Reprogrammed IDO-Induced Immunosuppressive Microenvironment Synergizes with Immunogenic Magnetothermodynamics for Improved Cancer Therapy.

Indoleamine 2,3-dioxygenase (IDO), highly expressed in hepatocellular carcinoma (HCC), plays a pivotal role in creating an immune-suppressive tumor microenvironment. Inhibiting IDO activity has emerged as a promising immunotherapeutic strategy; however, the delivery of IDO inhibitors to the tumor site is constrained, limiting their therapeutic efficacy. In this study, we developed a magnetic vortex nanodelivery system for the targeted delivery of the IDO inhibitor NLG919, integrated with magnetic hyperthermia therapy to reverse the immune-suppressive microenvironment of liver cancer and inhibit tumor growth. This system comprises thermoresponsive polyethylenimine-coated ferrimagnetic vortex-domain iron oxide nanorings (PI-FVIOs) loaded with NLG919 (NLG919/PI-FVIOs). Under thermal effects, NLG919 can be precisely released from the delivery system, counteracting IDO-mediated immune suppression and synergizing with NLG919/PI-FVIOs-mediated magnetothermodynamic (MTD) therapy-induced immunogenic cell death (ICD), resulting in effective HCC suppression. In vivo studies demonstrate that this combination therapy significantly inhibits tumor growth and metastasis by enhancing the accumulation of cytotoxic T lymphocytes and suppressing regulatory T cells within the tumor. Overall, our findings reveal that NLG919/PI-FVIOs can induce a potent antitumor immune response by disrupting the IDO pathway and activating the ICD, offering a promising therapeutic avenue for HCC treatment.

Vaginal microbiota molecular profiling and diagnostic performance of artificial intelligence-assisted multiplex PCR testing in women with bacterial vaginosis: a single-center experience.

Background: Bacterial vaginosis (BV) is a most common microbiological syndrome. The use of molecular methods, such as multiplex real-time PCR (mPCR) and next-generation sequencing, has revolutionized our understanding of microbial communities. Here, we aimed to use a novel multiplex PCR test to evaluate the microbial composition and dominant lactobacilli in non-pregnant women with BV, and combined with machine learning algorithms to determine its diagnostic significance. Methods: Residual material of 288 samples of vaginal secretions derived from the vagina from healthy women and BV patients that were sent for routine diagnostics was collected and subjected to the mPCR test. Subsequently, Decision tree (DT), random forest (RF), and support vector machine (SVM) hybrid diagnostic models were constructed and validated in a cohort of 99 women that included 74 BV patients and 25 healthy controls, and a separate cohort of 189 women comprising 75 BV patients, 30 intermediate vaginal microbiota subjects and 84 healthy controls, respectively. Results: The rate or abundance of Lactobacillus crispatus and Lactobacillus jensenii were significantly reduced in BV-affected patients when compared with healthy women, while Lactobacillus iners, Gardnerella vaginalis, Atopobium vaginae, BVAB2, Megasphaera type 2, Prevotella bivia, and Mycoplasma hominis were significantly increased. Then the hybrid diagnostic models were constructed and validated by an independent cohort. The model constructed with support vector machine algorithm achieved excellent prediction performance (Area under curve: 0.969, sensitivity: 90.4%, specificity: 96.1%). Moreover, for subjects with a Nugent score of 4 to 6, the SVM-BV model might be more robust and sensitive than the Nugent scoring method. Conclusion: The application of this mPCR test can be effectively used in key vaginal microbiota evaluation in women with BV, intermediate vaginal microbiota, and healthy women. In addition, this test may be used as an alternative to the clinical examination and Nugent scoring method in diagnosing BV.

