Baseline Performance of Ultrasound-Based Strategies in Breast Cancer Screening Among Chinese Women.

RATIONALE AND OBJECTIVE: There is a notable absence of robust evidence on the efficacy of ultrasound-based breast cancer screening strategies, particularly in populations with a high prevalence of dense breasts. Our study addresses this gap by evaluating the effectiveness of such strategies in Chinese women, thereby enriching the evidence base for identifying the most efficacious screening approaches for women with dense breast tissue. METHODS: Conducted from October 2018 to August 2022 in Central China, this prospective cohort study enrolled 8996 women aged 35-64 years, divided into two age groups (35-44 and 45-64 years). Participants were screened for breast cancer using hand-held ultrasound (HHUS) and automated breast ultrasound system (ABUS), with the older age group also receiving full-field digital mammography (FFDM). The Breast Imaging Reporting and Data System (BI-RADS) was employed for image interpretation, with abnormal results indicated by BI-RADS 4/5, necessitating a biopsy; BI-RADS 3 required follow-up within 6-12 months by primary screening strategies; and BI-RADS 1/2 were classified as negative. RESULTS: Among the screened women, 29 cases of breast cancer were identified, with 4 (1.3‰) in the 35-44 years age group and 25 (4.2‰) in the 45-64 years age group. In the younger age group, HHUS and ABUS performed equally well, with no significant difference in their AUC values (0.8678 vs. 0.8679, P > 0.05). For the older age group, ABUS as a standalone strategy (AUC 0.9935) and both supplemental screening methods (HHUS with FFDM, AUC 0.9920; ABUS with FFDM, AUC 0.9928) outperformed FFDM alone (AUC 0.8983, P < 0.05). However, there was no significant difference between HHUS alone and FFDM alone (AUC 0.9529 vs. 0.8983, P > 0.05). CONCLUSION: The findings indicate that both HHUS and ABUS exhibit strong performance as independent breast cancer screening strategies, with ABUS demonstrating superior potential. However, the integration of FFDM with these ultrasound techniques did not confer a substantial improvement in the overall effectiveness of the screening process.

Special issue "The advance of solid tumor research in China": Participants with a family history of cancer have a higher participation rate in low-dose computed tomography for lung cancer screening.

We aimed to determine participation in low-dose computed tomography (LDCT) of individuals with a family history of common cancers in a population-based screening program to provide timely evidence in high-risk populations in China. The analysis was conducted using data from the Cancer Screening Program in Urban China (CanSPUC), which recruited 282 377 participants aged 40 to 74 years from eight cities in the Henan province. Using the CanSPUC risk score system, 55 428 participants were evaluated to have high risk for lung cancer and were recommended for LDCT. We calculated the overall and group-specific participation rates using family history of common cancers and compared differences in participation rates between different groups. Odds ratios (ORs) and 95% confidence intervals were derived by multivariable logistic regression. Of the 55 428 participants, 22 260 underwent LDCT (participation rate, 40.16%). Family history of lung, esophageal, stomach, liver and colorectal cancer was associated with increased participation in LDCT screening. The odds of participants with a family history of one, two, three and four or more cancer cases undergoing LDCT screening were 1.9, 2.7, 2.8 and 3.5 times, respectively, than those without a family history of cancer. Compared to those without a history of cancer, participation in LDCT gradually increased as the number of cancer cases in the family increased (P < .001). Our findings suggest that there is room for improvement in lung cancer screening given the relatively low participation rate. Lung cancer screening in populations with a family history of cancer may improve efficiency and cost-effectiveness; however, this requires further verification.

Incidence and mortality of lung cancer in 2018 and the temporal trends from 2010 to 2018 in Henan province, China: a population-based registry study.

