Body mass index influence on short-term perioperative results in robotic-assisted laparoscopic partial nephrectomy: a comprehensive systematic review and meta-analysis.

The objective of this meta-analysis was to evaluate the perioperative outcomes of robotic-assisted partial nephrectomy (RAPN) in obese and non-obese patients. Through March 2024, we executed an exhaustive search in internationally acclaimed databases such as PubMed, Cochrane Library, and Web of Science, limiting our scope to publications in English. We discarded review articles, protocols lacking empirical data, conference abstracts, and materials not pertinent to our research. Our analytical framework utilized the Cochran-Mantel-Haenszel method alongside a random-effects model for evaluating dichotomous variables' mean differences, expressed through odds ratios (OR) with 95% confidence intervals (CI). We established statistical significance at a P value below 0.05. The comprehensive meta-analysis incorporated data from eight cohort studies, collectively assessing 3657 patients. Findings indicated that, relative to individuals of normal weight, those in the obese category had prolonged operative durations (WMD - 25.68 95% CI - 42.07 to - 9.29; P = 0.002), increased estimated blood loss (WMD - 48.55ml, 95% CI - 78.27 to - 18.83; P = 0.001), and longer warm ischemia times (WMD - 1.11, 95% CI - 2.03 to - 0.19; P = 0.02). However, no significant disparities were observed in hospital stay duration, intraoperative and total postoperative complications, severe postoperative complications, or alterations in postoperative estimated glomerular filtration rate (eGFR). Our findings conclude that robotic-assisted partial nephrectomy (RAPN) represents a viable and safe surgical approach for obese patients. This assertion is backed by the observation that crucial metrics, including postoperative renal function alterations, surgical complication rates, and hospitalization duration, exhibit no substantial variances when juxtaposed with counterparts of normal weight.

A systematic review and meta-analysis of short-term outcomes comparing the efficacy of robotic versus laparoscopic colorectal surgery in obese patients.

This meta-analysis was conducted to evaluate and contrast the effectiveness of robotic-assisted and laparoscopic colorectal surgery in the treatment of obese patients. In February 2024, we carried out an exhaustive search of key global databases including PubMed, Embase, and Google Scholar, limiting our focus to studies published in English and Chinese. We excluded reviews, protocols lacking published results, articles derived solely from conference abstracts, and studies not relevant to our research objectives. To analyze categorical variables, we utilized the Cochran-Mantel-Haenszel method along with random-effects models, calculating inverse variances and presenting the outcomes as odds ratios (ORs) along with their 95% confidence intervals (CIs). Statistical significance was determined when p values were less than 0.05. In our final meta-analysis, we included eight cohort studies, encompassing a total of 5,004 patients. When comparing the robotic surgery group to the laparoscopic group, the findings revealed that the robotic group experienced a longer operative time (weighted mean difference (WMD) = 37.53 min, 95% (CI) 15.58-59.47; p = 0.0008), a shorter hospital stay (WMD = -0.68 days, 95% CI -1.25 to -0.10; p = 0.02), and reduced blood loss (WMD = -49.23 mL, 95% CI -64.31 to -34.14; p < 0.00001). No significant differences were observed between the two groups regarding overall complications, conversion rates, surgical site infections, readmission rates, lymph node yield, anastomotic leakage, and intestinal obstruction. The results of our study indicate that robot-assisted colorectal surgery offers benefits for obese patients by shortening the length of hospital stay and minimizing blood loss when compared to laparoscopic surgery. Nonetheless, it is associated with longer operation times and shows no significant difference in terms of overall complications, conversion rates, rehospitalization rates, and other similar metrics.

Prevalence and risk factors of frailty in older patients with chronic heart failure: a systematic review and meta-analysis.

AIM: To provide a summary of the available evidence concerning prevalence and risk factors of frailty in elderly patients with CHF. METHODS: PubMed, Embase, Web of Science, CINAHL, The Cochrane Library, China National Knowledge Infrastructure Database (CNKI), Chinese Biomedical Database (Sinomed), Weipu Database (VIP), and Wanfang database were searched from inception to July 2023. This study strictly followed the PRISMA guidelines. The quality of the included studies was rated by the Agency for Healthcare and Research and Quality and the Newcastle-Ottawa Scale. RESULTS: A total of 21 original studies were included, involving 4,797 patients. Meta-analysis results showed that the prevalence of frailty in older patients with heart failure was 38% (95%CI: 0.32-0.44). Age, cardiac function grading, left atrial diameter, left ventricular ejection fraction, hemoglobin, polypharmacy, BNP, nutritional risk, and hospitalization day are the influential factors of frailty in older patients with CHF. CONCLUSION: The prevalence of frailty in older patients with CHF is high, and clinical medical personnel should identify and intervene early to reduce or delay the frailty in older patients with CHF as much as possible.

