Background::Breast cancer is ranked among the most prevalent malignancies in the Chinese female population. However, comprehensive reports detailing the latest epidemiological data and attributable disease burden have not been extensively documented.Methods::In 2018, high-quality cancer surveillance data were recorded in 700 population-based cancer registries in China. We extracted data on female breast cancers (International Classification of Diseases, Tenth Revision [ICD-10]: C50) and estimated the incidence and mortality in 2022 according to the baseline data and corresponding trends from 2010 to 2018. Pathological types were classified according to the ICD for Oncology, 3rd Edition codes. Disability-adjusted life years (DALYs) were calculated as the sum of the years of life lost (YLLs) and years lived with disability (YLDs).Results::In 2022, approximately 357,200 new female breast cancer cases and 75,000 deaths occurred in China, accounting for 15.59% and 7.94% of total new cancer cases and deaths, respectively. The age-standardized incidence rate (ASIR) was 33.04 per 100,000. When analyzed by pathological type, the ASIRs for papillary neoplasms, invasive breast carcinoma, rare and salivary gland-type tumors, and other types were 1.13, 29.79, 0.24, and 1.88 per 100,000, respectively. The age-standardized mortality rate (ASMR) was 6.10 per 100,000. A total of 2,628,000 DALYs were found to be attributable to female breast cancer in China, comprising 2,278,300 YLLs and 349,700 YLDs. The ASIR, ASMR, and age-standardized rate (ASR) for DALYs in urban areas were consistently higher than those in rural areas. We observed a four-fold increase in the ASIR and ASR for DALYs and an eight-fold increase in the ASMR among females over 55 years compared with those aged under 55 years.Conclusion::These data provide invaluable insights into the latest epidemiology of female breast cancer in China and highlight the urgency for disease prevention and control strategy formulation.

Objective:The National Central Cancer Registry estimates the number of new cancer cases and deaths in China in 2022, using incidence and mortality data collected by the National Cancer Center.Methods:According to the data of 700 cancer registries in 2018 and the data of 106 cancer registries from 2010 to 2018, the age-period-cohort model was used to estimate the incidence rate and mortality rate of all cancers and 23 types of cancer in 2022, stratified by gender and urban and rural areas. We estimated the number of new cancer cases and deaths in China in 2022 based on the estimated rate and population data in 2022.Results:The estimated results showed that in 2022, there were approximately 4 824 700 new cancer cases in China (2 533 900 in males and 2 290 800 in females), with an age-standardized incidence rate of Chinese population (ASIR) of 208.58 per 100 000 (212.67 per 100 000 for males and 208.08 per 100 000 for females). Approximately 2 903 900 new cancer cases occurred in urban areas, with an ASIR of 212.95 per 100 000. It was estimated about 1 920 800 new cancer cases in rural areas, and the ASIR was 199.65 per 100 000. The top five cancers (lung cancer 1 060 600, colorectal cancer 517 100, thyroid cancer 466 100, liver cancer 367 700 and female breast cancer 357 200) accounted for 57.4% of all new cases. The estimated number of deaths from cancer in China in 2022 was 2 574 200 (1 629 300 in males and 944 900 in females), with an age-standardized mortality rate of Chinese population (ASMR) of 97.08 per 100 000 (127.70 per 100 000 in males and 68.67 per 100 000 in females). The number of deaths from cancer in urban and rural areas was about 1 400 600 and 1 173 400, with the ASMR of 92.37 and 103.97 per 100 000 in urban and rural areas, respectively. The top five leading cause of cancers death (lung cancer 733 300, liver cancer 316 500, gastric cancer 260 400, colorectal cancer 240 000 and esophageal cancer 187 500) accounted for 67.5% of all cancer deaths. Lung cancer ranked first in the incidence and mortality in men and women. The incidence rate in urban areas was higher than that in rural areas, while the mortality rate was lower than that in rural areas.Conclusions:The burden of cancer in China is still relatively heavy, with significant differences in cancer patterns in gender, urban-rural, and regional. The burden of cancer presents a coexistence of developed and developing countries, and the situation of cancer prevention and control is still serious in China.

The physiological function of postoperative patients had not returned to normal, coupled with surgical trauma, residual effects of anesthesia and analgesic drugs and potential risk factors, so postoperative patients need to be transferred to the post-anesthesia care unit for observation, until the vital signs were stable before being transferred to the general ward. This paper summarized the importance, safety management status, influencing factors and intervention measures of patient handover between operating room and post-anesthesia care unit, to provide guidance for clinical patient handover and improve the safety of patient handover.

