Genotypic and phenotypic characterization of glucose-6-phosphate dehydrogenase (G6PD) deficiency in Guangzhou, China.

BACKGROUND: G6PD deficiency is a common inherited disorder worldwide and has a higher incidence rate in southern China. Many variants of G6PD result from point mutations in the G6PD gene, leading to decreased enzyme activity. This study aimed to analyse the genotypic and phenotypic characteristics of G6PD deficiency in Guangzhou, China. METHODS: In this study, a total of 20,208 unrelated participants were screened from 2020 to 2022. G6PD deficiency was further analysed by quantitative enzymatic assay and G6PD mutation analysis. The unidentified genotype of the participants was further ascertained by direct DNA sequencing. RESULTS: A total of 12 G6PD mutations were identified. Canton (c.1376G>T) and Kaiping (c.1388G>A) were the most common variants, and different mutations led to varying levels of G6PD enzyme activity. Comparing the enzyme activities of the 6 missense mutations between the sexes, we found significant differences (P < 0.05) in the enzyme activities of both male hemizygotes and female heterozygotes. Two previously unreported mutations (c.1438A>T and c.946G>A) were identified. CONCLUSIONS: This study provided detailed genotypes of G6PD deficiency in Guangzhou, which could be valuable for diagnosing and researching G6PD deficiency in this area.

A systematic analysis of molecular mechanisms in non-metastatic renal cancer delineates affected regulatory pathways and genes in tumor growth.

In the recent century, Kidney cancer has emerged as one of the critical renal diseases. Therefore, we analyzed gene expression profiles of non-metastatic kidney cancer to find mechanisms associated with the early-stage pathogenesis of the disease. We concentrated on the most dysregulated genes in expression to discover possible unknown proliferative molecular mechanisms and oncogenic pathways promoting kidney renal cancer growth. Survival analysis, expression profiling, and gene set over-representation analysis were conducted on the most upregulated and most down-regulated genes alongside the hub genes. Our results demonstrated that pathways engaged in the metabolism of amino acids and carbohydrates and those involved in peroxisome organization were shown to be important in developing benign tumors. Furthermore, upregulation of genes such as CXCL9 and 10 genes and CXCR4 in chemokine response pathways would bolster differentiation and engagement of immune cells in the tumor microenvironment. C3, one of the essential members of the complement system, with a high degree and betweenness centrality in the PPI network, upregulated significantly not only in our analysis but also in the validation expression profiling results and survival analysis. We also identified genes such as TYROBP, ITGB2, and EGFR to be engaged in both immunological pathways and superoxide pathways. Furthermore, we found that downregulation of Aldolase B engaged in Glycolysis and Gluconeogenesis pathways would help develop benign tumors. Finally, many top hub genes, including TYMS, PTPRC, AURKA, FN1, UBE2C, and CD53 were proposed to be engaged in the progression of non-metastatic renal tumors. This holistic interrogation calls attention to investigate further and experimentally validate the proposed molecular mechanisms.

Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types.

N6-Methyladenosine (m6A) is an RNA modification that interacts with numerous coding and non-coding RNAs and plays important roles in the development of cancers. Nonetheless, the clinical impacts of m6A interactive genes on these cancers largely remain unclear since most studies focus only on a single cancer type. We comprehensively evaluated m6A modification patterns, including 23 m6A regulators and 83 interactive coding and non-coding RNAs among 9,804 pan-cancer samples. We used clustering analysis to identify m6A subtypes and constructed the m6A signature based on an unsupervised approach. We used the signatures to identify potential m6A modification targets across the genome. The prognostic value of one target was further validated in 3,444 samples from six external datasets. We developed three distinct m6A modification subtypes with different tumor microenvironment cell infiltration degrees: immunological, intermediate, and tumor proliferative. They were significantly associated with overall survival in 24 of 27 cancer types. Our constructed individual-level m6A signature was associated with survival, tumor mutation burden, and classical pathways. With the signature, we identified 114 novel genes as potential m6A targets. The gene shared most commonly between cancer types, BCL9L, is an oncogene and interacts with m6A patterns in the Wnt signaling pathway. In conclusion, m6A regulators and their interactive genes impact the outcome of various cancers. Evaluating the m6A subtype and the signature of individual tumors may inform the design of adjuvant treatments.