Pharmacological Activity of Matrine in Inhibiting Colon Cancer Cells VM Formation, Proliferation, and Invasion by Downregulating Claudin-9 Mediated EMT Process and MAPK Signaling Pathway.

Purpose: Matrine (Mat), the main active ingredient of traditional Chinese herbal plant Sophora flavescens Ait, has significant antitumor effects, but its pharmacological mechanism on colon cancer (CC) remains unclear. This study aimed to investigate the therapeutic effect of Mat on CC as well as the potential mechanism. Methods: The vasculogenic mimicry (VM) of CC cells was observed by three-dimensional (3D) Matrigel cell culture. Cell proliferation, apoptosis, migration, invasion, and actin filament integrity were detected by CCK8, flow cytometry, wound healing, Transwell and Phalloidin staining assays. qRT-PCR and Western blotting were applied to detect the expression of EMT factors. RNA-sequencing was conducted to screen differentially expressed genes (DEGs), and the GO and KEGG pathway enrichment analyses were performed. Then, the expression of the key MAPK pathway genes and the target gene Claudin-9 (Cldn9) were analyzed. RNA interference was used to silence Cldn9 expression, and the effects of Cldn9 silencing and simultaneous treatment with Mat on VM formation, proliferation, apoptosis, invasion, and migration were investigated. Finally, the expression of EMT factors and MAPK pathway key genes was detected. Results: CT26 cells formed the most typical VM structure. Mat disrupted the VM of CT26 cells, significantly suppressed their proliferation, migration, invasion, actin filament integrity, induced apoptosis, and inhibited EMT process. RNA-sequencing revealed 163 upregulated genes and 333 downregulated genes in Mat-treated CT26 cells, and the DEGs were significantly enriched in cell adhesion molecules and MAPK signaling pathways. Further confirmed that Mat significantly inhibited the phosphorylation levels of JNK and ERK, and the target gene Cldn9 was significantly upregulated in human CC tissues. Silencing Cldn9 markedly inhibited the VM, proliferative activity, invasiveness, and actin filament integrity of CT26 cells, blocked the EMT process, and downregulated the phosphorylation of JNK and ERK, whereas Mat intervention further strengthened the above trends. Conclusion: This study indicated that Mat may synergistically inhibit the EMT process and MAPK signaling pathway through downregulation Cldn9, thereby exerting pharmacological effects on inhibiting VM formation, proliferation, and invasion of CC cells.

Simple and Ultrasensitive Detection of Glioma-Related ctDNAs in Mice Serum by SERS-Based Catalytic Hairpin Assembly Signal Amplification Coupled with Magnetic Aggregation.

Purpose: Circulating tumor DNA (ctDNA) is more representative and accurate than biopsy and is also conducive to dynamic monitoring, facilitating accurate diagnosis and prognosis of glioma. Therefore, the present study aimed to establish and validate a novel amplified method for the detection of IDH1 R132H and BRAF V600E, which were associated with the genetic diagnosis of glioma. Patients and Methods: A dual-signal amplification method based on magnetic aggregation and catalytic hairpin assembly (CHA) was constructed for the simultaneous detection of ctDNAs. When target ctDNAs are present, the CHA reaction is initiated and leads to the assembly of Au-Ag nanoshuttles (Au-Ag NSs) onto magnetic beads (MBs). Further enrichment of MBs under an external magnetic field facilitated the dual-signal amplification of SERS. Results: The limit of detection (LOD) for IDH1 R132H and BRAF V600E in serum was as low as 6.01 aM and 5.48 aM. The reproducibility and selectivity of the proposed SERS analysis platform was satisfactory. Finally, the platform was applied to quantify IDH1 R132H and BRAF V600E in the serum of subcutaneous-tumor­bearing nude mice, and the results obtained by SERS were consistent with those from quantitative real-time polymerase chain reaction (qRT-PCR). Conclusion: The present study showed that the dual-signal amplification method is a simple and ultrasensitive strategy for gliomas-associated ctDNAs detection, which is crucial for early diagnosis and dynamic monitoring.

