TRIM29 facilitates proliferation and malignancy of cholangiocarcinoma cells by activating MAPK and ß-catenin pathways.

BACKGROUND: Tripartite motif-containing 29 (TRIM29) has been found to be involved in the regulation of cancer progression and its function varies depending on the type of cancer. However, the role of TRIM29 in cholangiocarcinoma has yet to be revealed. PURPOSE: This study initially explored the role of TRIM29 in cholangiocarcinoma. METHODS: TRIM29 expression in cholangiocarcinoma cells were scrutinized by quantitative real-time reverse transcription polymerase chain reaction and Western blot. The function of TRIM29 on cholangiocarcinoma cell viability, proliferation, migration and sphere formation abilities were studied by cell count kit-8, clone formation, Transwell and sphere formation assays. TRIM29 effect on the expression of proteins associated with epithelial-mesenchymal transition and cancer stem cell characteristics were researched by Western blot. TRIM29 effect on MAPK and ß-catenin pathway activity was researched through Western blot. RESULTS: TRIM29 was overexpressed in cholangiocarcinoma cells. TRIM29 silencing mitigated the viability, proliferation, migration and sphere formation abilities of cholangiocarcinoma cells, increased E-cadherin expression and decreased the expression of N-cadherin, Vimentin, CD33, Sox2 and Nanog proteins in cholangiocarcinoma cells. The loss of TRIM29 suppressed the expression of p-MEK1/2/MEK1/2 and p-ERK1/2/ERK1/2 in cholangiocarcinoma cells. The inhibition of the MAPK and ß-catenin signaling pathways abrogated the promotion of TRIM29 on cholangiocarcinoma cell viability, proliferation, migration, EMT, and cancer stem cell characteristics. CONCLUSION: TRIM29 plays an oncogenic role in cholangiocarcinoma. It may promote the malignancy of cholangiocarcinoma via inducing the activation of the MAPK and ß-catenin pathways. Thus, TRIM29 may aid in the creation of innovative treatment strategies for cholangiocarcinoma.

Interventional effect of dietary fiber on blood glucose and pregnancy outcomes in patients with gestational diabetes mellitus.

To investigate the effect of dietary fiber on blood glucose and pregnancy outcomes in patients with gestational diabetes mellitus (GDM). One hundred and twelve patients with GDM in the second trimester of pregnancy were recruited from Women's Hospital, Zhejiang University School of Medicine. Patients were randomized into two groups with 56 in each group: the control group received basic nutrition support; while the dietary fiber group were given additional dietary fiber ( total dietary fiber per day) before meals in addition to basic nutrition support. Intervention for all cases lasted for 8 weeks. Fasting blood glucose and postprandial blood glucose (2 h BG) were measured every week, and oral glucose tolerance test (OGTT) was performed at 42 d postpartum to evaluate the glycemic outcomes. Perinatal outcomes were recorded. The dietary fiber intervention markedly improved 2 h BG in patients with GDM and significantly elevated the glucose compliance rate from the 3rd to 8th week compared to the control group ( <0.05 or <0.01). OGTT 2 h glucose and the incidence of impaired glucose tolerance in the dietary fiber group were significantly lower than those in the control group, while the glucose compliance rate was significantly higher than that in the control group (all <0.01). Moreover, the rates of adverse perinatal outcomes, such as premature rupture of membranes and neonatal hyperbilirubinemia were declined in the dietary fiber group (<0.05 or <0.01). Dietary fiber intervention can ameliorate hyperglycemia in GDM patients, improve perinatal outcomes and reduce the incidence of postpartum impaired glucose tolerance.

Cross-talk between the gut microbiota and monocyte-like macrophages mediates an inflammatory response to promote colitis-associated tumourigenesis.

