Advancement and properties of circular RNAs in prostate cancer: An emerging and compelling frontier for discovering

Prostate cancer (PC) is the most common carcinoma among men worldwide which results in 26% of leading causes of cancer-related death. However, the ideal and effective molecular marker remains elusive. CircRNA, initially observed in plant-infected viruses and Sendai virus in 1979, is generated from pre-mRNA back-splicing and comes in to play by adequate expression. The differential expression in prostate tissues compared with the control reveals the promising capacity in modulating processes including carcinogenesis and metastasis. However, the biological mechanisms of regulatory network in PC needs to systemically concluded. In this review, we enlightened the comprehensive studies on the definite mechanisms of circRNAs affecting tumor progression and metastasis. What''s more, we validated the potential clinical application of circRNAs serving as diagnostic and prognostic biomarker. The discussion and analysis in circRNAs will broaden our knowledge of the pathogenesis of PC and further optimize the current therapies against different condition.     

Novel artificial intelligence machine learning approaches to precisely predict survival and site-specific recurrence in cervical cancer: A multi-institutional study

BackgroundMachine learning (ML) has been gradually integrated into oncologic research but seldom applied to predict cervical cancer (CC), and no model has been reported to predict survival and site-specific recurrence simultaneously. Thus, we aimed to develop ML models to predict survival and site-specific recurrence in CC and to guide individual surveillance.MethodsWe retrospectively collected data on CC patients from 2006 to 2017 in four hospitals. The survival or recurrence predictive value of the variables was analyzed using multivariate Cox, principal component, and K-means clustering analyses. The predictive performances of eight ML models were compared with logistic or Cox models. A novel web-based predictive calculator was developed based on the ML algorithms.ResultsThis study included 5112 women for analysis (268 deaths, 343 recurrences): (1) For site-specific recurrence, larger tumor size was associated with local recurrence, while positive lymph nodes were associated with distant recurrence. (2) The ML models exhibited better prognostic predictive performance than traditional models. (3) The ML models were superior to traditional models when multiple variables were used. (4) A novel predictive web-based calculator was developed and externally validated to predict survival and site-specific recurrence.ConclusionML models might be a better analytic approach in CC prognostic prediction than traditional models as they can predict survival and site-specific recurrence simultaneously, especially when using multiple variables. Moreover, our novel web-based calculator may provide clinicians with useful information and help them make individual postoperative follow-up plans and further treatment strategies.     

FAM96A和FAM96B结构与功能的研究进展

96序列相似的家庭成员A和B（family with sequence similarity 96 member A and B,FAM96A和FAM96B）是属于MIP18（MMS19-interacting protein of 18 kD）家族的2个高度保守的同源蛋白,MIP18是与有丝分裂纺锤体相关的MMDX（MMS19-MIP18-XPD）复合体的亚基。研究表明,FAM96A和FAM96B在人胃肠道间质瘤、结肠癌、肝癌、胃癌和乳腺癌等多种肿瘤组织中的表达显著降低,提示其可能是作为潜在的抑癌基因参与肿瘤的发生发展,但目前关于FAM96A和FAM96B在肿瘤发生发展过程中的作用机理并不十分清楚。此外,研究发现FAM96A和FAM96B可通过与其他不同的蛋白质相互作用在体内发挥多种不同的功能。因此,就目前对于FAM96A和FAM96B结构和功能的研究所取得的进展进行了回顾与总结,并对其在肿瘤发生发展中的分子机制和相互作用蛋白鉴定的研究前景进行了展望,以期为临床上将FAM96A和FAM96B作为新的肿瘤诊断标志物和治疗靶点奠定基础,并为揭示二者在体内更多的新功能提供依据。     

Interrogation of phosphor-specific interaction on a high-throughput label-free optical biosensor system–Epic® system

The Epic^® system, a high-throughput label-free optical biosensor system, is applied for the biochemical interrogation of phosphor-specific interactions of the 14-3-3 protein and its substrates. It has shown the capability not only for high-throughput characterization of binding rank and affinity but also for the exploration of potential interacting kinases for the substrates. A perspective of biochemical applications for diagnostics and biomarker discovery, as well as cell-based applications for endogenous receptors and viral infection characterization, are also provided.     

Live/dead state is not the factor influencing adhesion ability of Bifidobacterium animalis KLDS2.0603

Two essential requirements for probiotic bifidobacteria are that they be “live” and have “colonization” ability, following FAO/WHO guideline recommendations. The amount of research on the adhesion ability of bifidobacteria compares poorly with that of other probiotic bacteria, such as lactobacilli. The aim of the present study was to determine how gastrointestinal conditions affect the adhesion ability of bifidobacteria, and to investigate the relationship between the adhesion ability and the live/dead state of bifidobacteria. The adhesion ability of Bifidobacterium animalis KLDS2.0603 that had been subjected to the digestive enzymes, pepsin, trypsin, and proteinase K, was decreased significantly, but these treatments did not significantly change the strain’s survival rates, which were 98.78%, 97.60%, and 97.63% respectively. B. animalis KLDS2.0603 subjected to LiCl retained its adhesion ability but had a lower survival rate (59.28%) than the control group (P<0.01). B. animalis KLDS 2.0603 subjected to sodium metaperiodate exhibited higher adhesion ability than the control group (P<0.01), but the bacterial cells were killed totally. The results of transmission electron microscopy and laser scanning confocal microscopy showed that live/dead state of bifidobacteria was not one of the main factors that affected the adhesion ability of bifidobacteira, and that the substances affecting the adhesion ability of bifidobacteria were on the outer surface layer of the bifidobacterial cells. Our results also indicated that the substances related to the adhesion ability of bifidobacteria are proteinaceous. The above results will help us to understand the adhesion and colonization processes of bifidobacteria in the human gastrointestinal tract.     

Molecular characterization of methicillin-resistant Panton-valentine leukocidin positive <Emphasis Type="Italic">staphylococcus aureus</Emphasis> clones disseminating in Tunisian hospitals and in the community

Background

The spread of MRSA strains at hospitals as well as in the community are of great concern worldwide. We characterized the MRSA clones isolated at Tunisian hospitals and in the community by comparing them to those isolated in other countries.

Results

We characterized 69 MRSA strains isolated from two Tunisian university hospitals between the years 2004-2008. Twenty-two of 28 (79%) community-associated MRSA (CA-MRSA) strains and 21 of 41 (51%) healthcare-associated MRSA (HA-MRSA) strains were PVL-positive. The PVL-positive strains belonged to predicted founder group (FG) 80 in MLST and carried either type IVc SCCmec or nontypeable SCCmec that harbours the class B mec gene complex. In contrast, very diverse clones were identified in PVL-negative strains: three FGs (5, 15, and 22) for HA-MRSA strains and four FGs (5, 15, 45, and 80) for CA-MRSA strains; and these strains carried the SCCmec element of either type I, III, IVc or was nontypeable. The nucleotide sequencing of phi7401PVL lysogenized in a CA-MRSA strain JCSC7401, revealed that the phage was highly homologous to phiSA2mw, with nucleotide identities of more than 95%. Furthermore, all PVL positive strains were found to carry the same PVL phage, since these strains were positive in two PCR studies, identifying gene linkage between lukS and mtp (major tail protein) and the lysogeny region, both of which are in common with phi7401PVL and phiSa2mw.

Conclusions

Our experiments suggest that FG80 S. aureus strains have changed to be more virulent by acquiring phi7401PVL, and to be resistant to β-lactams by acquiring SCCmec elements. These novel clones might have disseminated in the Tunisian community as well as at the Tunisian hospitals by taking over existing MRSA clones.