Pan-Cancer Screening and Validation of CALU's Role in EMT Regulation and Tumor Microenvironment in Triple-Negative Breast Cancer.

Purpose: Cancer-associated fibroblasts (CAFs) significantly contribute to tumor progression and the development of resistance to therapies across a range of malignancies, notably breast cancer. This study aims to elucidate the specific role and prognostic relevance of CALU across multiple cancer types. Patients and Methods: The association between CALU expression and prognosis, along with clinical characteristics in BRCA, HNSC, KIRP, LGG, and LIHC, was analyzed using data from the TCGA, GTEx, and GEO databases. Transcriptomic analysis of TCGA BRCA project data provided insights into the interaction between CALU and epithelial-mesenchymal transition (EMT) marker genes. Using TIMER and TISCH databases, the correlation between CALU expression and tumor microenvironment infiltration was assessed, alongside an evaluation of CALU expression across various cell types. Furthermore, CALU's influence on TNBC BRCA cell lines was explored, and its expression in tumor tissues was confirmed through immunohistochemical analysis of clinical samples. Results: This study revealed a consistent upregulation of CALU across several tumor types, including BRCA, KIRP, LIHC, HNSC, and LGG, with elevated CALU expression being associated with unfavorable prognoses. CALU expression was particularly enhanced in clinical contexts linked to poor outcomes. Genomic analysis identified copy number alterations as the principal factor driving CALU overexpression. Additionally, a positive correlation between CALU expression and CAF infiltration was observed, along with its involvement in the EMT process in both CAFs and malignant cells. In vitro experiments demonstrated that CALU is highly expressed in TNBC-BRCA cell lines, and knockdown of CALU effectively reversed EMT progression and inhibited cellular migration. Immunohistochemical analysis of clinical samples corroborated the elevated expression of CALU in tumors, along with alterations in EMT markers. Conclusion: This comprehensive pan-cancer analysis underscores CALU's critical role in modulating the tumor microenvironment and facilitating cell migration via the EMT pathway, identifying it as a potential therapeutic target.

LIG1 is a novel marker for bladder cancer prognosis: evidence based on experimental studies, machine learning and single-cell sequencing.

Background: Bladder cancer, a highly fatal disease, poses a significant threat to patients. Positioned at 19q13.2-13.3, LIG1, one of the four DNA ligases in mammalian cells, is frequently deleted in tumour cells of diverse origins. Despite this, the precise involvement of LIG1 in BLCA remains elusive. This pioneering investigation delves into the uncharted territory of LIG1's impact on BLCA. Our primary objective is to elucidate the intricate interplay between LIG1 and BLCA, alongside exploring its correlation with various clinicopathological factors. Methods: We retrieved gene expression data of para-carcinoma tissues and bladder cancer (BLCA) from the GEO repository. Single-cell sequencing data were processed using the "Seurat" package. Differential expression analysis was then performed with the "Limma" package. The construction of scale-free gene co-expression networks was achieved using the "WGCNA" package. Subsequently, a Venn diagram was utilized to extract genes from the positively correlated modules identified by WGCNA and intersect them with differentially expressed genes (DEGs), isolating the overlapping genes. The "STRINGdb" package was employed to establish the protein-protein interaction (PPI) network.Hub genes were identified through the PPI network using the Betweenness Centrality (BC) algorithm. We conducted KEGG and GO enrichment analyses to uncover the regulatory mechanisms and biological functions associated with the hub genes. A machine-learning diagnostic model was established using the R package "mlr3verse." Mutation profiles between the LIG1^high and LIG1^low groups were visualized using the BEST website. Survival analyses within the LIG1^high and LIG1^low groups were performed using the BEST website and the GENT2 website. Finally, a series of functional experiments were executed to validate the functional role of LIG1 in BLCA. Results: Our investigation revealed an upregulation of LIG1 in BLCA specimens, with heightened LIG1 levels correlating with unfavorable overall survival outcomes. Functional enrichment analysis of hub genes, as evidenced by GO and KEGG enrichment analyses, highlighted LIG1's involvement in critical function such as the DNA replication, cellular senescence, cell cycle and the p53 signalling pathway. Notably, the mutational landscape of BLCA varied significantly between LIG1high and LIG1low groups.Immune infiltrating analyses suggested a pivotal role for LIG1 in immune cell recruitment and immune regulation within the BLCA microenvironment, thereby impacting prognosis. Subsequent experimental validations further underscored the significance of LIG1 in BLCA pathogenesis, consolidating its functional relevance in BLCA samples. Conclusions: Our research demonstrates that LIG1 plays a crucial role in promoting bladder cancer malignant progression by heightening proliferation, invasion, EMT, and other key functions, thereby serving as a potential risk biomarker.