Identification of ASF1A and HJURP by global H3-H4 histone chaperone analysis as a prognostic two-gene model in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a malignancy with poor prognosis. Abnormal expression of H3-H4 histone chaperones has been identified in many cancers and holds promise as a biomarker for diagnosis and prognosis. However, systemic analysis of H3-H4 histone chaperones in HCC is still lacking. Here, we investigated the expression of 19 known H3-H4 histone chaperones in HCC. Integrated analysis of multiple public databases indicated that these chaperones are highly expressed in HCC tumor tissues, which was further verified by immunohistochemistry (IHC) staining in offline samples. Additionally, survival analysis suggested that HCC patients with upregulated H3-H4 histone chaperones have poor prognosis. Using LASSO and Cox regression, we constructed a two-gene model (ASF1A, HJURP) that accurately predicts prognosis in ICGC-LIRI and GEO HCC data, which was further validated in HCC tissue microarrays with follow-up information. GSEA revealed that HCCs in the high-risk group were associated with enhanced cell cycle progression and DNA replication. Intriguingly, HCCs in the high-risk group exhibited increased immune infiltration and sensitivity to immune checkpoint therapy (ICT). In summary, H3-H4 histone chaperones play a critical role in HCC progression, and the two-gene (ASF1A, HJURP) risk model is effective for predicting survival outcomes and sensitivity to immunotherapy for HCC patients.

LINC00540 promotes sorafenib resistance and functions as a ceRNA for miR-4677-3p to regulate AKR1C2 in hepatocellular carcinoma.

Sorafenib resistance is one of the main causes of poor prognosis in patients with advanced hepatocellular carcinoma (HCC). Long noncoding RNAs (lncRNAs) function as suppressors or oncogenic factors during tumor progression and drug resistance. Here, to identify therapeutic targets for HCC, the biological mechanisms of abnormally expressed lncRNAs were examined in sorafenib-resistant HCC cells. Specifically, we established sorafenib-resistant HCC cell lines (Huh7-S and SMMC7721-S), which displayed an epithelial-mesenchymal transition (EMT) phenotype. Transcriptome sequencing (RNA-Seq) was performed to established differential lncRNA expression profiles for sorafenib-resistant cells. Through this analysis, we identified LINC00540 as significantly up-regulated in sorafenib-resistant cells and a candidate lncRNA for further mechanistic investigation. Functionally, LINC00540 knockdown promoted sorafenib sensitivity and suppressed migration, invasion, EMT and the activation of PI3K/AKT signaling pathway in sorafenib-resistant HCC cells, whereas overexpression of LINC00540 resulted in the opposite effects in parental cells. LINC00540 functions as a competing endogenous RNA (ceRNA) by competitively binding to miR-4677-3p , thereby promoting AKR1C2 expression. This is the first study that demonstrates a role for LINC00540 in enhancing sorafenib resistance, migration and invasion of HCC cells through the LINC00540/miR-4677-3p/AKR1C2 axis, suggesting that LINC00540 may represent a potential therapeutic target and prognosis biomarker for HCC.

Development of an ARMS multiplex real-time PCR assay for the detection of HLA-B*13:01 genotype by detecting highly specific SNPs.

OBJECTIVES: HLA-B*13:01 was strongly associated with Dapsone Hypersensitivity Syndrome (DHS). This study aimed to develop and validate a rapid and economical method for HLA-B*13:01 genotyping. METHODS: Two tubes multiplex real-time PCR detection system comprising amplification refractory mutation system primers and TaqMan probes was established for HLA-B*13:01 genotyping. Sequence-based typing was applied to validate the accuracy of the assay. RESULTS: The accuracy of the assay was 100% for HLA-B*13:01 genotyping. The detection limit of the new method was 0.025 ng DNA. The positive rate of HLA-B*13:01 in the Bouyei (20%, n = 50) populations was significantly higher than that in the Uighur population (4%, n = 100), Han (4.5%, n = 200), and Tibetan (1%, n = 100) ( P  < 0.05). CONCLUSION: The proposed method is rapid and reliable for HLA-B*13:01 screening in a clinical setting.

Single-cell transcriptomics reveals ferrimagnetic vortex iron oxide nanoring-mediated mild magnetic hyperthermia exerts antitumor effects by alleviating macrophage suppression in breast cancer.

