Objective:To investigate the survival outcomes and prognostic factors in patients undergoing radical resection for pancreatic body and tail cancer.Methods:A retrospective case series study was conducted on 992 patients who underwent radical resection for pancreatic body and tail cancer at the Pancreatic Center of the First Affiliated Hospital of Nanjing Medical University from January 2016 to June 2024. In this study, 577 (58.2%) were male and 415 (41.8%) were female,with an age of (65±9) years (range: 26 to 86 years). Follow-up continued until June 2024. Survival rates were estimated using the Kaplan-Meier method,and prognostic factors were identified using univariate and multivariate Cox proportional hazards models.Results:Among 992 patients,open surgery was the predominant approach (89.1%, 884/992), and radical antegrade modular pancreatosplenectomy (RAMPS) was performed in 317 patients (32.0%). Combined organ resection,venous resection,and arterial resection were performed in 23.5%, 9.3%,and 11.2% of patients,respectively. The rates of R0, R1-1 mm, and R1-direct resections were 49.8% (494/992),41.5% (412/992), and 8.7% (86/992),respectively. Stage ⅡB was the most common TNM stage (32.2%,319/992). A total of 801 patients (80.8%) received adjuvant chemotherapy. The median follow-up period was 32.0(8.8) months(range:3.2 to 105.3 months),during which 508 patients (51.2%) died. The overall median survival (OS) was 26.4 months,with 1-,3-, and 5-year survival rates of 79.0%,40.0%, and 29.0%, respectively. In the recent five years (from 2020 to 2024), the median OS improved significantly to 34.1 months compared to 20.0 months from 2016 to 2019 ( P<0.01). Histological subtype analysis showed that the median OS time was 26.7 months for pancreatic ductal adenocarcinoma (PDAC, n=855),58.9 months for invasive intraductal papillary mucinous carcinoma (IPMC, n=32),and 15.7 months for adenosquamous carcinoma of pancreas (ASCP, n=73) ( P=0.001). Among PDAC patients, adjuvant chemotherapy significantly improved survival (29.1 months vs. 14.4 months, P<0.01);in IPMC patients, adjuvant chemotherapy also extended survival (65.7 months vs. 58.9 months, P=0.047). Although ASCP patients receiving chemotherapy had a longer median OS time than those without (18.8 months vs. 8.9 months),the difference was not statistically significant ( P=0.151). Multivariate Cox regression analysis in PDAC patients indicated that adjuvant chemotherapy, R0 resection, T stage,N stage,and tumor differentiation were independent prognostic factors ( P<0.01). The median OS time by TNM stage was:not reached for stage ⅠA, 51.6 months for ⅠB, 25.5 months for ⅡA, 23.7 months for ⅡB, 23.0 months for Ⅲ, and 14.4 months for Ⅳ. The median OS time for R0,R1-1 mm,and R1-direct resections was 34.1,24.7,and 15.7 months,respectively ( P<0.01). Conclusion:Adjuvant chemotherapy,R0 resection,tumor stage,and differentiation are independent prognostic factors for pancreatic body and tail cancer.

Objective To elucidate the changes in the gut microbiota and molecular mechanism of huaier in enhancing the efficacy of oxaliplatin (OXA) chemotherapy in gastric cancer (GC). Methods The effects of huaier on the gut microbiota structure and intestinal barrier function in MKN45-bearing mice were analyzed by using 16S rRNA sequencing, RT-qPCR, and IHC. UPLC-MS and network pharmacology, as well as in vivo experimental approaches, were employed to investigate the key bioactive constituents of huaier systematically and elucidate the underlying mechanisms by which huaier exerts therapeutic effects against GC. The expression of the PI3K/AKT/SREBP pathway was detected in cancer cells and tissues via Western blot analysis. The safety profile of huaier combined with OXA was verified through serum biochemistry and HE-stained tissue section analyses. Results Huaier inhibited the PI3K/AKT/SREBP pathway by increasing the abundance of Akkermansia muciniphila, reduced lipid droplet deposition, and ultimately enhanced the sensitivity to OXA in the treatment of GC. Conclusion This study demonstrates the value of huaier in gastric cancer treatment by enhancing chemosensitivity and provides novel insights into its systemic therapeutic effects through molecular mechanisms and gut microbiota modulation.