The lab-confirmed interval of COVID-19 clusters and its application in the strength evaluation of prevention and control measures.

BACKGROUND: The lab-confirmed interval is the date from lab confirmation in a core case (infector) to lab confirmation in a second case (infectee); however, its distribution and application are seldom reported. This study aimed to investigate the lab-confirmed interval and its application in the preliminary evaluation of the strength of disease prevention and control measures. METHODS: Taking European countries and Chinese provinces outside Hubei as examples, we identified 63 infector-infectee pairs from European countries from Wikipedia, and 103 infector-infectee pairs from official public sources in Chinese provinces outside Hubei. The lab-confirmed intervals were obtained through analysis of the collected data and adopting the bootstrap method. RESULTS: The mean lab-confirmed interval was 2.6 (95% CI: 2.1-3.1) days for Europe and 2.6 (95% CI: 1.9-3.3) days for China outside Hubei, which were shorter than the reported serial intervals. For index patients aged ≥60 years old, the lab-confirmed interval in Europe was slightly longer (mean: 2.9; 95% CI: 2.0-3.6) and obviously longer in China outside Hubei (mean: 3.8; 95% CI: 1.9-5.5) than that for patients aged < 60 years. CONCLUSION: Investigation of the lab-confirmed interval can provide additional information on the characteristics of emergent outbreaks and can be a feasible indication to evaluate the strength of prevention and control measures. When the lab-confirmed interval was shorter than the serial interval, it could objectively reflect improvements in laboratory capacity and the surveillance of close contacts.

Long non-coding RNA H19 acts as a microRNA-194 sponge to inhibit the apoptosis and promote the proliferation of hypertrophic scar fibroblasts.

The effects of long non-coding RNAs (lncRNAs) on the proliferation of hypertrophic scars have been described, however, the underlying mechanisms are not well characterized. The present study aimed to investigate the mechanisms of lncRNA H19 in hypertrophic scars. The effects of the lncRNA H19 on the proliferation and apoptosis of hypertrophic scar fibroblasts (HSFs) were analyzed using 5'-ethynyl-2'-deoxyuridine staining, flow cytometry, and 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2H-tetrazolium bromide (MTT). The results revealed H19 promoted the proliferation and inhibited the apoptosis in HSF. In addition, the binding associations between H19 and microRNA-194 (miR-194), and miR-194 and insulin-like growth factor I receptor (IGF1R) were identified using bioinformatics screening and verified using dual-luciferase assays. Furthermore, the effects of the IGF1R knockdown on H19-induced HSF phenotypes and regulation over the p38 MAPK pathway were determined. Mechanistically, miR-194 was identified as the downstream effector of the H19-mediated phenotypes of HSFs through its ability to directly target IGF1R, thus modulating the p38 MAPK signaling pathway. In conclusion, the findings suggested that H19 may inhibit the apoptosis and promote the proliferation of HSFs through the miR-194/IGF1R/p38 MAPK signaling axis, thereby contributing to the progression of hypertrophic scars. These findings may provide novel targets for the treatment of hypertrophic scars.

Studies on antimicrobial peptide-loaded nanomaterial for root caries restorations to inhibit periodontitis related pathogens in periodontitis care.

AIMS: To prepare a novel antimicrobial peptide Nal-P-113 loaded poly (ethylene glycol) combined chitosan nanoparticles (Nal-P-113-PEG-CSNPs) for root caries restorations to control the periodontitis related pathogens in periodontitis care. METHODS: Nanoparticles were prepared by simple polymerisation method and characterised using effective analytical methods (TEM, UV, etc.). The antimicrobial activity and biofilm formation of Nal-P-113-PEG-CSNPs was tested against periodontal bacterial pathogens by different in vitro methods. RESULTS: The size of Nal-P-113 loaded PEG-Chitosn nanoparticles was 216.2 ± 1.6 nm. The drug encapsulation efficiency (%EE (w/w) of Nal-P-113-PEG-CSNPs was found to be 89.33 ± 1.67% (w/w). The antimicrobial examination showed that prepared NPs have effectively inhibited the growth of Fusobacterium nucleatum, Streptococcus gordonii, and Porphyromonas gingivalis with the MIC of 23 µg/mL, 6 µg/mL and 31 µg/mL, respectively. CONCLUSIONS: The prepared antimicrobial peptide-loaded PEG-CSNPs provide excellent in vitro efficiency but, further studies are necessary to confirm its therapeutic efficacy on periodontitis care.

