Biomarker For Prognosis Research Articles

HERC5: a comprehensive in silico analysis of its diagnostic, prognostic, and therapeutic potential in cancer.

HERC5, a vital protein in the HERC family, plays crucial roles in immune response, cancer progression, and antiviral defense. This bioinformatic study comprehensively assessed HERC5's significance across various malignancies by analyzing its gene expression, immune and molecular subtype expressions, target proteins, biological functions, and prognostic and diagnostic values in pan-cancer. We further examined its correlation with clinical features, co-expressed and differentially expressed genes, and prognosis in clinical subgroups, focusing on endometrial cancer (UCEC). Our findings showed that HERC5 RNA is expressed at low levels in most cancers and significantly differs across immune and molecular subtypes. HERC5 accurately predicts cancer and correlates with most cancer prognoses. In UCEC, HERC5 was significantly associated with age, hormonal status, clinical stage, treatment status, and metastasis. Elevated HERC5 expression was linked to worse progression-free interval, disease-specific survival, and overall survival in UCEC, particularly in diverse clinical subgroups. Significant differences in HERC5 expression were also observed in various human cancer cell line validations. In summary, HERC5 may be a critical biomarker for pan-cancer prognosis, progression, and diagnosis, as well as a promising new target for cancer therapy.

LDH-C4 is a potential autophagy-related prognosis biomarker with functional significance in cervical cancer

LDH-C4 is a potential autophagy-related prognosis biomarker with functional significance in cervical cancer

Serum transferrin concentration: a new prognostic biomarker in heart failure with reduced ejection fraction

Abstract Introduction Iron deficiency (ID) is a common comorbidity in patients with reduced heart failure (HFrEF), and is associated with poor clinical status and outcomes, but there is not enough data investigating serum transferrin concentration (STC) as a biomarker HFrEF to predict prognosis and mortality. Purpose We investigated relationship between STC at admission and all-cause mortality during follow-up in HFrEF. Methods We reviewed the medical data of 420 patients hospitalised in our institution for HFrEF over a period of 18 months. Laboratory tests were performed on the first 24 hours of admission. Patients were divided into two groups according to STC, using the value of 199 μg/dl as the cut-off. This value was determined from the ROC analysis to be the value with the highest sensitivity and specificity. Then we analysed relationship between STC at admission and all-cause mortality during follow-up between the two groups, after adjustment of the various variables described in the literature. Results Of 420 patients with HFrEF, 18.6% had STC ≤ 199 μg/dl (group 1) and 81.4% had STC > 199 μg/dl (group 2) with no difference in age and sex distribution (p = 0.873 ; p = 0.304). Patients with low STC were more likely to be diabetic (70.5% vs 46.5% ; p < 0.001), have dyslipidemia (52.6% vs 33%; p = 0.002), and history of chronic renal failure (6.4% vs 2.0% ; p = 0.045). There was no relation between STC and NYHA class (p = 0.776), hospital stay (p = 0.491) nor EF (p = 0.146). Biologically, lower STC was significantly associated with higher serum ferritin (292.77 vs 198.17 ; p < 0.001), TSAT (68.30 vs 22.21 ; p = 0.020) and C-reactive protein (CRP) (124.91 vs 39.98 ; p = < 0.001), lower plasma B-type natriuretic peptide (BNP) (5798.32 vs 6449.97 ; p = 0.002), with no difference in haemoglobin level (p = 0.272) and estimated glomerular filtration rate (eGFR) (p = 0.260). The prevalence of iron deficiency by the ESC criteria was lower in those with low STC; ferritin < 100 μg/l (15.4% vs 29.2% ; p = 0.015) or TSAT < 20% (33.3% vs 51,8% ; p = 0.004). There was no difference between the two groups in term of NYHA class and EF at three months (p = 0.87, p = 0.108). However, all-cause mortality during follow-up was significantly associated with low STC (37.2% vs 17.0% ; p <0.001). (Figure 1) In multivariable analysis, all-cause mortality was independently associated with STC ≤ 199 μg/dl (HR 1.71; 95% CI : 1.08 ; 2.7 ; p = 0.02). This is the same finding for the ischaemic origin of HFrEF (HR 2.1 ; p = 0.001), therapeutic inertia during follow-up (HR 5.53 ; p <0.001) and EF < 36% (HR 1.03 ; p = 0.047) (Figure 2). Conclusion More data are required before the routine use of STC as a biomarker of prognosis in HFrEF, but it may represent a reliable and cost-effective option to predict mortality.FIGURE 1FIGURE 2