The potential of Ferrimagnetic vortex iron oxide nanoring-mediated mild magnetic hyperthermia (FVIO-MHT) in solid tumor therapy has been demonstrated. However, the impact of FVIO-MHT on the tumor microenvironment (TME) remains unclear. This study utilized single-cell transcriptome sequencing to examine the alterations in the TME in response to FVIO-MHT in breast cancer. The results revealed the cellular composition within the tumor microenvironment (TME) was primarily modified due to a decrease in tumor cells and an increased infiltration of myeloid cells. Subsequently, an enhancement in active oxygen (ROS) metabolism was observed, indicating oxidative damage to tumor cells. Interestingly, FVIO-MHT reprogrammed the macrophages' phenotypes, as evidenced by alterations in the transcriptome characteristics associated with both classic and alternative activated phenotypes. And an elevated level of ROS generation and oxidative phosphorylation suggested that activated phagocytosis and inflammation occurred in macrophages. Additionally, cell-cell communication analysis revealed that FVIO-MHT attenuated the suppression between tumor cells and macrophages by inhibiting phagocytic checkpoint and macrophage migration inhibitory factor signaling pathways. Inhibition of B2m, an anti-phagocytosis checkpoint, could promote macrophage-mediated phagocytosis and significantly inhibit tumor growth. These data emphasize FVIO-MHT may promote the antitumor capabilities of macrophages by alleviating the suppression between tumor cells and macrophages.

Clinical application of single nucleotide polymorphism microarray analysis in pregnancy loss in Northwest China.

Background: Spontaneous abortion is the most common complication of early pregnancy. In this study, we aim to investigate the clinical application value of genetic diagnosis using single nucleotide polymorphism (SNP) microarray analysis on the products of conception and to characterize the types of genetic abnormalities and their prevalence in pregnancy loss in Northwest China. Methods: Over 48 months, we selected 652 products of conception, which included chorionic villi, fetal tissues, germ cell samples, amniotic fluid samples, cord blood samples, and a cardiac blood sample. We analyzed the distribution of chromosomal abnormalities leading to fetal arrest or abortion using SNP array. The patients were then categorized divided into groups based on maternal age, gestational age, number of miscarriages, and maternal ethnic background. The incidences of various chromosomal abnormalities in each group were compared. Results: Of the 652 cases, 314 (48.16%) exhibited chromosomal abnormalities. These included 286 cases with numerical chromosomal abnormalities, 24 cases with copy number variation, and four cases with loss of heterozygosity. Among them, there were 203 trisomy cases, 55 monosomy cases, and 28 polyploidy cases. In the subgroup analysis, significant differences were found in the frequency of numerical chromosomal abnormalities and copy number variation between the advanced and younger maternal age group as well as between the early and late abortion groups. Furthermore, we identified significant differences in the frequency of numerical chromosomal abnormalities between the first spontaneous abortion and recurrent miscarriage groups. However, there were no significant differences in the frequency of numerical chromosomal abnormalities between the Han and Uighur groups. Conclusion: Our research highlights chromosomal abnormalities as the primary cause of spontaneous abortion, with a higher incidence in early pregnancy and among women of advanced age. The use of SNP array analysis emerges as an effective and reliable technique for chromosome analysis in aborted fetuses. This method offers a comprehensive and dependable genetic investigation into the etiology of miscarriage, establishing itself as a valuable routine selection for genetic analysis in cases of natural abortions.

Association Analysis of Gene Sequencing by NeoSeq Combined with Tandem Mass Spectrum and Four Neonatal Diseases.

BACKGROUND: NeoSeq is a new method of gene sequencing for newborn screening. The goal is to explore the relationship between gene sequencing by NeoSeq combined with tandem mass spectrum (TMS) and four neonatal diseases. METHODS: A total of 1,989 newborns from August 2010 to December 2021 were enrolled. The case number of congenital hypothyroidism, phenylketonuria, adrenocortical hyperplasia, and glucose-6-phosphate dehydrogenase deficiency was counted, and the results of gene sequencing by NeoSeq and TMS were analyzed. RESULTS: The proportion of male newborns was higher than that of female newborns (51.68% vs. 48.32%). The detection rate of glucose-6-phosphate dehydrogenase deficiency was higher than that of the other three diseases (0.60% vs. 0.05%, 0.05%, 0.15%). A total of 121 newborns were recalled from 1989 newborns by traditional screening technique, and TMS detected phenylketonuria, citrullinemia, glutaric acidemia type I, and 3-methylcro-tonyl-CoA carboxylase deficiency in 1 newborn each. Gene sequencing by NeoSeq of newborns with positive TMS results confirmed the presence of susceptibility genes, and 17 of 1,868 newborns with normal biochemical tests had pathogenic genes. CONCLUSIONS: The incidence of glucose-6-phosphate dehydrogenase deficiency is relatively higher in four neonatal diseases, and the detection rate of gene sequencing by NeoSeq combined with TMS is high.

