Objective To analyze the prevalence of malignant tumors in cancer registration areas in Hubei Province in 2021. Methods Data on the incidence and mortality of malignant tumors from 31 cancer registries in Hubei Province in 2021 were collected. Incidence, mortality (crude rate, ASRC, and ASRW), and cumulative rates in the 0-74-year-old age group were calculated by gender, urban-rural area, and age group. Descriptive epidemiological methods were used to describe and analyze the incidence and mortality characteristics of malignant tumors in cancer registration areas in Hubei Province in 2021. Results In 2021, malignant tumors in cancer registration areas in Hubei Province had an incidence of 329.62/10⁵, an ASIRC of 189.33/10⁵, an ASIRW of 201.50/10⁵, and a cumulative rate of 20.81% in the 0-74-year-old age group. Malignant tumors had a mortality rate of 183.59/10⁵, an ASMRC of 90.36/10⁵, an ASMRW of 103.22/10⁵, and a cumulative rate of 10.26% in the 0-74-year-old age group. Incidence and mortality were higher in males than in females, with incidence rates in urban areas being significantly higher than those in rural areas, whereas urban and rural mortality rates showed no significant difference. The incidence of malignant tumors gradually increased with age, peaking in the 75-79-year-old age group. Mortality rose rapidly after 45 years and peaked in the 85+-year-old age group. Significant gender and urban–rural differences were found in the incidence and mortality of malignant tumors. The leading cause of incidence across the province was lung cancer, followed by female breast, thyroid, colorectal, and liver cancers. The top five causes of death were lung, liver, stomach, colorectal, and esophageal cancers. The incidence rates of female breast, thyroid, and colorectal cancers were higher in urban areas than in rural areas, whereas the burden of liver and cervical cancers was more prominent in rural areas than in urban areas. Significant differences were found in the incidence of malignant tumors among different cities and counties. Conclusion In 2021, the burden of malignant tumors in cancer registration areas in Hubei Province was primarily caused by lung, digestive tract, liver, and female breast cancers, with significant regional differences. This situation seriously endangers the health of residents. Comprehensive prevention and control measures should be continuously strengthened to reduce the burden of malignant tumors.

OBJECTIVE: Circadian rhythm disruption (CRD) is a risk factor that correlates with poor prognosis across multiple tumor types, including hepatocellular carcinoma (HCC). However, its mechanism remains unclear. This study aimed to define HCC subtypes based on CRD and explore their individual heterogeneity. METHODS: To quantify CRD, the HCC CRD score (HCCcrds) was developed. Using machine learning algorithms, we identified CRD module genes and defined CRD-related HCC subtypes in The Cancer Genome Atlas liver HCC cohort (n = 369), and the robustness of this method was validated. Furthermore, we used bioinformatics tools to investigate the cellular heterogeneity across these CRD subtypes. RESULTS: We defined three distinct HCC subtypes that exhibit significant heterogeneity in prognosis. The CRD-related subtype with high HCCcrds was significantly correlated with worse prognosis, higher pathological grade, and advanced clinical stages, while the CRD-related subtype with low HCCcrds had better clinical outcomes. We also identified novel biomarkers for each subtype, such as nicotinamide n-methyltransferase and myristoylated alanine-rich protein kinase C substrate-like 1. CONCLUSION We classify the HCC patients into three distinct groups based on circadian rhythm and identify their specific biomarkers. Within these groups greater HCCcrds was associated with worse prognosis. This approach has the potential to improve prediction of an individual's prognosis, guide precision treatments, and assist clinical decision making for HCC patients. Please cite this article as: Li XJ, Chang L, Mi Y, Zhang G, Zhu SS, Zhang YX, et al. Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm. J Integr Med. 2025; 23(4): 445-456.
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Circadian Rhythm/genetics* ; Prognosis ; Male ; Female ; Biomarkers, Tumor/genetics* ; Middle Aged ; Machine Learning ; Computational Biology