OBJECTIVE: Macrophages are among the most abundant cells in the colon tumour microenvironment, and there is a close relationship among monocytes, macrophages and the gut microbiota. Alterations in the gut microbiota are involved in tumour development, but the underlying mechanisms remain unclear. We aim to elucidate the temporal changes in macrophage subsets and functions, and how these dynamics are regulated by microbial cues in the initiation of colitis-associated cancer. DESIGN: A mouse model of colitis-associated tumourigenesis was established to determine macrophage dynamics. The role of monocyte-like macrophage (MLM) was confirmed by targeting its chemotaxis. The effects of the gut microbiota were assessed by antibiotic treatment and faecal microbiota transplantation. RESULTS: A selective increase in MLMs was observed in the initial stages of colitis-associated cancer, with an enhanced secretion of inflammatory cytokines. MLM accumulation was regulated by CCL2 expression of colonic epithelial cells, which was influenced by bacteria-derived lipopolysaccharide (LPS). LPS further stimulated interleukin 1ß production from MLMs, inducing interleukin-17-producing T-helper cell activation to promote inflammation. These observations were also supported by altered microbial composition associated with human colitis and colorectal cancer, evolving transcriptional signature and immune response during human colitis-associated tumourigenesis. CONCLUSIONS: The gut microbiota uses LPS as a trigger to regulate MLM accumulation in a chemokine-dependent manner and generate a precancerous inflammatory milieu to facilitate tumourigenesis.

Prevalence and clinical outcomes of germline mutations in BRCA1/2 and PALB2 genes in 2769 unselected breast cancer patients in China.

To gain more information on the prevalence of germline mutations in BRCA1/2 and PALB2 genes in the Chinese population, and to explore the effects of the mutation status of these genes on clinical outcomes in patients with breast cancer, we performed a screening for BRCA1/2 and PALB2 mutations in a consecutive series of unselected breast cancer patients in the Chinese population. A total of 2,769 cases were enrolled between June 1993 and September 2017. All of the exons and exon-intron boundaries of the BRCA1/2 and PALB2 genes were screened with next-generation sequencing. Of the 2,769 breast cancer patients, BRCA1, BRCA2 and PALB2 mutations accounted for 2.7% (n = 74), 2.7% (n = 76), and 0.9% (n = 24), respectively. The BRCA1 gene had the highest mutation frequency in patients with triple-negative breast cancer (TNBC), which was 9.6% (n = 42), while the BRCA2 gene had the highest mutation frequency in patients with Luminal, which was 3.2% (n = 58). The disease-free survival (DFS) of BRCA1 mutation carriers was significantly lower than that of noncarriers (adjusted HR = 2.20, 95% CI = 1.15-4.18, p = 0.017). The mutation status of the PALB2 gene was significantly associated with the decline in overall survival (OS) (adjusted HR = 8.38, 95% CI = 2.19-32.11, p = 0.002). No significant difference was found between BRCA2 pathogenic mutation carriers and noncarriers. These results demonstrate that BRCA1 mutation status may be associated with a worse disease progression in patients with breast cancer, and women who harbored a PALB2 mutation might be at a higher risk of death due to breast cancer compared to noncarriers.

Germline mutations of PALB2 gene in a sequential series of Chinese patients with breast cancer.

BACKGROUND: PALB2 (Partner and Localizer of BRCA2) is recently recognized as a breast cancer predisposition gene. Germline loss-of-function mutations in PALB2 lead to increased breast cancer risk. Since the germline mutation frequency of PALB2 is much less than BRCA1/2, the distinct mutation spectrum of PALB2 is still obscure. To verify the utility of PALB2 genetic testing in Chinese population, we assessed the mutational frequency, spectrum, and predictors of the PALB2 gene in a sequential series of Chinese breast cancer patients from our Research DNA Bank. METHODS: We examined breast cancer samples (n = 2279) collected from 2000 through 2016 from Chinese patients who agreed to participate in research DNA banking. To identify the mutations, complete coding sequence and intron-exon boundaries of PALB2 were screened with Next-Generation Sequencing. Personal and family histories were synchronously collected for mutation identification. RESULTS: Among the 2279 breast cancer patients, 305 patients were familial breast cancer cases and the rest 1967 patients were sporadic breast cancer cases. PALB2 loss-of-function mutation carriers accounted for 1.31% (n = 4) and 0.56% (n = 11) in familial and sporadic breast cancer cohort separately. In total, 30 missenses, four nonsenses, three frameshifts, three splicings, and one inframe deletions of PALB2 were identified in this study. Among the deleterious mutations, PALB2 c.1744C>T, c.2748+1G>A, c.2749-1G>C, c.3114-1G>A were newly identified in sporadic breast cancer, and c.3271delC newly found in familial breast cancer. Based on in silico analysis, we found two potentially damaging missense variants with high frequency: c.1213C>G, c.3054G>C, and classified six new potentially damaging missense variants. CONCLUSIONS: Our data presented the germline mutation status of PALB2 in Chinese breast cancer patients, suggesting that loss-of-function germline mutations of PALB2 are important in both familial and sporadic breast cancer. Clinically, these data may be helpful in genetic counseling of breast cancer patients with PALB2 germline mutation.

