During the critical period of global cancer epidemiological transition, the American Cancer Society (ACS) recently published "Cancer Statistics, 2026" on the projected cancer data in the United States. To objectively evaluate the differences in cancer control systems between China and the United States, we compared the actual data of 2022 from National Cancer Center of China (NCC) with the latest the United States data. The mortality-to-incidence (M/I) ratio was used as the core indicator to evaluate clinical diagnosis and screening efficiency, and the Joinpoint regression trends from the source reports were analyzed. In addition, a sensitivity analysis model was built to adjust for the differences in the proportion of death-certificate-only (DCO) cases and the potential impact of the COVID-19 pandemic on China's 2022 cancer screening data. There is a significant contrast in the epidemiological characteristics of cancer between China and the United States in terms of cancer species composition and overall prognosis, which essentially reflects the differences in the epidemiological history of the two countries. This also suggests that in the future, China's cancer prevention and control strategies should shift towards precise hierarchical management to further narrow the gap in health efficacy.

Objective:To analyze the clinical characteristics and outcomes of Haemophilus influenzae (Hi) meningitis in children. Methods:This is a retrospective case series study. This study included 34 Hi meningitis patients who admitted to Beijing Children′s Hospital, Capital Medical University, from January 1, 2010, to December 31, 2023. Data on clinical presentations, laboratory tests, hearing assessment and outcomes at discharge were collected. Patients were divided into 2 groups according to the outcome at discharge: favorable outcome group and unfavorable outcome group. Mann-Whitney U test and Fisher exact test was used to estimate the risk factors for an unfavorable outcome at discharge. Results:Thirty-four patients were enrolled. There were 16 males and 18 females. The age at onset ranged from 3 months to 12 years. Fever (34 patients (100%)), convulsions (17 patients (50%)), and coma (21 patients (62%)) were the common clinical presentations. Twenty-four patients (71%) developed complications. There were 15 patients (44%) needed treatment in the intensive care unit, 5 patients (15%) received intubation, and 4 patients (12%) had developed shock. The favorable outcome group included 23 patients, and the unfavorable outcome group included 11 patients. Female, patients with limb movement disability, dystonia, ventriculomegaly or hydrocephalus, and a concentration of glucose in the initial cerebrospinal fluid lower than 1 mmol/L were risk factors of unfavorable outcome at discharge (all P<0.05). Among the 23 patients (68%) in favorable outcomes group, 13 patients (57%) had data available on their long-term follow-up results, including 12 patients with favorable long-term outcomes and 1 patient with unfavorable long-term outcome. Among the 11 patients (32%) in unfavorable outcomegroup, 1 patient died, the other 10 patients (91%) had data available on their long-term outcomes. Eight patients had unfavorable long-term outcomes and 2 patients with favorable long-term outcomes. Patients who had unfavorable outcomes at discharge were at a greater risk of experiencing unfavorable long-term outcomes ( P=0.001). Conclusions:It is common for patients with Hi meningitis to have intracranial complications or develop into critical conditions. Patients who have limb movement disability, dystonia, ventriculomegaly or hydrocephalus, and who exhibit a concentration of glucose in the initial cerebrospinal fluid lower than 1 mmol/L tend to have unfavorable outcomes; they need to be assessed for sequelae.

Objective:To investigate the relationship between artificial radionuclide 137Cs and stable cesium (Cs) in wild edible fungi and seek potential correlations. Methods:A total of 30 samples, including the caps (with gills) and stipes of wild edible fungi, were collected from the northeastern region of China. The measurement and analysis of 137Cs were conducted following recommended procedures in GB/T 16145-2022, and stable Cs was determined using inductively coupled plasma mass spectrometry (ICP-MS). Then, the correlation analysis of data on 137Cs and stable Cs was performed using SPSS 11.5 software, and scatter plots were prepared using the Origin 21.0 software. Results:The fungi caps exhibited a specific activity of 137Cs ranging from 0.52 to 55.9 Bq/kg (dry weight) and a stable Cs content from 0.069 mg/kg to 16.2 mg/kg (dry weight). The stipes showed a specific activity of 137Cs ranging from 0.53 Bq/kg to 101 Bq/kg (dry weight) and a stable Cs content from 0.075 to 11.5 mg/kg (dry weight). These data revealed a significant correlation between the specific activity of 137Cs and the stable cesium content in all samples including caps and stipes, with correlation coefficients r of 0.956, 0.912, and 0.931, respectively, and all significant levels P < 0.01. The ratios of the specific activity of 137Cs to stable Cs content varied from 2.09 Bq/kg to 20.1 Bq/kg (dry weight), with an average of 10.7 Bq/kg (dry weight). Conclusions:Wild edible fungi fail to distinguish between 137Cs and stable cesium when absorbing Cs elements from their growing substrates. Furthermore, there is a strong correlation between the specific activity of 137Cs and stable Cs content. In the case of exogenous 137Cs contamination, the ratio of the specific activity of 137Cs and stable Cs content will significantly change. Therefore, an increase in the ratio can be used as a reference for identifying 137Cs contamination events.