The interplay between metal ions and immune cells in glioma: pathways to immune escape.

This review explores the intricate roles of metal ions-iron, copper, zinc, and selenium-in glioma pathogenesis and immune evasion. Dysregulated metal ion metabolism significantly contributes to glioma progression by inducing oxidative stress, promoting angiogenesis, and modulating immune cell functions. Iron accumulation enhances oxidative DNA damage, copper activates hypoxia-inducible factors to stimulate angiogenesis, zinc influences cell proliferation and apoptosis, and selenium modulates the tumor microenvironment through its antioxidant properties. These metal ions also facilitate immune escape by upregulating immune checkpoints and secreting immunosuppressive cytokines. Targeting metal ion pathways with therapeutic strategies such as chelating agents and metalloproteinase inhibitors, particularly in combination with conventional treatments like chemotherapy and immunotherapy, shows promise in improving treatment efficacy and overcoming resistance. Future research should leverage advanced bioinformatics and integrative methodologies to deepen the understanding of metal ion-immune interactions, ultimately identifying novel biomarkers and therapeutic targets to enhance glioma management and patient outcomes.

Bulk RNA-sequencing, single-cell RNA-sequencing analysis, and experimental validation reveal iron metabolism-related genes CISD2 and CYP17A1 are potential diagnostic markers for recurrent pregnancy loss.

BACKGROUND: Recurrent pregnancy loss (RPL) is associated with variable causes. Its etiology remains unexplained in about half of the cases, with no effective treatment available. Individuals with RPL have an irregular iron metabolism. In the present study, we identified key genes impacting iron metabolism that could be used for diagnosing and treating RPL. METHODS: We obtained gene expression profiles from the Gene Expression Omnibus (GEO) database. The Molecular Signatures Database was used to identify 14 gene sets related to iron metabolism, comprising 520 iron metabolism genes. Differential analysis and a weighted gene co-expression network analysis (WGCNA) of gene expression revealed two iron metabolism-related hub genes. Reverse transcriptase-polymerase chain reaction (RT-PCR) and immunohistochemistry were used on clinical samples to confirm our results. The receiver operating characteristic (ROC) analysis and immune infiltration analysis were conducted. In addition, we analyzed the distribution of genes and performed CellChat analysis by single-cell RNA sequencing. RESULTS: The expression of two hub genes, namely, CDGSH iron sulfur domain 2 (CISD2)and Cytochrome P450 family 17 subfamily A member 1 (CYP17A1), were reduced in RPL, as verified by both qPCR and immunohistochemistry. The Gene Ontology (GO) analysis revealed the genes predominantly engaged in autophagy and iron metabolism. The area under the curve (AUC) demonstrated better diagnostic performance for RPL using CISD2 and CYP17A1. The single-cell transcriptomic analysis of RPL demonstrated that CISD2 is expressed in the majority of cell subpopulations, whereas CYP17A1 is not. The cell cycle analysis revealed highly active natural killer (NK) cells that displayed the highest communications with other cells, including the strongest interaction with macrophages through the migratory inhibitory factor (MIF) pathway. CONCLUSIONS: Our study suggested that CISD2 and CYP17A1 genes are involved in abnormal iron metabolism, thereby contributing to RPL. These genes could be used as potential diagnostic and therapeutic markers for RPL.

Necroptosis-associated long noncoding RNAs can predict prognosis and differentiate between cold and hot tumors in ovarian cancer.