Exenatide improves hypogonadism and attenuates inflammation in diabetic mice by modulating gut microbiota.

With the rising incidence of diabetes and its onset at a younger age, the impact on the male reproductive system has gradually gained attention. Exenatide is a glucagon-like peptide-1 receptor agonist effective in the treatment of diabetes. However, its role in diabetes-induced reproductive complications has rarely been reported. The study aimed to investigate the mechanism by which exenatide improved diabetic hypogonadism by regulating gut microbiota (GM) mediated inflammation. C57BL/6J mice were equally divided into normal control (NC), diabetic model control (DM) and exenatide-treated (Exe) groups. Testicular, pancreatic, colonic, and fecal samples were collected to assess microbiota, morphologic damage, and inflammation. Exenatide significantly reduced the fasting blood glucose (FBG) level in diabetic mice, increased the testosterone level, ameliorated the pathological morphological damage of islet, colon, and testes, and reduced the expression of pro-inflammatory factors, tumor necrosis factor-alpha (TNF-α) and interleukin (IL)-6 in colon and testis. Furthermore, exenatide significantly reduced the abundance of some pathogenic bacteria, such as Streptococcaceae and Erysipelotrichaceae, and increased that of beneficial bacteria Akkermansia. Probiotics, such as Lactobacillus were negatively correlated with TNF-α, nuclear factor-kappa-B (NF-κB), IL-6, and FBG. Conditional pathogenic bacteria such as Escherichia/Shigella Streptococcus were positively correlated with TNF-α, NF-κB, IL-6, and FBG. The fecal bacteria transplantation experiment revealed that the abundance of pathogenic bacteria, Peptostreptococcaceae, significantly decreased from Exe group mice to pseudo-sterile diabetic mice, and the pathological damage to testes was also alleviated. These data suggested the protective effects of exenatide on male reproductive damage induced by diabetes by regulating GM.

Application of Linear Regression Model of Gpnmb Gene in Rat Injury Time Estimation.

OBJECTIVES: To investigate the effects of injury time, postmortem interval (PMI) and postmortem storage temperature on mRNA expression of glycoprotein non-metastatic melanoma protein B (Gpnmb), and to establish a linear regression model between Gpnmb mRNA expression and injury time, to provide aimed at providing potential indexes for injury time estimation. METHODS: Test group SD rats were anesthetized and subjected to blunt contusion and randomly divided into 0 h, 4 h, 8 h, 12 h, 16 h, 20 h and 24 h groups after injury, with 18 rats in each group. After cervical dislocation, 6 rats in each group were collected and stored at 0 ℃, 16 ℃ and 26 ℃, respectively. The muscle tissue samples of quadriceps femoris injury were collected at 0 h, 12 h and 24 h postmortem at the same temperature. The grouping method and treatment method of the rats in the validation group were the same as above. The expression of Gpnmb mRNA in rat skeletal muscle was detected by RT-qPCR. The Pearson correlation coefficient was used to evaluate the correlation between Gpnmb mRNA expression and injury time, PMI, and postmortem storage temperature. SPSS 25.0 software was used to construct a linear regression model, and the validation group data was used for the back-substitution test. RESULTS: The expression of Gpnmb mRNA continued to increase with the prolongation of injury time, and the expression level was highly correlated with injury time (P<0.05), but had little correlation with PMI and postmortem storage temperature (P>0.05). The linear regression equation between injury time (y) and Gpnmb mRNA relative expression (x) was y=0.611 x+4.489. The back-substitution test proved that the prediction of the model was accurate. CONCLUSIONS: The expression of Gpnmb mRNA is almost not affected by the PMI and postmortem storage temperature, but is mainly related to the time of injury. Therefore, a linear regression model can be established to infer the time of injury.

Sensitive SERS detection of oral squamous cell carcinoma-related miRNAs in saliva via a gold nanohexagon array coupled with hybridization chain reaction amplification.