Breast cancer, a malignant tumor that significantly endangers women′s health, has shown a gradually rising incidence in recent years. Some breast cancer patients experienced poor prognosis. The commonly used imaging techniques for breast cancer include ultrasound, mammography, and magnetic resonance (MR), which suffer from certain limitations in accurately diagnosing and staging breast cancer. Positron emission tomography/computed tomography (PET/CT) enables tumor imaging at the cellular and molecular levels by utilizing radiolabeled molecular probes targeting different ligands. This technique facilitates precise localization and qualitative diagnosis of lesions to improve the staging accuracy, thereby reducing biopsy frequency and enhancing treatment effects for patients. Therefore, PET/CT has gradually developed into an essential imaging method for breast cancer in clinical practice. It plays a critical role in assessing the extent of lesion invasion, predicting immune subtypes, and estimating targeted therapy efficacy, holding promising application prospects. Recently, significant research breakthroughs have been achieved in this field. This review summarized the advances in clinical applications of different PET/CT molecular probes in the diagnosis and treatment of breast cancer, aiming to enhance the understanding of this aspect.

Objective:To investigate the treatment strategies for vesicovaginal fistula（VVF）in women following cervical cancer radiotherapy.Methods:A retrospective analysis was performed on the clinical data of 33 female patients with post-radiotherapy VVF after cervical cancer treatment at Shanghai Sixth People’s Hospital between January 2020 and June 2024. The patients were categorized into three groups based on surgical approaches：Group A（11 patients）：Underwent prone-position VVF repair. Mean age：（50.0±9.6）years；mean radiotherapy sessions：（22.6±2.2）. All had simple VVF without concurrent intestinal or surrounding soft-tissue fistulas. Among them，1 patient previously received laparoscopic VVF repair，1 transvaginal VVF repair，and 2 gracilis muscle flap packing for VVF repair. One month prior to surgery，the average daily usage of urine pads was 16.7（12.8，25.7）pieces，and the quality of life（QOL）score stood at 4.0（4.0，5.0）points. Preoperative cystoscopy revealed that 8 cases had fistulas located in the trigonal region of the bladder，while 3 cases had fistulas on the posterior bladder wall. The diameter of the fistula openings，measured under a microscope，was 1.2（0.8，1.6）cm. Based on the Goh classification criteria for vesicovaginal fistulas，this group included 3 cases of type 1，4 cases of type 2，2 cases of type 3，and 2 cases of type 4；7 cases of type A and 4 cases of type B；as well as 3 cases of typeⅠ，7 cases of type Ⅱ，and 1 case of type Ⅲ.Group B（20 patients）：Underwent gracilis muscle flap packing for VVF repair. Mean age：（58.6±8.8）years；mean radiotherapy sessions：（29.8±3.9）. Three patients had concurrent rectovaginal fistulas and received colostomy for fecal diversion. History of previous interventions：3 had laparoscopic VVF repair，4 transvaginal VVF repair，and 1 both transvaginal and laparoscopic VVF repair. One month prior to surgery，the average daily usage of urine pads was 19.7（15.8，27.7）pieces，and the QOL score stood at 5.0（5.0，6.0）points. Preoperative cystoscopy revealed that 13 cases had fistulas located in the trigonal region of the bladder，while 7 cases had fistulas on the posterior bladder wall. The diameter of the fistula openings，measured under a microscope，was 1.8（1.0，3.2）cm. Based on the Goh classification criteria for vesicovaginal fistulas，this group included 4 cases of type 1，9 cases of type 2，3 cases of type 3，and 4 cases of type 4；6 cases of type A，11 cases of type B and 3 cases of type C；as well as 1 cases of type Ⅱ，and 19 case of type Ⅲ. Group C（2 patients）：Underwent ureterocutaneous diversion. Ages：67 and 73 years；radiotherapy sessions：51 and 60，respectively. Both had concurrent rectovaginal fistulas and bladder soft-tissue fistulas. The patient presented with recurrent thigh abscesses accompanied by fever. One month prior to surgery，the daily usage of urine pads was 29 and 23 pieces，respectively，and the QOL score was 6 points. Cystoscopic examination revealed that the vesicovaginal fistulas were located in the trigone of the bladder，with diameters of 3 cm and 4 cm，respectively. Additionally，partial defects were noted in the ventral wall of the urethra，while no bladder soft tissue fistulas were detected. According to the Goh classification for vesicovaginal fistulas，both cases were categorized as type 4，type C，and type Ⅲ. For Groups A and B，urinary catheters were indwelled for 3 weeks postoperatively，then removed to assess spontaneous urination and incontinence. QOL was evaluated，with a minimum 6-month follow-up. For confirmed postoperative VVF recurrence，re-repair was performed 3?6 months later based on patient preference. For Group C，double-J stents were placed in the ureters，and stoma bags were applied 3 days postoperatively. Stents were replaced every 1?2 months，with QOL assessment. Successful fistula repair in Groups A and B was defined as the absence of vaginal leakage confirmed by cystoscopy after six months of the procedure with no vaginal leakage. For Group C，surgical success was determined by the resolution of perineal urinary leakage and improvement in QOL.Results:All 33 patients completed surgery successfully. Group A：Follow-up duration：16.3（9.6，24.6）months. Surgical repair succeeded in 7 patients，with unobstructed spontaneous urination and no vaginal incontinence. Four patients had VVF recurrence：2 refused further treatment，and 2 underwent repeat gracilis muscle flap packing. One was successfully repaired，while one recurrence case refused further treatment. Group B：Follow-up duration：17.0（9.5，24.8）months（8?32 months）. Thirteen patients restored spontaneous urination without recurrence. Seven had recurrence：5 refused further surgery，and 2 underwent re-repair. One repair succeeded without incontinence，while one recurrence case refused treatment. Group C：Follow-up durations were 6 and 22 months. Perineum remained dry without incontinence（no urine pads needed），and no recurrence of thigh soft-tissue redness/infection occurred. QOL scores were 2 and 3，respectively.Conclusions:Post-radiotherapy VVF in women after cervical cancer presents complex and variable conditions. The primary goal of treatment should be to improve patients’ quality of life. Treatment approaches should be selected based on the complexity of urinary fistulas and local tissue conditions. In general，patients who are younger，have received lower doses of radiation therapy，present with smaller fistula diameters，have well-vascularized and elastic perifistular tissues，and have no concurrent tissue fistulas are candidates for prone-position VVF repair. Patients who do not meet the criteria for transvaginal repair，have a history of at least two previous repair attempts，or have concurrent vaginorectal fistulas require gracilis muscle flap packing for VVF repair. Patients with three or more types of concurrent tissue fistulas，extensive pale and inelastic perifistular tissues，and who are not amenable to repair surgery undergo ureterocutaneous diversion.

