Antibody-drug conjugates (ADCs) represent a promising class of targeted cancer therapeutics that combine the specificity of monoclonal antibodies with the potency of cytotoxic payloads. Despite their therapeutic potential, the use of ADCs faces significant challenges, including off/on-target toxicity and resistance development. This review examines the current landscape of ADC development, focusing on the critical aspects of target selection and antibody engineering. We discuss strategies to increase ADC efficacy and safety, including multitarget approaches, pH-dependent antibodies, and masked peptide technologies. The importance of comprehensive antigen expression profiling in both tumor and normal tissues is emphasized, highlighting the role of advanced technologies, such as single-cell sequencing and artificial intelligence, in optimizing target selection. Furthermore, we explore combination therapies and innovations in linker‒payload chemistry, which may provide approaches for expanding the therapeutic window of ADCs. These advances pave the way for the development of more precise and effective cancer treatments, potentially extending ADC applications beyond oncology.
Humans ; Immunoconjugates/adverse effects* ; Neoplasms/immunology* ; Animals ; Antibodies, Monoclonal/therapeutic use* ; Antineoplastic Agents/therapeutic use*

Objective To study NF1 gene variations in 10 suspected cases of neurofibromatosis type I(NF1)and their parents,thereby providing a basis for genetic counselling,clinical diagnosis,and treatment of this disease.Methods A total of 10 patients diagnosed with,or suspected of having NF1 at Northwest Women's and Children's Hospital from March to December 2023 were selected as study subjects.Whole exome sequencing(WES)was performed to analyse NF1 gene mutations in the patients and their parents,with the findings validated by Sanger sequencing.Results Pathogenic mutations were identified in 6 of the 10 families,with the remaining 4 cases showing no pathogenic gene mutations.In Family 1,a de novo mutation,c.6505A>T,was detected in the NF1 gene.In Family 2,a de novo mutation,c.6705-3C>A,was identified in the NF1 gene.In Family 3,a de novo mutation,c.6853delT,was detected in the NF1 gene.In Family 4,a de novo mutation,c.2446C>T,was found in the NF1 gene.In Family 5,a paternal mutation,c.6067T>A,was identified in the NF1 gene.In Family 6,a paternal mutation,c.2991_2993dup,was detected in the NF1 gene.Conclusion The identification of new mutation sites enriches the mutation spectrum of the NF1 gene.This study provides important guidance for genetic counselling and prenatal diagnosis,offering crucial information for families with reproductive needs.

Objective:To construct and validate a prognostic prediction model for patients with ovarian metastases from colorectal cancer after radical resection.Methods:A retrospective case series analysis was conducted on the clinical and pathological data of 81 patients with colorectal cancer and ovarian metastases who underwent radical resection for ovarian metastases at the Department of Colorectal Surgery, Cancer Hospital, Chinese Academy of Medical Sciences, between January 2014 and December 2023. The patients were all female, with an age ( M(IQR)) of 49(13) years (range: 22 to 79 years). The primary tumor was located in the colon in 60 cases (74.1%) and in the rectum in 21 cases (25.9%). Univariate and multivariate Cox regression analyses were used to identify independent risk factors affecting prognosis. A risk scoring system was constructed, and patients were assigned to high-risk and low-risk groups based on their risk scores. The predictive performance of the scoring system was assessed, and 5-fold cross-validation was performed to evaluate the model′s stability on the internal dataset. Results:Among the 81 patients with ovarian metastases, a high proportion had T4 stage (58 cases, 71.6%), lymph node positivity (68 cases, 84.0%), and colon cancer (60 cases, 74.1%). Preoperative imaging suggested unilateral ovarian metastasis in 15 patients (23.4%), but pathological examination after bilateral oophorectomy confirmed bilateral ovarian metastases. Among the 17 patients who initially underwent unilateral oophorectomy, 11 developed contralateral