In this work, a highly specific and sensitive method for the detection of dual miRNAs was successfully developed by a hybridization chain reaction (HCR) amplification coupled with surface-enhanced Raman scattering (SERS) on Au-Ag hollow nanoparticles (Au-Ag HNPs) and a gold nanohexagon (AuNH) array. Two Raman reporter-labelled and hairpin DNA-modified Au-Ag HNPs acted as SERS probes (Au-Ag HNPs@4-MBA@HP1-1, Au-Ag HNPs@4-MBA@HP2-1, Au-Ag HNPs@DTNB@HP1-2, and Au-Ag HNPs@DTNB@HP2-2), and the hairpin DNA-modified AuNH array acted as the capture substrate. The HCR process could be triggered by the presence of target miRNAs, and long DNA hybridization chains on the substrate were formed by self-assembly rapidly, causing significant signal enhancement. Using the mentioned strategy, a low detection limit (LOD) of 6.51 aM for miR-31 and 6.52 aM for miR-21 in human saliva were obtained, showing the biosensor's remarkable sensitivity. The proposed biosensor also displays a significant specificity in detecting target miRNAs by introducing different interfering factors. This method has been successfully applied to detect and identify miR-21 and miR-31 in saliva from oral squamous cell carcinoma (OSCC) patients and healthy subjects. The results were consistent with those of the traditional test method in detecting target miRNAs, which confirmed the good accuracy of our method. Hence, the new assay method has great potential to be a valuable platform for detecting miRNAs in the early diagnosis of OSCC.

METTL3 potentiates progression of cervical cancer by suppressing ER stress via regulating m6A modification of TXNDC5 mRNA.

N6-methyladenosine (m6A) is the most abundant chemical modification on mRNA and plays significant roles in many bioprocesses. However, the functions of m6A on cervical cancer (CC) tumorigenesis remain unclear. Here we found methyltransferase-like 3 (METTL3), a core member of the m6A methyltransferase family, was greatly upregulated as an independent prognostic factor in CC. Mechanistically, the transcription factor ETS1 recruited P300 and WDR5 which separately mediated H3K27ac and H3K4me3 histone modification in the promoter of METTL3 and induced METTL3 transcription activation. Furthermore, we identified TXNDC5 as a target of METTL3-mediated m6A modification through MeRIP-seq, and revealed that METTL3-mediated TXNDC5 expression relied on the m6A reader-dependent manner. Functionally, we verified that METTL3 promoted proliferation and metastasis of CC cells by regulating of TXNDC5 expression through in vitro and in vivo experiments. In addition, our study verified the effect of METTL3/TXNDC5 axis on ER stress. Taken together, METTL3 facilitates the malignant progression of CC, suggesting that METTL3 might be a potential prognostic biomarker and therapeutic target for CC.

MicroRNA-216b reduces growth, migration and invasion of pancreatic ductal adenocarcinoma cells by directly targeting ρ-associated coiled-coil containing protein kinase 1.

[This retracts the article DOI: 10.3892/ol.2018.8109.].

Bioinformatics analysis of LMAN1 expression, clinical characteristics, and its effects on cell proliferation and invasion in glioma.

Glioma is the most common primary central nervous system malignant tumor with high heterogeneity and poor prognosis. So far, the complex pathological process of glioma has not been fully elucidated, and there is a lack of effective biomarkers for the diagnosis and molecular targeted therapy of glioma. Using bioinformatics methods, 77 upregulated and 89 downregulated differentially expressed genes (DEGs) were detected by intersection analysis in different gene expression datasets of glioma cases from public databases. Then, GO and KEGG pathway analysis revealed that the biological functions of these upregulated DEGs were mainly focused on immune response, and the signaling pathways were mainly enriched in integrin family cell surface interactions. The overexpression of the LMAN1 gene of interest was then confirmed using the TCGA dataset and further verified by qRT-PCR in 29 clinical samples and 5 glioma cell lines. Furthermore, high expression of LMAN1 was found to be associated with higher WHO grade, IDH status, and 1p/19q co-deletion. Survival analysis showed that high expression of LMAN1 was associated with poor prognosis in glioma. Gene set enrichment analysis (GSEA) indicated that many cancer-related pathways were associated with LMAN1-high phenotype. Protein-protein interaction (PPI) analysis revealed significant interaction between LMAN1 and MCFD2, F8, and TMED10. Finally, cell experiments showed that LMAN1 knockdown significantly inhibited the proliferation, migration and invasion and promoted apoptosis in glioma cells. This study highlighted the malignant role of LMAN1 in gliomas and provided a potentially valuable biomarker for prognosis evaluation and molecular targeted therapy of glioma.

