γ-6-Phosphogluconolactone, a Byproduct of the Oxidative Pentose Phosphate Pathway, Contributes to AMPK Activation through Inhibition of PP2A.

The oxidative pentose phosphate pathway (oxiPPP) contributes to cell metabolism through not only the production of metabolic intermediates and reductive NADPH but also inhibition of LKB1-AMPK signaling by ribulose-5-phosphate (Ru-5-P), the product of the third oxiPPP enzyme 6-phosphogluconate dehydrogenase (6PGD). However, we found that knockdown of glucose-6-phosphate dehydrogenase (G6PD), the first oxiPPP enzyme, did not affect AMPK activation despite decreased Ru-5-P and subsequent LKB1 activation, due to enhanced activity of PP2A, the upstream phosphatase of AMPK. In contrast, knockdown of 6PGD or 6-phosphogluconolactonase (PGLS), the second oxiPPP enzyme, reduced PP2A activity. Mechanistically, knockdown of G6PD or PGLS decreased or increased 6-phosphogluconolactone level, respectively, which enhanced the inhibitory phosphorylation of PP2A by Src. Furthermore, γ-6-phosphogluconolactone, an oxiPPP byproduct with unknown function generated through intramolecular rearrangement of δ-6-phosphogluconolactone, the only substrate of PGLS, bound to Src and enhanced PP2A recruitment. Together, oxiPPP regulates AMPK homeostasis by balancing the opposing LKB1 and PP2A.

DSNetax: a deep learning species annotation method based on a deep-shallow parallel framework.

Microbial community analysis is an important field to study the composition and function of microbial communities. Microbial species annotation is crucial to revealing microorganisms' complex ecological functions in environmental, ecological and host interactions. Currently, widely used methods can suffer from issues such as inaccurate species-level annotations and time and memory constraints, and as sequencing technology advances and sequencing costs decline, microbial species annotation methods with higher quality classification effectiveness become critical. Therefore, we processed 16S rRNA gene sequences into k-mers sets and then used a trained DNABERT model to generate word vectors. We also design a parallel network structure consisting of deep and shallow modules to extract the semantic and detailed features of 16S rRNA gene sequences. Our method can accurately and rapidly classify bacterial sequences at the SILVA database's genus and species level. The database is characterized by long sequence length (1500 base pairs), multiple sequences (428,748 reads) and high similarity. The results show that our method has better performance. The technique is nearly 20% more accurate at the species level than the currently popular naive Bayes-dominated QIIME 2 annotation method, and the top-5 results at the species level differ from BLAST methods by <2%. In summary, our approach combines a multi-module deep learning approach that overcomes the limitations of existing methods, providing an efficient and accurate solution for microbial species labeling and more reliable data support for microbiology research and application.

The Dietary Supplement Chondroitin-4-Sulfate Exhibits Oncogene-Specific Pro-tumor Effects on BRAF V600E Melanoma Cells.

Dietary supplements such as vitamins and minerals are widely used in the hope of improving health but may have unidentified risks and side effects. In particular, a pathogenic link between dietary supplements and specific oncogenes remains unknown. Here we report that chondroitin-4-sulfate (CHSA), a natural glycosaminoglycan approved as a dietary supplement used for osteoarthritis, selectively promotes the tumor growth potential of BRAF V600E-expressing human melanoma cells in patient- and cell line-derived xenograft mice and confers resistance to BRAF inhibitors. Mechanistically, chondroitin sulfate glucuronyltransferase (CSGlcA-T) signals through its product CHSA to enhance casein kinase 2 (CK2)-PTEN binding and consequent phosphorylation and inhibition of PTEN, which requires CHSA chains and is essential to sustain AKT activation in BRAF V600E-expressing melanoma cells. However, this CHSA-dependent PTEN inhibition is dispensable in cancer cells expressing mutant NRAS or PI3KCA, which directly activate the PI3K-AKT pathway. These results suggest that dietary supplements may exhibit oncogene-dependent pro-tumor effects.

