Resolving heterogeneity in schizophrenia, bipolar I disorder, and attention-deficit/hyperactivity disorder through individualized structural covariance network analysis.

Disruptions in large-scale brain connectivity are hypothesized to contribute to psychiatric disorders, including schizophrenia, bipolar I disorder, and attention-deficit/hyperactivity disorder. However, high inter-individual variation among patients with psychiatric disorders hinders achievement of unified findings. To this end, we adopted a newly proposed method to resolve heterogeneity of differential structural covariance network in schizophrenia, bipolar I disorder, and attention-deficit/hyperactivity disorder. This method could infer individualized structural covariance aberrance by assessing the deviation from healthy controls. T1-weighted anatomical images of 114 patients with psychiatric disorders (schizophrenia: n = 37; bipolar I disorder: n = 37; attention-deficit/hyperactivity disorder: n = 37) and 110 healthy controls were analyzed to obtain individualized differential structural covariance network. Patients exhibited tremendous heterogeneity in profiles of individualized differential structural covariance network. Despite notable heterogeneity, patients with the same disorder shared altered edges at network level. Moreover, individualized differential structural covariance network uncovered two distinct psychiatric subtypes with opposite differences in structural covariance edges, that were otherwise obscured when patients were merged, compared with healthy controls. These results provide new insights into heterogeneity and have implications for the nosology in psychiatric disorders.

HBX suppresses PTEN to promote the malignant progression of hepatocellular carcinoma through mi-R155 activation.

INTRODUCTION AND OBJECTIVES: Hepatocellular carcinoma (HCC) is one of the most common and fatal tumors in the world, ranking third in cancer-related mortality. Chronic HBV infection is one of the major risk factors for hepatocellular carcinoma in China, Korea, and Sub-Saharan Africa. The HBx protein encoded by the X gene of HBV is a broadly regulated protein involved in transcriptional activation, epigenetics, apoptosis, DNA repair, and other regulatory processes. This study aimed to investigate the mechanism of HBx regulation of miR-155 and PTEN (Phosphatase and tensin homolog deleted on chromosome ten) in HBV-HCC. METHODS: Exosomal miR-155 quantity was analyzed by sampling serum exosomes of patients with hepatocellular carcinoma and normal subjects. The analysis was divided into different subgroups according to HBV positivity or negativity. At the cellular level, the biological roles of HBX, microRNA-155 and PTEN on hepatocellular carcinoma cells and their regulatory relationships with each other were verified. RESULTS: MicroRNA-155 and PTEN expression in HBV-positive HCC liver cancer tissues were negatively correlated, and HBX and miR-155 expression were positively correlated; microRNA-155 could target and inhibit PTEN expression, thereby promoting hepatocellular carcinoma cell activity, inhibiting apoptosis, and promoting invasion and migration; HBX could upregulate microRNA-155 thereby inhibit PTEN to promote malignant transformation of hepatocellular carcinoma. CONCLUSIONS: HBX could promote malignant transformation of hepatocellular carcinoma cells by upregulating microRNA-155 expression and thereby inhibiting the PTEN/PI3K-AKT pathway. Blocking miR-155 expression could attenuate the proliferation-promoting and invasive effects of HBX.

Individualized gray matter morphological abnormalities uncover two robust transdiagnostic biotypes.

Psychiatric disorders exhibit a shared neuropathology, yet the diverse presentations among patients necessitate the identification of transdiagnostic subtypes to enhance diagnostic and treatment strategies. This study aims to unveil potential transdiagnostic subtypes based on personalized gray matter morphological abnormalities. A total of 496 patients with psychiatric disorders and 255 healthy controls (HCs) from three distinct datasets (one for discovery and two for validation) were enrolled. Individualized gray matter morphological abnormalities were determined using normative modeling to identify transdiagnostic subtypes. In the discovery dataset, two transdiagnostic subtypes with contrasting patterns of structural abnormalities compared to HCs were identified. Reproducibility and generalizability analyses demonstrated that these subtypes could be generalized to new patients and even to new disorders in the validation datasets. These subtypes were characterized by distinct disease epicenters. The gray matter abnormal pattern in subtype 1 was mainly linked to excitatory receptors, whereas subtype 2 showed a predominant association with inhibitory receptors. Furthermore, we observed that the gray matter abnormal pattern in subtype 2 was correlated with transcriptional profiles of inflammation-related genes, while subtype 1 did not show this association. Our findings reveal two robust transdiagnostic biotypes, offering novel insights into psychiatric nosology.