Activation of CB2R with AM1241 ameliorates neurodegeneration via the Xist/miR-133b-3p/Pitx3 axis.

Activation of cannabinoid receptor type II (CB2R) by AM1241 has been demonstrated to protect dopaminergic neurons in Parkinson's disease (PD) animals. However, the specific mechanisms of the action of the CB2R agonist AM1241 for PD treatment have not been characterized. Wild-type (WT), CB1R knockout (CB1-KO), and CB2R knockout (CB2-KO) mice were exposed to 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) for 1 week to obtain a PD mouse model. The therapeutic effects of AM1241 were evaluated in each group. Behavioral tests, analysis of neurotransmitters, and immunofluorescence results demonstrated that AM1241 ameliorated PD in WT animals and CB1-KO animals. However, AM1241 did not ameliorate PD symptoms in CB2-KO mice. RNA-seq analysis identified the lncRNA Xist as an important regulator of the protective actions of AM1241. Specifically, AM1241 allowed WT and CB1-KO animals treated with MPTP to maintain normal expression of Xist, which affected the expression of miR-133b-3p and Pitx3. In vitro, overexpression of Xist or AM1241 protected neuronal cells from death induced by 6-hydroxydopamine and increased Pitx3 expression. The CB2 receptor agonist AM1241 alleviated PD via regulation of the Xist/miR-133b-3p/Pitx3 axis, and revealed a new approach for PD treatment.

TOBMI: trans-omics block missing data imputation using a k-nearest neighbor weighted approach.

MOTIVATION: Stitching together trans-omics data is a powerful approach to assess the complex mechanisms of cancer occurrence, progression and treatment. However, the integration process suffers from the 'block missing' phenomena when part of individuals lacks some omics data. RESULTS: We proposed a k-nearest neighbor (kNN) weighted imputation method for trans-omics block missing data (TOBMIkNN) to handle gene-absence individuals in RNA-seq datasets using external information obtained from DNA methylation probe datasets. Referencing to multi-hot deck, mean imputation and missing cases deletion, we assess the relative error, absolute error, inter-omics correlation structure change and variable selection.The proposed method, TOBMIkNN reliably imputed RNA-seq data by borrowing information from DNA methylation data, and showed superiority over the other three methods in imputation error and stability of correlation structure. Our study indicates that TOBMIkNN can be used as an advisable method for trans-omics block missing data imputation. AVAILABILITY AND IMPLEMENTATION: TOBMIkNN is freely available at https://github.com/XuesiDong/TOBMI. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

LncRNA-MALAT1 is a promising biomarker for prognostic evaluation of tongue squamous cell carcinoma.

PURPOSE: MALAT1 is recognized as an oncogenic lncRNA in various malignancies. Here, the authors aim to explore the association of MALAT1 expression and prognostic implication in tongue squamous cell carcinoma (SCC). METHODS: The tongue tissues of 128 tongue SCC cases satisfying strict follow-up criteria and 28 normal cases were subjected to qRT-PCR assay for monitoring MALAT1 expression. Chi-square test was applied to explore the correlation between MALAT1 expression and clinicopathological features of tongue SCC. Kaplan-Meier analysis was used to calculate survival rates. Cox proportional hazard analysis was adopted to analyze the relationship between prognostic factors and patient survival. RESULTS: The expression of MALAT1 was upregulated in tongue SCC, compared to normal tongue tissues. The expression level of MALAT1 was correlated to differentiation and stage of tongue SCC, and high MALAT1 expression was associated with low disease-free survival and overall survival rates. Moreover, advanced tongue SCC patients with high MALAT1 level had lower disease-free survival and decreased overall survival rate than patients with low MALAT1 level. These results revealed that MALAT1 overexpression can be considered as a significant prognostic factor to independently predict the disease-free survival and overall survival rate of tongue SCC. CONCLUSIONS: The expression level of MALAT1 is closely related with progression of tongue SCC. Furthermore, MALAT1 can serve as an independent biomarker for prognostic evaluation of tongue SCC.

shinyBN: an online application for interactive Bayesian network inference and visualization.

