Triple-negative breast cancer (TNBC) represents a distinctive subtype, characterized by the absence of estrogen receptors, progesterone receptors, and human epidermal growth factor receptor 2 (HER2). Due to its high inter-tumor and intra-tumor heterogeneity, TNBC poses significant chanllenges for personalized diagnosis and treatment. The advant of clustered regular interspaced short palindromic repeats (CRISPR) technology has profoundly enhanced our understanding of the structure and function of the TNBC genome, providing a powerful tool for investigating the occurrence and development of diseases. This review focuses on the application of CRISPR/Cas technology in the personalized diagnosis and treatment of TNBC. We begin by discussing the unique attributes of TNBC and the limitations of current diagnostic and treatment approaches: conventional diagnostic methods provide limited insights into TNBC, while traditional chemotherapy drugs are often associated with low efficacy and severe side effects. The CRISPR/Cas system, which activates Cas enzymes through complementary guide RNAs (gRNAs) to selectively degrade specific nucleic acids, has emerged as a robust tool for TNBC research. This technology enables precise gene editing, allowing for a deeper understanding of TNBC heterogeneity by marking and tracking diverse cell clones. Additionally, CRISPR facilitates high-throughput screening to promptly identify genes involved in TNBC growth, metastasis, and drug resistance, thus revealing new therapeutic targets and strategies. In TNBC diagnostics, CRISPR/Cas was applied to develop molecular diagnostic systems based on Cas9, Cas12, and Cas13, each employing distinct detection principles. These systems can sensitively and specifically detect a variety of TNBC biomarkers, including cell-specific DNA/RNA and circulating tumor DNA (ctDNA). In the realm of precision therapy, CRISPR/Cas has been utilized to identify key genes implicated in TNBC progression and treatment resistance. CRISPR-based screening has uncovered potential therapeutic targets, while its gene-editing capabilities have facilitated the development of combination therapies with traditional chemotherapy drugs, enhancing their efficacy. Despite its promise, the clinical translation of CRISPR/Cas technology remains in its early stages. Several clinical trials are underway to assess its safety and efficacy in the treatment of various genetic diseases and cancers. Challenges such as off-target effects, editing efficiency, and delivery methods remain to be addressed. The integration of CRISPR/Cas with other technologies, such as 3D cell culture systems, human induced pluripotent stem cells (hiPSCs), and artificial intelligence (AI), is expected to further advance precision medicine for TNBC. These technological convergences can offer deeper insights into disease mechanisms and facilitate the development of personalized treatment strategies. In conclusion, the CRISPR/Cas system holds immense potential in the precise diagnosis and treatment of TNBC. As the technology progresses and becomes more costs-effective, its clinical relevance will grow, and the translation of CRISPR/Cas system data into clinical applications will pave the way for optimal diagnosis and treatment strategies for TNBC patients. However, technical hurdles and ethical considerations require ongoing research and regulation to ensure safety and efficacy.

Objective To understand the epidemiological characteristics of liver cancer in Chinese children from 2006-2017, and to explore the correlation between hepatitis B and liver cancer in Children. Methods　The data of childhood liver cancer from 2006 to 2017 were collected from the Chinese Cancer Registry Annual Report. Joinpoint regression program was used to analyze the trends of standardized incidence. Analysis was conducted to determine the distributions of incidence by region, sex and age group. The data of hepatitis B were collected from China Public Health Science Data Center. Pearson correlation was used to explore the incidence correlation between hepatitis B and liver cancer. Results　From 2006 to 2017, the standardized incidence rate of childhood liver cancer in China showed a downward trend before 2010, and then remained relatively stable (AAPC=-5.09%，95%CI:-13.22%~3.80%，P=0.253). The standardized incidence rate of liver cancer showed a decreased trend in urban children (AAPC=-3.52%，95%CI:-6.82%~-0.10%，P=0.045), while the standardized incidence rate was on an upward trend in rural children (AAPC=4.95%，95%CI:1.40%~8.63%，P=0.011). The incidence rates of liver cancer were higher in urban children than in rural children (ｚ=-4.071， P<0.001), in boys than in girls (ｚ=-2.425， P=0.015), and in children of the 0~4 age group than in children of the 5~9 and 10~14 age groups (H=22.285, P<0.001). The incidence rates of both hepatitis B and liver cancer showed a downward trend from 2006 to 2017， and there was a significant correlation（r=0.775，95%CI:0.319~0.927，P=0.005). Conclusion From 2006 to 2017, the incidence of liver cancer in Chinese children showed a decreased trend with significant differences between urban-rural areas, both sexes and age groups. Boys in urban areas and children in the 0~4 years age group should be the key targets for prevention and control in the future.

Ablation of ventricular arrhythmia originating from the epicardial and intramural sites tends to be challenging in clinical practice.As the reflux system of cardiac blood flow,tributaries of the coronary venous system widely covers the surface and the myocardium tissue of the heart,which could serve as alternative access route for auxiliary mapping and ablation.This review updated the research progress on the novel ablation methods via the coronary venous system.