Objective:To investigate the survival outcomes and prognostic factors in patients undergoing radical resection for pancreatic body and tail cancer.Methods:A retrospective case series study was conducted on 992 patients who underwent radical resection for pancreatic body and tail cancer at the Pancreatic Center of the First Affiliated Hospital of Nanjing Medical University from January 2016 to June 2024. In this study, 577 (58.2%) were male and 415 (41.8%) were female,with an age of (65±9) years (range: 26 to 86 years). Follow-up continued until June 2024. Survival rates were estimated using the Kaplan-Meier method,and prognostic factors were identified using univariate and multivariate Cox proportional hazards models.Results:Among 992 patients,open surgery was the predominant approach (89.1%, 884/992), and radical antegrade modular pancreatosplenectomy (RAMPS) was performed in 317 patients (32.0%). Combined organ resection,venous resection,and arterial resection were performed in 23.5%, 9.3%,and 11.2% of patients,respectively. The rates of R0, R1-1 mm, and R1-direct resections were 49.8% (494/992),41.5% (412/992), and 8.7% (86/992),respectively. Stage ⅡB was the most common TNM stage (32.2%,319/992). A total of 801 patients (80.8%) received adjuvant chemotherapy. The median follow-up period was 32.0(8.8) months(range:3.2 to 105.3 months),during which 508 patients (51.2%) died. The overall median survival (OS) was 26.4 months,with 1-,3-, and 5-year survival rates of 79.0%,40.0%, and 29.0%, respectively. In the recent five years (from 2020 to 2024), the median OS improved significantly to 34.1 months compared to 20.0 months from 2016 to 2019 ( P<0.01). Histological subtype analysis showed that the median OS time was 26.7 months for pancreatic ductal adenocarcinoma (PDAC, n=855),58.9 months for invasive intraductal papillary mucinous carcinoma (IPMC, n=32),and 15.7 months for adenosquamous carcinoma of pancreas (ASCP, n=73) ( P=0.001). Among PDAC patients, adjuvant chemotherapy significantly improved survival (29.1 months vs. 14.4 months, P<0.01);in IPMC patients, adjuvant chemotherapy also extended survival (65.7 months vs. 58.9 months, P=0.047). Although ASCP patients receiving chemotherapy had a longer median OS time than those without (18.8 months vs. 8.9 months),the difference was not statistically significant ( P=0.151). Multivariate Cox regression analysis in PDAC patients indicated that adjuvant chemotherapy, R0 resection, T stage,N stage,and tumor differentiation were independent prognostic factors ( P<0.01). The median OS time by TNM stage was:not reached for stage ⅠA, 51.6 months for ⅠB, 25.5 months for ⅡA, 23.7 months for ⅡB, 23.0 months for Ⅲ, and 14.4 months for Ⅳ. The median OS time for R0,R1-1 mm,and R1-direct resections was 34.1,24.7,and 15.7 months,respectively ( P<0.01). Conclusion:Adjuvant chemotherapy,R0 resection,tumor stage,and differentiation are independent prognostic factors for pancreatic body and tail cancer.

To systematically synthesize evidence on multiple KRAS G12C inhibitors(KRAS G12C inhibitors, KRAS G12Ci) as monotherapy within a unified population and recommended-dose framework, establish a comparable benchmark range of efficacy and safety for previously treated patients with advanced or metastatic KRAS G12C-mutant non-small cell lung cancer(NSCLC), and explore potential effect modifiers.

Objective To develop a toolkit suitable for assisting community health institutions in the early identification and inter-vention of mild cognitive impairment(MCI)among older adults.Methods A literature review was conducted to construct a draft of the identification and intervention toolkit.Tools with an expert approval rate above 70%were included after expert consultation.The final version of the toolkit was developed by integrating these tools with officially recommended tools in China.Results The expert consultation yielded an authority coefficient of 0.84.The finalized toolkit included the assessment tools of Mini-Mental State Examination,Montreal Cognitive Assessment,General Practitioner Assessment of Cognition,Cognitive Abilities Screening Instrument and Clock Drawing Test,and 18 intervention measures in-cluding pharmacological treatment,cognitive training and psychological interventions,etc.Conclusion The MCI Identification-Intervention Toolkit may serve as a reference for guiding the identification and inter-vention of MCI among older adults for community health institutions.

Objective:To investigate the determinants of hospitalization costs for joint replacement surgeries in a tertiary public hospital in Beijing from 2011 to 2023.Methods:Structural variation degree,grey relational analysis,and multiple linear regression were applied to assess the impact of policy reforms and clinical factors.Results:Average hospitalization cost per visit decreased markedly in 2013,rose steadily to a peak in 2019,and then declined.Medical pricing policies significantly influenced both cost levels and structure.Material cost consistently showed the strongest association with total cost,while treatment cost became the second most influential factor after four rounds of price adjustments.Length of stay,number of secondary diagnoses,number of additional surgeries,number of procedures,and ICU admission had impact on the average hospitalization cost per visit,with statistical significance.Conclusion:Price adjustments for consumables and treatment services are the main drivers of average hospitalization costs for joint replacement surgeries.Further optimization of cost structures and medical service pricing is required to better reflect labor value,while the labor value is required to be promoted.The length of stay and operation amount have impact on the average hospitalization cost per visit.It is needed to focus on improving efficiency and care quality.

