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Abstract Triple-negative breast cancer (TNBC) is a highly aggressive cancer with distant metastasis. Accumulated evidence has demonstrated that exosomes are involved in TNBC metastasis. Elucidating the mechanism underlying TNBC metastasis has important clinical significance. In the present study, exosomes were isolated from clinical specimens and TNBC cell lines. Colony formation, EdU incorporation, wound healing, and transwell assays were performed to examine TNBC cell proliferation, migration, and metastasis. Macrophage polarization was evaluated by flow cytometry and RT-qPCR analysis of polarization markers. A mouse model of subcutaneous tumor was established for assessment of tumor growth and metastasis. RNA pull-down, RIP and Co-IP assays were used for analyzing molecular interactions. Here, we proved that high abundance of circRHCG was observed in exosomes derived from TNBC patients, and increased exosomal circRHCG indicated poor prognosis. Silencing of circRHCG suppressed TNBC cell proliferation, migration, and metastasis. TNBC cell-derived exosomes promoted M2 polarization via delivering circRHCG. Exosomal circRHCG stabilized BTRC mRNA via binding FUS and naturally enhanced BTRC expression, thus promoting the ubiquitination and degradation of TFEB in THP-1 cells. In addition, knockdown of BTRC or overexpression of TFEB counteracted exosomal circRHCG-mediated facilitation of M2 polarization. Furthermore, exosomal circRHCG promoted TNBC cell proliferation and metastasis by facilitating M2 polarization. Knockdown of circRHCG reduced tumor growth, metastasis, and M2 polarization through the BTRC/TFEB axis in vivo. In summary, exosomal circRHCG promotes M2 polarization by stabilizing BTRC and promoting TFEB degradation, thereby accelerating TNBC metastasis and growth. Our study provides promising therapeutic strategies against TNBC.

Background: Tumor antigenicity and efficiency of antigen presentation jointly influence tumor immunogenicity, which largely determines the effectiveness of immune checkpoint blockade (ICB). However, the role of altered antigen processing and presentation machinery (APM) in breast cancer (BRCA) has not been fully elucidated. Methods: A series of bioinformatic analyses and machine learning strategies were performed to construct APM-related gene signatures to guide personalized treatment for BRCA patients. A single-sample gene set enrichment analysis (ssGSEA) algorithm and weighted gene co-expression network analysis (WGCNA) were combined to screen for BRCA-specific APM-related genes. The non-negative matrix factorization (NMF) algorithm was used to divide the cohort into different clusters and the fgsea algorithm was applied to investigate the altered signaling pathways. Random survival forest (RSF) and the least absolute shrinkage and selection operator (Lasso) Cox regression analysis were combined to construct an APM-related risk score (APMrs) signature to predict overall survival. Furthermore, a nomogram and decision tree were generated to improve predictive accuracy and risk stratification for individual patients. Based on Tumor Immune Dysfunction and Exclusion (TIDE) method, random forest (RF) and Lasso logistic regression model were combined to establish an APM-related immunotherapeutic response score (APMis). Finally, immune infiltration, immunomodulators, mutational patterns, and potentially applicable drugs were comprehensively analyzed in different APM-related risk groups. IHC staining was used to assess the expression of APM-related genes in clinical samples. Results: In this study, APMrs and APMis showed favorable performances in risk stratification and therapeutic prediction for BRCA patients. APMrs exhibited more powerful prognostic capacity and accurate survival prediction compared to conventional clinicopathological features. APMrs was closely associated with distinct mutational patterns, immune cell infiltration and immunomodulators expression. Furthermore, the two APM-related gene signatures were independently validated in external cohorts with prognosis or immunotherapeutic responses. Potential applicable drugs and targets were mined in the APMrs-high group. APM-related genes were further validated in our in-house samples. Conclusion: The APM-related gene signatures established in our study could improve the personalized assessment of survival risk and guide ICB decision-making for BRCA patients.