Using gastric juice lncRNA-ABHD11-AS1 as a novel type of biomarker in the screening of gastric cancer.

Long noncoding RNAs (lncRNAs) play vital roles in tumorigenesis. However, the diagnostic values of most lncRNAs are largely unknown. To investigate whether gastric juice lncRNA-ABHD11-AS1 can be a potential biomarker in the screening of gastric cancer, 173 tissue samples and 130 gastric juice from benign lesion, gastric dysplasia, gastric premalignant lesions, and gastric cancer were collected. ABHD11-AS1 levels were detected by reverse transcription-polymerase chain reaction. Then, the relationships between ABHD11-AS1 levels and clinicopathological factors of patients with gastric cancer were investigated. The results showed that ABHD11-AS1 levels in gastric cancer tissues were significantly higher than those in other tissues. Its levels in gastric juice from gastric cancer patients were not only significantly higher than those from cases of normal mucosa or minimal gastritis, atrophic gastritis, and gastric ulcers but also associated with gender, tumor size, tumor stage, Lauren type, and blood carcinoembryonic antigen (CEA) levels. More importantly, when using gastric juice ABHD11-AS1 as a marker, the positive detection rate of early gastric cancer patients was reached to 71.4 %. Thanks to the special origin of gastric juice, these results indicate that gastric juice ABHD11-AS1 may be a potential biomarker in the screening of gastric cancer.

Meta-analyses of methylation markers for prostate cancer.

Prostate cancer (PCa) is the most frequently diagnosed non-cutaneous cancer that has become the sixth leading cause of mortality in both the developed and developing countries. Accumulating evidence showed a number of genes with aberrant DNA methylation in the pathogenesis of PCa. Here, we conducted a systematic meta-analysis to evaluate the contribution of aberrantly methylated genes to the risk of PCa. Relevant methylation studies were retrieved from PubMed and Wanfang literature databases. In the meta-analysis, Mantel-Haenszel odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated for each methylation event under appropriate models. A total of 594 publications were initially retrieved from PubMed and Wanfang literature database. After a three-step filtration, we harvested 39 case-control articles investigating the role of gene methylation in the prediction of PCa risk. Among the 31 genes involved, 24 genes were shown to be significantly hypermethylated in the PCa patients. Our meta-analyses identified strong associations of four aberrantly methylated genes (GSTP1, RASSF1, p16, and RARB) with PCa. Further research is needed to strengthen our findings in the future.

lncRNA-AC130710 targeting by miR-129-5p is upregulated in gastric cancer and associates with poor prognosis.

Long noncoding RNAs (lncRNAs) play an important role in cancer occurrence and development. However, there is largely unknown about lncRNAs significance in the diagnosis and treatment of gastric cancer. In our study, we focused on AC130710, one of lncRNAs. Gastric cancer tissues and adjacent tissues were gathered from 78 patients with gastric cancer. The AC130710 levels were detected by reverse transcription polymerase chain reaction (RT-PCR). Then, we further analyzed the association between AC130710 level and the clinicopathological factors of patients with gastric cancer. Finally, the molecular mechanism underling AC130710 highly expressed in gastric cancer cells was explored. The results showed that AC130710 in cancer tissues from patients with gastric cancer was significantly higher than those in adjacent noncancerous tissues (P < 0.05). Its expression level was significantly associated with tumor size (P = 0.013), tumor-node-metastasis (TNM) stages (P = 0.030), and distal metastasis (P = 0.018). AC130710 expression in MGC-803 was significantly higher than that in normal gastric mucosa cell line GES-1 (P < 0.001). Moreover, miR-129-5p may play an important role in the downregulation of AC130710 in gastric cancer cells. These results indicated that lncRNA-AC130710 may be a potential tumor marker for gastric cancer prognosis.