Changes in N-terminal pro b-type natriuretic peptide according to SGLT2 inhibitor utilization patterns in patients hospitalized for decompensated heart failure: a prospective cohort study

Abstract Introduction Sodium-glucose cotransporter-2 (SGLT2) inhibitors have found success in treating patients with chronic heart failure (HF) across the entire spectrum of left ventricular ejection fraction (EF). Their benefits may also extend to patients with acute HF decompensation, as they may aid effective decongestion. Purpose This study aims to present the various patterns in changes of N-terminal pro b-type natriuretic peptide (NT-proBNP) according to SGLT2 inhibitor use in patients hospitalized for acute HF decompensation. Methods In this prospective cohort study, we enrolled consecutive patients hospitalized for HF decompensation during a 4-month period in a cardiology department. Prior medical history and cardiovascular risk factors were recorded. The patterns in SGLT2 inhibitor use were noted and patients were classified into three groups; Group 1 (No SGLT2 inhibitor use/Discontinuation), Group 2 (Prior SGLT2 inhibitor use and continuation), and Group 2 (SGLT2i-naïve and initiation). Categorization according to left ventricular (EF) to HF with reduced EF (HFrEF), HF with mildly reduced EF (HFmrEF), and HF with preserved EF (HFpEF) was also performed. Moreover, estimated glomerular filtration rate (eGFR) was used as an estimate of renal function. Results In this analysis, 159 patients were included (median age: 79 years old, male sex: 64.8%, median duration of hospitalization: 6 days). In this population, 67.9% of the patients were not receiving a SGLT2 inhibitor on admission. Concerning demographic and clinical variables (Figure 1), there were no major differences in age, sex distribution, history of diabetes mellitus, dyslipidemia, and atrial fibrillation, as well as in renal function. Group 2 patients had a lower prevalence of arterial hypertension compared to Group 3 (36.6% vs. 52.6%, p<0.05). Moving to the changes in NTproBNP (Figure 2), we observed that patients who did not use SGLT2 inhibitors and did not initiate them during hospitalization had negligible changes in NTproBNP, either as an absolute change (Group 1: 506 (8792) pg/ml vs. Group 2: -5610 (9461) pg/ml vs. Group 3: -3602 (4409) pg/ml, p=0.001) or as percentage change (Group 1: -2.1 (63.4) % vs. Group 2: -30.3 (39.0) % vs. Group 3: -38.3 (41.5) %, p=0.001), compared to the rest of the study population who were already taking SGLT2 inhibitors or initiated them during hospitalization. Conclusion In this study we found NTproBNP, a widely used biomarker of congestion and prognosis in HF, was significantly reduced in decompensated HF patients receiving SGLT2 inhibitors, with the greatest change being observed in those being treatment-naïve prior to admission. These findings further highlight the role of this drug class even in the acute phase of the disease.Figure 1Figure 2

Changes in blood metabolomes as potential biomarkers for severity and prognosis in doxorubicin-induced heart failure: a study in HER2-positive and HER2-negative breast cancer patients

