Multidimensional analysis to elucidate the possible mechanism of bone metastasis in breast cancer.

BACKGROUND: Breast cancer (BC) patients tend to suffer from distant metastasis, especially bone metastasis. METHODS: All the analysis based on open-accessed data was performed in R software, dependent on multiple algorithms and packages. The RNA levels of specific genes were detected using quantitative Real-time PCR as a method of detecting the RNA levels. To assess the ability of BC cells to proliferate, we utilized the CCK8 test, colony formation, and the 5-Ethynyl-20-deoxyuridine assay. BC cells were evaluated for invasion and migration by using Transwell assays and wound healing assays. RESULTS: In our study, we identified the molecules involved in BC bone metastasis based on the data from multiple BC cohorts. Then, we comprehensively investigated the effect pattern and underlying biological role of these molecules. We found that in the identified molecules, the EMP1, ACKR3, ITGA10, MMP13, COL11A1, and THY1 were significantly correlated with patient prognosis and mainly expressed in CAFs. Therefore, we explored the CAFs in the BC microenvironment. Results showed that CAFs could activate multiple carcinogenic pathways and most of these pathways play an important role in cancer metastasis. Meanwhile, we noticed the interaction between CAFs and malignant, endothelial, and M2 macrophage cells. Moreover, we found that CAFs could induce the remodeling of the BC microenvironment and promote the malignant behavior of BC cells. Then, we identified MMP13 for further analysis. It was found that MMP13 can enhance the malignant phenotype of BC cells. Meanwhile, biological enrichment and immune infiltration analysis were conducted to present the effect pattern of MMP13 in BC. CONCLUSIONS: Our result can improve the understanding of researchers on the underlying mechanisms of BC bone metastasis.

Heritability of tea drinking and its relationship with cigarette smoking in the Chinese male adult twins.

The aims of this study are to estimate the contributions of genetic factors to the variation of tea drinking and cigarette smoking, to examine the roles of genetic factors in their correlation and further to investigate underlying causation between them. We included 11 625 male twin pairs from the Chinese National Twin Registry (CNTR). Bivariate genetic modelling was fitted to explore the genetic influences on tea drinking, cigarette smoking and their correlation. Inference about Causation through Examination of FAmiliaL CONfounding (ICE FALCON) was further used to explore the causal relationship between them. We found that genetic factors explained 17% and 23% of the variation in tea drinking and cigarette smoking, respectively. A low phenotypic association between them was reported (rph = 0.21, 95% confidence interval [CI]: [0.19, 0.24]), which was partly attributed to common genetic factors (rA = 0.45, 95% CI [0.19, 1.00]). In the ICE FALCON analysis with current smoking as the exposure, tea drinking was associated with his own (ßself = 0.39, 95% CI [0.23, 0.55]) and his co-twin's smoking status (ßco-twin = 0.25, 95% CI [0.10, 0.41]). Their association attenuated with borderline significance conditioning on his own smoking status (p = 0.045), indicating a suggestive causal effect of smoking status on tea drinking. On the contrary, when we used tea drinking as the predictor, we found familial confounding between them only. In conclusion, both tea drinking and cigarette smoking were influenced by genetic factors, and their correlation was partly explained by common genetic factors. In addition, our finding suggests that familial confounders account for the relationship between tea drinking and cigarette smoking. And current smoking might have a causal effect on weekly tea drinking, but not vice versa.

Prevalence and severity of behavioral and psychological symptoms of dementia (BPSD) in community dwelling Chinese: findings from the Shanghai three districts study.