Excessive dietary iron exposure increases the susceptibility of largemouth bass (Micropterus salmoides) to Aeromonas hydrophila by interfering with immune response, oxidative stress, and intestinal homeostasis.

Iron is an essential cofactor in the fundamental metabolic pathways of organisms. Moderate iron intake can enhance animal growth performance, while iron overload increases the risk of pathogen infection. Although the impact of iron on the pathogen-host relationship has been confirmed in higher vertebrates, research in fish is extremely limited. The effects and mechanisms of different levels of iron exposure on the infection of Aeromonas hydrophila in largemouth bass (Micropterus salmoides) remain unclear. In this study, experimental diets were prepared by adding 0, 800, 1600, and 3200 mg/kg of FeSO4∙7H2O to the basal feed, and the impact of a 56-day feeding period on the mortality rate of largemouth bass infected with A. hydrophila was analyzed. Additionally, the relationships between mortality rate and tissue iron content, immune regulation, oxidative stress, iron homeostasis, gut microbiota, and tissue morphology were investigated. The results showed that the survival rate of largemouth bass infected with A. hydrophila decreased with increasing iron exposure levels. Excessive dietary iron intake significantly increased iron deposition in the tissues of largemouth bass, reduced the expression and activity of antioxidant enzymes superoxide dismutase, catalase, and glutathione peroxidase, increased the content of lipid peroxidation product malondialdehyde, and thereby induced oxidative stress. Excessive iron supplementation could influence the immune response of largemouth bass by upregulating the expression of pro-inflammatory cytokines in the intestine and liver, while downregulating the expression of anti-inflammatory cytokines. Additionally, excessive iron intake could also affect iron metabolism by inducing the expression of hepcidin, disrupt intestinal homeostasis by interfering with the composition and function of the gut microbiota, and induce damage in the intestinal and hepatic tissues. These research findings provide a partial theoretical basis for deciphering the molecular mechanisms underlying the influence of excessive iron exposure on the susceptibility of largemouth bass to pathogenic bacteria.

Tetrameric Acetyl-CoA Acetyltransferase 1 Is Important for Tumor Growth.

Mitochondrial acetyl-CoA acetyltransferase 1 (ACAT1) regulates pyruvate dehydrogenase complex (PDC) by acetylating pyruvate dehydrogenase (PDH) and PDH phosphatase. How ACAT1 is "hijacked" to contribute to the Warburg effect in human cancer remains unclear. We found that active, tetrameric ACAT1 is commonly upregulated in cells stimulated by EGF and in diverse human cancer cells, where ACAT1 tetramers, but not monomers, are phosphorylated and stabilized by enhanced Y407 phosphorylation. Moreover, we identified arecoline hydrobromide (AH) as a covalent ACAT1 inhibitor that binds to and disrupts only ACAT1 tetramers. The resultant AH-bound ACAT1 monomers cannot reform tetramers. Inhibition of tetrameric ACAT1 by abolishing Y407 phosphorylation or AH treatment results in decreased ACAT1 activity, leading to increased PDC flux and oxidative phosphorylation with attenuated cancer cell proliferation and tumor growth. These findings provide a mechanistic understanding of how oncogenic events signal through distinct acetyltransferases to regulate cancer metabolism and suggest ACAT1 as an anti-cancer target.

The differences in main components, enzyme activity, and microbial composition between substandard and normal jiuyao.