Objective:The National Central Cancer Registry estimates the number of new cancer cases and deaths in China in 2022, using incidence and mortality data collected by the National Cancer Center.Methods:According to the data of 700 cancer registries in 2018 and the data of 106 cancer registries from 2010 to 2018, the age-period-cohort model was used to estimate the incidence rate and mortality rate of all cancers and 23 types of cancer in 2022, stratified by gender and urban and rural areas. We estimated the number of new cancer cases and deaths in China in 2022 based on the estimated rate and population data in 2022.Results:The estimated results showed that in 2022, there were approximately 4 824 700 new cancer cases in China (2 533 900 in males and 2 290 800 in females), with an age-standardized incidence rate of Chinese population (ASIR) of 208.58 per 100 000 (212.67 per 100 000 for males and 208.08 per 100 000 for females). Approximately 2 903 900 new cancer cases occurred in urban areas, with an ASIR of 212.95 per 100 000. It was estimated about 1 920 800 new cancer cases in rural areas, and the ASIR was 199.65 per 100 000. The top five cancers (lung cancer 1 060 600, colorectal cancer 517 100, thyroid cancer 466 100, liver cancer 367 700 and female breast cancer 357 200) accounted for 57.4% of all new cases. The estimated number of deaths from cancer in China in 2022 was 2 574 200 (1 629 300 in males and 944 900 in females), with an age-standardized mortality rate of Chinese population (ASMR) of 97.08 per 100 000 (127.70 per 100 000 in males and 68.67 per 100 000 in females). The number of deaths from cancer in urban and rural areas was about 1 400 600 and 1 173 400, with the ASMR of 92.37 and 103.97 per 100 000 in urban and rural areas, respectively. The top five leading cause of cancers death (lung cancer 733 300, liver cancer 316 500, gastric cancer 260 400, colorectal cancer 240 000 and esophageal cancer 187 500) accounted for 67.5% of all cancer deaths. Lung cancer ranked first in the incidence and mortality in men and women. The incidence rate in urban areas was higher than that in rural areas, while the mortality rate was lower than that in rural areas.Conclusions:The burden of cancer in China is still relatively heavy, with significant differences in cancer patterns in gender, urban-rural, and regional. The burden of cancer presents a coexistence of developed and developing countries, and the situation of cancer prevention and control is still serious in China.

BACKGROUND: Neuroendocrine neoplasms (NENs) are rare tumors characterized by variable biology and delayed diagnosis. However, the nationwide epidemiology of NENs has never been reported in China. We aimed to estimate the incidence and survival statistics of NENs in China, in comparison to those in the United States during the same period. METHODS: Based on the data from 246 population-based cancer registries covering 272.5 million people of China, we calculated age-specific incidence on NENs in 2017 and multiplied by corresponding national population to estimate the nationwide incidence in China. The data of 22 population-based cancer registries were used to estimate the trends of NENs incidence from 2000 to 2017 through the Joinpoint regression model. We used the cohort approach to analyze the 5-year age-standardized relative survival by sex, age group, and urban-rural area between 2008 and 2013, based on data from 176 high-quality cancer registries. We used data from the Surveillance, Epidemiology, and End Results (SEER) 18 program to estimate the comparable incidence and survival of NENs in the United States. RESULTS: The overall age-standardized rate (ASR) of NENs incidence was lower in China (1.14 per 100,000) than in the United States (6.26 per 100,000). The most common primary sites were lungs, pancreas, stomach, and rectum in China. The ASRs of NENs incidence increased by 9.8% and 3.6% per year in China and the United States, respectively. The overall 5-year relative survival in China (36.2%) was lower than in the United States (63.9%). The 5-year relative survival was higher for female patients than male patients, and was higher in urban areas than in rural areas. CONCLUSIONS The disparities in burden of NENs persist across sex, area, age group, and site in China and the United States. These findings may provide a scientific basis on prevention and control of NENs in the two countries.
Humans ; Male ; Female ; United States/epidemiology* ; Incidence ; Neuroendocrine Tumors/pathology* ; Neoplasms/epidemiology* ; Registries ; Urban Population ; China/epidemiology*