Objective: The mortality rate of ovarian cancer (OC) is the highest among all gynecologic cancers. To predict the prognosis and the efficacy of immunotherapy, we identified new biomarkers. Methods: The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression Project (GTEx) databases were used to extract ovarian cancer transcriptomes. By performing the co-expression analysis, we identified necroptosis-associated long noncoding RNAs (lncRNAs). We used the least absolute shrinkage and selection operator (LASSO) to build the risk model. The qRT-PCR assay was conducted to confirm the differential expression of lncRNAs in the ovarian cancer cell line SK-OV-3. Gene Set Enrichment Analysis, Kaplan-Meier analysis, and the nomogram were used to determine the lncRNAs model. Additionally, the risk model was estimated to evaluate the efficacy of immunotherapy and chemotherapy. We classified necroptosis-associated IncRNAs into two clusters to distinguish between cold and hot tumors. Results: The model was constructed using six necroptosis-associated lncRNAs. The calibration plots from the model showed good consistency with the prognostic predictions. The overall survival of one, three, and five-year areas under the ROC curve (AUC) was 0.691, 0.678, and 0.691, respectively. There were significant differences in the IC50 between the risk groups, which could serve as a guide to systemic treatment. The results of the qRT-PCR assay showed that AL928654.1, AL133371.2, AC007991.4, and LINC00996 were significantly higher in the SK-OV-3 cell line than in the Iose-80 cell line (P < 0.05). The clusters could be applied to differentiate between cold and hot tumors more accurately and assist in accurate mediation. Cluster 2 was more vulnerable to immunotherapies and was identified as the hot tumor. Conclusion: Necroptosis-associated lncRNAs are reliable predictors of prognosis and can provide a treatment strategy by screening for hot tumors.

Germline variation networks in the PI3K/AKT pathway corresponding to familial high-incidence lung cancer pedigrees.

BACKGROUND: There were scarcely germline variants of familial lung cancer (LC) identified. We conducted an study with whole-exome sequencing of pedigrees with familial lung cancer to analyze the potential genetic susceptibility. METHODS: Probands with the highest hereditary background were identified by our large-scale epidemiological study and five ones were enrolled as a learning set. The germline SNPs (single-nucleotide polymorphisms) of other five similar probands, four healthy individuals in the formerly pedigrees and three patients with sporadic LC were used as a validation set, controlled by three healthy individuals without family history of any cancer. The network of mutated genes was generated using STRING-DB and visualized using Cytoscape. RESULTS: Specific and shared somatic mutations and germline SNPs were not the shared cause of familial lung cancer. However, individual germline SNPs showed distinct protein-protein interaction network patterns in probands versus healthy individuals and patients with sporadic lung cancer. SNP-containing genes were enriched in the PI3K/AKT pathway. These results were validated in the validation set. Furthermore, patients with familial lung cancer were distinguished by many germline variations in the PI3K/AKT pathway by a simple SVM classification method. It is worth emphasizing that one person with many germline variations in the PI3K/AKT pathway developed lung cancer during follow-up. CONCLUSIONS: The phenomenon that the enrichments of germline SNPs in the PI3K/AKT pathway might be a major predictor of familial susceptibility to lung cancer.

Use of percutaneous microwave ablation for the treatment of bone tumors: a retrospective study of clinical outcomes in 47 patients.

OBJECTIVE: The present study aimed to evaluate the short-term clinical performance and safety of percutaneous microwave ablation (MWA) techniques for the treatment of bone tumors. METHODS: This single-institution retrospective study investigated 47 cases of bone tumors treated by MWA from June 2015 to June 2018. The study included 26 patients (55.3%) with benign bone tumors and 21 patients (44.7%) with malignant bone tumors. The tumors were located in the spine or sacrum (15, 31.9%), the upper extremities (6, 12.8%), the lower extremities (17, 36.2%) and the pelvis (9, 19.1%). Outcomes regarding clinical efficacy, including pain relief, quality of life, and intervention-related complications, were evaluated before and after MWA using the visual analog scale (VAS) and the 36-item Short-Form Health Survey (SF-36) scoring system. RESULTS: Of the 47 patients included in this study, all of them completed follow-up examinations, with a mean follow-up duration of 4.8 ± 1.6 months (range, 2-9 months). Significantly improved VAS and SF-36 scores were recorded after the initial treatment (P<0.001), suggesting that almost 100% of patients experienced pain relief and an improved quality of life following surgery. No major intervention-related complications (e.g., serious neurovascular injury or infection) occurred during or after the treatment. We recorded only three minor posttreatment complications (6.4%, 3/47), which were related to thermal injury that caused myofasciitis and affected wound healing. CONCLUSION: In our study, the short-term efficacy of MWA was considerably favorable, with a relatively low rate of complications. Our results also showed that MWA was effective for pain relief and improved patients' quality of life, making it a feasible treatment alternative for bone tumors.