Matrine Exerts Pharmacological Effects Through Multiple Signaling Pathways: A Comprehensive Review.

As The main effective monomer of the traditional Chinese medicine Sophora flavescens Ait, matrine has a broad scope of pharmacological activities such as anti-tumor, anti-inflammatory, analgesic, anti-fibrotic, anti-viral, anti-arrhythmia, and improving immune function. These actions explain its therapeutic effects in various types of tumors, cardiopathy, encephalomyelitis, allergic asthma, rheumatoid arthritis (RA), osteoporosis, and central nervous system (CNS) inflammation. Evidence has shown that the mechanism responsible for the pharmacological actions of matrine may be via the activation or inhibition of certain key molecules in several cellular signaling pathways including the phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/AKT/mTOR), transforming growth factor-ß/mothers against decapentaplegic homolog (TGF-ß/Smad), nuclear factor kappa B (NF-κB), Wnt (wingless/ integration 1)/ß-catenin, mitogen-activated protein kinases (MAPKs), and Janus kinase/signal transducer and activator of transcription (JAK/STAT) signaling pathways. This review comprehensively summarizes recent studies on the pharmacological mechanisms of matrine to provide a theoretical basis for molecular targeted therapies and further development and utilization of matrine.

CircVPS13C promotes pituitary adenoma growth by decreasing the stability of IFITM1 mRNA via interacting with RRBP1.

CircRNAs play important roles in a variety of biological processes by acting as microRNA sponges and protein scaffolds or by encoding functional proteins. However, their functions and underlying mechanisms remain largely unknown. Distinctive circRNA patterns were explored by comparing nonfunctioning pituitary adenomas (NFPAs) and normal pituitary tissues with a circRNA array. The biological functions of selected circRNAs were determined in vitro and in vivo. RNA-seq and circRNA pulldown assays were applied to investigate the underlying mechanisms. The circRNA profile of NFPAs is tremendously different from that of normal pituitary tissues. CircVPS13C is significantly upregulated in NFPA samples and cell lines. Gain- and loss-of-function experiments demonstrate that silencing circVPS13C inhibits the proliferation of pituitary tumor cells in vitro and in vivo. Mechanistically, circVPS13C silencing increases the expression of IFITM1 and subsequently activates its downstream genes involved in MAPK- and apoptosis-associated signaling pathways. Rescue experiments show that IFITM1 overexpression partly reverses the biological effects of circVPS13C. Further studies reveal that circVPS13C inhibits IFITM1 expression through a novel mechanism mainly by competitively interacting with RRBP1, a ribosome-binding protein of the endoplasmic reticulum membrane, and thereby alleviating the stability of IFITM1 mRNA. Clinically, circVPS13C expression is markedly higher in high-risk NFPA samples and is downregulated in patient serum 7 days post-transsphenoidal adenoma resection. Our findings suggest that circVPS13C is a critical regulator in the proliferation and development of NFPAs through a novel mechanism, whereby regulating mRNA stability via interacting with ribosome-binding proteins on the endoplasmic reticulum membrane.

Combining with lab-on-chip technology and multi-organ fusion strategy to estimate post-mortem interval of rat.

Background: The estimation of post-mortem interval (PMI) is one of the most important problems in forensic pathology all the time. Although many classical methods can be used to estimate time since death, accurate and rapid estimation of PMI is still a difficult task in forensic practice, so the estimation of PMI requires a faster, more accurate, and more convenient method. Materials and methods: In this study, an experimental method, lab-on-chip, is used to analyze the characterizations of polypeptide fragments of the lung, liver, kidney, and skeletal muscle of rats at defined time points after death (0, 1, 2, 3, 5, 7, 9, 12, 15, 18, 21, 24, 27, and 30 days). Then, machine learning algorithms (base model: LR, SVM, RF, GBDT, and MLPC; ensemble model: stacking, soft voting, and soft-weighted voting) are applied to predict PMI with single organ. Multi-organ fusion strategy is designed to predict PMI based on multiple organs. Then, the ensemble pruning algorithm determines the best combination of multi-organ. Results: The kidney is the best single organ for predicting the time of death, and its internal and external accuracy is 0.808 and 0.714, respectively. Multi-organ fusion strategy dramatically improves the performance of PMI estimation, and its internal and external accuracy is 0.962 and 0.893, respectively. Finally, the best organ combination determined by the ensemble pruning algorithm is all organs, such as lung, liver, kidney, and skeletal muscle. Conclusion: Lab-on-chip is feasible to detect polypeptide fragments and multi-organ fusion is more accurate than single organ for PMI estimation.