ovarian metastases at varying times postoperatively. Univariate Cox proportional hazards regression analysis revealed that positive lymph node ratio ( HR=2.68,95% CI:1.41 to 5.09, P=0.003), N stage ( HR=2.07,95% CI:1.08 to 3.95, P=0.028),maximum diameter of metastatic tumors ( HR=2.27,95% CI:1.04 to 4.96, P=0.040),and peritoneal metastasis or ascites at the time of ovarian metastasis ( HR=2.04,95% CI:1.02 to 4.08, P=0.043) were significantly associated with overall survival in patients with ovarian metastasis from colorectal cancer. Multivariate regression analysis identified that positive lymph node ratio ( HR=3.34,95% CI:1.08 to 10.34, P=0.037) and maximum diameter of metastatic tumors ( HR=2.65,95% CI:1.19 to 5.88, P=0.017) were independent prognostic factors for overall survival following radical oophorectomy in patients with ovarian metastasis from colorectal cancer. Based on the regression coefficients from the multivariate analysis for variables (ovarian metastatic tumor diameter ≥6 cm, positive lymph node ratio ≥0.3,and presence of peritoneal metastasis or ascites), a risk scoring system was developed. Using the optimal cutoff value (154 points) for the risk score,patients were divided into high-risk (19 cases) and low-risk (62 cases) groups. Kaplan-Meier survival curves demonstrated that the high-risk group had significantly lower median overall survival (27 months) and median disease-free survival (22 months) compared to the low-risk group (median overall survival 90 months,median disease-free survival not reached; both P<0.01). Receiver operating characteristic curve analysis showed that the area under the curve(AUC) for predicting 1-,3-,and 5-year overall survival was 0.731(95% CI:0.563 to 0.899), 0.703(95% CI:0.573 to 0.833), and 0.776(95% CI: 0.657 to 0.894), respectively. The AUC for predicting 1-,3-, and 5-year disease-free survival was 0.724(95% CI:0.397 to 0.993),0.710(95% CI:0.514 to 0.906),and 0.688(95% CI:0.478 to 0.898),respectively,indicating good performance of the model.The decision curve analysis showed that the model has good clinical net benefit and the results of the 5-fold cross-validation showed that the model demonstrated stability in the internal dataset. Conclusions:When performing radical resection for ovarian metastasis from colorectal cancer,bilateral oophorectomy should be considered to minimize the risk of postoperative recurrence. Patients with ovarian metastasis from colorectal cancer,characterized by a metastatic tumor diameter ≥6 cm,a positive lymph node ratio ≥0.3,and the presence of peritoneal metastasis or ascites, tend to have a poorer prognosis. Based on these findings,a clinical prognostic scoring system for radical resection of ovarian metastasis from colorectal cancer has been developed to stratify patients into different risk groups and may assist in postoperative risk assessment and management.

AIM:Regulatory T cells(Tregs)are a specialized subset of CD4+T cells primarily involved in im-munosuppressive functions.AMP-activated protein kinase(AMPK)serves as a metabolic sensor that governs the differen-tiation,maturation,and immune functions of Tregs through metabolic reprogramming.However,the impact of AMPKα1(the catalytic subunit of AMPK)knockout specifically in Tregs on the host's immune microenvironment remains largely un-explored.METHODS:Histological changes in immune organs were assessed using HE staining.The types of immune cells and their relative population percentages in immune organs and blood were quantified through flow cytometry in both AMPKα1flox/flox(AMPKα1fl/fl)mice and Treg-specific AMPKα1 knockout mice(AMPKα1fl/flFoxp3cre mice).RESULTS:Compared to AMPKα1fl/fl mice,the percentage of eosinophils in the bone marrow of AMPKα1fl/flFoxp3cre mice was significant-ly reduced.Additionally,while the thymus of AMPKα1fl/flFoxp3cre mice exhibited normal structure,both its size and the ra-tio of thymus weight to body weight were significantly decreased.The knockout of AMPKα1 in Tregs led to a notable reduc-tion in the total percentage of immature double-negative(DN)cells.Consequently,the percentage of CD4+T cells derived from these DN cells also decreased,even though the percentages of DN1 and DN4 cells were higher in the thymus of