Objective To investigate the effect of transcutaneous auricular vagus nerve stimulation(taVNS)on quality of early postoperative recovery in patients undergoing thoracoscopic lung resection.Methods A total of 168 patients scheduled for elective thoracoscopic lung resection(wedge resection,segmentectomy,lobectomy)under general anesthesia were enrolled and randomly assigned to active-taVNS group(group T)or sham-taVNS group(group S)(n=84).Participants received four consecutive 30-minute sessions of active stimulation or sham stimulation at four time points:(1)the afternoon prior to the surgery,(2)the morning of the surgery,(3)following extubation,and(4)the first afternoon post-surgery.The Quality of Recovery-15(QoR-15)scores of the patients,the Numerical Rating Scale(NRS)scores at rest and during cough at 24,48,and 72 hours after surgery were recorded;and the usage of opioids within 48 hours after surgery was recorded;the duration of chest tube indwelling,incidence of severe pulmonary complications,postoperative hospital stay and adverse reactions to the stimulation(such as nausea and vomiting,fever,constipation,dizziness and itching)were observed.Results Compared with group S,group T exhibited significantly higher QoR-15 scores at 24,48,and 72 h postoperatively,lower NRS pain scores during resting and coughing,and reduced opioid consumption within 48 hours postoperatively(P<0.05).There were no significant differences between the two groups in the duration of chest tube indwelling,incidence of severe pulmonary complications,hospital stay,and the incidence of adverse reactions to the stimula-tion(P>0.05).Conclusion TaVNS can significantly improve quality of early postoperative recovery in patients undergoing thoracoscopic lung resection,and provide more effective postoperative analgesia without increasing the risk of postoperative complications.

Objective To observe impact factors of average glandular dose(AGD)of full field digital mammography(FFDM)and digital breast tomosynthesis(DBT)under breast Combo mode.Methods Totally 169 subjects who received FFDM and DBT under Combo mode were collected retrospectively.The breast compression thickness,tube voltage,tube current and AGD of FFDM and DBT exposure at cranio-caudal(CC)and mediolateral oblique(MLO)positions of bilateral breast were recorded.FFDM or DBT exposure conditions and AGD among different breast compression thickness and breast types were compared,and their correlations were analyzed.The impacts of breast compression thickness and breast density on AGD of FFDM or DBT were observed.Results There were significant differences in tube voltage,tube current and AGD of FFDM or DBT among different breast compression thicknesses(all P＜0.001).With the increase of breast compression thickness,tube voltage,tube current and AGD of FFDM or DBT all increased(all P＜0.001).There were statistical differences in breast compression thickness,tube voltage,tube current and AGD of FFDM or DBT among different types breast(all P＜0.001).Hierarchical analysis showed that,when breast compression thickness was＜50 mm,50-59 mm and＞59 mm respectively,statistical differences in AGDFFDM and AGDDBT among different breast types at CC or MLO positions were found(all P＜0.001).Under the same breast compression thickness,tube current,AGDFFDM and AGDDBT of FFDM or DBT all increased with the increase of breast density(all P＜0.001),while tube voltage of FFDM or DBT had no obvious change(all P＞0.05).Breast compression thickness and breast density were both independent factors of AGD of FFDM or DBT(all P＜0.001).Conclusion Under breast Combo mode,breast compression thickness and gland density both had impacts on AGD of FFDM or DBT,and the former had more significant impact on AGD.

Objective:To assess the safety and efficacy of thiotepa, busulfan, and etoposide (TBE) conditioning followed by autologous hematopoietic stem-cell transplantation (TBE auto-HSCT) in primary central nervous system lymphoma (PCNSL) patients.Methods:Clinical data from 27 PCNSL patients who received TBE auto-HSCT at the Fifth Medical Center of PLA General Hospital between November 1, 2021, and April 30, 2024, were retrospectively analyzed.Results:Twenty-seven patients [16 males, 11 females; median age 57 (23–72) years] were included, with 12 (44.4%, 12/27) over 60. Twenty-five had newly diagnosed PCNSL and 2 were relapsed. Median time from diagnosis to transplantation was 6.9 (5.0–10.0) months. TBE auto-HSCT increased complete remission (CR) rate from 63.0 to 96.3% ( P= 0.005), and 9 of 10 patients in partial remission achieving CR post-transplant. Median follow-up was 24.5 months (range 2.0–36.0). Two-year progress-free and OS rates were (87.2±6.9) % and (88.6±6.2) %, respectively. Common grade 3 nonhematologic adverse events were diarrhea (18.5%, 5/27) and bacterial infections (14.8%, 4/27). One patient (64 years old) died from carbapenem-resistant Enterobacteriaceae infection within 2 months post-transplant, yielding a 100-day treatment-related mortality of 3.7% (1/27) . Conclusion:TBE-conditioned high-dose chemotherapy with auto-HSCT is effective, safe, and well-tolerated in PCNSL patients, including the elderly.

