Colorectal cancer (CRC) is the third most commonly diagnosed malignancy and the second leading cause of cancer-related mortality worldwide. Despite therapeutic advancements over recent decades, the prognosis for patients with metastatic CRC (mCRC) remains poor. Approximately 2%-4% of mCRC cases exhibit human epidermal growth factor receptor 2 (HER2) amplification or overexpression, defining a distinct molecular subtype. This HER2-positive status is strongly associated with primary resistance to anti-epidermal growth factor receptor (EGFR) therapies, which are the standard of care for patients with RAS wild-type tumors. Beyond its well-established role in breast and gastric cancers, HER2 has emerged as a pivotal biomarker and actionable therapeutic target in mCRC. However, selecting appropriate treatment strategies remains challenging due to patient heterogeneity and diverse molecular subtypes. This review systematically summarizes the molecular biology, diagnostic strategies, and advances in targeted therapies for HER2-positive mCRC. On the diagnostic front, we discuss the applications of immunohistochemistry (IHC), fluorescence in situ hybridization (FISH), next-generation sequencing (NGS), and circulating tumor DNA (ctDNA) detection technologies. We highlight discrepancies in diagnostic criteria across key clinical trials—such as HERACLES, DESTINY, and MOUNTAINEER—underscoring the urgent need for standardized, CRC-specific definitions to ensure consistent patient selection and comparability of efficacy data across studies. Although NGS enables comprehensive genomic profiling, its cost-effectiveness relative to traditional methods must be carefully considered. Therapeutically, we summarize clinical trial data for HER2-directed agents, including tyrosine kinase inhibitors (TKIs) such as tucatinib and lapatinib, monoclonal antibodies like trastuzumab, bispecific antibodies, and antibody-drug conjugates (ADCs) such as trastuzumab deruxtecan. We review dual-targeting strategies and note recent FDA approvals that represent significant milestones in second-line treatment. Additionally, we explore the potential of combining immune checkpoint inhibitors with HER2-targeted therapies to enhance antitumor immunity through mechanisms including antibody-dependent cellular cytotoxicity (ADCC) and modulation of the tumor microenvironment. ADCs enable precise delivery of cytotoxic payloads, reducing off-target toxicity while effectively inhibiting oncogenic pathways. A substantial portion of this review is dedicated to dissecting the molecular mechanisms underlying primary and acquired resistance to HER2-targeted therapies—persistent challenges that limit clinical benefit. These mechanisms include reactivation of downstream signaling pathways such as PI3K/AKT/mTOR and MAPK, concurrent mutations in genes like KRAS or BRAF, and alterations in HER2 expression that compromise treatment efficacy. For instance, specific HER2 mutations (e.g., L755S) can reduce drug binding affinity, while ctDNA monitoring facilitates early detection of emerging resistance clones during disease progression, thereby enabling timely therapeutic adjustments. Tumor heterogeneity and dynamic interactions with the microenvironment further complicate resistance patterns observed in clinical practice. HER2-targeted therapy represents a new frontier in precision oncology for mCRC, offering renewed hope for improving patient outcomes. Realizing this potential will require continued optimization of diagnostic algorithms and treatment workflows. Future efforts must focus on overcoming resistance, validating liquid biopsy approaches for dynamic monitoring, and establishing unified clinical guidelines. HER2 has become an essential biomarker for stratifying mCRC patients beyond traditional RAS and BRAF status, underscoring the shift from empiric treatment to biomarker-driven precision medicine. International, multidisciplinary collaboration will be critical to validate emerging biomarkers and refine treatment algorithms globally.

OBJECTIVE To evaluate the clinical efficacy and safety of Jianwei xiaoshi oral liquid in the treatment of functional dyspepsia （FD） in children， and provide evidence-based basis for clinical use of the drug. METHODS Retrieved from CNKI， VIP， Wanfang， CBM， Cochrane Library and PubMed， randomized controlled trials （RCTs） about Jianwei xiaoshi oral liquid in the treatment of FD in children were collected from the inception to Apr. 2024. The control group was treated with conventional western drugs （including gastrointestinal motion-promoting， antacids or acid-suppressing drugs）， and the trial group was treated with Jianwei xiaoshi oral liquid alone or combined with conventional Western drugs （drug dosage and course of treatment were the same as the control group）. Meta-analysis was performed using RevMan 5.3 software after quality evaluation with the Cochrane risk bias assessment tool 6.1. RESULTS Totally 16 literature were employed which included 1 962 patients. The results of meta-analysis showed that the total clinical effective rate of Jianwei xiaoxi oral liquid in the treatment of FD in children of trial group was significantly higher than that of the control group [RR＝1.18， 95%CI （1.13， 1.22）， P＜0.000 01]. In this study， subgroup analysis was conducted on the usage and dosage， course of treatment， and combination or not in trial group， as well as the type of conventional Western drugs. The results showed that the total clinical effective rate of trial group was significantly higher than that of control group； the relief time of abdominal distension and abdominal pain in trial group [MD＝－2.54， 95%CI （－3.10， －1.98）]， loss of appetite relief time [MD＝－2.12， 95%CI （－2.63， －1.61）]， nausea and vomiting relief time [MD＝－1.70， 95%CI （－2.27， －1.14）]， and belching relief time [MD＝－1.61， 95%CI （－2.44， －0.78）] were shorter than that of the control group significantly （P＜0.05）. In addition， compared with control group， the levels of gastrin [SMD＝1.63， 95%CI （0.98， 2.29）] and motilin [SMD＝2.06， 95%CI （1.58， 2.54）] as well as gastric antral emptying rate [MD＝5.99， 95%CI （2.78， 9.21）] in trial group were increased significantly， while the level of somatostatin was decreased significantly [SMD＝－1.30， 95%CI （－1.57， －1.02）] （P≤0.000 3）. CONCLUSIONS Jianwei xiaoshi oral liquid， whether used alone or in combination with other medications， and regardless of the treatment course or dosage and usage， is effective in treating FD in children， with good safety.