Uncovering the effect and mechanism of Jiawei Xiaoyao Wan in treating breast cancer complicated with depression based on network pharmacology and experimental analysis.

BACKGROUND: Depression is a clinically common co-morbidity in breast cancer cases that brings negative outcomes on quality of life and potentially survival. Jiawei Xiaoyao Wan (JXW) is widely used in treating breast cancer and depressive disorder, but its potential pharmacological mechanisms remain elusive. PURPOSE: We aimed to explore the dual therapeutic effects and mechanisms of JXW acting on breast cancer complicated with depression (BCCD) by network pharmacology and in vivo experimental verification. METHODS: The chemical constituents of JXW were characterized using liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (LC-Q-TOF/MS). The targets related to constituents of JXW were predicted by the TCMSP and Swiss Target Prediction databases, and targets of breast cancer and depression were screened by the GeneCards and OMIM databases. Gene Ontology annotation and KEGG enrichment analysis were performed with the DAVID database. Ultimately, a BCCD mouse model induced by chronic restraint stress (CRS) was used to explore therapeutic effects and mechanisms of JXW against BCCD. The efficacy of JXW in the treatment of BCCD was evaluated based on behavioral tests, tumor volume and weight, and pathological examination. Additionally, the underlying mechanisms were explored by measuring the levels of neurotransmitter and inflammatory factors, as well as detecting the expression of genes or proteins associated with candidate targets and the Janus kinase/signal transducer and activator of transcription (JAK/STAT) signaling pathway through RT-PCR, western blotting, and immunohistochemistry. RESULTS: Totals of 108 components were identified in JXW using LC-Q-TOF/MS. By network pharmacology analysis, 714 compound targets of JXW, 2114 breast cancer targets, 1122 depression targets, and 98 overlapping proteins were obtained. PPI network and KEGG analysis implied that TP53, ESR1, VEGFA, AKT1, IL6, TNF, EGFR and the JAK/STAT pathway might be the potential targets of JXW in treating BCCD. In vivo experiments indicated that JXW significantly ameliorated depressive symptoms and tumor progression in BCCD mice. Further mechanistic studies showed that JXW could reduce the levels of inflammatory factors, increase 5-HT level, and regulate mRNA expression levels of TP53, VEGFA, AKT1, IL6, TNF, and EGFR targets. Moreover, the expression levels of proteins related to the JAK2/STAT3 signaling pathway in BCCD mice were effectively regulated by JXW. CONCLUSION: JXW exerts dual therapeutic effects in a BCCD mouse via multiple targets. The underlying mechanisms might be associated with regulating the levels of neurotransmitter and inflammatory factors; more importantly, the JAK2/STAT3 pathway plays a significant role in this process.

Optimal surgical procedure for treating early-stage adenoid cystic carcinoma of the breast.

To explore the superiority of breast conservation surgery (BCS) to mastectomy in treating early-stage adenoid cystic carcinoma of the breast (BACC). Patients with surgically treated stage I/II BACC were enrolled between 2000 and 2019 in the SEER database; they were divided into the BCS and mastectomy groups. Overall survival (OS) and disease-specific survival (DSS) were compared between the two groups, and Cox hazard regression models were used to determine the independent predictors. Of the 583 patients in the study, 386 were included in the BCS group. The 10-year OS rates for the BCS and mastectomy groups were 78% (95% CI: 74-82%) and 76% (95% CI: 70-82%), respectively, but the difference was not statistically significant (p = 0.968). The 10-year DSS rates for the BCS and mastectomy groups were 95% (95% CI: 93-97%) and 89% (95% CI: 85-93%), respectively, and the difference was statistically significant (p = 0.002). Pathological examination of regional lymph nodes and adjuvant treatment were not associated with improved OS or DSS, but age, disease grade, and lymph node metastasis were independent prognostic factors. For stage I/II BACC, BCS can achieve more satisfactory 10-year OS and DSS than mastectomy.