AMPKα1fl/flFoxp3cre mice compared to AMPKα1fl/fl mice.Importantly,the proportion of Siglec-F+CD11b+eosinophils in the thymus was significantly lower in AMPKα1fl/flFoxp3cre mice.Knockout of AMPKα1 in Tregs resulted in a marked increase in the percentage of CD4+T cells in peripheral blood,alongside a decrease in the proportion of mature CD8+T cells.Similar-ly,the proportion of CD4+T cells in the spleen of AMPKα1fl/flFoxp3cre mice was elevated compared to AMPKα1fl/fl mice.In contrast,the proportion of neutrophils significantly decreased,while mononuclear cell proportions increased in the spleen of AMPKα1fl/flFoxp3cre mice.In lymph nodes,the medullary boundaries in AMPKα1fl/flFoxp3cre mice were blurred,and the lymphoid follicles were missing,a feature not observed in AMPKα1fl/fl mice.Furthermore,the knockout of AMPKα1 in Tregs reduced the CD3+T cell population,particularly the CD8+T cell population,in lymph nodes.Although the mature Treg cell population was significantly lower in AMPKα1fl/flFoxp3cre mice,the percentage of CD4+T cells was markedly in-creased.In contrast,there was no statistically significant difference in granulocyte populations between AMPKα1fl/flFoxp3cre and AMPKα1fl/fl mice.CONCLUSION:The populations of mature Tregs,CD8+T cells and eosinophils in various im-mune organs were significantly altered in mice with Treg-specific AMPKα1 knockout,suggesting a potential remodeling of the host immune microenvironment in response to inflammatory stimuli.

To analyze the epidemiological characteristics of COVID-19 in Fujian Province from the 49th week of 2022 to the 5th week of 2023,after further optimization of China's COVID-19 prevention and control measures on December 7,2022(the 49th week of 2022),this study used multi-dimensional surveillance data to dynamically assess population infection levels and their changing trends.The aim of the study was to provide a scientific basis for early warning of epidemic risk,medical resource allocation,and evalu-ation of socio-economic impact.A multi-source data surveillance system was constructed,encompassing surveillance of fever clinics at medical institutions(weekly collection of visits,positive nucleic acid and antigen test results,inpatients,and severe cases in sec-ondary or above hospitals),population nucleic acid test monitoring(weekly person-times and positivity rates of single-tube tests from the provincial system),sentinel hospital monitoring(weekly proportion of influenza-like illness visits at 18 sentinel hospitals and re-lated viral testing data),and monitoring of novel coronavirus variants(weekly systematic collection of genomic sequences of local and imported cases).Line charts were plotted weekly,and time series analysis,molecular epidemiological methods,and an improved SEIAR model were used to simulate epidemic spread.During the study period,the COVID-19 epidemic in Fujian Province exhibited three distinct stages.In the infection peak stage(52nd week of 2022),the provincial fever clinic visits reached 606 893 person-times,and a 49.2%positivity rate in population single-tube nucleic acid tests and 63.8%positivity rate in sentinel hospital monitoring were observed.In the medical load peak stage(2nd week of 2023),274 460 inpatients and 28 487 severe cases were recorded.In the epidemic decline stage(4th to 5th weeks of 2023),fever clinic visits decreased by 96.3%with respect to the peak,the single-tube nucleic acid test positivity rate decreased to 6.3%,and the sentinel hospital COVID-19 nucleic acid test positivity rate was 6.4%.All 508 sequenced local cases were Omicron variants,predominantly BA.5.2 and its sub-lineages(67.4%).Among 56 imported se-quenced cases,BA.5.2 and its sub-lineages accounted for 50.0%,and 16.1%comprised nine variants of interest including XBB and BQ.The model predicted the infection peak in the 52nd week of 2022,whereas the hospitalization peak lagged by approximately 10.6 days.Multi-source data monitoring revealed a three-stage development of the COVID-19 epidemic in Fujian.The BA.5.2 strain was dominant during the epidemic.The combination of multi-source monitoring data and modeling provides important references for epi-demic prevention and control,and highlights the need to improve the monitoring system in follow-up.