OBJECTIVE: To investigate the association between ABO blood types and gestational diabetes mellitus (GDM) risk. METHODS: A prospective birth cohort study was conducted. ABO blood types were determined using the slide method. GDM diagnosis was based on a 75-g, 2-h oral glucose tolerance test (OGTT) according to the criteria of the International Association of Diabetes and Pregnancy Study Groups. Logistic regression was applied to calculate the odds ratios ( ORs) and 95% confidence intervals ( CIs) between ABO blood types and GDM risk. RESULTS: A total of 30,740 pregnant women with a mean age of 31.81 years were enrolled in this study. The ABO blood types distribution was: type O (30.99%), type A (26.58%), type B (32.20%), and type AB (10.23%). GDM was identified in 14.44% of participants. Using blood type O as a reference, GDM risk was not significantly higher for types A ( OR = 1.05) or B ( OR = 1.04). However, women with type AB had a 19% increased risk of GDM ( OR = 1.19, 95% CI = 1.05-1.34; P < 0.05), even after adjusting for various factors. This increased risk for type AB was consistent across subgroup and sensitivity analyses. CONCLUSION The ABO blood types may influence GDM risk, with type AB associated with a higher risk. Incorporating it-either as a single risk factor or in combination with other known factors-could help identify individuals at risk for GDM before or during early pregnancy.
Humans ; Female ; Pregnancy ; Diabetes, Gestational/etiology* ; ABO Blood-Group System ; Adult ; Prospective Studies ; Risk Factors ; Young Adult

Liquiritigenin(LG)is a flavone of pharmacological importance,however,its application potential is severely limited due to its poor water solubility.LG could be disassociated slightly in water to form phenolate anion,therefore,better solubilization effect is expected by inclusion with cationic cyclodextrins(CCDs).In this work,four kinds of CCDs modified with amino groups at the primary face were synthesized,and their solid inclusion complexes with LG were successfully prepared by preparing their saturated solutions.The formation of the solid inclusion complexes was confirmed by scanning electron microscopy(SEM)and powder X-ray diffraction(PXRD),and their supramolecular binding behavior in solution was studied using multiple techniques.A 1∶1 inclusion stoichiometry of inclusion complexation was defined using Job plot by ultraviolet-visible(UV-vis)spectroscopy,and their binding stability constants(Ks)were determined as 2862.77,3494.70,6521.85 and 9599.48 L/mol using UV-vis spectroscopic titration,far more superior to that of nativeβ-CD(Ks=236.79 L/mol).This indicated that the amino side chains on CCDs could actively participate in the inclusion complexation through anion-cation interactions,significantly strengthening the host-guest binding between CCDs and LG.The inclusion modes were further elucidated based on proton and two-dimensional rotating-frame overhauser enhancement spectroscopy(2D-ROESY)nuclear magnetic resonance(NMR)experiments and molecular docking.Water solubility of LG was dramatically promoted up to 4.9 mg/mL,which was 70-fold higher than that of native LG.This study could draw inspiration for the binding and solubilization of phenols such as flavones by design of cationic macrocyclic molecules.

Hematologic malignancies,such as lymphoma,myeloma,and myeloid neoplasms,can occur in extramedullary tissues.Traditional histopathological morphology and immunohistochemical staining have lim-itations,including time-consuming specimen processing,prolonged reporting cycles,and relatively low sensi-tivity in cases of limited cell numbers.Flow cytometry offers significant advantages in detecting tissue sam-ples,such as rapid processing,shorter reporting cycles,and high accuracy and sensitivity,making it an effective complement to histopathological and immunohistochemical methods.However,the application of flow cytome-try in tissue sample detection currently lacks standardized protocols for sample collection and preservation,single-cell suspension preparation,antibody panel design for limited samples,data analysis,and result repor-ting.To promote the standardized application of flow cytometry in detecting hematologic tumor cells in tissue samples,the Cell Analysis Professional Committee of the Chinese Society of Biotechnology organized experts to develop the Chinese Expert Consensus on Flow Cytometry for Detecting Hematologic Tumor Cells in Tis-sue Samples(hereinafter referred to as the Consensus).This Consensus elaborates on the technical aspects of flow cytometry for tissue sample detection,covering sample processing,antibody panel design,data analysis,reporting content,and quality management.It particularly emphasizes recommended antibody panels and data analysis methods for flow cytometry when tissue sample cell counts are low.This article aims to interpret the key points of the Consensus to facilitate its better application in clinical practice.