Metabolomics and Transcriptomics Analysis on Metabolic Characteristics of Oral Lichen Planus.

OBJECTIVE: To explore metabolic biomarkers related to erosive and reticulated oral lichen planus (OLP) by non-targeted metabolomics methods and correlate metabolites with gene expression, and to investigate the pathological network pathways of OLP from the perspective of metabolism. METHODS: A total of 153 individuals were enrolled in this study, including 50 patients with erosive oral lichen planus (EOLP), 51 patients with reticulated oral lichen planus (ROLP), and 52 healthy controls (HC). The ultra-high-performance liquid chromatography quadrupole-Orbitrap high-resolution accurate mass spectrometry (UHPLC/Q-Orbitrap HRMS) was used to analyze the metabolites of 40 EOLP, 40 ROLP, and 40 HC samples, and the differential metabolic biomarkers were screened and identified. The regulatory genes were further screened through the shared metabolites between EOLP and ROLP, and cross-correlated with the OLP-related differential genes in the network database. A "gene-metabolite" network was constructed after finding the key differential genes. Finally, the diagnostic efficiency of the biomarkers was verified in the validation set and a diagnostic model was constructed. RESULT: Compared with HC group, a total of 19 and 25 differential metabolites were identified in the EOLP group and the ROLP group, respectively. A total of 14 different metabolites were identified between EOLP and ROLP. Two diagnostic models were constructed based on these differential metabolites. There are 14 differential metabolites shared by EOLP and ROLP. The transcriptomics data showed 756 differentially expressed genes, and the final crossover network showed that 19 differential genes were associated with 12 metabolites. Enrichment analysis showed that alanine, aspartate and glutamate metabolism were closely associated with the pathogenesis of OLP. CONCLUSION: The metabolic change of different types of OLP were clarified. The potential gene perturbation of OLP was provided. This study provided a strong support for further exploration of the pathogenic mechanism of OLP.

Catalpol ameliorates endothelial dysfunction and inflammation in diabetic nephropathy via suppression of RAGE/RhoA/ROCK signaling pathway.

Catalpol is an iridoid glycoside compound isolated from the root of Rehmannia glutinosa, which has been reported to be a promising candidate for the treatment of diabetic diseases. The present study aimed at investigating the effects and potential mechanism of catalpol on endothelial dysfunction and inflammation in diabetic nephropathy (DN). We constructed DN mice and advanced glycation end products (AGEs)-induced mouse glomerular endothelial cells (mGECs) injury model. The results demonstrated that catalpol effectively improved renal pathology and decreased levels of urine protein, serum creatinine, and blood urea nitrogen in DN mice. Catalpol significantly reduced endothelial dysfunction and inflammatory infiltration of macrophages in DN mice and AGEs-induced mGECs. To further study the protective mechanism of catalpol, we transfected DN mice with recombinant adeno-associated virus expressing receptor of AGEs (RAGE) and intervened AGEs-induced mGECs with inhibitors. Catalpol reversed endothelial dysfunction and inflammation aggravated by RAGE overexpression in DN mice. Meanwhile, catalpol significantly inhibited the RAGE/Ras homolog gene family member A (RhoA)/Rho-associated kinase (ROCK) pathway in DN mice with RAGE overexpression. Moreover, the combination of catalpol with inhibitors of RAGE, RhoA and ROCK exerted stronger anti-endothelial dysfunction and anti-macrophage infiltration effects on AGEs-induced mGECs compared with catalpol alone. In short, this study indicated that catalpol could ameliorate endothelial dysfunction and inflammation via suppression of RAGE/RhoA/ROCK pathway, hereby delaying the progression of DN.

Aberrant PTEN, PIK3CA, pMAPK, and TP53 expression in human scalp and face angiosarcoma.

