Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

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 construct a clinical prediction scale for focal cortical dysplasia (FCD)type Ⅱ in the malformation of cortical development (MCD) disease spectrum in children.Methods:A case-sectional study.From January 2014 to June 2019, patients who underwent surgery at the Pediatric Epilepsy Center of Peking University First Hospital and were pathologically diagnosed with MCD after surgery were enrolled and randomly divided into the training set and the validation set using random numbering.Clinical, electrophysiological, and imaging data of patients in the training set were analyzed.Variables that could predict FCD type Ⅱ were screened out using a Logistic regression model, and a rating scale was constructed.The diagnostic efficiency of the scale was validated in the validation set to determine the optimum cut-off value, and a consistency test was performed.Results:A total of 381 patients were enrolled in the study, with 260 in the training set and 121 in the validation set.Five clinical factors that exhibited a significant correlation with FCD type Ⅱ were identified in the training set through the logistic regression model: (1) age of seizure onset (<24 months); (2) lesion involving the frontal lobe; (3) epileptic spasms; (4) family history of epilepsy; (5) hippocampal atrophy ± signal change.Based on these 5 variables, the FCD type Ⅱ prediction scale was developed and validated in the validation set with an area under the curve of 0.732.The optimum cut-off value for the prediction scale was 1, at which point the Youden index was 0.384.The scale′s positive predictive value was 0.836, and the negative predictive value was 0.500.The diagnostic consistency between the pathological diagnosis and the FCD type Ⅱ prediction scale was acceptable (Kappa value=0.351), and there was no statistically significant difference between the two diagnostic methods ( P value of the McNemar test=0.065). Conclusions:The FCD type Ⅱ prediction scale has clinical practicability.The application of this scale to predict the pathological type of MCD before operation can help doctors choose the appropriate surgical strategy.

By using thioflavin T(ThT)as displacement-based fluorescent probes,three kinds of aptasensors were constructed for rapid detection of three kinds of small molecules such as ochratoxin A(OTA),aflatoxin B1(AFB1)and adenosine.In the absence of target molecule,ThT bound with the aptamer to form an aptamer-ThT complex and exhibited a significant fluorescence response.Upon the addition of target molecule,because of the higher affinity between target and aptamer than that between ThT and the aptamer,ThT was displaced by the target molecule from the aptamer-ThT complex,resulting in weakened fluorescence signal.Based on this principle,the target molecule could be detected quantitatively.Further study through circular dichroism spectra showed that there was no significant change in the conformation of the aptamer after addition of ThT or target molecules.The stoichiometric ratios of ThT to OTAapt,AFB1apt and Adeapt measured through the method of equimolar continuous variation was 1∶1,1∶1 and 2∶1,respectively,and their dissociation constants were all larger than those between the target molecule and its aptamer.Therefore,the principle of this detection method was the displacement of fluorescent probe(ThT)in aptamer-ThT complex by target molecule,resulting in decrease of fluorescence intensity.Under optimal experimental conditions,the limits of detection(LODs)were 0.8 nmol/L for OTA,1.3 nmol/L for AFB1,and 0.10 μmol/L for adenosine,respectively.This method was label-free,simple to operate,with low cost,good selectivity and high sensitivity.The developed assay kit based on this method could be used for actual sample detection.