BACKGROUND: High-throughput technologies have brought tremendous changes to biological domains, and the resulting high-dimensional data has also posed enormous challenges to computational science. A Bayesian network is a probabilistic graphical model represented by a directed acyclic graph, which provides concise semantics to describe the relationship between entities and has an independence assumption that is suitable for sparse omics data. Bayesian networks have been broadly used in biomedical research fields, including disease risk assessment and prognostic prediction. However, the inference and visualization of Bayesian networks are unfriendly to the users lacking programming skills. RESULTS: We developed an R/Shiny application, shinyBN, which is an online graphical user interface to facilitate the inference and visualization of Bayesian networks. shinyBN supports multiple types of input and provides flexible settings for network rendering and inference. For output, users can download network plots, prediction results and external validation results in publication-ready high-resolution figures. CONCLUSION: Our user-friendly application (shinyBN) provides users with an easy method for Bayesian network modeling, inference and visualization via mouse clicks. shinyBN can be used in the R environment or online and is compatible with three major operating systems, including Windows, Linux and Mac OS. shinyBN is deployed at https://jiajin.shinyapps.io/shinyBN/. Source codes and the manual are freely available at https://github.com/JiajinChen/shinyBN.

Single nucleotide polymorphisms in a regulatory site of VRN-A1 first intron are associated with differences in vernalization requirement in winter wheat.

Winter wheats require a long exposure to cold temperatures (vernalization) to accelerate flowering. However, varieties differ in the length of the period of cold required to saturate the vernalization response. Here we show that single nucleotide polymorphisms (SNP) at the binding site of the GRP2 protein in the VRN-A1 first intron (henceforth, RIP3) are associated with significant differences in heading time after a partial vernalization treatment. The ancestral winter VRN-A1 allele in 'Triple Dirk C' has one SNP in the RIP3 region (1_SNP) relative to the canonical RIP3 sequence, whereas the derived 'Jagger' allele has three SNPs (3_SNPs). Both varieties have a single VRN-A1 copy encoding identical proteins. In an F2 population generated from a cross between these two varieties, plants with the 3_SNPs haplotype headed significantly earlier (P < 0.001) than those with the 1_SNP haplotype, both in the absence of vernalization (17 days difference) and after 3-weeks of vernalization (11 days difference). Plants with the 3_SNPs haplotype showed higher VRN-A1 transcript levels than those with the 1_SNP haplotype. The 3_SNPs haplotype was also associated with early heading in a panel of 127 winter wheat varieties grown in three separate controlled-environment experiments under partial vernalization (36 to 54 days, P < 0.001) and one experiment under field conditions (21 d, P < 0.0001). The RIP3 polymorphisms can be used by wheat breeders to develop winter wheat varieties adapted to regions with different duration or intensity of the cold season.

NQO1 overexpression is associated with poor prognosis in squamous cell carcinoma of the uterine cervix.

BACKGROUND: NQO1 (NAD(P)H: quinone oxidoreductase-1), located on chromosome 16q22, functions primarily to protect normal cells from oxidant stress and electrophilic attack. Recent studies have revealed that NQO1 is expressed at a high level in most human solid tumors including those of the colon, breast, pancreas, ovaries and thyroid, and it has also been detected following the induction of cell cycle progression and proliferation of melanoma cells. In this study, we aimed to investigate the clinicopathological significance of upregulated NQO1 protein expression in squamous cell carcinomas (SCCs) of the uterine cervix. METHODS: The localization of the NQO1 protein was determined in the SiHa cervical squamous cancer cell line using immunofluorescence (IF) staining, and immunohistochemical (IHC) staining performed on paraffin-embedded cervical SCC specimens from 177 patients. For comparison, 94 cervical intraepithelial neoplasia (CIN) and 25 normal cervical epithelia samples were also included. QRT-PCR was performed on RNA from fresh tissues to detect NQO1 mRNA expression levels, and HPV infection status was genotyped using oligonucleotide microarray. Disease-free survival (DFS) and 5-year overall survival (OS) rates for all cervical SCC patients were calculated using the Kaplan-Meier method, and univariate and multivariate analysis was performed using the Cox proportional hazards regression model. RESULTS: The NQO1 protein showed a mainly cytoplasmic staining pattern in cervical cancer cells, and only three cases of cervical SCC showed a nuclear staining pattern. The strongly positive rate of NQO1 protein expression was significantly higher in cervical SCCs and CINs than in normal cervical epithelia. High-level NQO1 expression was closely associated with poor differentiation, late-stage, lymph node metastasis and high-risk for HPV infection. Additionally, high-level NQO1 expression was associated with lower DFS and 5-year OS rates, particularly for patients with early-stage cervical SCCs. Furthermore, Cox analysis revealed that NQO1 expression emerged as a significant independent hazard factor for DFS rate in patients with cervical SCC. CONCLUSIONS: NQO1 overexpression might be an independent biomarker for prognostic evaluation of cervical SCCs.