Identification of novel lncRNA prognostic biomarkers and their associated ceRNAs in bladder urothelial carcinoma.

Bladder urothelial carcinoma (BUCA) is a common malignant tumor with a high rate of metastasis and recurrence. The lack of specific and sensitive biomarkers for the prognostic assessment makes it important to seek alternatives. Recent studies have demonstrated that long noncoding RNAs (lncRNAs) function as competitive endogenous RNAs (ceRNAs) and play an important role in BUCA prognosis. Therefore, this study aimed to establish a prognosis-related lncRNAs-microRNAs (miRNAs)-messenger RNA (mRNA) (pceRNA) network and identify novel prognostic biomarkers. Integrated weighted coexpression analysis, functional clustering, and ceRNA network were used for the prognostic assessment of BUCA. The transcriptome sequencing datasets of lncRNA, miRNA, and mRNA from The Cancer Genome Atlas database were used for the identification of key lncRNAs and construction of the lncRNAs expression signature for prognostic prediction of BUCA patients. Then, 14 differentially expressed lncRNAs (DE-lncRNAs) were identified as candidate prognostic RNAs based on the ceRNAs network and functional clustering. In the Cox regression analysis, two (AC008676.1 and ADAMTS9-AS1) of all DE-lncRNAs were significantly associated with overall survival (OS) of BUCA patients. This two DE-lncRNA signature was significantly correlated with OS and was an independent prognostic factor, which was confirmed in an independent dataset of GSE216037. Moreover, we constructed the pceRNA network that includes 2 DE-lncRNAs, 9 DE-miRNAs, and 10 DE-mRNAs. Pathway enrichment analysis showed that AC008676.1 and ADAMTS9-AS1 are involved in several cancer-related pathways such as proteoglycans in cancer and TGF-beta signaling pathway. The novel-identified DE-lncRNA prognostic signature and the pceRNA network in this study will be valuable risk predictors and diagnostic markers for BUCA.

Molecular subtypes and tumor microenvironment infiltration signatures based on cuproptosis-related genes in colon cancer.

Background: Colon cancer is one of the common cancers, and its prognosis remains to be improved. The role of cuproptosis as a newly discovered form of cell death in the development of colon cancer has not been determined. Methods: Based on 983 colon cancer samples in the TCGA database and the GEO database, we performed a comprehensive genomic analysis to explore the molecular subtypes mediated by cuproptosis-related genes. Single-sample gene set enrichment analysis (ssGSEA) was utilized to quantify the relative abundance of each cell infiltrate in the TME. A risk score was established using least absolute shrinkage and selection operator regression (LASSO), and its predictive ability for colon cancer patients was verified to explore its guiding value for treatment. Results: We identified two distinct cuproptosis-related molecular subtypes in colon cancer. These two distinct molecular subtypes can predict clinicopathological features, prognosis, TME activity, and immune-infiltrating cells. A risk model was developed and its predictive ability was verified. Compared with patients in the high-risk score group, patients in the low-risk score group were characterized by lower tumor microenvironment score, higher stem cell activity, lower tumor mutational burden, lower microsatellite instability, higher sensitivity to chemotherapeutics, and better immunotherapy efficacy. Conclusion: This study contributes to understanding the molecular characteristics of cuproptosis-related subtypes. We demonstrate a critical role for cuproptosis genes in colon cancer s in the TME. Our study contributes to the development of individualized treatment regimens for colon cancer.

Deep-blue thermally activated delayed fluorescence carbon dots with ultralong lifetime.