Establishment and application of a multiplex genetic mutation-detection method of lung cancer based on MassARRAY platform.

OBJECTIVE: This study aims to establish a method for highly parallel multiplexed detection of genetic mutations in Chinese lung cancer samples through Agena iPLEX chemistry and matrix-assisted laser desorption ionization time-of-flight analysis on MassARRAY mass spectrometry platform. METHODS: We reviewed the related literature and data on lung cancer treatments. We also identified 99 mutation hot spots in 13 target genes closely related to the pathogenesis, drug resistance, and metastasis of lung cancer. A total of 297 primers, composed of 99 paired forward and reverse amplification primers and 99 matched extension primers, were designed using Assay Design software. The detection method was established by analyzing eight cell lines and six lung cancer specimens. The proposed method was then validated through comparisons by using a LungCarta(TM) kit. The sensitivity and specificity of the proposed method were evaluated by directly sequencing EGFR and KRAS genes in 100 lung cancer cases. RESULTS: The proposed method was able to detect multiplex genetic mutations in lung cancer cell lines. This finding was consistent with the observations on previously reported mutations. The proposed method can also detect such mutations in clinical lung cancer specimens. This result was consistent with the observations with LungCarta(TM) kit. However, an FGFR2 mutation was detected only through the proposed method. The measured sensitivity and specificity were 100% and 96.3%, respectively. CONCLUSIONS: The proposed MassARRAY technology-based multiplex method can detect genetic mutations in Chinese lung cancer patients. Therefore, the proposed method can be applied to detect mutations in other cancer tissues.

Polymorphism of rs9387478 correlates with overall survival in female nonsmoking patients with lung cancer.

BACKGROUND: Our previous study identified rs9387478 as a new susceptibility locus associated with lung cancer in never-smoking women in Asia; however, the clinical and prognostic significance of this finding is not known. METHODS: We analyzed the relationship between the rs9387478 single nucleotide polymorphism and i) clinical parameters and ii) overall survival time in 505 female nonsmoking lung cancer patients, using the chi-square test and Kaplan-Meier analysis with the log-rank test, respectively. We further established the epidermal growth factor receptor (EGFR) mutation status and assessed its association with rs9387478 genotypes as well as the efficacy of EGFR tyrosine kinase inhibitors. RESULTS: The frequency of the AA genotype was significantly higher in the EGFR-mutation-negative group than in the EGFR-mutation-positive group (32% vs. 16%, χ2 = 13.025, p = 0.011). Patients with the CC genotype had a better overall survival time than patients with the AA/AC genotype (median survival time: 54.2 vs. 32.9 months, χ2 = 4.593, p = 0.032). The distribution of rs9387478 genotypes differed according to the clinical disease stage. CONCLUSIONS: This study indicates that the rs9387478 genotype was associated with overall survival in nonsmoking female patients with lung cancer, although it was not significant after adjusting for multiple testing. The identification of the location of the rs9387478 single nucleotide polymorphism in the genomic interval containing the DCBLD1 and ROS1 genes, together with the finding that the rs9387478 polymorphism correlates with EGFR mutation status, may have important implications for therapeutic approaches targeting EGFR or ROS1 in patients with lung cancer.

Integrative Analyses of Lung Squamous Cell Carcinoma in Ten Chinese Patients with Transcriptome Sequencing.