Sineoculis homeobox homolog 1 protein overexpression as an independent biomarker for pancreatic ductal adenocarcinoma.

Sineoculis homeobox homolog 1 (SIX1) is a member of the SIX gene family. It is highly expressed in cancers derived from tissues that play a fundamental role during embryogenesis. Recent studies suggest that inappropriate expression of SIX1 can both initiate tumorigenesis and promote metastasis. To investigate the clinicopathological significance of SIX1 expression in pancreatic ductal adenocarcinoma (PDAC), and to further identify its role as a potential biomarker and therapeutic target in PDAC, 103 PDAC tissue samples and 45 normal pancreatic tissue samples were immunohistochemically stained for SIX1 protein. The localization of SIX1 protein was detected in Panc-1 cancer cells using immunofluorescence staining. Correlations between SIX1 overexpression and the clinicopathological features of pancreatic cancer were evaluated using Chi-square (χ(2)) tests, differences in survival curves were analyzed using log-rank tests, and multivariate survival analysis was performed using the Cox proportional hazard regression model. In results, SIX1 protein showed mainly cytoplasmic/perinuclear staining pattern in PDAC with immunohistochemistry. The strongly positive rate of SIX1 protein was 60.2% (62/103) in PDAC, which was significantly higher than normal pancreatic tissue (6.7%, 3/45). SIX1 overexpression was positively correlated with tumor size, TNM stage, lymph node metastasis, and grade of PDAC (P < 0.001). SIX1 high expression levels influenced overall survival rates in G1, G2, stage I-II and stage III-IV groups of PDAC; and high expression levels had significantly lower overall survival rates than SIX1 low expression levels. In conclusion, SIX1 emerged as a significant independent prognostic factor in PDAC. SIX1 overexpression appears to be associated with PDAC, and may be a potential biomarker for early diagnosis and prognostic evaluation of PDAC.

Significance of NQO1 overexpression for prognostic evaluation of gastric adenocarcinoma.

NQO1 (NAD(P)H: quinone oxidoreductase, also known as DT-diaphorase) plays a prominent role in maintaining cellular homeostasis. NQO1 is abnormally elevated in many solid cancer types, including those of the adrenal gland, breast, colon, lung, ovary, and thyroid. However, little is known about the status of NQO1 in gastric adenocarcinoma (GAC). To investigate the clinicopathological significance of NQO1 expression in GAC, and thus evaluate its role as a potential prognostic marker, 203 cases of primary GAC, 31 of gastric dysplasia, and 53 of adjacent non-tumor tissues were selected for immunohistochemical staining of NQO1 protein. Correlations between NQO1 overexpression and clinicopathological characteristics were evaluated by χ(2) test and Fisher's exact test, while survival rates were calculated by Kaplan-Meier method. The relationship between prognostic factors and patient survival was analyzed by Cox proportional hazards model. Through these analyses it was found that the strongly positive rate of NQO1 protein in GAC was significantly higher than that in gastric dysplasia and adjacent non-tumor tissues. Analysis by qRT-PCR also confirmed that NQO1 mRNA levels were increased in GAC compared with those detected in either adjacent non-tumor tissues or normal gastric mucosa. Additionally, the NQO1 expression rate was positively correlated with tumor size, serosal invasion, tumor stage, and both disease-free survival and 5-year survival rates. Further analysis showed that although NQO1 was not an independent predictor of GAC, elevated expression of NQO1 could predict lower disease-free survival and 5-year survival times in late-stage patients. In conclusion, NQO1 plays an important role in the progression of GAC, and might be a potential, but not an independent, poor prognostic biomarker and therapeutic target of GAC.

[Prognostic significance of NADPH quinine oxidoreductase 1 overexpression in head and neck squamous cell carcinoma].