Objective:To analyze the clinicopathological factors affecting the prognosis of patients after curative resection of lung metastases (LMs) from colorectal cancer (CRC) and to construct a clinical risk scoring (CRS) model.Methods:This study retrospectively collected clinicopathological data and follow-up information on 132 patients who underwent radical resection of LMs from CRC at the Cancer Hospital of the Chinese Academy of Medical Sciences between January 2010 and December 2020. We analyzed the clinicopathological factors influencing patient prognosis using univariate and multivariate Cox proportional hazards regression models, and we developed a risk stratification model for prognostic prediction.Results:The median follow-up duration for the cohort of 132 patients was 54.2 months. During this period, 61 patients (46.2%) experienced recurrence or distant metastasis, resulting in a 5-year DFS rate of 54.1%. Additionally, 33 patients (25.0%) died, corresponding to a 5-year overall survival (OS) rate of 76.7%. Univariate Cox proportional hazards regression model analysis indicated that ten clinicopathological factors were significantly associated with OS (all P＜0.05). These factors include the total number of lymph nodes (LNs) dissected from the primary tumor (PT) <16, the number of negative LNs from the PT <13, pN(+) of the PT, logarithmic odds of positive lymph nodes (LODDS) of the PT ≥-1.1, lymph nodes ratio (LNR) of the PT ≥0.02, preoperative carcinoembryonic antigen (CEA) level before LMs resection ≥10 ng/ml, the presence of hilar/mediastinal LN metastasis, the number of LMs ≥2, the maximum diameter of LMs ≥2.5 cm, and the necessity for hilar/mediastinal lymphadenectomy. Multivariate Cox proportional hazards regression analysis identified the number of negative LNs <13 ( HR=3.01, 95% CI: 1.28-7.03, P=0.011), pN(+) of the PT ( HR=5.04, 95% CI: 1.51-16.84, P=0.009), preoperative CEA level before LMs resection ≥10 ng/ml ( HR=5.39, 95% CI: 1.80-16.19, P=0.003), the number of LMs ≥2 ( HR=2.47, 95% CI: 1.09-5.60, P=0.030), and the necessity for hilar/mediastinal lymphadenectomy ( HR=2.74, 95% CI: 1.15-6.52, P=0.023) as independent prognostic risk factors. Patients were categorized based on independent risk factors, revealing statistically significant differences in OS across the groups with CRS scores of ≤2, 3～4, and ≥5 ( P＜0.001). Conclusions:Independent risk factors associated with LMs from CRC patients include the number of negative LNs <13, pN(+) of the PT, preoperative CEA level before LMs resection ≥10 ng/ml, the number of LMs ≥2, and the necessity for hilar/mediastinal lymphadenectomy. Patients scoring 3 or higher on the CRS model may warrant cautious assessment for the appropriateness of direct surgical treatment.

The “Technical Guideline for Epidemic Prevention and Control Disinfection in Large-Scale Events”(hereinafter referred to as “the Guideline”), organized and compiled by the National Disease Control and Prevention Administration, was officially released in April 2024. This guideline aims to ensure the effective implementation of large-scale group activities, mitigate the impact of infectious disease outbreaks on such events, and maintain hygiene and safety standards at event venues. During the compilation process, data were systematically collected in alignment with epidemic prevention requirements and disinfection principles, incorporating research findings from domestic and international disinfection practices. Information was gathered through field investigations, expert consultations in epidemiology and disinfection, and roundtable discussions with representatives from organizations responsible for disinfection operations at large-scale events, thereby ensuring the scientific rigor and practical applicability of the content. The Guideline provides comprehensive technical disinfection guidance for relevant authorities and event organizers, addressing critical aspects such as disinfection protocols, operational principles, emergency response strategies, and technical specifications. By standardizing hygiene assurance measures for large-scale events, including considerations of participant demographics, venue characteristics, and event scale, the guideline establishes a framework to proactively minimize the risk of infectious disease transmission.