Objective·To study the effect of phosphatase and tensin homolog on chromosome 10(PTEN)on alternative splicing of forkhead box Ml(FoxM1),and its impact on tumor cell migration.Methods·PTEN was knocked down by short hairpin RNA(shRNA)in human embryonic kidney 293T cells,human prostate cancer DU145 cells,human colorectal adenocarcinoma RKO cells,and human colon cancer SW480 and SW620 cells.Specific primers were designed for FoxM1 and its subtypes FoxM1B and FoxM1C,and the mRNA expression levels of FoxM1B and FoxM1C were detected by quantitative real-time PCR(qRT-PCR).FoxM1B and FoxM1C were overexpressed in DU 145 cells,and their effects on tumor cell migration were tested by Transwell assay and wound healing assay.Immunofluorescence and dual luciferase reporter gene assay were used to explore the potential mechanism of differential regulation of tumor cell migration by FoxM1B and FoxM1C.Results·① PTEN was knocked down in 293T,DU 145,RKO,SW480,and SW620 cell lines.qRT-PCR results showed that compared with the control cells,the mRNA expression level of FoxM1B significantly increased in PTEN knockdown cells,while the mRNA expression level of FoxM1C decreased or remained unchanged.Knockdown of PTEN did not affect the transcription level of FoxM1,but caused the variable splicing of FoxM1 and promoted the generation of FoxM1B.② Compared with the control cells,the number of DU 145 cells migrating to the below chamber increased in the FoxM1B overexpression group(P=0.024),while the number of migrating DU 145 cells in the FoxM1C overexpression group was lower(P=0.000).The healing ability of DU 145 cells was significantly enhanced in the FoxM1B overexpression group(P=0.001),while the healing ability of DU145 cells was weakened in the FoxM1C overexpression group(P=0.021).Overall,FoxM1B and FoxM1C had opposite effects on tumor cell migration.FoxM1B promoted tumor cell migration,while FoxM1C inhibited tumor cell migration.③ Neither FoxM1B nor FoxM1C overexpression could induce β-catenin to enter the nucleus.Dual luciferase reporter gene assay showed no difference in the transcriptional activity of FoxM1B and FoxM1C.The difference between FoxM1B and FoxM1C in the regulation of tumor metastasis was also not mediated by β-catenin translocation.Conclusion·Knockdown of PTEN regulates the alternative splicing of FoxM1,leading to increasing expression of transcript FoxM 1B,which plays a positive role in tumor cell migration.

Abstract：Objective To evaluate the basic development status of public health emergencies of infectious diseases in Hainan Province from 2013 to 2022, analyze the distribution and characteristics of these emergencies, as to provide important scientific basis for the study and formulation of economic health development planning policies, for the health security policies and infectious disease prevention and control strategies in Hainan Province. Methods The relevant statistical data of public health emergencies involving infectious diseases reported in Hainan Province from 2013 to 2022 were collected, and the status quo of these emergencies was analyzed by using descriptive data statistical analysis method. The ARIMA model was used to predict the number of public health emergencies reported by infectious diseases in Hainan Province from 2023 to 2025. Results From 2013 to 2022, a total of 482 public health emergencies were reported in Hainan Province, of which 426 were infectious disease public health emergencies, accounting for 88.38%, with a total of 8 876 cases, an incidence rate of 0.61%, and eight deaths, a case fatality rate of 0.09%. The major public health emergencies of infectious diseases were unclassified events and general events, accounting for 69.25% and 29.58%, respectively. The main diseases were novel coronavirus infection, chickenpox and hand, foot and mouth disease, accounting for 45.07%, 15.49% and 11.97%, respectively; in terms of time distribution, the number of reported incidents showed an upward trend over time, with a decline in 2021, and mainly had three peak periods, April, August and December, with a total of 220 cases reported; in terms of regional distribution, the major cities and counties reported were Haikou, Wanning and Wenchang, accounting for 27.46%, 19.25% and 9.86%, respectively; in terms of location distribution, the events mainly occurred in schools, accounting for 42.02% of the total number of incidents. The ARIMA(1, 1, 0) model was used to predict infectious disease public health emergencies, and the results showed that the forecast state would be stable from 2023 to 2025, with no obvious upward trend, that is, the fluctuation range of public health emergencies related to infectious diseases in Hainan Province would be stable in the next three years. Conclusion The number of infectious disease public health emergencies reported in Hainan Province from 2013 to 2022 has increased year by year, with a decline in 2021. Although the forecast shows that public health emergencies such as infectious diseases are relatively stable with no obvious upward trend, the prevention and control of the epidemic should not be taken lightly. Hainan Province should continue to increase the investment in monitoring public health emergencies, improve the information system of public disease prevention and control, and carry out real-time monitoring of public health emergencies of infectious diseases.