Higher brain structural heterogeneity in schizophrenia.

As a highly heterogeneous disorder, schizophrenia shows notable interindividual variation in clinical manifestations. On that account, an increasing number of studies begin to examine the interindividual variability in neuroimaging characterization in schizophrenia. However, whether schizophrenia demonstrates higher interindividual morphological variability than health controls (HCs) remains unknown. T1-weighted anatomical images were obtained from patients with schizophrenia (n = 61) and matched HCs (n = 73). For each subject, voxel-wise gray matter volume was obtained using voxel-based morphometry analysis. We first inquired whether patients with schizophrenia showed higher interindividual structural variation than HCs using the person based similarity index (PBSI). Then, we examined differences of voxel-wise morphological coefficient of variation (CV) between schizophrenia and HCs. To further associate identified regions showing higher variability in schizophrenia with cognitive/functional processes, functional annotation was performed. Patients with schizophrenia exhibited lower PBSIs than matched HCs, suggesting higher interindividual morphological variability in schizophrenia. The following results showed that patients with schizophrenia exhibited higher CVs than HCs in distributed brain regions including the striatum, hippocampus, thalamus, parahippocampa gyrus, frontal gyrus, and amygdala. Brain regions showing higher CVs in schizophrenia were significantly implicated in affective, incentive and reward related terms. These results provide a new insight into the high clinical heterogeneity and facilitate personalized diagnose and treatment in schizophrenia.

Establishing a prediction model of axillary nodal burden based on the combination of CT and ultrasound findings and the clinicopathological features in patients with early-stage breast cancer.

BACKGROUND: Axillary lymph node (ALN) management in early-stage breast cancer (ESBC) patients has become less invasive during the past decades. Here, we tried to explore whether high nodal burden (HNB) in ESBC patients could be predicted preoperatively, so as to avoid unnecessary sentinel lymph node biopsy (SLNB). METHODS: The clinicopathological and imaging data of patients with early invasive breast cancer (cT1-2N0M0) were analyzed retrospectively. Univariate and multivariate analyses were performed for the risk factors of axillary HNB in ESBC patients, and a risk prediction model of HNB was established. RESULTS: HNB was identified in 105 (8.0%) of 1,300 ESBC patients. Multivariate analysis showed that estrogen receptors (ER) status, human epidermal growth factor receptor 2 (HER2) status, number of abnormal lymph nodes (LNs) on computed tomography (CT), and axillary score on ultrasound (US) were the risk factors of HNB (all P<0.05). The area under the receiver operating characteristic (ROC) curve in the prediction model was 0.914, with the sensitivity being 85.7% and the specificity being 82.4%. The calibration curve showed that the prediction model had good performance. CONCLUSIONS: As a valuable tool for predicting HNB in ESBC patients, this newly established model helps clinicians to make reasonable axillary surgery decisions and thus avoid unnecessary SLNB.

Exosomal microRNA-155 as a biomarker for hepatic fibrosis diagnosis and progression.