Carbon dots (CDs) with deep-blue thermally activated delayed fluorescence (TADF) of more than 2 s were developed, exhibiting the longest lifetime to date. In contrast to the established deep-blue TADF systems, this developed CD-based system (BNCDs) could be facilely and effectively synthesized, and more impressively, the emission lasted for more than 16 s (to the naked eye). XRD, TEM, FT-IR, and XPS analyses were conducted, and structural characterizations indicated that the CDs formed hydrogen bonding with B2O3. The temperature-dependent photoluminescence (PL) spectra demonstrated the existence of thermally activated delayed fluorescence in the composite. Further studies revealed that the B2O3 matrix restricted the vibration and rotation of CD chromophores and suppressed the non-radiative recombination of triplet excitons. Last but not least, potential applications in bioimaging, anti-counterfeiting, and information encryption were also explored. This work can provide new insights for developing metal-free and ultralong lifetime afterglow materials.

A single-tube multiplex real-time PCR for HLA-B*38:02 genotype by detecting highly specific SNPs.

Purpose: HLA-B*38:02 is closely related to carbimazole/methimazole-induced agranulocytosis. This study aimed to develop and validate a rapid and economical method for HLA-B*38:02 genotyping. Methods: A single-tube multiplex real-time PCR detection system comprising amplification refractory mutation system primers and TaqMan probes was established for HLA-B*38:02 genotyping. Sequence-based typing was applied to validate the accuracy of the assay. Results: The accuracy of the assay was 100% for HLA-B*38:02 genotyping. The detection limit of the new method was 0.05 ng DNA. The positive rate of HLA-B*38:02 in the Han (8%, n = 100), Bouyei (17.8%, n = 90) and Tibetan (12.7%, n = 110) populations was significantly higher than that in the Uighur population (1%, n = 100) (p < 0.05). Conclusion: The proposed method is rapid and reliable for HLA-B*38:02 screening in a clinical setting.

rs144012689 is a highly specific representative marker of HLA-B*15:02 in the Chinese population.

Objective: To develop an accurate and rapid real-time PCR technique for HLA-B*15:02 genotyping and investigate HLA-B*15:02 allele frequency in four ethnic populations in China. Materials & methods: Based on the highly specific representative markers, a real-time PCR assay was developed for HLA-B*15:02 genotyping, and HLA-B*15:02 allele frequencies were screened in four ethnic populations of China. Sequence-based typing was used to validate the accuracy of the assay. Results: The sensitivity and specificity of the assay were 100%, and the detection limit was 0.2 ng. The frequency of HLA-B*15:02 alleles distributed in the Bouyei population was significantly higher than in the Han group (p < 0.01). Neither the Tibetan nor the Uyghur population carried the HLA-B*15:02 haplotype. Conclusion: The authors developed an accurate HLA-B*15:02 genotyping method for evaluating the risk of adverse drug reactions induced by carbamazepine in various ethnic populations in China.

A Predictive Nomogram for Atypical Meningioma Based On Preoperative Magnetic Resonance Imaging and Routine Blood Tests.

OBJECTIVE: The objective of the study was to establish a 5-year progression-free survival prediction nomogram using preoperative routine blood tests and magnetic resonance imaging to guide postoperative treatment. METHODS: Our study was a retrospective analysis of patients with atypical meningioma admitted into our facility from January 31, 2010, to January 31, 2016. We used single-factor logistic analysis to extract valuable indicators from preoperative blood test results and 3D Slicer software to extract radiomic features from magnetic resonance imaging. The radiomics score was calculated by least absolute shrinkage and selection operator logistic regression analysis. We then combined blood indicators and radiomic signatures to construct a radiomic nomogram image. The performance of the model was evaluated comprehensively using the following three aspects: recognition ability, accuracy, and clinical value. RESULTS: Six significant radiological features were selected through least absolute shrinkage and selection operator logistic regression analysis. The radiometric label established by these six features has satisfactory predictive performance. The area under the curve in the training group was 0.885 (95% confidence interval, 0.8037-0.9659), and the area under the curve in the validation set was 0.789 (95% confidence interval, 0.6092-0.9686). We used the combined image tags and preoperative leukocyte and neutrophil count to construct a 5-year progression-free survival prediction nomogram. CONCLUSIONS: The analysis results of the calibration curve and the decision curve show that the nomogram constructed by combining radiomics and preoperative blood tests has a good predictive value for 5-year progression-free survival in atypical meningioma and can provide a reference for selecting postoperative treatment options.

Nucleolar protein 6 promotes cell proliferation and acts as a potential novel prognostic marker for hepatocellular carcinoma.