OBJECTIVE: To investigate the significance of NADPH quinine oxidoreductase 1 (NQO1) protein overexpression on prognostic evaluation of head and neck squamous cell carcinoma (HNSCC). METHODS: NQO1 protein was detected in 162 of HNSCC, 45 cases of adjacent nontumor tissues and 26 samples of normal head and neck epithelia using EnVision immunohistochemical. Correlation between NQO1 overexpression and patients prognosis was also analyzed. RESULTS: The positive rate and strongly positive rate of NQO1 protein were 84.0% (136/162) and 69.8% (113/162) in HNSCC, respectively, and both of which were significantly higher than either those in adjacent nontumor tissues and normal head and neck epithelia (both P < 0.01). NQO1 expression was significantly correlated with the clinical stage, pT and chemoradiotherapy of HNSCC (P < 0.01). Kaplan-Meier survival analysis showed that overall survival and disease-free survival rates were significantly higher in HNSCC patients with high level NQO1 expression than that those with low level of NQO1 expression (Log-rank = 6.625 , P = 0.010;Log-rank = 6.234 , P = 0.013). Additional analysis by Cox proportional hazard regression model showed that high level of NQO1 expression was an independent hazard predictor for overall survival of patients with HNSCC (Wald = 6.626, P = 0.008). CONCLUSIONS: NQO1 expression level is closely correlated with the progression and prognosis of patients with HNSCC. High level of NQO1 expression may be used as an important indicator for patients with poor prognostic HNSCC.

GATA6 inhibits the biological function of non-small cell lung cancer by modulating glucose metabolism.

PURPOSE: This study aims to explore the role of GATA6 in lung cancer, with a focus on its impact on metabolic processes. METHODS: We assessed GATA6 expression in lung cancer tissues and its association with patient prognosis. In vitro cell function experiments were conducted to investigate the effects of altered GATA6 levels on lung cancer cell proliferation and migration. Mechanistic insights were gained by examining GATA6's influence on glucose metabolism-related genes, particularly its effect on c-Myc mRNA expression. RESULTS: Our study revealed significant down-regulation of GATA6 in lung cancer tissues, and this down-regulation was strongly correlated with unfavorable patient prognosis. Elevating GATA6 levels effectively inhibited the proliferation and migration of lung cancer cells in our cell function experiments. Mechanistically, we found that GATA6 suppressed the expression of c-Myc mRNA, impacting genes related to glucose metabolism. As a result, glucose uptake and metabolism in lung cancer cells were disrupted, ultimately impeding their malignant behaviors. CONCLUSION: Our study provides crucial insights into the metabolic regulation of GATA6 in lung cancer cells. These findings have the potential to offer a solid theoretical foundation for the development of novel clinical treatments for lung cancer.

Exploring Appropriate Reference Intervals and Clinical Decision Limits for Glucose-6-Phosphate Dehydrogenase Activity in Individuals From Guangzhou, China.

Background: Quantitative detection of glucose-6-phosphate dehydrogenase (G6PD) is commonly done to screen for G6PD deficiency. However, current reference intervals (RIs) of G6PD are unsuitable for evaluating G6PD-activity levels with local populations or associating G6PD variants with hemolysis risk to aid clinical decision-making. We explored appropriate RIs and clinical decision limits (CDLs) for G6PD activity in individuals from Guangzhou, China. Methods: We enrolled 5,852 unrelated individuals between 2020 and 2022 and screened their samples in quantitative assays for G6PD activity. We conducted further investigations, including G6PD genotyping, thalassemia genotyping, follow-up analysis, and statistical analysis, for different groups. Results: In Guangzhou, the RIs for the G6PD activities were 11.20-20.04 U/g Hb in male and 12.29-23.16 U/g Hb in female. The adjusted male median and normal male median (NMM) values were 15.47 U/g Hb and 15.51 U/g Hb, respectively. A threshold of 45% of the NMM could be used as a CDL to estimate the probability of G6PD variants. Our results revealed high hemolysis-risk CDLs (male: <10% of the NMM, female: <30% of the NMM), medium hemolysis-risk CDLs (male: 10%-45% of the NMM, female: 30%-79% of the NMM), and low hemolysis-risk CDLs (male: ≥ 45% of the NMM, female: ≥ 79% of the NMM). Conclusions: Collectively, our findings contribute to a more accurate evaluation of G6PD-activity levels within the local population and provide valuable insights for clinical decision-making. Specifically, identifying threshold values for G6PD variants and hemolysis risk enables improved prediction and management of G6PD deficiency, ultimately enhancing patient care and treatment outcomes.