Objective: To investigation and analyze the causes and characteristics of a food poisoning incident caused by Clostridium perfringens in schools, so as to provide a reference for prevention and control of food poisoning incidents. Methods: From March 11 to 12,2024,on site epidemiological and hygienic investigations were conducted by using food poisoning case questionnaires and on site hygienic investigation forms in Shenzhen. Information related to the poisoning incident was collected through field investigations and telephone interviews. A case control study was used to analyze the suspected food responsible for the incident. Risk analysis in χ 2 analysis was used to obtain OR values. Results: The Clostridium perfringens food poisoning incident involved two schools, with a cumulative total of 52 cases. School A had an attack rate of 2.21%(45/2 040), school B had an attack rate of 1.29% (7/544). The main clinical symptoms were diarrhea (100.00%) and abdominal pain (84.62%), with a minority experiencing fever ( 3.85 %). Analysis via the case control study indicated that consuming mushroom and meat sauce during lunch on March 11, 2024, was a risk factor for the poisoning incident ( OR =124.50, 95% CI =14.53-937.51, P <0.05). On site investigation revealed that the mushroom and meat sauce provided by the schools on March 11 was prepared by the catering company the previous day, stored without refrigeration, and not reheated before serving the next day. A total of 31 patient anal swabs, 16 food samples, and 14 kitchen staff anal swabs were sent for laboratory testing. Clostridium perfringens was isolated from 22 case samples. Among these, type A Clostridium perfringens (alpha toxin) was detected in 8 case samples, 4 kitchen staff anal swabs, and 2 retained samples of the mushroom and meat sauce. Conclusions The incident is a food poisoning outbreak caused by Clostridium perfringens contamination in schools. Avoiding cross contamination and ensuring proper storage are key to preventing Clostridium perfringens food poisoning.

Objective:To analyze the clinicopathological factors affecting the prognosis of patients after curative resection of lung metastases (LMs) from colorectal cancer (CRC) and to construct a clinical risk scoring (CRS) model.Methods:This study retrospectively collected clinicopathological data and follow-up information on 132 patients who underwent radical resection of LMs from CRC at the Cancer Hospital of the Chinese Academy of Medical Sciences between January 2010 and December 2020. We analyzed the clinicopathological factors influencing patient prognosis using univariate and multivariate Cox proportional hazards regression models, and we developed a risk stratification model for prognostic prediction.Results:The median follow-up duration for the cohort of 132 patients was 54.2 months. During this period, 61 patients (46.2%) experienced recurrence or distant metastasis, resulting in a 5-year DFS rate of 54.1%. Additionally, 33 patients (25.0%) died, corresponding to a 5-year overall survival (OS) rate of 76.7%. Univariate Cox proportional hazards regression model analysis indicated that ten clinicopathological factors were significantly associated with OS (all P＜0.05). These factors include the total number of lymph nodes (LNs) dissected from the primary tumor (PT) <16, the number of negative LNs from the PT <13, pN(+) of the PT, logarithmic odds of positive lymph nodes (LODDS) of the PT ≥-1.1, lymph nodes ratio (LNR) of the PT ≥0.02, preoperative carcinoembryonic antigen (CEA) level before LMs resection ≥10 ng/ml, the presence of hilar/mediastinal LN metastasis, the number of LMs ≥2, the maximum diameter of LMs ≥2.5 cm, and the necessity for hilar/mediastinal lymphadenectomy. Multivariate Cox proportional hazards regression analysis identified the number of negative LNs <13 ( HR=3.01, 95% CI: 1.28-7.03, P=0.011), pN(+) of the PT ( HR=5.04, 95% CI: 1.51-16.84, P=0.009), preoperative CEA level before LMs resection ≥10 ng/ml ( HR=5.39, 95% CI: 1.80-16.19, P=0.003), the number of LMs ≥2 ( HR=2.47, 95% CI: 1.09-5.60, P=0.030), and the necessity for hilar/mediastinal lymphadenectomy ( HR=2.74, 95% CI: 1.15-6.52, P=0.023) as independent prognostic risk factors. Patients were categorized based on independent risk factors, revealing statistically significant differences in OS across the groups with CRS scores of ≤2, 3～4, and ≥5 ( P＜0.001). Conclusions:Independent risk factors associated with LMs from CRC patients include the number of negative LNs <13, pN(+) of the PT, preoperative CEA level before LMs resection ≥10 ng/ml, the number of LMs ≥2, and the necessity for hilar/mediastinal lymphadenectomy. Patients scoring 3 or higher on the CRS model may warrant cautious assessment for the appropriateness of direct surgical treatment.