Few effective therapies have been developed for the treatment of lung squamous cell carcinoma (SQCC), in part due to a lack of understanding regarding the mechanisms underlying the initiation and development of this disease. Whole transcriptome sequencing not only provides insight into the expression of all transcribed genes, but offers an efficient approach for identifying genetic variations, including gene fusions, mutations and alternative splicing. In this study, we performed whole transcriptome sequencing of 10 patients with stage IIIA lung SQCC, and discovered a large number of single nucleotide variants (SNVs; mean of 12.2 SNVs/Mb), with C>T/G>A and A>G/T>C transitions being the most frequently observed. Additionally, a total of 132 gene fusions were identified based upon TopHat alignments, 70.5% (93/132) of which occurred as a result of intra-chromosomal rearrangements. Based on the number of supporting reads for each fusion, we further validated 20 of the 26 top gene fusions by RT-PCR and Sanger sequencing. Taken together, these data provide an in-depth view of transcriptional alterations in lung SQCC patients, and may be useful for identification of new therapeutic targets.

Single nucleotide polymorphisms in VTI1A gene contribute to the susceptibility of Chinese population to non-small cell lung cancer.

BACKGROUND: Genome-wide association studies (GWAS) have determined a new single nucleotide polymorphism (SNP) called VTI1A (rs7086803) that induces lung cancer susceptibility in nonsmoking women in Asia. This study aimed to evaluate the association between the VTI1A gene and the susceptibility of Chinese patients to lung cancer; it was also conducted to investigate the relationship between VTI1A SNP and adiponectin receptor 1 expression. METHODS: A total of 887 subjects were enrolled in this study. VTI1A (rs7086803) genotypes were determined by genotyping. Overall survival (OS) was evaluated using Kaplan-Meier analysis with a log-rank test. RESULTS: Multivariate regression analysis results indicated that the AA genotype of VTI1A (rs7086803) polymorphism was associated with an increased risk of developing non-small cell lung carcinoma (NSCLC) compared with the GG genotype (AA vs. GG: odds ratio [OR] = 2.020; 95% confidence interval [95% CI], 1.033-3.949, p = 0.037). The AA genotype of VTI1A (rs7086803) in smokers predicted significantly shorter OS (median survival time [MST]: AA 9.8 months, AG 19.3 months, GG 12.2 months, p = 0.017). Adiponectin receptor 1 expression in tumor tissues with the AA genotype was significantly lower than that for other genotypes (mean rank: AA 18.55, AG 25, GG 45.76, p = 0.001). CONCLUSIONS: The presence of the allele A of VTI1A (rs7086803) may be the allele contributing to the risk of lung cancer susceptibility in Chinese population. Smoking lung cancer patients with the AA genotype of VTI1A gene (rs7086803) had a poor survival rate. Adiponectin receptor 1 expression may be correlated with the susceptibility of the allele A of VTI1A.

A sensitive and selective magnetic graphene composite-modified polycrystalline-silicon nanowire field-effect transistor for bladder cancer diagnosis.

In this study, we describe the urinary quantification of apolipoprotein A II protein (APOA2 protein), a biomarker for the diagnosis of bladder cancer, using an n-type polycrystalline silicon nanowire field-effect transistor (poly-SiNW-FET). The modification of poly-SiNW-FET by magnetic graphene with long-chain acid groups (MGLA) synthesized via Friedel-Crafts acylation was compared with that obtained using short-chain acid groups (MGSA). Compared with MGSA, the MGLA showed a higher immobilization degree and bioactivity to the anti-APOA2 antibody (Ab) due to its lower steric hindrance. In addition, the magnetic properties enabled rapid separation and purification during Ab immobilization, ultimately preserving its bioactivity. The Ab-MGLA/poly-SiNW-FET exhibited a linear dependence of relative response to the logarithmical concentration in a range between 19.5pgmL(-1) and 1.95µgmL(-1), with a limit of detection (LOD) of 6.7pgmL(-1). An additional washing step before measurement aimed at excluding the interfering biocomponents ensured the reliability of the assay. We conclude that our biosensor efficiently distinguishes mean values of urinary APOA2 protein concentrations between patients with bladder cancer (29-344ngmL(-1)) and those with hernia (0.425-9.47ngmL(-1)).

Detecting the spectrum of multigene mutations in non-small cell lung cancer by Snapshot assay.

