mean age at onset were calculated. Incidence rates stratified by regions and age groups were also calculated. The linear regression model was employed to analyze the relationship between mean age at onset and year. Results: The prostate cancer incidence in China increased by 11.5% (95%CI: 10.3%-12.7%) from 2000(4.62/100 000) to 2014(21.62/100 000), the age-standardized incidence rate increased by 7.1% (95%CI: 6.0%-8.1%) and the growth of rural was greater than that of urban. The age-specific incidence showed that the incidence rate increased significantly among the age group of 50 years; the incidence rates in men who have the same age but with different birth years showed a significant increase as birth years increased. The adjusted mean age at diagnosis of prostate cancer in cancer registry areas was 74.09 years old in the year of 2000, reduced by 0.13 year old to 72.35 years old in 2014 (β=-0.13, P<0.001). The adjusted mean age at onset declined significantly over time in urban areas (β=-0.13, P<0.001). Conclusion The trend of prostate cancer incidence among men in cancer registry regions generally increased, and the average age at diagnosis declined slightly from 2000 to 2014.

Objective:To construct the prediction model of knee degeneration in patients with knee osteoarthritis based on bioelectrical impedance index, and evaluate the prediction performance and application efficiency of the model.Methods:This was a cross-sectional study. From May to July 2021, 248 knee joints of 124 patients with knee osteoarthritis at home from Shijiazhuang Yuqiang Community Health Service Center who participated in physical examination were selected by convenience sampling to establish the model. According to Kellgren-Lawrence (K-L) grading system, the knee joints were divided into four groups, namely K-L1 ( n=19) , K-L2 ( n=103) , K-L3 ( n=96) , and K-L4 ( n=30) . The indicators included in the model were selected through analysis of variance or Kruskal-Wallis test, and a prediction model of knee degeneration was established using support vector machine, and the model was optimized using grid parameter optimization method. The prediction performance of the model was evaluated by the area under the receiver operating characteristic (ROC) curve, sensitivity, specificity, accuracy, positive predictive value and negative predictive value. Results:The indicators in the model included age, complications, lumbar/back/hip pain, high-risk occupation, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) -pain, WOMAC-function, capacitive reactance and phase angle. The area under the ROC curve of the training set model was 0.999, the prediction accuracy was 0.920, and the 95% confidence interval was 0.868 to 0.957. The area under the ROC curve of the test set model was 0.833, the prediction accuracy was 0.682, and the 95% confidence interval was 0.572 to 0.780.Conclusions:The prediction model of knee degeneration has good prediction performance and is easy to use, which can be used as a screening tool for knee degeneration in patients with knee osteoarthritis.

Objective: To study the response characteristics of the posterior intralaminar nucleus (PIN) of auditory thalamus in VGluT2-Cre transgenic adult mice when exposed to white noise and 10K pure tone stimulation. Methods: All adult male Vglut2-Cre mice (8-12 weeks) were used in this study between Oct, 2017 and Oct, 2018. Using the calcium signal fiber photometry method, optic fiber was employed to locate on PIN by injecting AAV-hSyn-DIO-GCaMP6m virus, and thereafter, the activity of the target cluster neurons during different acoustic stimuli was recorded. Matlab was used for data processing and statistical analysis. Results: (1)In both white noise and 10 kHz pure tone as a continuous three-second stimulation, the peak amplitude of calcium signal activity generated in PIN by white noise was superior to that of pure tone, the statistic result showed significantly difference (n=6, t=2.404, P=0.037 1) . (2)In addition, when white noise and 10K pure tone played as consecutive 3 or 5 pips within three-second stimulation, the stimulus-following ability in a consecutive 3 pulses play within 3 seconds was far better than a consecutive 5 pips play within 3 seconds (in both white noise and 10 kHz pure tone), yet consecutive 3 pips play showed greater signal attenuation speed than that in consecutive 5 pips play, the statistic result showed significantly difference (n=6, t=2.748 P=0.033 4) .(3)Regardless of the intra-group comparisons between white noise and 10 kHz pure tone stimulation, PIN showed better signal response in a consecutive 3 pips play than consecutive 5 pips play or a continuous three-second stimulation. When came to the statistical analysis, the acoustic response degree of a continuous three-second stimulation was an intermediate between two others, both consecutive 3 or 5 pips play showed significantly difference. Conclusions The results suggest that under the same acoustic intensity, VGluT2-Cre transgenic adult mice′s PIN shows greater signal response in white noise than pure tone. PIN shows greater signal attenuation to repetition play of 10 kHz pure tone, which implies PIN shows stronger adaptation to 10 kHz pure tone than to white noise. Lastly, PIN is more responsive to a complex sound information (white noise) than to simple sound information (pure tone).