BACKGROUND: Nucleolar protein 6 (NOL6) is a nucleolar RNA-associated protein that is highly conserved between species. It has been proved to be associated with the prognosis of liver cancer. However, the underlying mechanism has not been fully established. This study aimed to assess the relationship between NOL6 and liver cancer prognosis. METHODS: We constructed an NOL6-short hairpin RNA (shRNA)-expressing lentivirus. Through viral transfection, cell growth assay and fluorescence-activated cell sorting, we evaluated the effect of shRNA-mediated NOL6 knockdown on the proliferation, colony formation, and apoptosis of hepatocellular carcinoma (HCC) cells. The relationship between NOL6 expression and HCC patient survival has been established through bioinformatics analysis. We also explored the downstream molecular regulatory network of NOL6 in HCC by performing an Ingenuity Pathway Analysis in the database. RESULTS: Increased NOL6 expression was detected in HCC cells compared to normal controls; HCC patients with high NOL6 expression had poorer prognoses than those with low expression. NOL6 knockdown inhibited HCC cell proliferation, apoptosis, and colony formation. Also, MAPK8, CEBPA, and FOSL1 were selected as potential downstream genes of NOL6. CONCLUSIONS: NOL6 up-regulates HCC cell proliferation and affects downstream expression of related genes. Moreover, NOL6 is considered to be associated with poor prognosis in HCC patients.

Overexpression of TMEM47 Induces Tamoxifen Resistance in Human Breast Cancer Cells.

BACKGROUND: Tamoxifen (TAM) is the eminent first-line drug for endocrine therapy of hormone receptor positive premenopausal breast cancer and reduces the risk of recurrence by ∼50%. However, many patients developed TAM resistance and their diseases recurred. Our previous study on transcriptome profile of TAM resistant breast cancer cells revealed that the TMEM47 is one of the most significantly differentially expressed genes. The mechanism of how TMEM47 is involved in TAM resistance was not known. METHODS: We constructed a mammal breast cancer cell line, in which TMEM47 was stably overexpressed (TMEM47-OE/MCF-7), to further verify the role of TMEM47 in TAM resistance. siRNA targeting TMEM47 was transfected into TAMR / MCF-7 cells by Liposome. TMEM47 expression was validated on mRNA and protein level by qRT-PCR and western blotting. We tested the cytotoxicity of TAM in the cells. Apoptosis was detected by flow cytometry. RESULTS: Compared to the MCF7 cells, TMEM47 mRNA was significantly up regulated more than 6 folds in the TAMR/MCF7 cells and so its protein. TMEM47 expression level in TMEM47-OE/MCF-7 was similar as in the TAMR/MCF-7 cells. The 50% inhibitory concentration (IC50) value (mean ± SD) of TAM in MCF-7, TAMR/MCF-7 and TMEM47-OE/MCF-7 cells was 1.58 ± 0.19, 2.74 ± 0.24 and 3.12 ± 0.32 µÎ³/mL, respectively. The apoptosis rates of TAMR/MCF-7 and TMEM47-OE/MCF-7 cell lines were significantly lower than that of MCF-7 cells. After 24 and 48 hours TAM treatments, cell viability was significantly inhibitied in TMEM47 knockdown TAMR/MCF7 cells (P < 0.01). Consistant with the decreased cell viability, the apoptosis rate in TMEM47 knockdown TAMR/MCF-7 cells was significantly increased. CONCLUSIONS: Our results suggest that overexpression of TMEM47 in MCF-7 cells acquired TAM resistance to those cells, and knockdown of TMEM47 in TAMR/MCF-7 cells reversed their resistance to TAM. TMEM47 might confer TAM resistance on MCF-7 cells through the inhibition of apoptosis.

MiR-1254 and MEGF6 regulates oxaliplatin resistance in human colorectal cancer cells.