Fine-Grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection.

Inspired by the success of vision-language methods (VLMs) in zero-shot classification, recent works attempt to extend this line of work into object detection by leveraging the localization ability of pretrained VLMs and generating pseudolabels for unseen classes in a self-training manner. However, since the current VLMs are usually pretrained with aligning sentence embedding with global image embedding, the direct use of them lacks fine-grained alignment for object instances, which is the core of detection. In this article, we propose a simple but effective fine-grained visual-text prompt-driven self-training paradigm for open-vocabulary detection (VTP-OVD) that introduces a fine-grained visual-text prompt adapting stage to enhance the current self-training paradigm with a more powerful fine-grained alignment. During the adapting stage, we enable VLM to obtain fine-grained alignment using learnable text prompts to resolve an auxiliary dense pixelwise prediction task. Furthermore, we propose a visual prompt module to provide the prior task information (i.e., the categories need to be predicted) for the vision branch to better adapt the pretrained VLM to the downstream tasks. Experiments show that our method achieves the state-of-the-art performance for open-vocabulary object detection, e.g., 31.5% mAP on unseen classes of COCO.

A Survey on Vision Transformer.

Transformer, first applied to the field of natural language processing, is a type of deep neural network mainly based on the self-attention mechanism. Thanks to its strong representation capabilities, researchers are looking at ways to apply transformer to computer vision tasks. In a variety of visual benchmarks, transformer-based models perform similar to or better than other types of networks such as convolutional and recurrent neural networks. Given its high performance and less need for vision-specific inductive bias, transformer is receiving more and more attention from the computer vision community. In this paper, we review these vision transformer models by categorizing them in different tasks and analyzing their advantages and disadvantages. The main categories we explore include the backbone network, high/mid-level vision, low-level vision, and video processing. We also include efficient transformer methods for pushing transformer into real device-based applications. Furthermore, we also take a brief look at the self-attention mechanism in computer vision, as it is the base component in transformer. Toward the end of this paper, we discuss the challenges and provide several further research directions for vision transformers.

Postmastectomy radiotherapy in patients with T1-2N1 breast cancer: a single center experience and a meta-analysis.

PURPOSE: Postmastectomy radiotherapy (PMRT) in patients with T1-2N1 breast cancer is still controversial. This study was to evaluate the survival prognosis of T1-2N1 patients with or without PMRT. PATIENTS AND METHODS: From January 2006 to May 2017, 2606 female breast cancer patients underwent mastectomy in our medical center, among whom 402 patients of T1-2N1 stage with or without PMRT were finally analyzed. The median follow-up duration was 59.5 months. The primary endpoint was overall survival (OS). The secondary endpoint was disease-free survival (DFS). RESULTS: In the study of our center, no statistically significant difference was observed between the T1-2N1 PMRT and non-PMRT subgroups for the 5-year OS (94.4% vs 95.4%, p = 0.667) and DFS (90.1% vs. 91.1%, p = 0.798). By the date of the last follow-up, 8.96% (n = 36) of the patients experienced any recurrence. Univariate analysis revealed that PMRT was not a prognostic factor for either OS (p = 0.667) or DFS (p = 0.798) in T1-2N1 patients. We then did a meta-analysis on the current treatment patterns, in which 2606 PMRT and 4281 non-PMRT T1-2N1 breast cancer patients with mastectomy were included. The meta-analysis showed that PMRT didn't improve the OS of the patients (HR = 0.85, p = 0.11), but patients with PMRT had better DFS than those in the non-PMRT group (HR = 0.62, p < 0.001). CONCLUSION: PMRT did not affect the survival of T1-2N1 breast cancer patients who underwent mastectomy, suggesting that radiotherapy may be safely omitted for them.