OBJECTIVES: Studies of the prevalence and risk factors for behavioral and psychological symptoms of dementia (BPSD) have primarily been conducted in nursing home and clinic populations. Few population-based studies have been conducted in community-living persons with dementia. METHODS: In this cross-sectional study, persons aged 65 and above who were living in the community were screened for dementia with the Chinese version of Mini-Mental State Examination (CMMSE) and Ability of Daily Living (ADL-14) scale. Participants with a diagnosis of dementia according to DSM-IV criteria made by trained neuropsychiatrists s were with the Neuropsychiatric Inventory assessed for BPSD by informant interview. RESULTS: Among 1271 persons with dementia, 50.1% had at least one BPSD. Sleep disturbance was the most common symptom (21.9%), followed by irritability (19.6%), and apathy (15.7%). About 40% (N = 501) of these problems were clinically significant (NPI score > 4). The NPI score was significantly associated with the CMMSE score, ADL score and education. CONCLUSION: BPSD are common among community living Chinese people with dementia, but the relatively lower prevalence rate and different pattern of symptoms from those reported in the USA, UK and Japan suggest the possible influence of cultural background and psychosocial environment.

Protocadherin 20 promotes ferroptosis by suppressing the expression of Sirtuin 1 and promoting the acetylation of nuclear factor erythroid 2-related factor 2 in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is characterized by a poor prognosis. Our previous work suggested that Protocadherin 20 (PCDH20) promoted ferroptosis in HCC. Nevertheless, the underlying mechanism remains elusive. Recently, we found that both the mRNA and protein levels of PCDH20 were upregulated in erastin- or sorafenib-treated HCC cells. Meanwhile, data showed that Sirtuin 1 (SIRT1) was markedly downregulated in PCDH20-SNU-449 cells. Additionally, overexpression of PCDH20 or erastin-treated cells dramatically decreased cell viability and colony-forming capacity of HCC cells, whereas blocking PCDH20 reversed these effects. Moreover, PCDH20 overexpression or treatment with erastin significantly downregulated the expression of SIRT1, Solute carrier family 7 member 11 (SLC7A11), as well as the ferroptosis-related protein glutathione peroxidase 4 (GPX4) and glutathione (GSH), while elevated malondialdehyde (MDA), 2'- 7'-dichlorofluorescein (DCF) and intercellular iron levels. Conversely, knockdown of PCDH20 upregulated SIRT1 and SLC7A11. Immunoprecipitation assay demonstrated that PCDH20 or erastin increased the amount of acetylated nuclear factor erythroid 2-related factor-2 (NRF2). This reducing effect of NRF2 deacetylation by PCDH20 was counteracted by restoring the expression of SIRT1. In addition, PCDH20 lowered the levels of GPX4, GSH, and cell viability, as well as resulted in an elevation in intercellular iron level, MDA, and DCF. These effects were reversed by SIRT1 expression. Besides, PCDH20 could promote ferroptosis by inhibiting SIRT1 from deacetylating NRF2, which led to the downregulation of SLC7A11, GPX4, and GSH both in vivo and in vitro. Our results signals that PCDH20 promotes ferroptosis by suppressing the expression of SIRT1 and thus, promoting the acetylation of NRF2in HCC.

The predictive accuracy of CT radiomics combined with machine learning in predicting the invasiveness of small nodular lung adenocarcinoma.

Background: Conventionally, the judgment of whether small pulmonary nodules are invasive is mainly made by thoracic surgeons according to the chest computed tomography (CT) features of patients. However, there are limits to how much useful information can be obtained from this approach. A large number of feature information was extracted from CT images by CT radiomics. The machine learning algorithm was used to construct models based on radiomic characteristics to predict the invasiveness of lung adenocarcinoma (LUAD) with a good prediction accuracy. Methods: A total of 416 patients with pathologically confirmed preinvasive lesions and LUAD after video-assisted thoracoscopic surgery (VATS) in the Department of Thoracic Surgery of the First People's Hospital of Yunnan Province from February 2020 to February 2022 were retrospectively analyzed. According to random classification, patients were divided into 2 groups. The RadCloud platform was used to extract radiomics features, and the most relevant radiomics features were selected by continuous dimension reduction method. Then, 6 machine learning algorithms were used to establish and verify the prediction model of small lung nodular adenocarcinoma invasiveness. Receiver operating characteristic (ROC) curve and area under curve (AUC) were used to evaluate the predictive performance. Results: There were 78 cases of pre-invasive lesions and 226 cases of invasive lesions in the training group, and 34 cases of pre-invasive lesions and 78 cases of invasive lesions in the validation group. In the training group, the AUC values of the 6 models were all more than 0.914, the 95% confidence interval (CI) was 0.857-1.00, the sensitivity was equal or more than 0.87, and the specificity was equal or more than 0.85. In the validation group, the AUC values of the 6 models were all equal or more than 0.732, the 95% CI was 0.651-1.00, the sensitivity was equal or more than 0.7, and the specificity was more than 0.77. Conclusions: Machine learning algorithms were used to construct models to predict the invasiveness of small nodular LUAD based on radiomics features, which it could provide more evidence for doctors to make diagnoses and more personalized treatment plans for patients.