Objective:To investigate the local hemodynamic spatial distribution of internal carotid artery stenosis and its correlation with plaque characteristics using high-resolution vessel wall imaging (HR-VWI) combined with computational fluid dynamics.Methods:This was a cross-sectional study. A retrospective analysis was conducted on the clinical and imaging data of 70 patients with moderate to severe stenosis at the initiation of the internal carotid artery in First Teaching Hospital of Tianjin University of Traditional Chinese Medicine and Tianjin First Central Hospital from March 2018 to June 2020. All patients underwent HR-VWI and CT angiography examinations. The parameters related to plaque characteristics, such as plaque length, maximum wall thickness, plaque volume, wall volume percentage and intraplaque hemorrhage (IPH) were measured and evaluated on HR-VWI images. CT angiography images were used to construct a local hemodynamic vascular model to measure various wall shear stress (WSS) derived parameters, such as time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI), relative residence time (RRT), and transverse wall shear stress (transWSS), at the narrowest, proximal, and distal parts of the lesion. The Friedman test was used to analyze the difference of hemodynamic parameters in different parts of the lesion. Spearman correlation analysis was performed to assess the correlation between plaque burden and local hemodynamic parameters. Univariate and multivariate logistic regression analyses were used to explore the independent risk factors for predicting IPH.Results:Among the 70 patients, 25 patients with IPH and 45 patients without IPH. The overall differences in TAWSS, OSI, RRT and transWSS at the narrowest, proximal, and distal parts of the lesion in 70 patients were statistically significant ( P<0.05). The TAWSS and transWSS at the narrowest parts were significantly higher than those at the proximal and distal parts ( P<0.05). The OSI at the distal part was significantly higher than that at the narrowest and the proximal parts ( P<0.05). The RRT at the proximal part was significantly lower than that at the narrowest and the distal parts ( P<0.05). Spearman correlation analysis showed RRT at the distal part was correlated with plaque volume ( r s=0.249, P=0.044) and wall volume percentage ( r s=0.286, P=0.016), respectively. In a multivariate logistic regression showed plaque length ( OR=1.315, 95% CI 1.073-1.612, P=0.008) and TAWSS at the narrowest part ( OR=1.631, 95% CI 1.308-1.854, P=0.008) were independent risk factors for predicting IPH. Conclusions:The spatial distribution of local hemodynamics of moderate to severe stenosis at the initiation of the internal carotid artery is different, and the WSS parameters in different parts of the lesion have different effects on plaque volume, wall volume percentage and IPH.

Objective:To investigate the impact of geometric morphology and hemodynamic characteristics at the carotid bifurcation on the formation of ulcerated plaques based on CT angiography(CTA).Methods:This was a cross-sectional study. The clinical and imaging data of 71 patients with carotid bifurcation atherosclerotic plaques (stenosis≥50%) confirmed by cranial and cervical CTA at Tianjin TEDA Hospital from July 2020 to October 2023 were retrospectively analyzed. Patients were divided into an ulcerated plaque group (32 cases) and a non-ulcerated plaque group (39 cases) based on plaque ulceration status. The CTA technique was used to assess the geometric parameters of the carotid bifurcation [such as the bifurcation angle, the angle between the common carotid artery and internal carotid artery (CCA-ICA), the proximal curvature angle of the internal carotid artery (ICA), and the ratio of the maximum area at the carotid bifurcation to the initial area of the carotid artery (CCAMAX/CCA)] and plaque characteristic parameters [such as plaque area at the site of stenosis, maximum wall thickness, remodeling ratio, eccentricity index, and presence of calcification within plaques]. Quantitative analysis of hemodynamic parameters in the plaque region was performed using finite-element analysis software, including time-averaged wall shear stress (TAWSS), transverse wall shear stress (transWSS), relative residence time (RRT), and oscillatory shear index (OSI). Comparisons of parameters between the two groups were conducted using the Mann-Whitney U test or χ2 test, and multivariate logistic regression analysis was employed to identify independent geometric and plaque characteristic factors influencing the formation of ulcerated plaques. A combined model incorporating hemodynamic, geometric, and plaque characteristic parameters was developed, and the efficacy of this combined model in predicting ulceration formation at the carotid bifurcation was evaluated using receiver operating characteristic curves and the area under the curve (AUC). Results:The bifurcation angle, CCA-ICA angle, proximal ICA curvature angle, CCAMAX/CCA ratio, presence of calcification within plaques, plaque area at the site of stenosis, and maximum wall thickness exhibited statistically significant differences between the ulcerated plaque group and the non-ulcerated plaque group ( P<0.05). Logistic regression analysis showed that CCAMAX/CCA ( OR=6.452, 95% CI 1.541-27.015, P=0.011) and plaque area at the site of stenosis ( OR=1.048, 95% CI 1.015-1.124, P=0.011) were independent factors influencing the formation of ulcerated plaques at the carotid bifurcation. The maximum and mean values of RRT and OSI in the ulcerated plaque group were significantly higher than those in the non-ulcerated group ( P<0.05), while the maximum and mean values of transWSS and TAWSS were lower in the ulcerated group compared to the non-ulcerated group ( P<0.05). The AUC for the combined model predicting ulceration formation at the carotid bifurcation was 0.926. Conclusions:The CCAMAX/CCA ratio and plaque area at the site of stenosis at the carotid bifurcation are independent factors influencing the formation of ulcerated plaques. A model that combines geometric morphology and hemodynamic parameters can more effectively diagnose the formation of ulcerated plaques at the carotid bifurcation.