BACKGROUND: Jiuyao is a critical fermenting agent in traditional huangjiu brewing and it affects the quality of huangjiu. To assess and monitor the quality of jiuyao effectively we determined the differences between two common types of substandard jiuyao and normal jiuyao, with emphasis on the comparison of the main components, enzymatic activity, volatile substances, and microbial community structure. RESULTS: The water and starch content, acid protease activity, and esterification capability of type I substandard jiuyao were significantly lower than those of the normal jiuyao, and the protein contents, liquefaction capability, glycation capability, and neutral protease activity were substantially higher than those of the normal jiuyao. Type II substandard jiuyao had significantly lower indices than the normal group except for the starch and free amino acid content, which were significantly higher than those of the normal jiuyao. Significant differences were observed between substandard and normal jiuyao in the content of 21 volatile compounds. 2-Pentylfuran could be used as a marker of substandard jiuyao. Type I substandard jiuyao contained a higher abundance of aerobic Pediococcus and Marivita in comparison with the normal jiuyao. Type II substandard jiuyao consisted of a greater abundance of anaerobic Mucor and Staphylococcus. CONCLUSION: The quality of jiuyao was significantly affected by the water content. Due to the different abundances of aerobic and anaerobic bacteria in jiuyao, oxygen may also be an important parameter affecting the quality of jiuyao. We believe that the present study offers a theoretical basis for the evaluation and control of the quality of jiuyao. © 2023 Society of Chemical Industry.

Screening of marine sediment-derived microorganisms and their bioactive metabolites: a review.

Marine sediments are one of the largest habitats on Earth, and their unique ecology, such as high salinity, high pressure, and hypoxia, may activate certain silent genes in marine microbes, resulting in microbes, enzymes, active products, and specific metabolic pathways that can adapt to these specific ecological environments. Marine sediment-derived microorganisms and their bioactive metabolites are of great significance and have potential commercial development prospects for food, pharmaceutical, chemical industries, agriculture, environmental protection and human nutrition and health. In recent years, although there have been numerous scientific reports surrounding marine sediment-derived microorganisms and their bioactive metabolites, a comprehensive review of their research progress is lacking. This paper presents the development and renewal of traditional culture-dependent and omics analysis techniques and their application to the screening of marine sediment-derived microorganisms producing bioactive substances. It also highlights recent research advances in the last five years surrounding the types, functional properties and potential applications of bioactive metabolites produced by marine sediment-derived microorganisms. These bioactive metabolites mainly include antibiotics, enzymes, enzyme inhibitors, sugars, proteins, peptides, and some other small molecule metabolites. In addition, the review ends with concluding remarks on the challenges and future directions for marine sediment-derived microorganisms and their bioactive metabolites. The review report not only helps to deepen the understanding of marine sediment-derived microorganisms and their bioactive metabolites, but also provides some useful information for the exploitation and utilization of marine microbial resources and the mining of new compounds with potential functional properties.

Artificial intelligence-based approaches for traditional fermented alcoholic beverages' development: review and prospect.

Traditional fermented alcoholic beverages (TFABs) have gained widespread acceptance and enjoyed great popularity for centuries. COVID-19 pandemics lead to the surge in health demand for diet, thus TFABs once again attract increased focus for the health benefits. Though the production technology is quite mature, food companies and research institutions are looking for transformative innovation in TFABs to make healthy, nutritious offerings that give a competitive advantage in current beverage market. The implementation of intelligent platforms enables companies and researchers to gather, store and analyze data in a more convenient way. The development of data collection methods contributed to the big data environment of TFABs, providing a fresh perspective that helps brewers to observe and improve the production steps. Among data analytical tools, Artificial Intelligence (AI) is considered to be one of the most promising methodological approaches for big data analytics and decision-making of automated production, and machine learning (ML) is an important method to fulfill the goal. This review describes the development trends and challenges of TFABs in big data era and summarize the application of AI-based methods in TFABs. Finally, we provide perspectives on the potential research directions of new frontiers in application of AI approaches in the supply chain of TFABs.

Maternal vitamin D status in early pregnancy and its association with gestational diabetes mellitus in Shanghai: a retrospective cohort study.