As molecular targets continue to be identified and more targeted inhibitors are developed for personalized treatment of non-small cell lung cancer (NSCLC), multigene mutation determination will be needed for routine oncology practice and for clinical trials. In this study, we evaluated the sensitivity and specificity of multigene mutation testing by using the Snapshot assay in NSCLC. We retrospectively reviewed a cohort of 110 consecutive NSCLC specimens for which epidermal growth factor receptor (EGFR) mutation testing was performed between November 2011 and December 2011 using Sanger sequencing. Using the Snapshot assay, mutation statuses were detected for EGFR, Kirsten rate sarcoma viral oncogene homolog (KRAS), phosphoinositide-3-kinase catalytic alpha polypeptide (PIK3CA), v-Raf murine sarcoma viral oncogene homolog B1 (BRAF), v-ras neuroblastoma viral oncogene homolog (NRAS), dual specificity mitogen activated protein kinase kinase 1 (MEK1), phosphatase and tensin homolog (PTEN), and human epidermal growth factor receptor 2 (HER2) in patient specimens and cell line DNA. Snapshot data were compared to Sanger sequencing data. Of the 110 samples, 51 (46.4%) harbored at least one mutation. The mutation frequency in adenocarcinoma specimens was 55.6%, and the frequencies of EGFR, KRAS, PIK3CA, PTEN, and MEK1 mutations were 35.5%, 9.1%, 3.6%, 0.9%, and 0.9%, respectively. No mutation was found in the HER2, NRAS, or BRAF genes. Three of the 51 mutant samples harbored double mutations: two PIK3CA mutations coexisted with KRAS or EGFR mutations, and another KRAS mutation coexisted with a PTEN mutation. Among the 110 samples, 47 were surgical specimens, 60 were biopsy specimens, and 3 were cytological specimens; the corresponding mutation frequencies were 51.1%, 41.7%, and 66.7%, respectively (P = 0.532). Compared to Sanger sequencing, Snapshot specificity was 98.4% and sensitivity was 100% (positive predictive value, 97.9%; negative predictive value, 100%). The Snapshot assay is a sensitive and easily customized assay for multigene mutation testing in clinical practice.

BCL11A overexpression predicts survival and relapse in non-small cell lung cancer and is modulated by microRNA-30a and gene amplification.

BACKGROUND: Aberrant activation of the proto-oncogene B-cell lymphoma/leukemia 11A (BCL11A) has been implicated in the pathogenesis of leukemia and lymphoma. However, the clinical significance of BCL11A in non-small cell lung cancer (NSCLC) remains unknown. RESULTS: We examined BCL11A expression at the protein and mRNA levels in a cohort (n=114) of NSCLC patients and assessed the relationship between BCL11A expression and clinicopathological parameters. Data from array-based Comparative Genomic Hybridization (aCGH) and microRNA transfection experiments were integrated to explore the potential mechanisms of abnormal BCL11A activation in NSCLC. Compared to adjacent non-cancerous lung tissues, BCL11A expression levels were specifically upregulated in NSCLC tissues at both the mRNA (t=9.81, P<0.001) and protein levels. BCL11A protein levels were higher in patients with squamous histology (χ2=15.81, P=0.001), smokers (χ2=8.92, P=0.004), patients with no lymph node involvement (χ2=5.14, P=0.029), and patients with early stage disease (χ2=3.91, P=0.048). A multivariate analysis demonstrated that in early stage NSCLC (IA-IIB), BCL11A was not only an independent prognostic factor for disease-free survival (hazards ratio [HR] 0.24, 95% confidence interval [CI] 0.12-0.50, P<0.001), but also for overall survival (HR=0.23, 95% CI 0.09-0.61, P=0.003). The average BCL11A expression level was much higher in SCC samples with amplifications than in those without amplifications (t=3.30, P=0.023). Assessing functionality via an in vitro luciferase reporter system and western blotting, we found that the BCL11A protein was a target of miR-30a. CONCLUSIONS: Our results demonstrated that proto-oncogene BCL11A activation induced by miR-30a and gene amplification may be a potential diagnostic and prognostic biomarker for effective management of this disease.

Preparation of highly conjugated water-dispersible graphene-butyric acid for the enhancement of electron transfer within polyamic acid-benzoxazole: potential applications in electrochemical sensing.