Objective: To estimate the incidence trend and change in the age distribution of female breast cancer in cancer registry areas in China from 2000 to 2014. Methods: 22 cancer registries in China with continuous monitoring data from 2000 to 2014 were selected. All datasets were checked and evaluated based on data quality control criteria and were included in the analysis. The cancer registries covered 675 954 193 person-years, including 342 010 930 person-years of male and 333 943 263 person-years of female. Female breast cancer cases (International Classification of Diseases-10^th Revision: C50) were extracted. Crude incidence rate (CR), age-standardized incidence rate by Chinese standard population(ASIRC), annual percent change (APC), crude and adjusted mean age at onset were calculated. Incidence rates stratified by regions and age groups were calculated. Results: Female breast cancer incidence rate significantly increased from 31.90/100 000 in 2000 to 63.30/100 000 in 2014. Incidence rate increased rapidly from 2000 to 2008 (CR: APC=6.5%, 95%CI: 5.3%-7.8%; ASIRC: APC=4.6%, 95%CI: 3.6%-5.7%). Its increment slowed down from 2008-2014 (CR: APC=3.2%, 95%CI: 1.4%-5.1%; ASIRC: APC=1.4%, 95%CI:-0.1%-2.9%). The crude mean age at onset increased from 54.4 in 2000 to 57.0 in 2014. Adjusted mean age at onset remained around 54.3 in 2014. Crude mean age at onset increased significantly over time in all registry areas (β=0.192, P<0.001), urban (β=0.205, P<0.001) and rural (β=0.092, P=0.014) areas, while adjusted mean age at onset remained stable in all registry areas (β=0.009, P=0.289), urban (β=0.017, P=0.139) and rural (β=-0.054, P=0.109) areas. Conclusion Female breast cancer incidence rate in China increased from 2000 to 2014. Aging of the population resulted in a significant increase in crude mean age at onset. After age adjustment, no significant changes in age distribution were found.

Objective: To analyze the trends of cancer incidence and age changes in China with using cancer registration data, and to provide evidence for the development of cancer prevention and control. Methods: Twenty-two cancer registries with continuous (2000-2014) data were selected. The incidence of different sex and regional population, the standardized incidence rate by Chinese population, the average annual change percentage (AAPC) and annual change percentage(APC) were calculated. Age-period-cohort model were used to analyze the changes of cancer incidence, age-adjusted mean ages. The age-standardized proportion of 2000 and 2014 with were compared. Results: The cancer incidence in China increased by 3.9% (95%CI: 3.7%-4.1%) from 2000 to 2014 in APC, and the age-standardized incidence rate increased by 1.2% (95%CI: 1.0%-1.4%) in AAPC. The age-specific incidence showed that each age groups increased significantly in female, ranged between 0.9% to 6.0%. The APC in male aged from 60 years old showed decline trend, the APC in 60-69, 70-79, ≥80 years old were -0.2, -0.3, -0.3, while in the population aged 0-29, 30-39 years old increased dramatically, APC were 3.5, 2.0. Female under 60 also increased, and APC in 0-29, 30-39, 40-49, 0-59 years old were 5.7, 6.0, 3.4, 2.9, respectively. The mean age of patients diagnosed with cancer were increased during the past 15 years, with about 0.11 years per year increased. However, the mean age of the patients diagnosed with cancer showed decreased trend by 0.13 years after age structure adjusted. Conclusion The trend of mean age for cancer incidence in China were getting younger than before, and the trend in women is more obviously than in man.