BACKGROUND: There is growing interest regarding vitamin D and its potential role in gestational diabetes mellitus (GDM). We aimed to assess maternal vitamin D status in early pregnancy and its relationships with the risk of GDM in a Chinese population in Shanghai. METHODS: The retrospective cohort study included a total of 7816 pregnant women who underwent a 75-g oral glucose tolerance test (OGTT) during 24-28 weeks of gestation. Participants' demographic information including maternal age, prepregnancy body mass index (BMI), gestational age, parity, season of blood collection, serum 25-hydroxy vitamin D [25(OH)D] data and other blood biomarker data at 6 to 14 weeks of gestation were retrospectivly extracted from the medical records in the hospital information system. RESULTS: In the cohort, the prevalence of GDM was 8.6% and the prevalence of vitamin D deficiency and insufficiency in early pregnancy was 53.1 and 38.5%, respectively. The mean value of the serum 25(OH)D concentration was 19.6±7.5 ng/mL. The restricted cubic splines model showed an inverted J-shaped relationship in which the risk of GDM decreased when the 25(OH)D concentrations were ≥ 20 ng/mL. Logistic model analysis showed that 25(OH)D concentrations ≥ 30 ng/mL significantly decreased the risk of GDM (odds ratio = 0.63, 95% confidence interval: 0.45-0.89; P = 0.010) compared with 25(OH)D concentrations < 20 ng/ml. CONCLUSIONS: In early pregnancy, vitamin D deficiency and insufficiency were very common, and a high level of vitamin D showed protective effects against the incidence risk of GDM.

Combined effects of fermentation temperature and Saccharomyces cerevisiae strains on free amino acids, flavor substances, and undesirable secondary metabolites in huangjiu fermentation.

Fermentation temperature (FT) is one of the most critical factors, which can be used to control the growth conditions of S. cerevisiae to obtain excellent final products in winemaking. In this study, we analyzed the responses of six S. cerevisiae strains with different temperature preferences to FT (20 °C, 30 °C, and 35 °C) in huangjiu fermentation. The flavor substances, free amino acids and undesirable secondary metabolites related to huangjiu quality were determined. Results indicated that both S. cerevisiae strains and FT had significant effects on huangjiu fermentation, while the effects were strain-independent and differentiated temperature preferences for different fermentation characteristics. We found that the effects of FT were greater than that of S. cerevisiae strains under the premise of satisfying fermentation completion. Low temperature (20 °C) and high temperature (35 °C) fermentation were possible in the production of differentiated industrial huangjiu styles, while the effects of FT on undesirable secondary metabolites needed to be considered before industrial application. The results showed that a combination of FT with one or more S. cerevisiae strains could be used as a fermentation starter in huangjiu production for different types of products.

Developing an innovative raw wheat Qu inoculated with Saccharopolyspora and its application in Huangjiu.

BACKGROUND: Mechanized Huangjiu is a stable product, is not subject to seasonal production restrictions, and markedly reduces labor intensity compared to traditional manual Huangjiu. However, the bitterness of mechanized Huangjiu impedes its further development. RESULTS: Based on process optimization, when the fermentation temperature was 45 °C and the fermentation time was 122 h, the inoculation amount of Saccharopolyspora was 5%, the amount of added water was 26%, and the glucoamylase and amylase activities of wheat Qu increased by 27% and 40% respectively, compared with those before optimization. Huangjiu fermented by raw wheat Qu inoculated with Saccharopolyspora rosea F2014 showed a significant (P < 0.05) decrease in bitter amino acid content (1.24 vs. 2.86 g L-1 , a decrease of 56%), which attenuated its bitterness. CONCLUSION: An innovative fermentation process of inoculating Saccharopolyspora into raw wheat Qu was developed for the first time. Such a process could be used to control bitterness based on raw wheat Qu inoculated with Saccharopolyspora rosea F2014, instead of traditional wheat Qu in Huangjiu fermentation. © 2022 Society of Chemical Industry.

Effect of Preoperative Oral Carbohydrate Loading on Body Temperature During Combined Spinal-Epidural Anesthesia for Elective Cesarean Delivery.