Genome-wide associations between alcohol consumption and blood DNA methylation: evidence from twin study.

Aim: Alcohol intake alters DNA methylation profiles and methylation might mediate the association between alcohol and disease, but limited number of positive CpG sites repeatedly replicated. Materials & methods: In total, 57 monozygotic (MZ) twin pairs discordant for alcohol drinking from the Chinese National Twin Registry and 158 MZ and dizygotic twin pairs in the Swedish Adoption/Twin Study of Aging were evaluated. DNA methylation was detected using the Infinium HumanMethylation450 BeadChip. Results: Among candidate CpG sites, cg07326074 was significantly correlated with drinking after adjusting for covariates in MZ twins in both datasets but not in the entire sample or dizygotic twins. Conclusion: The hypermethylation of cg07326074, located in the tumor-promoting gene C16orf59, was associated with alcohol consumption.

Kinetic characterization of an intestinal trefoil factor receptor.

OBJECTIVE: To determine whether intestinal epithelial cells have a receptor for intestinal trefoil factor and characterize receptor-ligand binding kinetics. METHODS: Radioligand binding assays were performed to characterize the binding kinetics between [(125)I]-labeled ITF and IEC-6, HT-29, Caco2 and HaCaT cells. The K d, Bmax and other kinetic variables describing the interaction between ITF and its potential receptors were determined. RESULTS: Radioligand binding assays performed at 4 °C showed that the K d value for the association between [(125)I]-ITF and IEC-6, HT-29, and Caco2 cells were 1.99 ± 0.12 × 10(-9) M, 3.89 ± 0.42 × 10(-9) M, and 2.04 ± 0.17 × 10(-9) M, respectively. Bmax values were 1.17 ± 0.04 × 10(11), 3.97 ± 0.29 × 10(11), and 2.03 ± 0.08 × 10(11) sites/cell, respectively. The K i values for the interaction between IEC-6, HT-29, and Caco2 cells and non-labeled ITF were 20.98 ± 0.57 nM, 36.87 ± 3.35 nM, and 21.38 ± 0.93 nM, respectively, and the IC50 values were 25.21 ± 0.39 nM, 40.68 ± 0.27 nM, and 23.61 ± 0.25 nM, respectively. Radioligand binding kinetic results showed the association rate constants (k +1) for IEC-6, HT-29, and Caco2 cells were 0.22 ± 0.04 min(-1), 0.29 ± 0.04 min(-1), and 0.26 ± 0.05 min(-1), respectively, and the dissociation rate constants (k -1) were 0.06 ± 0.02 min(-1), 0.03 ± 0.01 min(-1), and 0.04 ± 0.01 min(-1), respectively. For the HaCaT cells, the K d was 4.86 ± 0.28 × 10(-8) M and B max was 5.81 ± 0.15 × 10(8) sites/cell, the very low specific binding between [(125)I]-ITF and these cells made it impossible to calculate binding kinetic parameters. CONCLUSIONS: An ITF-specific receptor appears to be present on the three types of intestinal epithelial cells (IEC-6, HT-29, and Caco-2), and there may be no ITF receptor on epidermal cells.