Objective The registration data of local cancer registries in 2014 were collected by National Central Cancer Registry ( NCCR) in 2017 to estimate the cancer incidence and mortality in China. Methods The data submitted from 449 registries were checked and evaluated, and the data of 339 registries out of them were qualified and selected for the final analysis. Cancer incidence and mortality were stratified by area, gender, age group and cancer type, and combined with the population data of 2014 to estimate cancer incidence and mortality in China. The age composition of standard population of Chinese census in 2000 and Segi′s population were used for age?standardized incidence and mortality in China and worldwide, respectively. Results Total covered population of 339 cancer registries ( 129 in urban and 210 in rural) in 2014 were 288243347 ( 144061915 in urban and 144181432 in rural areas) . The mortality verified cases ( MV％) were 68. 01％. Among them, 2.19％ cases were identified through death certifications only ( DCO％) , and the mortality to incidence ratio was 0.61. There were about 3,804,000 new cases diagnosed as malignant cancer and 2, 296, 000 cases dead in 2014 in the whole country. The incidence rate was 278.07/100,000 ( males 301.67/100,000, females 253.29/100,000) in China, age?standardized incidence rates by Chinese standard population ( ASIRC) and by world standard population were 190.63/100,000 and 186.53/100,000, respectively, and the cumulative incidence rate (0?74 age years old) was 21.58％. The cancer incidence and ASIRC in urban areas were 302. 13/100, 000 and 196.58/100, 000, respectively, whereas in rural areas, those were 248.94/100,000 and 182.64/100,000, respectively. The cancer mortality in China was 167.89/100, 000 ( 207.24/100, 000 in males and 126.54/100, 000 in females ) , age?standardized mortality rates by Chinese standard population ( ASMRC ) and by world standard population were 106.98/100,000 and 106.09/100,000, respectively. And the cumulative incidence rate (0?74 age years old) was 12.00％. The cancer mortality and ASMRC in urban areas were 174.34/100,000 and 103.49/100,000, respectively, whereas in rural areas, those were 160.07/100,000 and 111.57/100,000, respectively. Lung cancer, gastric cancer, colorectal cancer, liver cancer, female breast cancer, esophageal cancer, thyroid cancer, cervical cancer, encephala and pancreas cancer, were the most common cancers in China, accounting for about 77.00％ of the new cancer cases. Lung cancer, liver cancer, gastric cancer, esophageal cancer, colorectal cancer, pancreatic cancer, breast cancer, encephala, leukemia and lymphoma were the leading causes of death and accounted for about 83.36％ of cancer deaths. Conclusions The progression of cancer registry in China develops rapidly in these years, with the coverage of registrations is expanded and the data quality was improved steadily year by year. As the basis of cancer prevention and control program, cancer registry plays an important role in making the medium and long term of anti?cancer strategies in China. As China is still facing the serious cancer burden and the cancer patterns varies differently according to the locations and genders, effective measures and strategies of cancer prevention and control should be implemented based on the practical situation.

Objective The registration data of local cancer registries in 2014 were collected by National Central Cancer Registry ( NCCR) in 2017 to estimate the cancer incidence and mortality in China. Methods The data submitted from 449 registries were checked and evaluated, and the data of 339 registries out of them were qualified and selected for the final analysis. Cancer incidence and mortality were stratified by area, gender, age group and cancer type, and combined with the population data of 2014 to estimate cancer incidence and mortality in China. The age composition of standard population of Chinese census in 2000 and Segi′s population were used for age?standardized incidence and mortality in China and worldwide, respectively. Results Total covered population of 339 cancer registries ( 129 in urban and 210 in rural) in 2014 were 288243347 ( 144061915 in urban and 144181432 in rural areas) . The mortality verified cases ( MV％) were 68. 01％. Among them, 2.19％ cases were identified through death certifications only ( DCO％) , and the mortality to incidence ratio was 0.61. There were about 3,804,000 new cases diagnosed as malignant cancer and 2, 296, 000 cases dead in 2014 in the whole country. The incidence rate was 278.07/100,000 ( males 301.67/100,000, females 253.29/100,000) in China, age?standardized incidence rates by Chinese standard population ( ASIRC) and by world standard population were 190.63/100,000 and 186.53/100,000, respectively, and the cumulative incidence rate (0?74 age years old) was 21.58％. The cancer incidence and ASIRC in urban areas were 302. 13/100, 000 and 196.58/100, 000, respectively, whereas in rural areas, those were 248.94/100,000 and 182.64/100,000, respectively. The cancer mortality in China was 167.89/100, 000 ( 207.24/100, 000 in males and 126.54/100, 000 in females ) , age?standardized mortality rates by Chinese standard population ( ASMRC ) and by world standard population were 106.98/100,000 and 106.09/100,000, respectively. And the cumulative incidence rate (0?74 age years old) was 12.00％. The cancer mortality and ASMRC in urban areas were 174.34/100,000 and 103.49/100,000, respectively, whereas in rural areas, those were 160.07/100,000 and 111.57/100,000, respectively. Lung cancer, gastric cancer, colorectal cancer, liver cancer, female breast cancer, esophageal cancer, thyroid cancer, cervical cancer, encephala and pancreas cancer, were the most common cancers in China, accounting for about 77.00％ of the new cancer cases. Lung cancer, liver cancer, gastric cancer, esophageal cancer, colorectal cancer, pancreatic cancer, breast cancer, encephala, leukemia and lymphoma were the leading causes of death and accounted for about 83.36％ of cancer deaths. Conclusions The progression of cancer registry in China develops rapidly in these years, with the coverage of registrations is expanded and the data quality was improved steadily year by year. As the basis of cancer prevention and control program, cancer registry plays an important role in making the medium and long term of anti?cancer strategies in China. As China is still facing the serious cancer burden and the cancer patterns varies differently according to the locations and genders, effective measures and strategies of cancer prevention and control should be implemented based on the practical situation.