BACKGROUND: Intraoperative hypothermia is a common complication after neuraxial block in cesarean delivery. At least 1 animal study has found that carbohydrate loading can maintain the body temperature of rats during general anesthesia, but it is unclear whether carbohydrate loading is beneficial for body temperature maintenance in parturient women during combined spinal-epidural anesthesia (CSEA) for elective cesarean delivery. METHODS: Women undergoing elective cesarean delivery were randomized into a control group (group C), an oral carbohydrate group (group OC), or an oral placebo group (group OP), with 40 women in each group. Core body temperature (Tc) and body surface temperature (Ts) before and after cesarean delivery, changes in Tc (ΔTc) and Ts (ΔTs), and the incidence of side effects (eg, intraoperative shivering) were compared among the groups. RESULTS: The postoperative Tc (core body temperature after cesarean delivery [Tc2]) of group OC (36.48 [0.48]°C) was higher than those of group C (35.95 [0.55]°C; P < .001), and group OP (36.03 [0.49]°C; P = .001). The ΔTc (0.30 [0.39]°C) in group OC was significantly smaller than those in group C (0.73 [0.40]°C; P = .001) and group OP (0.63 [0.46]°C; P = .0048). CONCLUSIONS: Oral carbohydrate loading 2 hours before surgery facilitated body temperature maintenance during CSEA for elective cesarean delivery.

YTH domain family 2 promotes lung cancer cell growth by facilitating 6-phosphogluconate dehydrogenase mRNA translation.

N6-methyladenosine (m6A) is one of widespread post-transcriptional mRNA modifications in eukaryotes and the m6A modification plays critical roles in various human cancers. However, the role of m6A-binding proteins in cancer metabolism remains elusive. Here, we report that YTH domain family 2 (YTHDF2) is upregulated in lung cancer tissues, promotes lung cancer cell growth and enhances the pentose phosphate pathway (PPP) flux, which is crucial for tumor growth. Mechanistically, YTHDF2 directly binds to the m6A modification site of 6-phosphogluconate dehydrogenase (6PGD) three prime untranslated region (3'-UTR) to promote 6PGD mRNA translation in lung cancer cells. Collectively, our data indicate that YTHDF2 acts as a tumor promoter to enhance tumor growth via facilitating 6PGD mRNA translation.

Metabolomics reveals the effect of valproic acid on MCF-7 and MDA-MB-231 cells.

1. Breast cancer is one of the most common malignancies in women worldwide. Metabolomics has been shown to be a promising strategy to elucidate the underlying pathogenesis of cancer and identify new targets for cancer diagnosis and therapy. Valproic acid (VPA), a histone deacetylase inhibitor, is a potential new drug in tumor therapy. This work used metabolomics to examine the effect of VPA on metabolism in breast cancer cells.2. Based on UPLC-MS/MS, we identified 3137 differential metabolites in human breast cancer MCF-7 cells and 2472 differential metabolites in human breast cancer MDA-MB-231 cells after VPA treatment.3. We selected 63 differential metabolites from MCF-7 samples and 61 differential metabolites from MDA-MB-231 cells with the more conspicuous changing trend. Furfural was up-regulated after VPA treatment in both cell lines. In both samples, VPA exerted an effect on the beta-alanine metabolism pathway and the taurine and hypotaurine metabolism pathway.4. This study identified the effect of VPA on metabolites and metabolic pathways in breast cancer cells, and these findings may contribute to the identification of new targets for breast cancer treatment.

The novel mechanism of valproate to prevent peritoneal adhesion formation.

PURPOSE: A novel pharmacological mechanism of valproate was analyzed using a hamster model of adhesion. METHODS: Valproate or placebo was administered just after cecal injury and adhesion severity scores and histological were analyzed. RESULTS: The adhesion severity scores in the placebo- and valproate-treated groups were 2.67 ± 0.42 and 1.0 ± 0.37, respectively, with a significant difference between the groups. A significant increase in mast cell numbers was observed in the placebo-treated group vs. the sham-operated group; however, the mast cell number in the adhesive lesion was significantly lower in the valproate-treated group than in the placebo-treated group. The number of cells positive for chymase, an enzyme in mast cells, in the adhesive lesion was significantly higher in the placebo-treated group, but its increase was attenuated significantly by treatment with valproate. The myeloperoxidase gene expression level in the cecum was significantly higher in the placebo-treated group than in the sham-operated group, but there was no significant difference in the myeloperoxidase gene expression level between the sham-operated and valproate-treated groups in. In an in vitro experiment, valproate inhibited purified human and hamster chymases dose-dependently. CONCLUSION: The chymase inhibitory effect of valproate may contribute to prevent adhesion formation after abdominal injury.