To investigate the correlation between vitamin D nutritional status and insulin resistance in pubertal adolescents.

To investigate body composition and associated factors in adolescents undergoing long-term regular sports training.

Objective:To compare the differences of long-term survival rates between hemodialysis (HD) and peritoneal dialysis (PD) in the oldest old end-stage renal disease (ESRD) patients, and analyze the influencing factors of mortality.Methods:It was a retrospective cohort study. The clinical data from the oldest old patients (≥80 years old) who underwent HD or PD for the first time and maintained dialysis treatment for ≥3 months in the Zhejiang Dialysis Registration System from January 1, 2008 to December 31, 2021 were collected. The follow-up endpoint was until the patients' death or December 31, 2022. The propensity score matching method was used to match groups. Kaplan-Meier method and log-rank test were used to compare the differences of long-term survival rates between the two groups. Cox regression analysis was used to analyze the risk factors of mortality.Results:A total of 5 880 the oldest old dialysis patients were included in this study, with 5 363 patients in the initial HD group and 517 patients in the initial PD group. After matching, there were 517 patients in the HD group and 517 patients in the PD group. The median survival time of HD group before matching was 39.9 months, with 1-year, 3-year, and 5-year survival rates of 85.4%, 54.9%, and 30.0%, respectively. The median survival time of PD group was 32.9 months, with 1-year, 3-year, and 5-year survival rates of 82.5%, 47.1%, and 22.3%, respectively. After matching, the median survival time of HD group was 40.3 months, and the 1-year, 3-year, and 5-year survival rates were 86.1%, 57.8%, and 29.1%, respectively. The survival rate of PD group remained unchanged. The difference of 1-year survival rate between the two groups was not statistically significant, but the 2-year, 3-year, 4-year, 5-year, and overall survival rates in HD group were higher than those in PD group (Log‐rank test, χ2=4.897, P=0.027; χ2=9.693, P=0.002; χ2=10.194, P=0.001; χ2=7.868, P=0.005; χ2=12.510, P<0.001). Multivariate Cox regression analysis showed that HD (HD/PD, HR=0.794, 95% CI 0.669-0.943, P=0.009), increasing age ( HR=1.069, 95% CI 1.038-1.110, P<0.001), comorbidity with chronic obstructive pulmonary disease ( HR=1.510, 95% CI 1.065-2.139, P=0.021) and serum albumin <35 g/L ( HR=1.393, 95% CI 1.165-1.665, P<0.001) were independent correlated factors of mortality. Conclusions:There is no significant difference in the 1-year survival rate between HD and PD groups. The survival rate for more than 1 year in HD patients is higher than that in PD patients. HD is an independent protective factor of survival, and increasing age, comorbidities of chronic obstructive pulmonary disease, and serum albumin <35 g/L are independent risk factors affecting the survival in the oldest old dialysis patients.

Objective:To predict the occurrence of chronic radiation enteritis (CRE) in cervical cancer patients by developing a prediction model based on the combination of radiomic features derived from magnetic resonance imaging (MRI) scans and clinical parameters, in order to provide a reference for clinicians to determine the prognosis of these patients and offer them individualized diagnosis and treatment.Methods:A retrospective analysis was conducted on 111 cervical cancer patients who received radical radiotherapy at the First Affiliated Hospital of Anhui Medical University. Radiological features were extracted from the T1-weighted MRI images of local lesions of cervical cancer obtained before the radiotherapy. Features were selected using the least absolute shrinkage and selection operator (LASSO) to obtain the radiomics score. The radiomics scores and clinical parameters were assessed using univariate and multivariate logistic regression analyses, followed by the establishment of nomograms. The ability of radiomics to achieve CRE prediction was assessed using the area under the curve (AUC) and the calibration and decision curves.Results:Multivariate logistic regression analysis result revealed that the independent risk factors for identifying CRE in patients included radiomics score ( HR: 17.457, 95% CI: 5.540-55.009, P<0.001), tumor volume ( HR: 3.617, 95% CI: 1.293-10.115, P=0.014), and pelvic lymph node metastasis ( HR: 3.559, 95% CI: 1.013-12.501, P=0.048). The model combining radiomics and clinical data demonstrated high performance, with its AUCs of the training and validation groups (0.888 and 0.870, respectively) higher than those of the radiomics model (0.842 and 0.804, respectively) and the clinical data model (0.721 and 0.704, respectively). The analyses of calibration and decision curves confirmed the application value of clinical radiomic nomograms. Conclusions:The model combining radiomics and clinical data allows for accurate CRE prediction. Therefore, radiomic features have the potential to serve as a promising imaging biomarker for CRE.