Objective:To investigate the relationship among iron content, volume and drainage venous oxygen saturation (SvO 2) in deep gray matter nuclei of healthy people using quantitative susceptibility mapping (QSM). Methods:The study was a cross-sectional study. A total of 126 healthy volunteers were prospectively enrolled in the community in Tianjin from June 2019 to December 2023, and 57 males and 69 females, aged 48±15 years. All healthy volunteers underwent MRI examinations to get STrategically Acquired Gradient Echo images, then it was post-processed to obtain T 1 weighted enhanced images, QSM maps and the maximum intensity projection images. In QSM maps, caudate nucleus (CN), putamen (PUT), globus pallidus (GP), thalamus (THU), subthalamic nucleus (STN), substantia nigra (SN) and red nucleus (RN) were semi-automatically segmented to calculate the iron content and volume using SPIN software. Four bilateral deep cerebral veins regions of interest, including septum pellucidum veins, thalamostriate veins, internal cerebral veins and basilar veins, were manually delineated on the maximum intensity projection images of QSM to obtain venous magnetic sensitivity. The venous magnetic sensitivity was calculated as SvO 2. To observe the age-related trend of SvO 2, iron content and volume, the partial correlation analysis was conducted. The relationships between iron content, volume and SvO 2 were explored using the partial correlation analysis. To explore the potential effects of SvO 2 between iron content and volume in deep gray matter, the mediation analysis was utilized. Results:The relationships between the SvO 2 of thalamostriate veins ( r=0.23, P=0.018), basilar veins ( r=0.27, P=0.004) and age were positive. The relationships between the SvO 2 of internal cerebral veins and the iron contents of CN ( r=?0.25, P=0.042) and PUT ( r=?0.33, P<0.001) were negative. The relationships between the SvO 2 of basilar veins and the iron contents of STN ( r=?0.25, P=0.042) and SN ( r=?0.24, P=0.045) were negative. The relationships between iron content and volume including CN ( r=0.46, P<0.001), PUT ( r=0.20, P=0.027), GP ( r=0.76, P<0.001), STN ( r=0.87, P<0.001), SN ( r=0.90, P<0.001), RN ( r=0.79, P<0.001) were positive. The mediation analysis showed that the SvO 2 of internal cerebral veins indirectly mediated the relationship between iron content and volume of CN, PUT, GP and THU. Conclusions:The process of iron deposition required the participation of oxygen in deep gray matter nuclei. Volume shows positive correlation with iron content in deep gray matter nuclei, with individual variations. The SvO 2 of internal cerebral veins mediate the relationship between iron content and volume of deep gray matter nuclei.

Objective To observe the value of CT angiography(CTA)radiomics for evaluating the risk of basilar tip aneurysm(BTA)rupture.Methods Totally 133 BTA patients were retrospectively enrolled and divided into ruptured group(n=39)and unruptured group(n=94)based on BT A ruptured or not,also divided into training set(n=93)and test set(n=40)at the ratio of 7∶3.CTA radiomics features of BTA were extracted,the best radiomics features were screened,and the radiomics score(Radscore)was calculated.Then machine learning(ML)models were established with logistic regression(LR),random forest(RF),decision tree(DT)and K-nearest neighbor(KNN)algorithms,respectively.Radscore model was also established,and finally a combined model was constructed based on clinical data,routine imaging findings and Radscore.The efficacy of the above models for evaluating the risk of BTA rupture were comparatively analyzed.Results Finally 4 radiomics features of BTA were obtained.The area under the curve(AUC)of LR,RF,DT and KNN radiomics models for differentiating ruptured and unruptured BTA in training set was 0.770,0.816,0.817 and 0.795,respectively,while that in test set was 0.795,0.793,0.786 and 0.824,respectively,both being not significant different(both P＞0.05).Patient's gender,alcohol consumption history,BTA morphology and Radscore were all independent impact factors of BT A rupture(all P＜0.05),which were used to establish a clinical-routine imaging model.For all 133 cases,AUC of the combination model for differentiating ruptured and unruptured BTA was 0.877,of Radscore model was 0.775,while that of clinical-routine imaging model was 0.677,of the former was significantly higher than of the last two(both P＜0.05).Conclusion CTA radiomics was helpful for evaluating the risk of BTA rupture.Combining with clinical data and routine imaging findings could further improve the value of CTA radiomics.