To break through the long time and complex procedures for the preparation of highly conjugated reduced graphene oxide (r-GO) in developing electrochemical sensor, a time-saving and simple method is investigated in this study. One novel step of the exfoliated accompanying carboxylated graphene sheet from pristine is achieved via Friedel-Crafts acylation. By electrophilic aromatic substitution, the succinic anhydride ring is opened and attaches covalently to the graphene sheet (Gs) to form exfoliated graphene with grafted 1-one-butyric acid (Gs-BA). The grafting chain converts anions in aqueous solution to maintain Gs-BA in a stable dispersion and noticeably decreases the π-π stacking of the exfoliated Gs during the drying process. The analytical results of the absorption spectroscopy demonstrate that the conjugation of Gs-BA is not significantly destroyed by this chemical modification; Gs-BA retains the Gs electrical properties favorable for developing electrochemical sensors. When polyamic acid-benzoxazole (PAA-BO), a hydrogen peroxide (H2O2)-sensitive probe, hybridizes with Gs-BA to form Gs-BA-PAA-BO, the electron transfer rate relating to the response time improves markedly from 1.09 s(-1) to 38.8 s(-1). Additionally, it offers a high performance for H2O2 sensing in terms of sensitivity and response time, making this method applicable for developing glucose and choline biosensors.

Combinations of laminin 5 with PTEN, p-EGFR and p-Akt define a group of distinct molecular subsets indicative of poor prognosis in patients with non-small cell lung cancer.

Laminin 5 (Ln5) is an extracellular matrix protein that plays an important role in cell migration and tumor invasion. This study explored the expression of Ln5 and the role of its relationships with PTEN, phospho-EGFR (p-EGFR) and phospho-Akt (p-Akt) in the prognosis of patients with non-small cell lung cancer (NSCLC). The protein expression of Ln5, PTEN, p-EGFR and p-Akt was assessed by immunohistochemical analysis, and their relationships to prognosis were analyzed. Protein expression of Ln5, p-EGFR and p-Akt was detected in 61.2 (60/98), 60.2 (59/98) and 45.3% (43/95) of patients with NSCLC, respectively. Loss of PTEN expression was found in 67.7% of tumors (65/96). Ln5 expression was related to patient gender, histology and p-Akt expression (χ(2)=3.901, 4.549 and 6.985, respectively; P=0.048, 0.033 and 0.008, respectively). Patients with positive Ln5 expression had marginally poorer survival than Ln5-negative patients (median survival time 56.4 months vs. not reached; χ(2)=3.346; P=0.067). Overall survival was significantly different in patients with positive Ln5 expression combined with loss of PTEN, positive p-EGFR expression or positive p-Akt expression. Cox regression analysis showed that stage, co-expression of Ln5 and p-Akt, and PTEN were the three most independent prognostic factors for patients with NSCLC (χ(2)=27.906; P<0.0005). The results highlight the complex relationships between extracellular matrix proteins and key signaling pathway molecules in tumorigenesis. Changes in the expression of Ln5 plus PTEN, p-EGFR or p-Akt define a distinct subset of lung cancers. Patients with such cancers have poorer survival and require early treatment that impacts survival.

KDR expression is associated with the stage and cigarette smoking of the patients with lung cancer.