Objective:To investigate the effect of pre-dialysis blood pressure (Pre-BP) on all-cause and cardiovascular disease (CVD) mortality in patients on maintenance hemodialysis (MHD).Methods:This single-center, retrospective cohort study enrolled patients undergoing first-time hemodialysis between January 1, 2007, and June 30, 2021, from the dialysis registry of the First Affiliated Hospital, Zhejiang University School of Medicine. General information and laboratory parameters were collected. Pre-dialysis systolic blood pressure (Pre-SBP) and pre-dialysis diastolic blood pressure (Pre-DBP) were calculated and averaged at 4-6 months after dialysis. The mean Pre-SBP and Pre-DBP values were used as continuous variables, and restricted cubic spline (RCS) curves were used to assess the relationship between Pre-BP and mortality risk. Patients were subsequently divided into six groups for Pre-DBP and six groups for Pre-SBP combined with Pre-DBP. Survival analyses were performed using the Kaplan-Meier method. All-cause and CVD mortality were compared between groups using the log-rank test. Multivariate Cox regression models were used to analyze the associations between Pre-BP and all-cause and CVD mortality.Results:A total of 1 213 patients were enrolled. By the end of follow-up, 175 patients (14.4%) had died, of whom 62 (35.4%) died from CVD. Kaplan-Meier survival curves showed that the Pre-DBP<65 mmHg group (1 mmHg=0.133 kPa) had a significantly lower cumulative survival rate ( χ2=90.52, P<0.001) and a significantly higher CVD mortality rate ( χ2=35.54, P<0.001) than the other groups. The combined Pre-SBP and Pre-DBP analysis showed that the Pre-SBP≥150 mmHg and Pre-DBP<80 mmHg groups had a significantly lower cumulative survival rate ( χ2=45.58, P<0.001) and a significantly higher CVD mortality rate ( χ2=30.13, P<0.001) than the other groups. Multivariate Cox regression model analysis showed that compared with other groups, the risk of MHD all-cause mortality was increased in the Pre-DBP<65 mmHg group and the Pre-SBP≥150 mmHg and Pre-DBP<80 mmHg group [ HR (95% CI)=1.927 (1.195-3.109), 3.298 (1.567-6.939), both P<0.05]. Conclusion:In patients undergoing MHD, Pre-DBP<65 mmHg or Pre-SBP≥150 mmHg and Pre-DBP<80 mmHg were independent risk factors for all-cause mortality, with a low cumulative survival rate and a high risk of CVD mortality.

With the rapid evolution of medical information technology, internet hospitals had become an integral part of China′s healthcare service system and could play a unique role in multidisciplinary diagnosis and treatment (MDT). In 2023, Nanjing Drum Tower Hospital built a smart service platform for MDT based on its internet hospital under the design concept of " global collaboration, process re-engineering, and smart empowerment", and officially launched in November of the same year. The platform included a five-tier architectur: user interaction, application services, data management, system integration and infrastructure, and embeds functional modules such as consultation management, an AI-assisted engine and a workflow engine. This platform covered Nanjing Drum Tower Hospital Group members, implemented an online-offline integrated, end-to-end workflow (pre-intra-post consultation). It realized the integration and utilization of high-quality medical resources across regions and institutions, and improved the quality and efficiency of MDT. As of December 2024, the platform had covered 30 specialties and completed 75 MDT consultations. The consultation cycle had been shortened from the traditional MDT mode of 14.2 days to 2.4 days, effectively reducing the number of patients traveling to and from the hospital. This platform had expanded the business scope of internet hospitals, improved the utilization rate of medical resources, and could provide references for other public hospitals in China to optimize the MDT service mode.

Hepatocellular carcinoma is the most common type of primary liver cancer. Many patients who have been diagnosed with hepatocellular carcinoma are already at an advanced stage, leading to very limited treatment options and poor prognosis. Therefore, the key to improving prognosis is early-stage diagnosis. In recent years, with deeper analysis of the underlying biological mechanisms of HCC, new diagnostic methods have emerged, including emerging serum markers, liquid biopsy, molecular diagnostics, and imaging techniques. This article reviews and analyzes the research progress on early-stage screening and explores their value and application prospects in the early predictive diagnosis of HCC..

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.