Abstract Background The use of doxorubicin for breast cancer treatment is often limited due to cardiotoxicity. Doxorubicin was shown to cause the alterations of cardiac metabolome levels in doxorubicin-treated rats. Interestingly, these changes were robustly associated with the development of doxorubicin-induced heart failure. Unfortunately, measurements of cardiac metabolome levels are rarely possible in humans. Hence, non-invasive biomarkers as representatives of doxorubicin-induced heart failure are required in clinical research and practice. Human epidermal growth factor receptor 2 (HER2) is a point of interest in breast cancer treatment. HER2 is associated with tumor aggressiveness. However, it was observed that HER2 protected against systemic oxidative stress and dilated cardiomyopathy. Therefore, we hypothesized that the alterations of blood metabolome levels and cardiac functions following doxorubicin treatment were different between HER2-positive and HER2-negative breast cancer patients. Purpose We determined the potential roles of changes in blood metabolomes as severity and prognostic markers of doxorubicin-induced heart failure. In addition, the changes in blood metabolomes and cardiac parameters following doxorubicin treatment in HER2-positive and HER2-negative breast cancer patients were compared. Methods HER2-positive (n=37) and HER2-negative (n=37) breast cancer patients were enrolled. Echocardiography, heart rate variability, and blood collection were performed at baseline and 2 weeks after completion of doxorubicin treatment in all patients, as well as at 3 months after completion of doxorubicin treatment in HER2-negative breast cancer patients. Blood obtained at all 3 time points was processed for measuring cardiac injury markers. Blood obtained at baseline and 2 weeks after completion of doxorubicin treatment was also processed for measuring oxidative stress in peripheral blood mononuclear cells using flow cytometry and 85 metabolome levels in plasma using mass spectrometry-based targeted metabolomics. Results Cardiac injury and systolic dysfunction at 2 weeks after completion of doxorubicin treatment were comparable between HER2-positive and HER2-negative breast cancer patients. However, only HER2-negative breast cancer patients exhibited increased systemic oxidative stress and cardiac autonomic dysfunction at this time point. Moreover, 33 and 29 blood metabolomes were altered at 2 weeks after completion of doxorubicin treatment in HER2-positive and HER2-negative breast cancer patients, respectively (Figure). Interestingly, the changes in most of these metabolomes were correlated with the changes in cardiac parameters, both at 2 weeks and 3 months after completion of doxorubicin treatment (Figure). Conclusions The changes in blood metabolomes following doxorubicin treatment were dependent on HER2 status, which might be served as severity and prognostic markers of doxorubicin-induced heart failure.

Improved prognosis prediction of idiopathic pulmonary arterial hypertension using targeted plasma proteomics in disease management

Abstract Background Idiopathic pulmonary arterial hypertension (IPAH), a special subgroup of PAH with unclear etiology, is characterized by rapid progression and poor prognosis underscoring the need for optimization of IPAH management and the accurate prediction of prognosis. However, it is disappointing that specific plasma biomarkers for IPAH management and prognosis are lacking in clinical practice. Up to date, the plasma biomarkers used for assessment of IPAH severity and prognosis are relied solely on indicators such as N-terminal prohormone of brain natriuretic peptide, or brain natriuretic peptide, which could reflect cardiac function but fail to promptly response to the dynamic change of disease condition due to the complexity of IPAH pathogenesis. Purpose We evaluated the prognostic value of plasma proteins in addition to current clinical predictors for prognosis prediction of IPAH. Methods Olink Immune-Response panel was used to measure 92 plasma proteins in a prospective IPAH cohort with 169 patients and a mean follow-up period of 2.4 ± 0.9 years. Six machine learning methods were used to construct predictive models, including plasma proteins-based Olink models, clinical parameters-based clinical models, and integrative models. Results A total of 18 proteins showed differential expression between patients with or without adverse clinical outcomes. Three proteins (STC1, CXADR, and IL6) were strongly correlated with clinical indicators of IPAH severity and their concentrations showed upward trends along with increased risk stratification. Elevated levels of STC1, CXADR, and IL6 are all associated with an increased risk of adverse clinical events, indicated by survival analysis, restricted cubic splines, and multivariable Cox regression analysis (STC1 HR=3.474, 95%CI: 1.129-10.692, P=0.030; CXADR: HR=1.602, 95%CI: 1.074-2.387, P=0.021; IL6: HR=1.883, 95%CI: 1.376-2.576, P<0.001). The inclusion of these three proteins into the predictive model could significantly increase the predictive power on the basis of the clinical model (AUC: 0.746 vs 0.626). Conclusions High levels of STC1, CXADR, and IL6 in plasma were associated with severe clinical phenotype and increased risk of adverse clinical events in patients with IPAH. These plasma proteins could significantly improve the prognostic performance of pre-existing clinical models, facilitating the clinical management of IPAH patients.The predictive efficient of models

Characterization of mitochondrial DNA mutations in colorectal cancer progression by in silico approach and use as potential biomarkers for diagnosis and prognosis