Learning Versatile Convolution Filters for Efficient Visual Recognition.

This paper introduces versatile filters to construct efficient convolutional neural networks that are widely used in various visual recognition tasks. Considering the demands of efficient deep learning techniques running on cost-effective hardware, a number of methods have been developed to learn compact neural networks. Most of these works aim to slim down filters in different ways, e.g., investigating small, sparse or quantized filters. In contrast, we treat filters from an additive perspective. A series of secondary filters can be derived from a primary filter with the help of binary masks. These secondary filters all inherit in the primary filter without occupying more storage, but once been unfolded in computation they could significantly enhance the capability of the filter by integrating information extracted from different receptive fields. Besides spatial versatile filters, we additionally investigate versatile filters from the channel perspective. Binary masks can be further customized for different primary filters under orthogonal constraints. We conduct theoretical analysis on network complexity and an efficient convolution scheme is introduced. Experimental results on benchmark datasets and neural networks demonstrate that our versatile filters are able to achieve comparable accuracy as that of original filters, but require less memory and computation cost.

Nursing Skill Assessment of Hospital Nurses in Management of Critically Ill Patients.

Objective: To analyze the application of standardized nursing procedures in critically ill patients' nursing evaluation. Methods: 90 cases of critically ill patients aged from 18 to 65 who were treated in our hospital from April 2020 to April 2021 were selected and divided into the control group and observation group, respectively, with 45 cases according to the drawing method. The rescue time, blood pressure, heart rate before and after nursing, adverse mood, length of stay, incidence of adverse events, ICU transfer and death, and satisfaction of 2 groups were statistically analyzed and compared. Results: The rescue time of cardiopulmonary resuscitation, oxygen inhalation, venous opening, and endotracheal resuscitation in the observation group was 3.24 ± 1.01, which is lower than that in the control group, 6.65 ± 2.11, with statistical significance (P < 0.05). Similarly, the vital signs in the observation group were 2.45 ± 0.44, which is also significantly lower than that in the control group, 5.67 ± 1.56. After nursing, the blood pressure and heart rate in the observation group were lower than those in control group, with statistical significance (P < 0.05). The adverse mood of the observation group after nursing was lower than that of the control group, with statistical significance (P < 0.05). The length of stay, incidence of adverse events, intensive care unit (ICU) transfer, and death in the observation group were lower than those in the control group, with statistical significance (P < 0.05). The length of stay in the observation group was 8.87 ± 2.11, while 11.34 ± 2.45 in the observation group. The incidence of adverse events in the observation group was 1, while 8 in the observation group. The length of stay in the observation group was 8.87 ± 2.11, while 11.34 ± 2.45 in the observation group. The ICU transfer in the observation group were 2, while 9 in the observation group. There was no death in the observation group, however, 4 in the observation group. Nursing satisfaction in the observation group was higher than that in the control group, with statistical significance (P < 0.05). The number of patients that are very satisfied in the observation group was 28, while 20 in the control group. The number of patients that are satisfied in the observation group was the same as in the control group, both 15. However, the number of patients that are dissatisfied in the observation group was 2, while 10 in the control group. Conclusion: The application of the standardized nursing process in the nursing of critically ill patients can not only effectively reduce the self-rating anxiety scale (SAS) and sarcoidosis diagnostic score (SDS) of patients but also reduce the incidence of complications and improve the nursing satisfaction of patients.

Impact of Nischarin on EMT regulators in breast cancer cell lines.

Nischarin is an integrin-binding protein, which is well known as a novel tumor suppressor. In breast cancer, Nischarin serves a critical role in breast cancer cell migration and invasion. However, the molecular mechanism underlying the role of Nischarin remains unclear. Recent findings have demonstrated that epithelial-mesenchymal transition (EMT) increases the capacity of cell migration and invasion. As a member of the integrin family, it was hypothesized that Nischarin may regulate cellular processes via various signaling pathways associated with the EMT process. The present study detected the mRNA levels of EMT regulators via reverse transcription-quantitative PCR and related protein levels via western blotting in breast cancer cells, following NISCH-overexpression and -knockdown. The results demonstrated that Nischarin inhibits cell proliferation, migration and invasion in breast cancer cells. Furthermore, when the NISCH gene was overexpressed, the relative mRNA level of E-cadherin was increased, while the relative mRNA levels of several transcription factors, such as Snail, ZEB1, N-cadherin, Slug, Twist1 and vimentin, decreased. When NISCH was silenced, these results were reversed. The present results demonstrated that Nischarin suppresses cell migration and invasion via inhibiting the EMT process.