DEK over expression as an independent biomarker for poor prognosis in colorectal cancer.

BACKGROUND: The DEK protein is related to chromatin reconstruction and gene transcription, and plays an important role in cell apoptosis. High expression levels of the human DEK gene have been correlated with numerous human malignancies. This study explores the roles of DEK in tumor progression and as a prognostic determinant of colorectal cancer. METHODS: Colorectal cancer specimens from 109 patients with strict follow-up, and colorectal adenomas from 52 patients were selected for analysis of DEK protein by immunohistochemistry. The correlations between DEK over expression and the clinicopathological features of colorectal cancers were evaluated by Chi-square test and Fisher's exact tests. The survival rates were calculated by the Kaplan-Meier method, and the relationship between prognostic factors and patient survival was also analyzed by the Cox proportional hazard models. RESULTS: DEK protein showed a nuclear immunohistochemical staining pattern in colorectal cancers. The strongly positive rate of DEK protein was 48.62% (53/109) in colorectal cancers, which was significantly higher than that in either adjacent normal colon mucosa (9.17%, 10/109) or colorectal adenomas (13.46%, 7/52). DEK over expression in colorectal cancers was positively correlated with tumor size, grade, lymph node metastasis, serosal invasion, late stage, and disease-free survival- and 5-year survival rates. Further analysis showed that patients with late stage colorectal cancer and high DEK expression had worse survival rates than those with low DEK expression. Moreover, multivariate analysis showed high DEK expression, serosal invasion, and late stage are significant independent risk factors for mortality in colorectal cancer. CONCLUSIONS: DEK plays an important role in the progression of colorectal cancers and it is an independent poor prognostic factor of colorectal cancers.

The correlation between insulin-like growth factor II mRNA binding protein 3 expression in hepatocellular carcinoma and prognosis.

BACKGROUND/AIMS: The study aims to explore the expression of IMP3 in HCC and the correlation between its expression and prognosis. METHODOLOGY: We collected several clinical and pathological files including 92 cases of HCC and 58 cases of adjacent liver tissues. Expression of IMP3 in these tissues was detected by immunohistochemistry, while compared with clinicopathological characteristics and expression of Ki-67. A χ2 test was used to analyze the relationship between expression of IMP3 and clinicοpathologic factors. The Kaplan-Meier survival curve was used to calculate survival rate. A Cox analysis was used to evaluate the relationship between index and patients' lifetime. RESULTS: The positive rate of IMP3 in HCC tissues was significantly higher than that in adjacent tissues. The expression of IMP3 was related to the histological differentiation of HCC, metastasis, the stage of ACJJ, the expression of Ki-67 and survival. The ACJJ stage, metastases and the expression of IMP3 were independent factors for the HCC patients' survival. CONCLUSIONS: IMP3, which is associated with tumor formation, invasion, tumor cell proliferation and so on, may become the target for inhabiting cell proliferation and the biomarker for predicting prognosis.

The role of DEK protein in hepatocellular carcinoma for progression and prognosis.

OBJECTIVE: The study aim was to explore the role of DEK in tumor progression and prognostic of hepatocellular carcinoma (HCC). METHODOLOGY: DEK protein in 178 samples of HCC was evaluated by immunohistochemical method. Additionally, the correlation between DEK expression and the clinicopathological features was evaluated by x(2) test or Fisher's exact test, the survival rates were calculated by the Kaplan-Meier method, and the relationship between prognostic factors and patient survival was also by the Cox analysis. RESULTS: DEK protein expression was noted in 86 cases of HCC, and 61 cases of normal liver tissues. DEK positive rate were closely correlated with the tumor size, grade, AJCC stage and survival rate (P<0.05, respectively). HCC with large tumor, lower grade, and late-stage, concomitant with DEK expression, had the lowest 5-years survival rate than HCC with above factors but without DEK expression (P<0.01, respectively). DEK expression emerged as significant independent hazard factors for survival in HCC (P<0.01). CONCLUSIONS: DEK could promote aggressiveness of cancer behavior, and hence poor prognosis of the HCC. It might be an independent poor prognostic factor and can serve as a useful new therapeutic biomarker.