Objective Using updated population?based cancer registration ( PBCR ) data, we estimated nation?wide liver cancer statistics overall, by sex and by areas in China. Methods Qualified PBCR data of liver cancer in 2015 which met the data quality criteria were stratified by geographical locations, sex, and age groups. Age?specific incidence and mortality rates by sex and area were calculated. The burden of liver cancer was evaluated by multiplying these rates by the year of 2015 population. Chinese standard population in 2000 and World Segi′s population were used for the calculation of age?standardized rates (ASR ) of incidence and mortality. Results Qualified 368 cancer registries covered a total of 309 553 499 populations in China, accounting for 22.52% of the national population. It is estimated that there were 370 000 new cases ( 274 000 males and 96 000 females) of liver cancer in China. The age? standardized incidence rates by Chinese standard population ( ASR China) and World Segi′s population ( ASR World) were 17.64 per 100 000 and 17.35 per 100 000, respectively. Rural areas showed higher incidence (ASR China: 20.07 per 100 000, ASR World: 19.67 per 100 000) than urban areas (ASR China: 15.90 per 100 000, ASR world: 15.67 per 100 000). Subgroup analysis showed that western areas of China had highest incidence rate of liver cancer, with the ASR China of 20.65 per 100 000 and 20.22 per 100 000 for ASR world, respectively. For new cases of liver cancer deaths, there were 326 000 new deaths ( 242 000 males and 84 000 females) in China, with age?standardized mortality rate by Chinese standard population and World Segi′s population of 15.33 per 100 000 and 15.09 per 100 000, respectively. Rural areas showed higher mortality (ASR China:17.17 per 100 000, ASR world: 16.86 per 100 000) than urban areas ( ASR China: 14.00 per 100 000, ASR World: 13.81 per 100 000).Conclusions There is still a heavy burden of liver cancer in China. Rural residents have higher incidence and mortality of liver cancer compared with urban counterparts. It is likely that many factors such as hepatitis virus infection, and aflatoxin exposure play a dominating role. Prevention and control strategies should be enhanced in the future.

Objective Using updated population?based cancer registration ( PBCR ) data, we estimated nation?wide liver cancer statistics overall, by sex and by areas in China. Methods Qualified PBCR data of liver cancer in 2015 which met the data quality criteria were stratified by geographical locations, sex, and age groups. Age?specific incidence and mortality rates by sex and area were calculated. The burden of liver cancer was evaluated by multiplying these rates by the year of 2015 population. Chinese standard population in 2000 and World Segi′s population were used for the calculation of age?standardized rates (ASR ) of incidence and mortality. Results Qualified 368 cancer registries covered a total of 309 553 499 populations in China, accounting for 22.52% of the national population. It is estimated that there were 370 000 new cases ( 274 000 males and 96 000 females) of liver cancer in China. The age? standardized incidence rates by Chinese standard population ( ASR China) and World Segi′s population ( ASR World) were 17.64 per 100 000 and 17.35 per 100 000, respectively. Rural areas showed higher incidence (ASR China: 20.07 per 100 000, ASR World: 19.67 per 100 000) than urban areas (ASR China: 15.90 per 100 000, ASR world: 15.67 per 100 000). Subgroup analysis showed that western areas of China had highest incidence rate of liver cancer, with the ASR China of 20.65 per 100 000 and 20.22 per 100 000 for ASR world, respectively. For new cases of liver cancer deaths, there were 326 000 new deaths ( 242 000 males and 84 000 females) in China, with age?standardized mortality rate by Chinese standard population and World Segi′s population of 15.33 per 100 000 and 15.09 per 100 000, respectively. Rural areas showed higher mortality (ASR China:17.17 per 100 000, ASR world: 16.86 per 100 000) than urban areas ( ASR China: 14.00 per 100 000, ASR World: 13.81 per 100 000).Conclusions There is still a heavy burden of liver cancer in China. Rural residents have higher incidence and mortality of liver cancer compared with urban counterparts. It is likely that many factors such as hepatitis virus infection, and aflatoxin exposure play a dominating role. Prevention and control strategies should be enhanced in the future.

The secondary motor cortex (M2) encodes choice-related information and plays an important role in cue-guided actions. M2 neurons innervate the dorsal striatum (DS), which also contributes to decision-making behavior, yet how M2 modulates signals in the DS to influence perceptual decision-making is unclear. Using mice performing a visual Go/No-Go task, we showed that inactivating M2 projections to the DS impaired performance by increasing the false alarm (FA) rate to the reward-irrelevant No-Go stimulus. The choice signal of M2 neurons correlated with behavioral performance, and the inactivation of M2 neurons projecting to the DS reduced the choice signal in the DS. By measuring and manipulating the responses of direct or indirect pathway striatal neurons defined by M2 inputs, we found that the indirect pathway neurons exhibited a shorter response latency to the No-Go stimulus, and inactivating their early responses increased the FA rate. These results demonstrate that the M2-to-DS pathway is crucial for suppressing inappropriate responses in perceptual decision behavior.
Mice ; Animals ; Motor Cortex ; Corpus Striatum/physiology* ; Neostriatum ; Neurons/physiology* ; Reaction Time