Epithelial-mesenchymal transition status of circulating tumor cells in breast cancer and its clinical relevance.

Objective: Circulating tumor cells (CTCs) play a critical role in cancer metastasis, but their prevalence and significance remain unclear. This study attempted to track the epithelial-mesenchymal transition (EMT) status of CTCs in breast cancer patients and investigate their clinical relevance. Methods: In this study, the established negFACS-IF:E/M platform was applied to isolate rare CTCs and characterize their EMT status in breast cancer. A total of 89 breast cancer patients were recruited, including stage 0-III (n = 60) and late stage (n = 29) cases. Results: Using the negFACS-IF:E/M platform, it was found that in human epidermal growth factor receptor 2 (HER2)+ patients, mesenchymal CTCs usually exhibited a high percentage of HER2+ cells. Stage IV breast cancer patients had considerably more CTCs than stage 0-III patients. Among stage 0-III breast cancers, the HER2 subtype included a significantly higher percentage of mesenchymal and biphenotypic (epithelial and mesenchymal) CTCs than the luminal A or B subtypes. Among stage IV patients, CTCs were predominantly epithelial in cases with local recurrence and were more mesenchymal in cases with distant metastasis. By applying a support vector machine (SVM) algorithm, the EMT status of CTCs could distinguish between breast cancer cases with metastasis/local recurrence and those without recurrence. Conclusions: The negFACS-IF:E/M platform provides a flexible and generally acceptable method for the highly sensitive and specific detection of CTCs and their EMT traits in breast cancer. This study demonstrated that the EMT status of CTCs had high clinical relevance in breast cancer, especially in predicting the distant metastasis or local recurrence of breast cancer.

2D shape matching by contour flexibility.

In computer vision, shape matching is a challenging problem, especially when articulation and deformation of parts occur. These variations may be insignificant in terms of human recognition, but often cause a matching algorithm to give results that are inconsistent with our perception. In this paper, we propose a novel shape descriptor of planar contours, called contour flexibility, which represents the deformable potential at each point along a contour. With this descriptor, The local and global features can be obtained from the contour. We then present a shape matching scheme based on the features obtained. Experiments with comparisons to recently published algorithms show that our algorithm performs best.

γδ T Cells: Crosstalk Between Microbiota, Chronic Inflammation, and Colorectal Cancer.

Increasing evidence suggests that intestinal microbiota dysbiosis and chronic inflammation contribute to colorectal cancer (CRC) development. γδ T cells represent a major innate immune cell population in the intestinal epithelium that is involved in the maintenance of gut homeostasis, inflammation regulation, and carcinogenesis. The important contributions of γδ T cells are (i) to perform a protective role in the context of barrier damage and pathogenic microorganism translocation; (ii) to exert either pro- or anti-inflammatory effects at different inflammatory stages; and (iii) to boost the crosstalk between immune cells and tumor microenvironment, inducing a cascade of suppressive immune responses. Understanding the crucial role of γδ T cells would enable us to manipulate these cells during the CRC sequence and improve the efficacy of tumor therapy.

Distinct prognosis of mRNA expression of the five RecQ DNA-helicase family members - RECQL, BLM, WRN, RECQL4, and RECQL5 - in patients with breast cancer.