BackgroundMitochondrial DNA variants are significant contributors to cancer progression, as evidenced by numerous findings. This study focuses on characterizing mitochondrial DNA mutations in colorectal cancer progression and their potential as biomarkers.MethodologyNext generation sequencing technology was employed to analyze mitochondrial DNA variants in tumor and adjacent normal tissues from 25 patients with colon/rectal cancer. In silico prediction tools (SIFT, Polyphen2, Mutation Assessor, and SNP&GO) were utilized to assess the pathogenicity of these variants. Additionally, homology modeling of mutated protein structures was conducted, and molecular dynamic simulations were performed to assess the impact of mutation on protein function.ResultsEighteen variants were identified across most tumor tissue samples, located in genes from Complex I, IV, and V. Among the identified variants, the V302M and S461 mutations in the MT-ND5 gene and L137F and L220P mutations in the ATP6 gene were predicted to be deleterious, potentially affecting protein function. 3D structural analysis of both wild-type and mutant proteins of MT-ND5 revealed changes in flexibility for the V302M and S461G mutations. The MT-ATP6 mutations L135F and L220P disrupt the interactions with surrounding residues and affect the overall function of protein. Further changes in protein dynamics of the mutated proteins by molecular dynamic simulations also indicate the effects; the mutations have on protein function.ConclusionMT-ND5 and MT-ATP6 variants could serve as potential biomarkers and drug targets in colorectal cancer. This study underscores the significance of mitochondrial DNA variants in cancer progression.

E-selectin and asymmetric dimethylarginine plasma levels in adult cyanotic congenital heart disease patients: relation to biochemical parameters, vascular function, and clinical status.

Abstract Background and Aim Patients with cyanosis secondary to congenital heart disease (CHD) are characterized by erythrocytosis and increased blood viscosity, which contributes to endothelial dysfunction, increased arterial stiffness, and impaired vascular function, which may affect the final clinical presentation. Asymmetric dimethylarginine (ADMA) and e-selectin (e-sel) are valuable biomarkers for prognosis of endocardial dysfunction and vascular damage. Their concentration levels in blood serum have the potential to be a rapid and easily accessible tool that reflects the severity of the disease. We aimed to assess e-sel and ADMA levels, their relationship with clinical status, as well as endothelial and vascular function. Methods A cross-sectional study including 36 adult CHD cyanotic patients [(17 males)(42.3 +/- 16.3 years)] with arterial blood oxygen saturation less than 92% and 20 healthy controls [(10 males)( 38.2 +/- 8.5 years)] was performed. All patients underwent clinical examination, blood testing, and cardiopulmonary tests. Endothelial function was assessed using intima-media thickness and flow-mediated dilatation (FMD). Vascular function using applanation tonometry methods was completed while considering aortic systolic pressure, aortic pulse pressure (AoPP), augmentation pressure (AP), augmentation index (AI), pulse pressure amplification (PPampl), and pulse wave velocity (PWV). Results Concentrations of e-sel and ADMA were significantly higher in patients with CHD than in controls (56.3 ± 13.6 ng/mL vs. 15.5 +/- 8.6 ng/mL, p<0.001) and (1.48 ± 0.48 ng/mL vs. 0.46 ± 0.1 ng/mL, p<0.001) respectively. E-sel levels correlated with gender, blood oxygen saturation, red blood cell, hemoglobin concentration, hematocrit, augmentation pressure, forced expiratory one second volume, forced vital capacity, and oxygen uptake. ADMA levels were found to correlate with age only. Conclusions E-sel level, unlike ADMA concentration, reflects the degree of severity of erythrocytosis and hypoxia and, thus, the physical status of patients with cyanotic CHD. E-selectin predicts increased augmentation pressure.Figure 1.A) ROC analysis for e-selectin

Baseline right ventricular-pulmonary artery uncoupling and mortality following transcatheter aortic valve replacement: a meta-analysis