Breast cancer patients’ outcomes have improved dramatically in recent years, but relapses and poor prognosis remain common due to its aggressiveness and heterogeneity. The development of reliable biomarkers is still needed for predicting prognosis and treatment effectiveness. Recently, a growing body of research suggests that pseudouridine synthases contribute to the development of many cancers, but their contribution to breast cancer remains largely unknown. Using an integrative analysis, we selected pseudouridine synthase1(PUS1) as the candidate biomarker. A tissue microarray of 131 breast cancer patients was then utilized to determine the clinical significance and prognostic value of PUS1. RNA sequencing analysis was conducted to identify downstream genes that differ between control and PUS1 knockdown cells. The effect of PUS1 on phenotypes of cells was assessed using cell proliferation, colony formation, and transwell invasion assays. We found that breast tumors overexpressed PUS1 compared with paired normal tissues. PUS1 expression was positively correlated with triple-negative breast cancer (TNBC) status (P= 0.020) and tumor grade (P

Abstract Background Lung adenocarcinoma (LUAD) is a common subtype of lung cancer with high recurrence rate and fatality. Circ_0001361 has been recognized as key regulators in various malignancies, but its roles in LUAD remain ambiguous. Methods Circ_0001361, miR-525-5p, and VMA21 levels were assessed by RT-qPCR. The growth and metastasis of LUAD cells were detected by MTT, colony formation, wound scratch, and transwell assays, respectively. The interaction between circ_0001361/VMA21 and miR-525-5p was detected by dual luciferase, RNA immunoprecipitation, and RNA pull-down assays. VMA21 protein level was detected by Western blotting. Nude mouse xenograft model was established to determine the role of circ_0001361 in tumor growth in vivo. Results Circ_0001361 was up-regulated, while miR-525-5p was down-regulated in LUAD tissues and cells. Functional experiments demonstrated that circ_0001361 drove LUAD cell growth and metastasis. Mechanistically, circ_0001361 functioned as a sponge of miR-525-5p to up-regulate downstream target VMA21 level. MiR-525-5p/VMA21 axis was involved in circ_0001361-mediated malignant phenotypes of LUAD cells. Finally, inhibition of circ_0001361 restrained in vivo xenograft tumor growth via regulating miR-525-5p/VMA21 axis. Conclusion Our findings elucidate that circ_0001361 facilitates the tumorigenesis and development of LUAD through miR-525-5p/VMA21 axis, providing evidence for circ_0001361 as a potential prognosis biomarker and therapeutic target for clinical treatment of LUAD.

The microRNA family, miR-30, plays diverse roles in regulating key aspects of neoplastic transformation, metastasis, and clinical outcomes in different types of tumors. Accumulating evidence proves that miR-30 family is pivotal in the breast cancer development by controlling critical signaling pathways and relevant oncogenes. Here, we review the roles of miR-30 family members in the tumorigenesis, metastasis, and drug resistance of breast cancer, and their application to predict the prognosis of breast cancer patients. We think miR-30 family members would be promising biomarkers for breast cancer and may bring a novel insight in molecular targeted therapy of breast cancer.

Objectives: Detection of mutations associated to nucleos(t)ide analogs and hepatitis B virus (HBV) genotyping are essential for monitoring treatment of HBV infection. We developed a multiplex polymerase chain reaction-ligase detection reaction (PCR-LDR) assay for the rapid detection of HBV genotypes and mutations associated with lamivudine, adefovir, and telbivudine resistance in HBV-infected patients. Methods: HBV templates were amplified by PCR, followed by LDR and electrophoresis on a sequencer. The assay was evaluated using plasmids that contained wild-type or mutant HBV sequences and 216 clinical samples. Results: The PCR-LDR assay and sequencing gave comparable results for 158 of the 216 samples (73.1%) with respect to mutation detection and genotyping. Complete agreement between the two methods was observed for all the samples (100%) at codon 180 and codon 204. Concordant results were observed for 99.4% of the 158 samples at codon 181 and 98.7% at codon 236. The genotyping results were completely concordant between the PCR-LDR assay and sequencing. The PCR-LDR assay could detect a proportion of 1% mutant plasmid in a background of wild-type plasmid. Conclusion: The PCR-LDR assay is sensitive and specific for detection of HBV genotypes and drug resistance mutations, and could be helpful for decision making in the treatment of HBV infection. Keywords: hepatitis B, drug resistance, mutation, genotype