Objective To explore the potential categories and influencing factors of the fear of progression in patients with inflammatory bowel diseases(IBD).Methods IBD patients who received inpatient treatment in a tertiary hospital in Nanjing from July 2022 to July 2023 were selected as the study subjects by convenience sampling method.The General Demographic Information Questionnaire,the Chinese version of the Fear of Progression Questionnaire-Short Form(FoP-Q-SF),the Chinese version of Inflammatory Bowel Disease Self-efficacy Scale(IBD-SES),and Social Support Rating Scale(SSRS)were administered to the participants.We applied one-way ANOVA and Logistic regression analysis to identify the factors associated with the potential categories of the fear of progression.Results A total of 303 retumed questionnaires(out of the 310)were valid,resulting an effective response rate of 97.74％.According to the results of latent profile analysis,we classified the respondents into 3 categories by the fear of progression,namely"low risk fear of disease adaptation group"(n=127,41.91％),"medium risk fear of illness distress group"(n=139,45.88％),"high risk fear of dysfunction group"(n=37,12.21％).3 groups showed statistically significant differences in permanent address,self-rated financial pressure,current disease status and self-efficacy(P＜0.05).Conclusion Patients with IBD had obvious differences in characteristics on the fear of progression.Nursing personnel should formulate personalized intervention strategies based on the classification characteristics of the fear of progression of IBD patients.Moreover,nurses should focus on improving patients'self-efficacy and promoting patients to treat medical care,stress and emotion management correctly.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective:To analyze the real clinical effects and prognosis of neoadjuvant therapy for locally advanced resectable esophageal cancer.Methods:Two hundred and one patients with locally advanced resectable esophageal cancer who underwent different neoadjuvant treatments at Nanchong Central Hospital of Sichuan Province from January 2019 to December 2021 were retrospective analyzed. Patients were divided into neoadjuvant chemoradiotherapy group ( n=87), neoadjuvant immunochemotherapy group ( n=69), and neoadjuvant chemotherapy group ( n=45) according to the different methods of neoadjuvant therapy. Patients underwent surgical treatment 4-6 weeks after completing neoadjuvant therapy. The postoperative pathological response of three groups of patients were compared. Kaplan-Meier method was used to draw survival curves. Log-rank tests were performed to analyze overall survival (OS) rate, local recurrence-free survival (LRFS) rate, and distant metastasis-free survival (DMFS) rate in three groups of patients. Results:The pathological complete response rates of the neoadjuvant chemoradiotherapy group, neoadjuvant immunochemotherapy group and neoadjuvant chemotherapy group were 33.3% (29/87), 40.6% (28/69) and 13.3% (6/45), respectively, with a statistically significant difference ( χ2=9.68, P=0.008). The pathological complete response rates in the neoadjuvant chemoradiotherapy group and neoadjuvant immunochemotherapy group were higher than that in the neoadjuvant chemotherapy group, with statistically significant differences ( χ2=6.09, P=0.014; χ2=9.66, P=0.002) ; there was no statistically significant difference between the neoadjuvant chemoradiotherapy group and the neoadjuvant immunochemotherapy group ( χ2=0.87, P=0.351). The major pathologic response rates of the three groups were 58.6% (51/87), 59.4% (41/69) and 31.1% (14/45), respectively, with a statistically significant difference ( χ2=10.89, P=0.004). The major pathologic response rates of the neoadjuvant chemoradiotherapy group and neoadjuvant immunochemotherapy group were significantly higher than that of the neoadjuvant chemotherapy group, with statistically significant differences ( χ2=8.98, P=0.003; χ2=8.74, P=0.003) ; there was no statistically significant difference between the neoadjuvant chemoradiotherapy group and the neoadjuvant immunochemotherapy group ( χ2=0.10, P=0.920). The 3-year OS rates of the three groups were 43.7%, 42.0% and 33.3%, respectively, with no statistically significant difference ( χ2=0.79, P=0.347). The 3-year LRFS rates of the three groups were 67.8%, 66.7% and 46.7%, respectively, with a statistically significant difference ( χ2=7.58, P=0.023), the LRFS rates in the neoadjuvant chemoradiotherapy group and neoadjuvant immunochemotherapy group were significantly higher than that in the neoadjuvant chemotherapy group, with statistically significant differences ( χ2=4.17, P=0.041; χ2=4.15, P=0.042) ; there was no statistically significant difference in LRFS rates between the neoadjuvant chemoradiotherapy group and the neoadjuvant immunochemotherapy group ( χ2=0.01, P=0.923). The 3-year DMFS rates of the three groups were 37.9%, 37.7% and 28.9%, respectively, with no statistically significant difference ( χ2=0.14, P=0.707) . Conclusion:Different neoadjuvant therapies have different therapeutic effects in the treatment of locally advanced resectable esophageal cancer, neoadjuvant chemoradiotherapy and neoadjuvant immunochemotherapy can achieve a better pathological response rates and LRFS rates.