Background: The disease burden of lung cancer is high in Henan province, China, it is out of the utmost significance to figure the current epidemic status and temporal trend of lung cancer for effective prevention and control. Methods: The qualified data was obtained from the Henan Provincial Central Cancer Registry of China, covering 30.51% of the whole population. Incidence, mortality, proportions, and cumulative rates (among patients aged 0-74 years old) of lung cancer by areas, sex and age groups were estimated. The world Segi's standard population was applied to calculate the age-standardized rate. Joinpoint regression was used to calculate annual percentage change (APC) and average annual percentage change (AAPC) to evaluate temporal trends from 2010 to 2018. Results: In 2018, there were about 55,344 new cases of lung cancer in Henan province, with the crude incidence of 50.75/100,000, the age-standardized incidence rate by world standard (Segi's) population (ASIRW) of 37.14/100,000, and the cumulative rate of 4.57%. About 41,782 people died from lung cancer in 2018, with the crude mortality rate of 38.31/100,000, the age-standardized mortality rate by world standard (Segi's) population (ASMRW) of 27.09/100,000, and the cumulative rate of 3.22%. The age-specific incidence and mortality of lung cancer increased gradually as age increased and reached the peak at the age of 85+ years. The overall ASIRW (AAPC =0.3, P=0.531) and ASMRW (AAPC =-0.2, P=0.687) remained stable from 2010 to 2018, but decreased in urban areas from 2014 to 2018 (APC for ASIRW =-4.7, P=0.023; APC for ASMRW =-5.3, P=0.012). From 2010 to 2018, the incidence rate increased in the rural population aged 75+ years old (AAPC =4.2, P=0.023). Conclusions: The incidence and mortality rates of lung cancer significantly decreased in urban areas partly due to the Cancer Screening Program in Urban China. Nonetheless, the disease burden remains high, especially in males and elderly population. Comprehensive prevention and control programs, such as smoking cessation intervention, screening, early diagnosis and early treatment programs, need to be implemented to reduce the burden of lung cancer.

A cluster randomized controlled trial to evaluate the efficacy of esophageal and gastric cancer screening in mortality reduction in a non-high-incidence area: methodology and initial results.

Background: A cluster randomized controlled trial of endoscopy-based screening for esophageal cancer (EC) and gastric cancer (GC) was conducted to evaluate the efficacy and feasibility of this strategy in a non-high-incidence rural area of China. The trial design and baseline findings are presented here. Methods: A total of 33 eligible villages in Luoshan County in Henan Province were assigned randomly to the intervention or control group in a 1:1 ratio by a computer-generated randomization list. Local residents aged 40 to 69 years were enrolled from the villages. Participants in the intervention group were risk-stratified with a questionnaire, and high-risk individuals were subsequently screened by endoscopy. The primary outcomes were EC and GC mortality. The secondary outcomes comprised the detection rate, stage distribution, and the treatment rate. In this study, baseline characteristics were assessed by a questionnaire. Multivariate logistic regression analysis was performed to explore factors associated with endoscopy compliance. Results: Trial recruitment was completed in 2017, and ultimately, there were 12,475 and 11,442 participants allocated to the intervention (17 clusters) and the control group (16 clusters), respectively. We included 23,653 participants in the analysis, with 12,402 in the intervention group and 11,251 in the control group. A total of 6,286 (50.7%) participants in the intervention group were estimated as high-risk individuals, and 2,719 (43.3%) underwent endoscopy. Multivariate logistic regression analysis demonstrated that some factors including age, gender, education, personality and mental health, and upper gastrointestinal diseases or symptoms might affect endoscopy compliance. The detection rates for positive cases of EC and GC were 0.22% and 0.55%, respectively. The rates for esophageal and gastric precancerous lesions were 0.70% and 2.35%, respectively. The early detection rates for EC and GC were 50.0% and 33.3%, respectively. Additionally, the overall treatment rate for positive cases was 90.0%. Conclusions: The diagnostic yield of endoscopy-based screening for EC and GC was relatively low in a non-high-incidence rural area. The study may offer clues for the improvement of endoscopy compliance and the optimization of screening strategies for upper gastrointestinal cancer in non-high-incidence areas. Trial Registration: Chinese Clinical Trial Registry ChiCTR-EOR-16008577.

Development and Validation of a Noninvasive Risk Score Model for Liver Cirrhosis in At-Risk Alcohol Drinkers Without HBV/HCV Infection.