PURPOSE: Kinase insert domain-containing receptor (KDR) is one of the molecular targets used in cancer therapy. We studied the KDR expression characteristics and the relationship with the clinical parameters of the patients with lung cancer, to give the basic evidence and clue for tailoring therapy. METHODS: Reverse transcriptase and real-time PCR were used to evaluate the KDR mRNA expression levels in 222 tissue samples (106 tumor tissues, 106 matched normal tissues obtained from the same patients with lung cancer, and 10 normal lung specimens from individuals without lung cancer). The KDR mRNA expression level and clinical parameters were analyzed by paired-sample t test, ANOVA and linear regression, respectively. The Kaplan-Meier method and the log-rank test were used for survival analysis. Expression of KDR protein was also examined immunohistochemically in 15 tumor samples and 15 matched normal lung specimens. RESULTS: The KDR mRNA expression levels were significantly higher in normal tissues (mean 4.50 +/- 0.51) than that in the carcinoma tissues (mean 4.12 +/- 0.50, P < 0.0005). KDR expression in tumor tissues is associated with the histological status, tumor stage, cigarette smoking, and N stage of the patients with lung cancer (P < 0.05) analyzed by using ANOVA methods. Multivariate analysis showed that tumor stages and cigarette smoking status were the two most important independent predictors for the KDR expression levels in tumor tissues (R = 0.415, R (2) = 0.172, F = 10.694, P < 0.0005). Tumors with KDR mRNA expression levels above the mean had a shorter survival (466 +/- 313 days) than did patients with KDR expression levels below the mean (671 +/- 264 days), whereas Kaplan-Meier analysis and log-rank test showed no significant difference in the overall survival between the patients (P = 0.2055). All the 15 normal lung tissues detected showed scale 2 KDR immunostaining. The intensity of immunostaining for KDR in tumor specimens varied from negative (scale 0) to strongest (scale 3) staining. CONCLUSIONS: Locally advanced and non-cigarette smoking patients with lung cancer may be the two valuable surrogate markers for KDR mRNA higher levels. Non-squamous lung cancer, N 2 stage may be the secondary markers for that. The KDR expression level in normal lung tissue is stable, but varied in tumor tissues. Targeting KDR therapy in lung cancer might considerate these clinical and KDR expression information. Further confirmation study must be needed.

[Study of the factors influencing the effect of the medical training of the students in a medical college].

By adopting epidemiologic description and comparison with known cases, the medical training of the students in a medical college was evaluated and the 57 factors influencing the effect of training examined, from which 18 risk factors were finally identified.

[Assessment of the changes in autonomic nervous function during head up tilt test in syncopal patients using spectral analysis of heart rate variability].

OBJECTIVE: To study the pathological mechanism of vasovagal syncope, spectral analysis of heart rate variability was used to evaluate the changes of autonomic function during head up tilt test in patients with unexplained syncope. METHODS: 27 patients with recurrent episodes of unexplained syncope underwent 70 degrees head up tilt test. Spectral analysis was used to assess the changes in autonomic function before tilt testing, immediately after tilting, just before the occurrence of syncope or at the end of the test, during the syncope period or at the end of the test and after testing in supine rest. At the same time, haemodynamic changes were recorded. Spectral power in very low frequency (VLF, 0.003 - 0.04 Hz), low frequency (LF, 0.04 - 0.15 Hz) and high frequency (HF, 0.15 - 2.00 Hz) were computed with Fast Fourier Transform analysis, and LF and HF were normalized: LF norm = 100 x LF/(TP-VLF) and HF norm = 100 x HF/(TP-VLF). RESULTS: 12 patients (mean age 40 +/- 10 years) showed a negative response and 15 patients (mean age 37 +/- 9 years) showed a positive response. Both systolic and diastolic blood pressure decreased in all the patients [(118.00 +/- 10.42-->81.00 +/- 12.36) mm Hg, P < 0.01 and (76.00 +/- 8.40-->52.00 +/- 10.95) mm Hg, P < 0.01] and heart rate decreased in 8 patients (53%). No significant difference in all the indices of spectral analysis was observed in supine position between the subjects with positive and negative test results. LF norm in both the groups did not alter during the entire tilt procedure. The decreased HF norm and increased LF/HF persisted throughout head up tilt test in the negative patients. In the positive patients, similar patterns of changes were observed before the occurrence of positive symptoms, and during the occurrence of the symptoms. HF norm abruptly rose (10.47 +/- 4.04-->32.95 +/- 10.48) and obviously exceeded that before tilt testing (23.44 +/- 4.20-->32.95 +/- 10.48, P < 0.05) and LF/HF dropped (3.28 +/- 0.39-->1.07 +/- 0.31, P < 0.01). At supine rest just after test, all the indices in both groups came back. CONCLUSIONS: In the supine position, autonomic function is similar between positive and negative subjects. Positive patients have a different pattern of response to the tilting test. The pathological mechanism leading to vasovagal syncope appears to be related with the abrupt and excessive increase of vagal activity.