BACKGROUND: Pathological examination of liver biopsies remains the gold standard for evaluating the stage of hepatic fibrosis, which are a number of disadvantages associated with biopsy. The aim of the present study was to investigate the potential of exosomal microRNA (miR)-155 as a non-invasive biomarker for the diagnosis and progression of hepatic fibrosis. METHODS: Exosomal miR-155 quantity was analyzed by sampling serum exosomes of patients with hepatic fibrosis and a hepatic fibrosis rat model. A total of 94 patients were divided into three groups based on Child-Pugh rating. Additionally, 30 patients with primary liver fibrosis who underwent liver transplantation were divided into the low miR-155 expression group and the high expression group; 56 rats were divided into 7 groups (n=8, 0, 2, 4, 6, 8, 10, and 12 weeks). Rats in every group were intravenously injected with CCl4 (3% vol/vol in olive oil; 0.3 mL/100 g body weight) twice weekly to produce different degrees of liver necrosis and liver fibrosis. RESULTS: Exosomal miR-155 was found to be closely associated with the progression of cirrhosis and clinical prognostic indicators of cirrhosis. Exosomal miR-155 gradually increased with the severity of hepatic necrosis and fibrosis. CONCLUSIONS: The findings of the present study indicate that exosomal miR-155 can act as a non-invasive biomarker for the diagnosis and progression of hepatic fibrosis.

Exosomal MiR-1290 Promotes Angiogenesis of Hepatocellular Carcinoma via Targeting SMEK1.

Hepatocellular carcinoma (HCC), the most common primary liver cancer, relies on the formation of new blood vessel for growth and frequent intrahepatic and extrahepatic metastasis. Therefore, it is important to explore the underlying molecular mechanisms of tumor angiogenesis of HCC. Recently, microRNAs have been shown to modulate angiogenic processes by modulating the expression of critical angiogenic factors. However, the potential roles of tumor-derived exosomal microRNAs in regulating tumor angiogenesis remain to be elucidated. In this study, our miRNome sequencing demonstrated that miR-1290 was overexpressed in HCC patient serum-derived exosomes, and we found that delivery of miR-1290 into human endothelial cells enhanced their angiogenic ability. Our results further revealed that SMEK1 is a direct target of miR-1290 in endothelial cells. MiR-1290 exerted its proangiogenic function, at least in part, by alleviating the inhibition of VEGFR2 phosphorylation done by SMEK1. Collectively, our findings provide evidence that miR-1290 is overexpressed in HCC and promotes tumor angiogenesis via exosomal secretion, implicating its potential role as a therapeutic target for HCC.

Comparison between surgery plus radiotherapy and radiotherapy alone in treating breast cancer patients with ipsilateral supraclavicular lymph node metastasis.

BACKGROUND: Ipsilateral supraclavicular lymph node metastasis (ISLM) with breast cancer patients has always been a hard problem for breast surgery. It is generally believed that radiotherapy can benefit the survival of patients, but whether local surgical resection is needed or not is controversial. The study aims to compare the efficacy between supraclavicular lymph node (SLN) dissection combined with radiotherapy and radiotherapy alone in the treatment of breast cancer with ISLM. METHODS: A retrospective analysis was performed using 122 cases of breast cancer with ISLM but without distant metastasis. Among them, 14 cases were eliminated due to insufficient data. The 108 remaining cases were divided into 2 groups based on different treatment proposals for metastatic SLNs. The groups were dissection plus radiotherapy (surgery group), and simple radiotherapy (radiotherapy group). RESULTS: For the 108 patients, the overall 5-year disease-free survival (DFS) and overall survival (OS) rates were 30.6% and 67.8%, respectively. In the surgery group, distant metastases occurred in 41 patients, and the 5-year DFS was 34.3%; in the radiotherapy group, 18 patients had distant metastases, and the 5-year DFS was 26.1%; the difference was not statistically significant (P>0.05). In the surgery group, 11 patients died, and the 5-year OS rate was 67.9%; in the radiotherapy group, 6 patients died, and the 5-year OS rate was 67.5%; the difference was not statistically significant (P>0.05). CONCLUSIONS: The dissection of SLN combined with radiotherapy and radiotherapy alone had similar effects on the survival rates in breast cancer patients with ISLM. The local control in the surgery group was better than that in the radiotherapy group. The status of estrogen receptors (ER) and the number of axillary lymph node metastases were independent influencing factors of DFS. The ER status is an independent factor affecting the OS rate of patients.