At-risk alcohol consumption is the established most important risk factor for cirrhosis in people without HBV/HCV infection. We aimed to develop and validate a simple and non-invasive tool for triaging cirrhosis risk in at-risk alcohol drinkers without HBV/HCV infection. A large-sample size, cross-sectional study within the framework of a population-based Cancer Screening Program in Urban China (CanSPUC) was conducted. Data on the liver cancer screening in Henan province, China were used. At-risk alcohol drinkers were those who currently drink one or more alcohol units per week for at least six months. A total of 6,581 eligible participants enrolled from October 1, 2013 to December 31, 2016 were included into the derivation dataset, and 2,096 eligible participants enrolled from January 1, 2017 to October 31, 2018 were included into the external validation dataset, respectively. Using the derivation dataset, a 20-point scale risk score model was developed, based on sex, education background, dietary intake of vegetables, dietary intake of roughage, smoking index, length of secondhand smoke exposure, history of fatty liver, history of diabetes, and first-degree family history of liver cancer. The model showed excellent discrimination (AUC = 0.787; 95% CI, 0.7603-0.812) and calibration (Hosmer-Lemeshow test: P = 0.123) in the derivation dataset and an optimal cut-off value of 12 yield sensitivity of 61.3%, specificity of 82.7%. The model also had achieved similar performance in the external validation dataset. In conclusion, this model can be a practical tool to identify and triage population at high risk of cirrhosis in at-risk alcohol drinkers without HBV/HCV infection. PREVENTION RELEVANCE: The risk model we developed will not only be used as a practical tool to triage high risk groups for liver cirrhosis, but also have implications for public health measures, such as guidelines for the prevention of liver cancer, in at-risk alcohol drinkers without HBV/HCV infection.

Incidence and mortality of colorectal cancer in 2017 and the time-trend from 2010 to 2017 in Henan province, China: a population-based registry study.

Background: Henan province is an area with a serious disease burden of colorectal cancer (CRC) in China. Understanding the current incidence and mortality and the time-trend is critical to formulate and optimize prevention and control strategies for CRC. However, the current incidence and mortality and time-trend of CRC in Henan province, China have not been reported. Methods: CRC data was got from the Henan Provincial Central Cancer Registry of China in which the data was submitted from local cancer registries. Combined with the census data, the incidence, mortality, proportion, age-standardized rate by Chinese population (ASRC), age-standardized rate by world population (ASRW), and cumulative incidence and mortality (0-74 years old) of CRC by urban and rural population, gender, and age groups were estimated. The average annual percentage change (AAPC) and its 95% confidence interval (CI) of ASRC from 2010 to 2017 were analyzed. Results: In 2017, it was estimated that there were 20,275 new cases and 10,046 deaths of CRC in Henan province. The crude incidence was 18.73/100,000, with an age-standardized incidence rate by Chinese population (ASIRC) of 13.97/100,000 and age-standardized mortality rate by world population (ASIRW) of 13.78/100,000. The cumulative incidence was 1.66%. The mortality rate was 9.28/100,000, with an age-standardized mortality rate by Chinese population (ASMRC) of 6.49/100,000 and an age-standardized mortality rate by world population (ASMRW) of 6.45/100,000. The cumulative mortality rate was 0.69%. The ASIRC and ASMRC were higher in urban areas (15.89/100,000, 7.19/100,000) than in rural areas (13.13/100,000, 6.20/100,000), and higher in males (15.53/100,000, 7.44/100,000) than in females (12.48/100,000, 5.66/100,000). The age-specific incidence reached the peak at age of 80-84, and the age-specific mortality reached the peak at age 85. From 2010 to 2017, the overall ASIRC and ASMRC showed a steady trend (P>0.05), while an upward trend was observed in the mortality rate in urban males (AAPC =3.4, 95% CI: 0.2-6.7, P=0.040). Conclusions: The incidence and mortality of CRC were high in Henan province, and higher in urban areas and males. It is critical to strengthen the prevention and control of CRC, carry out targeted intervention, and promote screening and early diagnosis and treatment, particularly among urban areas and males.

Corrigendum: Construction and Validation of a Lung Cancer Risk Prediction Model for Non-Smokers in China.

[This corrects the article DOI: 10.3389/fonc.2021.766939.].

A risk prediction model for selecting high-risk population for computed tomography lung cancer screening in China.