Emergent perversions in the buckling of heterogeneous elastic strips.

A perversion in an otherwise uniform helical structure, such as a climbing plant tendril, refers to a kink that connects two helices with opposite chiralities. Such singularity structures are widely seen in natural and artificial mechanical systems, and they provide the fundamental mechanism of helical symmetry breaking. However, it is still not clear how perversions arise in various helical structures and which universal principles govern them. As such, a heterogeneous elastic bistrip system provides an excellent model to address these questions. Here, we investigate intrinsic perversion properties which are independent of strip shapes. This study reveals the rich physics of perversions in the 3D elastic system, including the condensation of strain energy over perversions during their formation, the repulsive nature of the perversion-perversion interaction, and the coalescence of perversions that finally leads to a linear defect structure. This study may have implications for understanding relevant biological motifs and for use of perversions as energy storers in the design of micromuscles and soft robotics.

HMG-CoA synthase 1 is a synthetic lethal partner of BRAFV600E in human cancers.

Contributions of metabolic changes to cancer development and maintenance have received increasing attention in recent years. Although many human cancers share similar metabolic alterations, it remains unclear whether oncogene-specific metabolic alterations are required for tumor development. Using an RNAi-based screen targeting the majority of the known metabolic proteins, we recently found that oncogenic BRAFV600E up-regulates HMG-CoA lyase (HMGCL), which converts HMG-CoA to acetyl-CoA and a ketone body, acetoacetate, that selectively enhances BRAFV600E-dependent MEK1 activation in human cancer. Here, we identified HMG-CoA synthase 1 (HMGCS1), the upstream ketogenic enzyme of HMGCL, as an additional "synthetic lethal" partner of BRAFV600E Although HMGCS1 expression did not correlate with BRAFV600E mutation in human melanoma cells, HMGCS1 was selectively important for proliferation of BRAFV600E-positive melanoma and colon cancer cells but not control cells harboring active N/KRAS mutants, and stable knockdown of HMGCS1 only attenuated colony formation and tumor growth potential of BRAFV600E melanoma cells. Moreover, cytosolic HMGCS1 that co-localized with HMGCL and BRAFV600E was more important than the mitochondrial HMGCS2 isoform in BRAFV600E-expressing cancer cells in terms of acetoacetate production. Interestingly, HMGCL knockdown did not affect HMGCS1 expression levels, whereas HMGCS1 knockdown caused a compensating increase in HMGCL protein level because of attenuated protein degradation. However, this increase did not reverse the reduced ketogenesis in HMGCS1 knockdown cells. Mechanistically, HMGCS1 inhibition decreased intracellular acetoacetate levels, leading to reduced BRAFV600E-MEK1 binding and consequent MEK1 activation. We conclude that the ketogenic HMGCS1-HMGCL-acetoacetate axis may represent a promising therapeutic target for managing BRAFV600E-positive human cancers.

Anisotropic contraction of fiber-reinforced hydrogels.

Hydrogels reinforced by fibers can undergo remarkable anisotropic contraction triggered by external stimuli, which has a broad appeal for various applications. However, little is known about how to optimize the contraction anisotropy by tuning the microstructures of fiber-reinforced hydrogels. Here, we investigate the underlying mechanisms controlling the anisotropic contraction of fiber-reinforced hydrogels. Using a simplified model incorporating the directional constraint of the fibers, we show that the contraction anisotropy can be substantially enhanced if the hydrogel is prestretched along the fiber direction. We further explicitly model fibers as periodically distributed cylindrical rods in the finite element simulations, and find that the contraction anisotropy can be maximized by varying the transverse fiber-fiber distance; this maximum anisotropy can be improved by reducing the longitudinal fiber-fiber distance and increasing the fiber length. Our study provides insights into designing novel fiber-reinforced hydrogels, suggesting possible applications in soft robotics, tissue engineering and beyond.