ABSTRACT: Angiosarcoma is a rare, highly aggressive malignant tumor originating from endothelial cells that line the lumen of blood or lymphatic vessels. The molecular mechanisms of scalp and face angiosarcoma still need to be elucidated. This study aimed to investigate the expression of phosphatase and tensin homolog (PTEN), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA), phosphorylated mitogen-activated kinase-like protein (pMAPK), and tumor protein p53 (TP53) in scalp and face angiosarcoma and to assess tumor tissue apoptosis.The expression and intracellular distribution of PTEN, PIK3CA, pMAPK, and TP53 proteins in 21 specimens of human scalp and face angiosarcoma and 16 specimens of human benign hemangioma were evaluated using immunohistochemistry. Tumor cell apoptosis was assessed by terminal deoxyribonucleotide transferase-mediated dUTP nick end-labeling staining.Significantly lower PTEN but higher PIK3CA, pMAPK, and TP53 immunostaining were detected in the angiosarcoma specimens than in the benign hemangioma specimens(P < .01). The angiosarcoma tissues exhibited significantly higher apoptosis indices than the benign hemangioma tissues (P < .01). The positive expression rates of PIK3CA, pMAPK, and TP53 were correlated with the degree of tumor differentiation in the human scalp and face angiosarcoma.The PI3K, MAPK, and TP53 pathways might be involved in angiosarcoma tumorigenesis in humans and may serve as therapeutic targets for the effective treatment of this malignancy.

The Molecular Genetics of Marfan Syndrome.

Marfan syndrome (MFS) is a complex connective tissue disease that is primarily characterized by cardiovascular, ocular and skeletal systems disorders. Despite its rarity, MFS severely impacts the quality of life of the patients. It has been shown that molecular genetic factors serve critical roles in the pathogenesis of MFS. FBN1 is associated with MFS and the other genes such as FBN2, transforming growth factor beta (TGF-ß) receptors (TGFBR1 and TGFBR2), latent TGF-ß-binding protein 2 (LTBP2) and SKI, amongst others also have their associated syndromes, however high overlap may exist between these syndromes and MFS. Abnormalities in the TGF-ß signaling pathway also contribute to the development of aneurysms in patients with MFS, although the detailed molecular mechanism remains unclear. Mutant FBN1 protein may cause unstableness in elastic structures, thereby perturbing the TGF-ß signaling pathway, which regulates several processes in cells. Additionally, DNA methylation of FBN1 and histone acetylation in an MFS mouse model demonstrated that epigenetic factors play a regulatory role in MFS. The purpose of the present review is to provide an up-to-date understanding of MFS-related genes and relevant assessment technologies, with the aim of laying a foundation for the early diagnosis, consultation and treatment of MFS.

Circ_0044516 Regulates miR-136/MAT2A Pathway to Facilitate Lung Cancer Development.

Circular RNA (circRNA) is a type of noncoding RNA that can interact with miRNAs to regulate gene expression. However, little is known concerning circRNA, which is crucial in the pathogenesis of lung cancer. To date, limited studies have explored the role of circ_0044516 in lung cancer progression. Recently, we observed that circ_0044516 expression levels were obviously elevated in lung cancer tissues and cells. A549 and SPCA1 cells were transfected with circ_0044516 siRNA. We observed that knockdown of circ_0044516 dramatically repressed cell proliferation, increased cell apoptosis, and repressed the cell cycle. Moreover, A549 and SPCA1 cell migration and invasion abilities were greatly repressed by circ_0044516 siRNA. Due to accumulating evidence demonstrating the vital role of cancer stem cells, their mechanism of involvement has drawn increasing attention in tumor progression and metastasis research. We also found that cancer stem cell properties were restrained by silencing circ_0044516 in A549 and SPC-A1 cells. Moreover, in vivo xenograft experiments showed that circ_0044516 downregulation reduced tumor growth. Mechanistically, in lung cancer and using bioinformatics, we demonstrated that circ_0044516 sponges miR-136 targeting MAT2A. Furthermore, rescue assays were carried out to identify that circ_0044516 modulates cell proliferation, invasion, and stemness by regulating miR-136 and MAT2A in lung cancer. In summary, our study revealed that the circ_0044516/miR-136/MAT2A axis is involved in lung cancer progression. Our findings may provide novel targets for diagnosis and therapeutic intervention in lung cancer patients.