Colorectal cancer (CRC) remains one of the deadliest diseases in the whole world. Cancer recurrence and chemotherapeutic drug resistance limit the overall survival rate of patients with CRC. This study aimed to discover the latent miRNAs and genes associated with oxaliplatin resistance in CRC cells. The study found that miR-1254 is upregulated in oxaliplatin-resistant CRC cell line HCT116-R compared with its parental cell line HCT116 by transcriptome sequencing and small RNA sequencing. Meanwhile, MEGF6 (multiple EGF-like domains 6) was downregulated in HCT116-R cells. Transient transfection of miR-1254 mimics significantly reduced cell apoptosis, increased HCT116 tolerance to oxaliplatin, and enhanced MEGF6 expression. Furthermore, transfection of miR-1254 inhibitor increased apoptosis, decreased HCT116-R tolerance to oxaliplatin, and reduced MEGF6 expression. In addition, transient transfection of SiMEGF6 enhanced HCT116 cell resistance to oxaliplatin and reduced cell apoptosis. In summary, MEGF6 is a latent functional target of miR-1254 in regulating oxaliplatin resistance and apoptosis in human CRC cells, suggesting a potential therapeutic target for CRC.

Comprehensive expression-based isoform biomarkers predictive of drug responses based on isoform co-expression networks and clinical data.

Drug sensitivity biomarkers are molecular features informative for drug response. Previous studies have identified many candidate drug-sensitivity signatures at the transcript level based on significant p values. However, the potential of sensitivity biomarkers has not been sufficiently understood because these investigations have focused on individual biomarkers and have not been carried out at the systems level. In this study, we applied a meta-analytical framework to compute co-expression between isoform pairs in two large datasets of RNA-seq profiles of breast cancer cell lines. We then built hallmark-related direct (HRD) networks by integrating a breast cancer specific isoform co-expression (BCIC) network and hallmark-related isoforms. Next, we explored the associations between isoform biomarkers and the functional clusters of the HRD network. The crucial isoform-based biomarkers for drugs were identified by functional clusters analysis and elucidated by combining isoform expression profiles with clinical information for breast cancer in The Cancer Genome Atlas.

Diversity and frequency of resistance and virulence genes in bla KPC and bla NDM co-producing Klebsiella pneumoniae strains from China.

BACKGROUND: Emergence of bla KPC and bla NDM co-producing Klebsiella pneumoniae strains have led to the limited therapeutic options for clinical treatment. Understanding the diversity and frequency of resistance and virulence genes of these isolates is of great significance. PURPOSE: The aim of this study is to research the diversity and frequency of resistance and virulence genes in the bla KPC and bla NDM co-producing Klebsiella pneumoniae strains. METHODS AND RESULTS: In this study, 117 K. pneumonia strains were isolated from China, and among of which, 24 were found to be bla KPC and bla NDM co-producing with significant resistance against almost all the commonly used antibiotics. Additionally, 4 strains were hypermucoviscous and 8 showed high serum resistance. Overall, bla SHV, bla CTX-M, tetA and sul1 resistance genes found in 100% of the isolates, followed by bla TEM (95.8%), oqxA/B (91.7%), qnrB (87.5%), aac(6')Ib-cr (83.3%), bla DHA (79.2%), rmtB (66.7%), qnrS (54.2%), cat(54.2%), floR (50.0%), sul2 (45.8%) cmlA (20.8%)andbla CMY (8.33%), respectively. What' more, seven bla CTX-M subtypes [bla CTX-M-14 (n=18), bla CTX-M-3(n=11), bla CTX-M-65 (n=4), bla CTX-M-15 (n=3), bla CTX-M-28 (n=2), bla CTX-M-55 (n=2), bla CTX-M-22 (n=1)] and six bla SHV subtypes [bla SHV-12(n=16), bla SHV-11 (n=4), bla SHV-2a(n=1), bla SHV-1(n=1), bla SHV-38(n=1) and bla SHV-28(n=1)] were detected. The frequency of virulence genes was as follows: 100% for entB, ybtS and irp, 95.8% for mrkD, 91.66% for fimH, 79.2% for iutA, 62.5% for iroBCDE, aerobactin and kfu, 66.7% for allS, 45.8% for wcaG, 37.5% for rmpA, 20.8% for pagO and 16.7% for magA. CONCLUSION: From this study, we concluded that the bla KPC and bla NDM co-producing Klebsiella pneumoniae strains have a high diversity and frequency of resistance and virulence genes. This study may offer hospitals important information about the control of infections caused by bla KPC and bla NDM co-producing Klebsiella pneumoniae.