Objective:To investigate the risk factors and prognostic value of the textbook outcome (TO) in patients with advanced gastric cancer (AGC) who underwent neoadjuvant chemotherapy followed by surgical resection.Methods:This is a retrospective cohort study. A total of 253 patients with AGC who underwent neoadjuvant chemotherapy combined with gastrectomy and D2 lymphadenectomy in the Department of Gastric Surgery, Fujian Medical University Union Hospital from January 2010 to December 2019 were retrospectively included. There were 195 males and 58 females, aged (60.3±10.0) years (range: 27 to 75 years). The patients were then divided into the TO group ( n=168) and the non-TO group ( n=85). Multivariate Logistic regression was used to analyze the independent predictors of TO. Univariate and multivariate Cox analysis were used to analyze independent prognosis factors for overall survival (OS) and disease-free survival (DFS). Propensity score matching was performed to balance the TO and non-TO groups, and the Kaplan-Meier method was used to calculate survival rates and draw survival curves. Results:Among the 253 patients, 168 patients (66.4%) achieved TO. The Eastern Cooperative Oncology Group score ( OR=0.488, 95% CI: 0.278 to 0.856, P=0.012) and ypN stage ( OR=0.626, 95% CI:0.488 to 0.805, P<0.01) were independently predictive of TO. Multivariate analysis revealed that TO was an independent risk factor for both OS ( HR=0.662, 95% CI: 0.457 to 0.959, P=0.029) and DFS ( HR=0.687, 95% CI: 0.483 to 0.976, P=0.036). After matching, the 5-year OS rate (42.2% vs. 27.8%) and the 5-year DFS rate (37.5% vs. 27.8%) were significantly higher in the TO group than in the non-TO group (both P<0.05). Furthermore, patients in the non-TO group benefited significantly from postoperative chemotherapy (both P<0.05), but those in the TO group did not (both P>0.05). Conclusion:TO is an independent prognosis factor in patients undergoing neoadjuvant chemotherapy and surgery for AGC and is associated with postoperative chemotherapy benefits.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective:To investigate the risk factors and prognostic value of the textbook outcome (TO) in patients with advanced gastric cancer (AGC) who underwent neoadjuvant chemotherapy followed by surgical resection.Methods:This is a retrospective cohort study. A total of 253 patients with AGC who underwent neoadjuvant chemotherapy combined with gastrectomy and D2 lymphadenectomy in the Department of Gastric Surgery, Fujian Medical University Union Hospital from January 2010 to December 2019 were retrospectively included. There were 195 males and 58 females, aged (60.3±10.0) years (range: 27 to 75 years). The patients were then divided into the TO group ( n=168) and the non-TO group ( n=85). Multivariate Logistic regression was used to analyze the independent predictors of TO. Univariate and multivariate Cox analysis were used to analyze independent prognosis factors for overall survival (OS) and disease-free survival (DFS). Propensity score matching was performed to balance the TO and non-TO groups, and the Kaplan-Meier method was used to calculate survival rates and draw survival curves. Results:Among the 253 patients, 168 patients (66.4%) achieved TO. The Eastern Cooperative Oncology Group score ( OR=0.488, 95% CI: 0.278 to 0.856, P=0.012) and ypN stage ( OR=0.626, 95% CI:0.488 to 0.805, P<0.01) were independently predictive of TO. Multivariate analysis revealed that TO was an independent risk factor for both OS ( HR=0.662, 95% CI: 0.457 to 0.959, P=0.029) and DFS ( HR=0.687, 95% CI: 0.483 to 0.976, P=0.036). After matching, the 5-year OS rate (42.2% vs. 27.8%) and the 5-year DFS rate (37.5% vs. 27.8%) were significantly higher in the TO group than in the non-TO group (both P<0.05). Furthermore, patients in the non-TO group benefited significantly from postoperative chemotherapy (both P<0.05), but those in the TO group did not (both P>0.05). Conclusion:TO is an independent prognosis factor in patients undergoing neoadjuvant chemotherapy and surgery for AGC and is associated with postoperative chemotherapy benefits.

Objective To provide references for reasonable equipping of airborne medical equipment oriented to different tasks by constructing a medical equipment requirement model for the helicopter evacuation and rescue team.Methods Relevant basic data were collected and organized on time for routine and emergency medical treatment and elementary medical equipment requirements for types of medical treatment.AnyLogic multi-agent modeling was used to established a medical equipment requirement model for the helicopter evacuation and rescue team,with the casualty,equipment and medical personnel as the agent modules and the logical relationship-based access rules between the agents.An example was taken with a Z-8 helicopter transformed into an ambulance platform to transport the rescue team and casualties,in which a variety of evacuation tasks with multi combinations of light and serious casualties were simulated and the model developed was used to record and analyze the data on waiting time for medical treatment,completion rate,personnel utilization rate and equipment requirement during 100 times of simulation flight.Results The model developed could provide generalized medical equipment allocation programs for the helicopter evacuation and rescue team to complete a variety of evacuation tasks in terms of electronic device,treatment equipment,auxiliary instrument and medical consumables.Conclusion The model developed facilitates rational allocation of medical equipment for the helicopter evacuation and rescue team.[Chinese Medical Equipment Journal,2024,45(5):28-33]