Objective:To develop and validate a combined model integrating radiomics, dosiomics, and clinical parameters based on CT simulation and dosimetric images in order to predict the occurrence of radiation pneumonitis (RP) in patients with non-small cell lung cancer (NSCLC).Methods:A retrospective study was conducted on the clinic data of 143 NSCLC patients who received radiotherapy at the Affiliated Hospital of Jining Medical University from January 2016 to December 2022. Patients were randomly stratified into a training group ( n = 100) and an internal validation group ( n = 43) at a 7∶3 ratio. Moreover, clinic data were collected from 34 NSCLC patients who received radiotherapy at the Jining Cancer Hospital between January 2019 and December 2022 as an external validation group. All three groups (the training group, internal validation, and external validation groups) were further categorized into two groups based on the RP severity (i.e., RP ≥ grade 2 and RP < grade 2). Their radiotherapy dose, CT simulation, and 3D dose distribution images were collected. Then, the total lung minus planning target volume (TL-PTV) was defined as the region of interest (ROI) for radiomics and dosiomic feature extraction, followed by feature dimensionality reduction. Consequently, key features associated with RP were determined. Four predictive models were developed using machine learning approaches (especially multilayer perceptron, MLP): a clinical model (CM), a radiomics model (RM), a dosiomics model (DM), and a radiomics and dosiomics nomogram (RDN), with a nomogram subsequently constructed. Ultimately, the performance and clinical feasibility of these models were assessed using receiver operating characteristic (ROC), area under the curve (AUC), and decision curve analysis (DCA). Results:A total of 1 834 radiomic features and 1 834 dosiomic features were extracted. Using the occurrence of RP ≥ grade 2 as the marker variable, 14 radiomic features, 15 dosiomic features, and three clinical features were selected from the training group to construct the prediction models (CM, RM, DM, and RDN). The performance and generalizability of these models were subsequently validated in both the internal validation and external validation groups. Specifically, the RDN exhibited AUCs of 0.915 (95% CI: 0.852-0.978), 0.879 (95% CI: 0.777-0.982), and 0.838 (95% CI: 0.701-0.975) in the three groups, respectively. A nomogram was established for RDN by integrating the radiomics score (R-score), dosiomics score (D-score), mean lung dose (MLD), V20, and V30. This nomogram allowed for individualized risk estimation of RP and facilitated personalized radiotherapy planning. Conclusions:The RDN model that is developed based on CT simulation and 3D dose distribution images and integrates radiomics, dosiomics, and clinical features can effectively predict the RP risk of NSCLC patients. The integration of multidimensional data contributes to the formation of the optimal predictive model, offering guidance for clinicians.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

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.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.