HBXIP suppression reduces cell proliferation and migration and its overexpression predicts poor prognosis in non-small-cell lung cancer.

Emerging evidence has demonstrated that the high expression of HBXIP has been correlated with many cancers. With evaluation of the functional role of HBXIP in non-small-cell lung cancer, the primary aim of this study is to investigate the correlation between HBXIP expression and the prognosis of non-small-cell lung cancer patients. The protein levels of HBXIP were detected using western blotting in non-small-cell lung cancer cells. Cell proliferation and migration assays were measured to evaluate the function of HBXIP in non-small-cell lung cancer cells. A total of 120 non-small-cell lung cancer patients with strict follow-up and 60 adjacent non-tumor lung tissues were selected for immunohistochemical staining of the HBXIP protein. The localization of the HBXIP protein was detected in A549 non-small-cell lung cancer cells using immunofluorescence staining. The correlation between HBXIP expression and the clinicopathological features of non-small-cell lung cancer patients was analyzed by a chi-squared and Fisher's exact test. The overall survival rates of all of the non-small-cell lung cancer patients were calculated using the Kaplan-Meier method, and univariate and multivariate analyses were performed using the Cox proportional hazards regression model. In function, we showed that suppression of HBXIP decreased A549 cell proliferation and migration. HBXIP protein showed a mainly cytoplasmic staining pattern in non-small-cell lung cancer using immunohistochemical staining in paraffin-embedded non-small-cell lung cancer tissues and immunofluorescence staining in A549 cells. The HBXIP protein had strong positive staining in the non-small-cell lung cancer tissues, which was significantly higher than the percentage of adjacent non-tumor tissues. The overexpression of HBXIP was closely correlated with histological grade, clinical stage, lymph node metastasis, and lower overall survival rates of patients with non-small-cell lung cancer. Moreover, multivariate analysis suggested that HBXIP emerged as a significant independent prognostic factor along with clinical stage in patients with non-small-cell lung cancer. In conclusion, a high level of expression of HBXIP is associated with the progression of non-small-cell lung cancer and may be a useful biomarker for poor prognostic evaluation and a potential molecular therapy target for patients with non-small-cell lung cancer.

HBXIP over expression as an independent biomarker for cervical cancer.

BACKGROUND: Emerging evidence demonstrated that hepatitis B virus X-interacting protein (HBXIP) has broad roles in cancers. However, high-level expression of HBXIP has been correlated with human malignancies, suggesting roles in carcinogenesis and tumor progression. The aim of the study is to investigate the role and mechanism of HBXIP oncogene and the correlation to the clinicopathological status in cervical cancers. METHODS: A total of 107 cervical cancer patients with strict follow-up, 105 cervical intraepithelial neoplasia (CIN) and 31 normal cervical epithelia samples were selected for immunohistochemical (IHC) staining of HBXIP protein. Additionally, the cervical cancer cell line of SiHa was included in this study. The relationship between HBXIP expression and clinicopathological characteristics were analyzed to verify the clinical value of HBXIP protein expression in patient prognosis, and survival rates were calculated using the Kaplan-Meier method. RESULTS: HBXIP protein showed a mainly cytoplasmic staining pattern in cervical cancers by using IHC staining in paraffin embedded cervical cancer tissues and IF staining in SiHa cervical cancer cells. The strongly positive rate of HBXIP protein expression was significantly higher in cervical SCCs and CINs than in normal cervical epithelia. HBXIP protein over-expression was significantly correlated with the clinical stage, differentiation, lymph node metastasis, HPV infection, the over-expression of P63 and overall survival rates in cervical cancer. All of these data defined that HBXIP was involved in the progression of the cervical cancer. However, the detailed mechanism need to the further study. CONCLUSIONS: HBXIP over-expression appears to associate with cervical cancer progression, and may potentially be used as a cervical cancer biomarker for the early diagnosis, prognostic evaluation and therapeutic target for cervical cancer.