OBJECTIVE: Two large randomized controlled trials (RCTs) have demonstrated that low dose computed tomography (LDCT) screening reduces lung cancer mortality. Risk-prediction models have been proved to select individuals for lung cancer screening effectively. With the focus on established risk factors for lung cancer routinely available in general cancer screening settings, we aimed to develop and internally validated a risk prediction model for lung cancer. MATERIALS AND METHODS: Using data from the Cancer Screening Program in Urban China (CanSPUC) in Henan province, China between 2013 and 2019, we conducted a prospective cohort study consisting of 282,254 participants including 126,445 males and 155,809 females. Detailed questionnaire, physical assessment and follow-up were completed for all participants. Using Cox proportional risk regression analysis, we developed the Henan Lung Cancer Risk Models based on simplified questionnaire. Model discrimination was evaluated by concordance statistics (C-statistics), and model calibration was evaluated by the bootstrap sampling, respectively. RESULTS: By 2020, a total of 589 lung cancer cases occurred in the follow-up yielding an incident density of 64.91/100,000 person-years (pyrs). Age, gender, smoking, history of tuberculosis and history of emphysema were included into the model. The C-index of the model for 1-year lung cancer risk was 0.766 and 0.741 in the training set and validation set, respectively. In stratified analysis, the model showed better predictive power in males, younger participants, and former or current smoking participants. The model calibrated well across the deciles of predicted risk in both the overall population and all subgroups. CONCLUSIONS: We developed and internally validated a simple risk prediction model for lung cancer, which may be useful to identify high-risk individuals for more intensive screening for cancer prevention.

Risk of Liver Cirrhosis in HBV/HCV-Infected Individuals with First-Degree Relatives Who Have Liver Cancer: Development and Validation of a Simple Model.

Identification of high-risk population among hepatitis B virus (HBV)/hepatitis C virus (HCV)-infected individuals with first-degree relatives (FDR) who have liver cancer is important to implement precise intervention. A cross-sectional study was conducted under the framework of a population-based Cancer Screening Program in Urban China (CanSPUC), aimed to develop and validate a simple noninvasive model that could assess and stratify cirrhosis risk, in HBV/HCV-infected individuals with FDRs who have liver cancer. People who participated in liver cancer screening in Henan province were enrolled. Using the data set consisting of participants admitted from October 1, 2013, to December 31, 2016, a 24-point scale risk score model was developed through logistic regression, based on educational background, dietary habit, smoking index, cooking oil fume exposure, history of severe trauma, HBV/HCV infection status, history of diabetes, history of hyperlipidemia, and parent history of liver cancer. The model showed excellent discrimination with area under the receiver operator characteristic curve (AUROC) of 0.875 [95% confidence interval (CI), 0.853-0.896] and fair calibration with a Hosmer-Lemeshow test P = 0.106. The prevalence rates in the medium- and high-risk groups were 2.87 (95% CI, 1.94-4.25) and 47.57 (95% CI, 31.59-71.63) times of low-risk group, respectively. After internal validation, bias-corrected AUROC was 0.874 (95% CI, 0.873-0.875). In the external validation data set consisting of participants admitted from January 1, 2017, to October 31, 2018, the model had achieved similar discrimination, calibration, and risk stratification ability. In conclusion, the risk score model we developed can be a practical tool for the screening and prevention of liver cirrhosis among HBV/HCV-infected individuals with FDRs who have liver cancer. PREVENTION RELEVANCE: We created a simple and noninvasive cirrhosis risk model for individuals infected by HBV/HCV who have FDRs with liver cancer. This model is useful not only for the prognosis of HBV/HCV infection, but also for the prevention of hepatocellular carcinoma.

Construction and Validation of a Lung Cancer Risk Prediction Model for Non-Smokers in China.