Objective:To construct a machine learning model based on localization CT-based radiomics, dosiomics and clinical features for predicting radiotherapy response in non-small cell lung cancer (NSCLC) and validate its application value.Methods:A retrospective case series study was conducted. A total of 138 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022 were selected. The efficacy was evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1, and the patients were stratified according to the objective remission (complete remission+partial remission). Random stratified sampling was used to divide the 138 patients into a training group (96 cases) and an internal validation group (42 cases) at a ratio of 7∶3. Additionally, 33 patients who received radiotherapy at Jining Cancer Hospital from January 2019 to December 2022 were included as the external validation group. Based on the pre-radiotherapy data of the radiotherapy planning system, PyRadiomics software package was used to extract 107 radiomics features and 107 dosiomics features for each patient. Pearson correlation analysis and LASSO regression analysis were used for dimensionality reduction screening; the final selected features were weighted and integrated to generate radiomics-dosiomics scores (RDS), which were then input into logistic regression (LR), support vector machine (SVM), extremely randomized forest (Extra Trees), K-nearest neighbor algorithm (KNN), lightweight gradient boosting machine (Light GBM), and multi-layer perceptron (MLP) machine learning algorithms to construct 6 radiomics-dosiomics models (RDM) for predicting the objective remission. RECIST 1.1 standard was used to evaluate objective remission as the gold standard, receiver operating characteristic (ROC) curve of 6 RDM for predicting objective remission was plotted, and the optimal algorithm for RDM was selected. Univariate and multivariate logistic regression were performed on demographic characteristics, hematological indicators and radiotherapy parameters of the training group to screen independent risk factors for NSCLC patients who received radiotherapy but did not achieve objective remission. These factors were input into the optimal machine learning algorithm to construct a clinical model (CM). Combined with features from RDS and CM, the clinical feature-radiomics-dosiomics combined model (CRDM) was established, and the nomogram of the model for predicting objective remission in NSCLC patients with radiotherapy was drawn. ROC curves were used to evaluate the efficacy of CM, RDM and CRDM in predicting the objective remission in NSCLC patients with radiotherapy in the training group, internal validation group and external validation group.Results:Four radiomics features (including grayscale variance, low grayscale long-range operation emphasis, low grayscale area emphasis, and small area low grayscale area emphasis, all of which were texture features) and 6 dosiomics features [including 1 first-order feature (robust mean absolute deviation), 4 texture features (grayscale non-uniformity, large area emphasis, large area high grayscale emphasis, contrast) and 1 shape feature (shortest axis length)] were selected. ROC curve analysis showed that the area under the curve (AUC) of the RDM constructed using SVM algorithm for judging the objective remission in the training group and the internal validation group was 0.907 (95% CI: 0.836-0.977) and 0.822 (95% CI: 0.685-0.959), which were higher than RDM constructed using other algorithms, and the sensitivity (96.2% and 91.7%), specificity (78.6% and 76.7%) and accuracy (83.3% and 81.0%) at the optimal cut-off values were all higher. Considering the stability and generalization ability of the model, SVM algorithm was ultimately used to construct RDM, CM and CRDM uniformly. Based on training group data, univariate and multivariate logistic regression analysis showed that elevated platelet-to-lymphocyte ratio (PLR) ( OR = 1.001, 95% CI: 1.000-1.003, P = 0.035) and increased target volume of radiotherapy plan ( OR = 1.001, 95% CI: 1.000-1.001, P = 0.008) were independent risk factors for failure to achieve objective remission. ROC curve analysis showed that in the training group and the internal validation group, the AUC of CRDM predicting objective remission were 0.914 (95% CI: 0.856-0.972) and 0.864 (95% CI: 0.754-0.974), respectively, which were better than CM [AUC were 0.735 (95% CI: 0.612-0.857) and 0.697 (95% CI: 0.507-0.888)] and RDM, respectively. In the external validation group, the AUC of CRDM, CM and RDM were 0.778 (95% CI: 0.500-1.000), 0.667 (95% CI: 0.434-0.899) and 0.741 (95% CI: 0.463-1.000), respectively. Conclusions:The CRDM constructed by combining radiomics, dosiomics and clinical features can comprehensively and accurately evaluate the radiotherapy response of NSCLC patients, and may have important clinical application value in achieving precision medicine and optimizing treatment strategies.