Chemo-resistance is the leading cause of failure in cancer therapy, however, much remains to be understood about the intrinsic mechanisms. In the present study, we discovered the novel miR-4443 that regulated malignancy of breast cancer both in vitro and in vivo.We examined the expression of miR-4443 in MDA-MB-231/S and MDA-MB-231 Epirubicin-resistant cell lines with 76 breast cancer formalin-fixed paraffin-embedded tissues by real-time PCR. Also, we investigated the loss- and gain-functions of miR-4443 by MTT assay and flow cytometry. Furthermore, we detected miR-4443 mediated tissue inhibitor of metalloproteinase 2 expression in cells by TargetScan, RT-qPCR and western blot.We identified the up-regulated expression of miR-4443 in Epi-resistant cell lines versus MDA-MB-231/S cell(Epi versus S) and in post-chemotherapy FFPE tissues, along with statistically differential expressions in PR(partial response) versus SD(stable disease)/PD(progressive disease) patients. Overexpression of miR-4443 increased the IC50 value of Epi for the target cells transfected, while inhibition of miR-4443 could restored sensitivity of the target cells to Epi. Besides, down-regulation of endogenous miR-4443 by miRNA-inhibitors significantly enhanced Epi-induced apoptosis while up-regulation of miR-4443 by miRNA-mimics lead to less Epi-induced apoptotic cells. Consequently, changes in TIMP2 mRNA and protein expression revealed that miR-4443 mimics suppressed expression of TIMP2 and induced migration in breast cancer cells. Furthermore, TIMP2 expression associated with better prognosis(HR = 0.721, 95%CI: 0.529-0.983).We revealed that miR-4443 induced malignancy of breast cancer mainly in chemo-resistance aspect for the very first time, providing a novel biomarker in breast cancer diagnosis and therapy.

OBJECTIVES: Detection of mutations associated to nucleos(t)ide analogs and hepatitis B virus (HBV) genotyping are essential for monitoring treatment of HBV infection. We developed a multiplex polymerase chain reaction-ligase detection reaction (PCR-LDR) assay for the rapid detection of HBV genotypes and mutations associated with lamivudine, adefovir, and telbivudine resistance in HBV-infected patients. METHODS: HBV templates were amplified by PCR, followed by LDR and electrophoresis on a sequencer. The assay was evaluated using plasmids that contained wild-type or mutant HBV sequences and 216 clinical samples. RESULTS: The PCR-LDR assay and sequencing gave comparable results for 158 of the 216 samples (73.1%) with respect to mutation detection and genotyping. Complete agreement between the two methods was observed for all the samples (100%) at codon 180 and codon 204. Concordant results were observed for 99.4% of the 158 samples at codon 181 and 98.7% at codon 236. The genotyping results were completely concordant between the PCR-LDR assay and sequencing. The PCR-LDR assay could detect a proportion of 1% mutant plasmid in a background of wild-type plasmid. CONCLUSION: The PCR-LDR assay is sensitive and specific for detection of HBV genotypes and drug resistance mutations, and could be helpful for decision making in the treatment of HBV infection.

The objective of this study was to analyze the prevalence of drug-resistant HBV mutants in patients with treatment failure during the past seven years (2010-2016). 4055 HBV-infected patients who underwent HBV polymerase gene mutation test from 2010 to 2016 were enrolled. The nucleos(t)ide analogues (NAs) resistance mutation positions, including rtL180, rtA181, rtT184, rtS202, rtM204, rtI233, rtN236, rtI169, rtV173, and rtM250 were analyzed. Genotypic resistance mutations were detected in 30.8% (1248/4055) of the patients with treatment failure. Rates of drug-resistant mutations associated with LAM, ADV, ETV, and multidrug were 27.23% (1104/4055), 9.67% (392/4055), 3.69% (150/4055), and 0.79% (32/4055). Among the primary NA-resistant mutations, rtM204I (13.44%, 545/4055) occurred more frequently, followed by rtM204V, rtN236T, rtA181T, and rtA181V. For single-base mutations, rtL180M and rtA181V increased gradually during the past seven years, while rtM204I/V and rtN236T decreased after 2015. The development of drug-resistant mutations positively correlated with the consumption of ETV (r = 0.964, P = 0.002), and weakly correlated with that of LAM (r = 0.679, P = 0.109) and ADV (r = 0.429, P = 0.354). Moreover, single-base mutation rtA181V and multi-base mutations (rtL180M + M204I and rtL180M + M204V + M204I) were more common in HBV genotype C than those in genotype B (1.94% vs. 0.66%, 1.84% vs. 0.16%, 1.02% vs. 0.16%, respectively). NA-related mutations in HBV RT region increased in the past seven years, especially for LAM. Frequencies of rtL180M and rtA181T/V increased gradually in the past seven years, to which we should pay more attention. [ABSTRACT FROM AUTHOR]