BACKGROUND: Five RecQ helicase family members have a role in maintaining genome stability. However, their prognostic roles in breast cancer remain unknown. We aimed to investigate the prognostic values of the RecQ family and clinical outcomes in breast cancer. METHODS: We used the Kaplan-Meier Plotter database (http://kmplot.com/analysis) to analyze prognostic values of RecQ-family mRNA expression in all breast cancers and in different intrinsic subtypes and clinicopathological characteristics. Protein-expression levels of WRN and RECQL4 were confirmed by immunohistochemistry (IHC) in breast cancer tissues. RESULTS: Increased expression of RECQL mRNA was significantly associated with reduced relapse-free survival (RFS) and postprogression survival (PPS) in all breast cancers, and improved overall survival (OS) in patients with basal-like breast cancer and in mutant-p53-type breast cancer patients. Increased expression of BLM mRNA was correlated with reduced distant metastasis-free survival (DMFS) in all patients. Increased expression of WRN mRNA was associated with improved OS and RFS in breast cancer patients. Increased expression of RECQL4 mRNA was associated with reduced OS, DMFS, and RFS in all breast cancers, and with reduced OS in patients with luminal A, HER2-positive, ER-positive, and PR-positive breast cancer. Increased expression of RECQL5 mRNA was associated with improved RFS in all patients, and with improved OS in patients with lymph-node-negative breast cancer, but with reduced OS in patients with HER2-positive breast cancer. IHC staining confirmed that high expression of WRN was correlated with increased OS and high expression of RECQL4 associated with reduced OS at protein levels. CONCLUSION: mRNA-expression levels of RecQ members were significantly correlated with prognosis in breast cancer patients. These preliminary findings require further study to determine whether RecQ-targeting reagents might be developed for clinical application in breast cancer.

Regulatory mechanisms of long noncoding RNAs on gene expression in cancers.

Long non-coding RNAs (lncRNAs) are a heterogeneous class of RNAs that are non-protein coding transcripts longer than 200 nucleotides. In this review, we introduce the mechanisms by which lncRNAs regulate gene expression in four parts, epigenetic regulation (genetic imprinting and chromatin remodeling), transcriptional regulation (molecular decoy), post-transcriptional regulation (splicing and mRNA decay), and translational regulation. H19, Xist, and others are involved in genomic imprinting. HOTAIR and ANRIL function in chromatin remodeling. GAS5 is degraded through an RNA decay pathway. NEAT1 and MALAT1 function not only in the regulation of transcription but also in splicing.

Relationships between acrylamide and glycidamide hemoglobin adduct levels and allergy-related outcomes in general US population, NHANES 2005-2006.

BACKGROUND: Acrylamide-induced immunotoxicity and allergic dermatitis have been reported in animal experiments and clinical reports, respectively. However, epidemiological evidence from the general population is limited. OBJECTIVES: The purpose of the present study was to estimate the associations between acrylamide exposure and allergy-related outcomes in the general US population. METHODS: A total of 6982 subjects were selected from the National Health and Nutrition Examination Survey 2005-2006 (NHANES). Internal exposure was measured by the hemoglobin adducts of acrylamide (HbAA) and its metabolite glycidamide (HbGA). Allergy-related outcomes including asthma, hay fever, allergy, itchy rash, sneeze, wheeze and eczema were obtained by self-administered questionnaires. Allergic sensitization was assessed by the total immunoglobulin E (IgE) levels. The associations of HbAA and HbGA quartiles with allergy-related outcomes were calculated using logistic regression models with multivariable adjustments. Analyses were additionally stratified according to age, gender and serum cotinine levels. RESULTS: When setting quartile 1 of HbAA as reference, the odds ratios (ORs) [95% confidence intervals (CIs)] of quartile 2 to 4 for eczema were 1.18 (0.79-1.76), 1.14 (0.73-1.78) and 1.58 (1.14-2.18), respectively (ptrend = 0.002). Individuals at the highest quartile of HbGA had significantly elevated likelihoods of itchy rash (OR = 1.37, 95% CI = 1.02-1.83, ptrend = 0.032) and eczema (OR = 1.45, 95% CI = 1.06-1.97, ptrend = 0.044). The stratification analyses indicated various results in different subgroups. CONCLUSIONS: This study indicated significant associations between HbAA and HbGA levels and the likelihoods of allergy-related outcomes in the general US population, depending on age, gender and smoke exposure status. These findings suggested potential public health concerns for the widespread exposure to acrylamide.