BACKGROUND: Family clustering of esophageal cancer (EC) has been found in high-risk areas of China. However, the relationships between cancer family history and esophageal cancer and precancerous lesions (ECPL) have not been comprehensively reported in recent years. This study aimed to provide evidence for identification of high-risk populations. METHODS: This study was conducted in five high-risk areas in China from 2017 to 2019, based on the National Cohort of Esophageal Cancer. The permanent residents aged 40 to 69 years were examined by endoscopy, and pathological examination was performed for suspicious lesions. Information on demographic characteristics, environmental factors, and cancer family history was collected. Unconditional logistic regression was applied to evaluate odds ratios between family history related factors and ECPL. RESULTS: Among 33,008 participants, 6143 (18.61%) reported positive family history of EC. The proportion of positive family history varied significantly among high-risk areas. After adjusting for risk factors, participants with a family history of positive cancer, gastric and esophageal cancer or EC had 1.49-fold (95% confidence interval [CI]: 1.36-1.62), 1.52-fold (95% CI: 1.38-1.67), or 1.66-fold (95% CI: 1.50-1.84) higher risks of ECPL, respectively. Participants with single or multiple first-degree relatives (FDR) of positive EC history had 1.65-fold (95% CI: 1.47-1.84) or 1.93-fold (95% CI: 1.46-2.54) higher risks of ECPL. Participants with FDRs who developed EC before 35, 45, and 50 years of age had 4.05-fold (95% CI: 1.30-12.65), 2.11-fold (95% CI: 1.37-3.25), and 1.91-fold (95% CI: 1.44-2.54) higher risks of ECPL, respectively. CONCLUSIONS: Participants with positive family history of EC had significantly higher risk of ECPL. This risk increased with the number of EC positive FDRs and EC family history of early onset. Distinctive genetic risk factors of the population in high-risk areas of China require further investigation. TRIAL REGISTRATION ChiCTR-EOC-17010553.
Case-Control Studies ; China/epidemiology* ; Esophageal Neoplasms/pathology* ; Humans ; Precancerous Conditions/pathology* ; Risk Factors ; Stomach Neoplasms

The automatic recognition technology of muscle fatigue has widespread application in the field of kinesiology and rehabilitation medicine. In this paper, we used surface electromyography (sEMG) to study the recognition of leg muscle fatigue during circuit resistance training. The purpose of this study was to solve the problem that the sEMG signals have a lot of noise interference and the recognition accuracy of the existing muscle fatigue recognition model is not high enough. First, we proposed an improved wavelet threshold function denoising algorithm to denoise the sEMG signal. Then, we build a muscle fatigue state recognition model based on long short-term memory (LSTM), and used the Holdout method to evaluate the performance of the model. Finally, the denoising effect of the improved wavelet threshold function denoising method proposed in this paper was compared with the denoising effect of the traditional wavelet threshold denoising method. We compared the performance of the proposed muscle fatigue recognition model with that of particle swarm optimization support vector machine (PSO-SVM) and convolutional neural network (CNN). The results showed that the new wavelet threshold function had better denoising performance than hard and soft threshold functions. The accuracy of LSTM network model in identifying muscle fatigue was 4.89% and 2.47% higher than that of PSO-SVM and CNN, respectively. The sEMG signal denoising method and muscle fatigue recognition model proposed in this paper have important implications for monitoring muscle fatigue during rehabilitation training and exercise.
Electromyography ; Memory, Short-Term ; Muscle Fatigue ; Neural Networks, Computer ; Recognition, Psychology

Objective To explore the expression of miR-101-3p in gastric cancer and its mechanism on the invasion, metastasis, and angiogenesis of gastric cancer cells by targeting the STC-1 gene to regulate the PI3K/AKT signaling pathway. Methods qRT-PCR was used to detect the expression of miR-101-3p and STC-1 mRNA in gastric cancer tissues and BGC-823 cell and analyze the relationship between miR-101-3p expression and patients' clinical pathological factors. The cells were transfected with miRNA mimics and plasmids separately or in combination with Lipofectamine^TM 2000. TargetScanHuman prediction and dual-luciferase assay were used to verify the targeted regulation of miR-101-3p on STC-1. The effect and possible mechanism of miR-101-3p targeting the STC-1 gene on the invasion, metastasis, and angiogenesis of cancer cells were verified by scratch test, Transwell chamber test, Matrigel in vitro tube forming test, and Western blot assay. The development of the transplanted tumor was detected by nude mouse tumorigenicity test. Results The expression of STC-1 in gastric cancer tissues was higher than that in normal tissues. Compared with normal gastric tissues and GES-1 cells, miR-101-3p was down-regulated, and STC-1 mRNA was up-regulated in gastric cancer tissues and BGC-823 cell. The level of miR-101-3p was negatively correlated with the level of STC-1, and significantly correlated with the degree of tumor differentiation, TNM stage, and lymph node metastasis (P < 0.05). miR-101-3p directly targeted STC-1. The overexpression of miR-101-3p inhibited STC-1 expression and downregulated the expression of p-PI3K/PI3K, p-AKT/AKT, MMP-2, MMP-9, VEGF, and Ang2, consequently, inhibited tumor cell invasion, metastasis, and angiogenesis and reduced the size and weight of the transplanted tumors (P < 0.05). Conclusion miR-101-3p is down-regulated in gastric cancer and can target the STC-1 gene to regulate the PI3K/AKT signaling pathway and inhibit the invasion, metastasis, and angiogenesis of BGC-823 gastric cancer cells and the development of transplanted tumors in vivo.