BACKGROUND: About 15% of lung cancers in men and 53% in women are not attributable to smoking worldwide. The aim was to develop and validate a simple and non-invasive model which could assess and stratify lung cancer risk in non-smokers in China. METHODS: A large-sample size, population-based study was conducted under the framework of the Cancer Screening Program in Urban China (CanSPUC). Data on the lung cancer screening in Henan province, China, from October 2013 to October 2019 were used and randomly divided into the training and validation sets. Related risk factors were identified through multivariable Cox regression analysis, followed by establishment of risk prediction nomogram. Discrimination [area under the curve (AUC)] and calibration were further performed to assess the validation of risk prediction nomogram in the training set, and then validated by the validation set. RESULTS: A total of 214,764 eligible subjects were included, with a mean age of 55.19 years. Subjects were randomly divided into the training (107,382) and validation (107,382) sets. Elder age, being male, a low education level, family history of lung cancer, history of tuberculosis, and without a history of hyperlipidemia were the independent risk factors for lung cancer. Using these six variables, we plotted 1-year, 3-year, and 5-year lung cancer risk prediction nomogram. The AUC was 0.753, 0.752, and 0.755 for the 1-, 3- and 5-year lung cancer risk in the training set, respectively. In the validation set, the model showed a moderate predictive discrimination, with the AUC was 0.668, 0.678, and 0.685 for the 1-, 3- and 5-year lung cancer risk. CONCLUSIONS: We developed and validated a simple and non-invasive lung cancer risk model in non-smokers. This model can be applied to identify and triage patients at high risk for developing lung cancers in non-smokers.

Pretreatment HIV drug resistance in adults initiating antiretroviral therapy in China, 2017.

BACKGROUND: After the scale-up of antiretroviral therapy (ART) for HIV infected people, increasing numbers of patients have pretreatment drug resistance (PDR). In this study, the prevalence of PDR was evaluated in adults initiating antiretroviral therapy in China. METHODS: Blood samples were obtained from 1943 patients who initiated antiretroviral therapy (ART) in 2017 from 13 provinces or cities in China. Pol sequences were used to analyze drug resistance and construct transmission networks. Logistic regression model was used to estimate the potential factors associated with PDR. RESULTS: In total, 1711 eligible patients (76.0% male; 87.8% aged ≥ 25 years) were included, of which 117 (6.8%) had PDR. The highest rates of PDR were 12.2% in Liangshan Prefecture of Sichuan and 9.3 and 8.9% in Dehong and Lincang Prefecture of Yunnan. A multivariate logistic regression analysis revealed that PDR was significantly higher among intravenous drug users (adjusted Odds Ratio (aOR) = 2.64, 95% CI: 1.57-4.44) and individuals from Liangshan, Dehong, and Lincang (aOR = 2.04, 95% CI: 1.26-3.30). In total, 754 sequences were used to generate 164 transmission networks. Five transmission networks had two or three sequences containing the same mutations, two networks contained subjects from Liangshan, and one network contained subjects from Dehong. CONCLUSIONS: Overall, the PDR prevalence was moderate, with a particularly high prevalence in areas with severe HIV epidemics. These results indicate the importance of continuous PDR monitoring in patients initiating antiretroviral therapy.

[Two mutations of the KRT6A gene in Chinese patients with pachyonychia congenita type I].

OBJECTIVE: To investigate the gene mutation in a Chinese pedigree and one sporadic case with pachyonychia congenita type I(PC-1), as well as to explore the relationship between the genotype and phenotype. METHODS: The whole coding region of the KRT16 and KRT6A genes were amplified by long-range polymerase chain reaction (PCR). Six patients with PC-1 were studied, five of them were from a pedigree and the other one was sporadic. One unaffected member in the pedigree and 100 unrelated healthy individuals were also studied in order to exclude polymorphism. PCR products were directly sequenced to detect the mutation. RESULTS: No mutations in the KRT16 gene were observed. All patients harbored a mutation in the KRT6A gene. All five patients in the pedigree had a mutation at codon 465 (TAC to CAC) which substitutes tyrosine (Y) by histidine (H). In the sporadic patient, codon 171 (AAC) was mutated to GAC, which changes the asparagines (N) to aspartic acid (D). No such mutations were found in the unaffected member of the pedigree and the 100 unrelated controls. The mutation of Y465H is located at the end of 2B and N171D at the beginning of 1A domain of KRT6A, both are hotspots for pathogenic keratin mutations. CONCLUSION: The mutations Y465H and N171D of the KRT16A gene were detected in the pedigree and the sporadic case respectively. The Y465H mutation was a novel mutation, and the N171D mutation was reported recently.