ObjectiveTo screen out the transcriptomes related to the intervention of Wuzi Yanzongwan on the spermatogenic function of semi-castrated male mice， and to explore its potential mechanism in the intervention of the progress of low spermatogenic function. MethodBalb/c mice were randomly divided into sham-operated group， model group， testosterone propionate group（0.2 mg·kg^-1·d^-1， intramuscular injection） and Wuzi Yanzongwan group（1.56 g·kg^-1·d^-1， intragastric administration） according to body weight， with 12 mice in each group. The right testicle and epididymis were extracted from the model group and the drug administration group to construct the semi-castrated model of low spermatogenic function， while the fur and the right scrotum of the sham-operated group were only cut and immediately sterilized and sutured. At the end of the intervention， hematoxylin-eosin（HE） staining was used to observe the histopathology of testis， enzyme-linked immunosorbent assay（ELISA） was used to detect the levels of serum testosterone（T）， luteinizing hormone（LH） and follicle stimulating hormone（FSH）. The sperm count and motility of epididymis were measured by automatic sperm detector of small animal. Transcriptomic microarray technology was used to detect the mRNA expression level of testicular tissue in each group， the transcriptome of genes related to the regulation of Wuzi Yanzongwan was screened， and three mRNAs were selected for Real-time fluorescence quantitative polymerase chain reaction（Real-time PCR） to verify the transcriptome data. Through the annotation analysis of Gene Ontology（GO） and the signaling pathway analysis of Kyoto Encyclopedia of Genes and Genomes（KEGG）， the related functions of drugs regulating transcriptome were analyzed. ResultCompared with the sham-operated group， the testicular tissue of mice in the model group showed spermatogenic injury， contraction and vacuolization of the seminiferous tubules， reduction of spermatogenic cells at all levels， widening of the interstitial space， obstruction of spermatogonial cell development and other morphological abnormalities， and serum T significantly decreased， LH significantly increased（P<0.01）， and FSH elevated but no statistically significant difference， the count and vitality of epididymal sperm significantly decreased（P<0.01）. There were 882 differentially expressed mRNAs in the testicular tissues， of which 565 were up-regulated and 317 were down-regulated. Cluster analysis showed that these differentially expressed mRNA could effectively distinguish between the sham-operated group and the model group. Compared with the model group， the damage to testicular tissue in the Wuzi Yanzongwan group was reduced， the structure of the seminiferous tubules was intact， vacuolization was reduced， and the number of spermatogenic cells at all levels was significantly increased and arranged tightly. The serum T significantly increased， LH significantly decreased（P<0.01）， and FSH decreased but the difference was not statistically significant. The count and vitality of sperm in the epididymis were significantly increased（P<0.01）. Moreover， Wuzi Yanzongwan could regulate 159 mRNA levels in the testes of semi-castrated mice， of which 32 were up-regulated and 127 were down-regulated， and the data of the transcriptome assay was verified to be reliable by Real-time PCR. GO and KEGG analysis showed that the transcriptome functions regulated by Wuzi Yanzongwan were involved in the whole cell cycle process of sperm development such as sex hormone production of interstitial cells in testis， renewal， differentiation， metabolism， apoptosis and signal transduction of spermatogenic cells， and were closely related to the biological behaviors of signaling pathways such as spermatogenic stem cell function， endoplasmic reticulum protein processing and metabolic program. ConclusionWuzi Yanzongwan can effectively improve the low spermatogenic function of semi-castrated male mice， and its mechanism may be related to the regulation of testicular transcriptional regulatory network， the synthesis of sex hormones in testicular interstitial cells， the function of spermatogenic stem cells， the whole cell cycle process of spermatogenesis， as well as the expression of endoplasmic reticulum protein processing and metabolic program related genes transcription.

Objective:To establish a sensing technology of catalytic hairpin self-assembly (CHA) combining with clustered interspaced short palindromic repeats with associated protein 12a (CRISPR-Cas12a) for the detection of exosomal microRNA-21 (miR-21), and to analyze the performance.Methods:Eight patients diagnosed as breast cancer in the First Affiliated Hospital of the Army Military Medical University from September to October 2023 were selected as the breast cancer group; 8 healthy individuals who underwent physical examinations during the same period were selected as the healthy control group. Plasma exosomes and their miR-21 were extracted using the kit. DNA hairpins and CRISPR RNA sequences were designed for miR-21 sequences. The feasibility of detection technology was validated using polyacrylamide gel electrophoresis and fluorescence spectrophotometer. Hairpins concentration, CHA reaction time, Cas12a protein concentration and Cas12a protein reaction time were further optimized. On this basis, miR-21 was detected at different concentrations (0, 0.1, 0.5, 1.0, 2.5, 5.0, 7.5, 10.0 nmol/L), and fluorescence intensity was collected for unary linear regression analysis to evaluate methodological sensitivity; meanwhile, different types of miRNAs (miR-31, miR-26a, miR-192, miR-25-3p) and blank controls were detected to evaluate methodological specificity. A case-control study was conducted to detect the relative expression level of plasma exosomal miR-21 in breast cancer group and healthy control group using this detection technology and reverse transcription PCR (RT-PCR) to evaluate the detection ability of clinical samples.Results:A detection method for exosomal miR-21 was established using CHA combining with CRISPR-Cas12a. The concentration of miR-21 detected by this method showed a good linear relationship with fluorescence intensity (the linear correlation coefficient 0.966 7), and the linear detection range was 0.1-10.0 nmol/L, and the detection limit was 87.81 pmol/L. The fluorescence intensity of miR-21 was 450.27±23.96 which was higher than that of miR-31, miR-26a, miR-192, miR-25-3p, and the blank group (98.89±7.35, 98.12±2.07, 98.93±2.45, 96.66±2.45, 82.93±3.54, respectively), with statistical significance ( P<0.001). The results of RT-PCR showed that the relative expression levels of plasma exosomal miR-21 in the breast cancer group were higher than that in healthy control group (1.83±0.27 vs 0.93±0.12, P<0.001); CHA combining with CRISPR-Cas12a detection technology showed that the relative expression levels of plasma exosomal miR-21 in breast cancer group were higher than that in healthy control group (1.94±0.21 vs 0.98±0.08, P<0.001); There was no significant difference in the relative expression levels of plasma exosomal miR-21 between CHA combining with CRISPR-Cas12a detection technology and reverse transcription PCR in breast cancer group and healthy control group ( P>0.05). Conclusion:In this study, a highly sensitive and specific sensing technology of CHA combining with CRISPR-Cas12a for exosomal miR-21 was established. The results of detecting plasma exosomal miR-21 were consistent with the results of reverse transcription PCR, which can be used for screening of breast cancer patients.