Abstract Background In severe aortic stenosis (AS) patients, elevated left-sided filling pressures can lead to pulmonary hypertension and right ventricular (RV) systolic dysfunction. These conditions signal advanced disease and predict poor outcomes in transcatheter aortic valve replacement (TAVR) cases. However, recent studies indicate potential recovery post-TAVR, with improved prognosis. The newly recognized index, RV to pulmonary artery (RV-PA) coupling, reflects the RV's ability to handle pulmonary afterload and is associated with adverse outcomes. Purpose This study aimed to delineate the prognostic role of baseline RV-PA uncoupling in patients undergoing TAVR. Methods We conducted a systematic literature search for studies assessing RV-PA coupling indices at baseline in patients undergoing TAVR. We recorded the year of publication, method of RV-PA assessment, the proposed cutoffs, patients’ age-sex, and follow-up duration. The primary outcome of interest was all-cause mortality at maximal follow-up and the adjusted hazard ratios of RV-PA uncoupling for all-cause mortality were extracted. Pooling of the hazard ratios was conducted according to a random effects model. I2 was chosen as the measure of between-study heterogeneity, with values exceeding 50% being significant. Results We identified a total of 316 studies, of which 5 were ultimately selected for data extraction and inclusion in the meta-analysis after screening of title/abstract/full-text. All but one study utilized the Tricuspid Annular Plane Systolic Excursion/Pulmonary artery systolic pressure (TAPSE/PASP) as the method of RV-PA assessment. The mean age of the participants across the studies was approximately 81 years old, with a balanced male:female ratio. The median follow-up duration was 23 months (range: 6-40 months). According to the results of the meta-analysis, the presence of baseline RV-PA uncoupling was associated with a 2.8-fold increased risk of all-cause mortality at maximal follow-up (Figure). Significant between-study heterogeneity was detected. An asymmetric funnel plot was inspected, indicative of publication bias (Egger’s test intercept: 6.76, 95% confidence interval 5.07-8.44, p=0.004). The results, although attenuated, remained significant even after a trim-and-fill analysis (3 studies added, hazard ratio: 1.27, 95% confidence interval: 0.03-2.51, p=0.04). Furthermore, the results were unaffected following a sensitivity analysis with the leave-one-out method. Conclusion This meta-analysis suggests that baseline RV-PA uncoupling prior to TAVR is associated with all-cause mortality and it could serve as an imaging biomarker of prognosis in this patient population.Figure

Circulating beta-hydroxybutyrate levels are associated with major adverse clinical events in patients with acute myocardial infarction

Abstract Background Acute myocardial infarction (AMI) is associated with high mortality, and effective biomarkers are required for the risk stratification of patients with AMI. In cardiovascular diseases, circulating levels of ketone bodies (KB) such as beta-hydroxybutyrate (BHB) and acetoacetate are altered. However, the relationship between circulating KB levels and major adverse clinical events (MACE) in patients with ST-elevation myocardial infarction (STEMI) is unknown. Methods Patients with STEMI undergoing percutaneous coronary intervention (PCI) between January 2010 to June 2020 were enrolled, and divided into T1 (< 0.09 mmol/L, n=219), T2 (0.09-0.28 mmol/L, n=202), and T3 (> 0.28 mmol/L, n=211) tertiles according to the circulating BHB levels within 24 h of admission. The primary endpoint was in-hospital MACE, including all-cause mortality, stroke, recurrence of AMI, or target vessel revascularization. Results The incidence of in-hospital MACE in the T3 group (20.9%) was significantly higher than in the T1 group (10.5%) and T2 group (14.9%) (P=0.012). Multivariate logistic regression analysis showed that elevated circulating BHB levels were associated with an increased risk of all-cause mortality and MACE during hospitalization (OR = 1.41, 95% CI = 1.08-1.85, P = 0.012). During follow-up period, multivariate Cox regression analyses showed that elevated circulating BHB levels were associated with higher all-cause mortality and MACE (OR = 1.36, 95% CI = 1.19-1.56, P < 0.001). The impact of BHB on MACE were similar for all the subgroups. Conclusion Elevated circulating BHB levels within 24 h of admission were associated with an increased risk of MACE in patients with STEMI undergoing PCI, and could be a promising prognosis biomarker.

Development and verification of a novel risk model related to ubiquitination linked with prognosis and therapeutic response in clear cell renal cell carcinoma

Increasing evidence highlights the important role of ubiquitination in cancer. The objective of our study is to establish a reliable marker for predicting clinical outcomes and treatment responses in patients with clear cell renal cell carcinoma (ccRCC) using genes related to ubiquitination (URGs). The URGs subtypes were identified using consensus clustering based on TCGA-KIRC, and a signature containing the prognostic differentially expressed genes of the subtypes was determined using LASSO and Cox regression analysis. To demonstrate the strength of the signature, verification analyses were performed on both E-MTAB-1980 and TCGA-KIRC test datasets. We developed a nomogram to enhance the effectiveness of our predictive tool. Risk genes expression was determined through RT-qPCR. Six genes were combined to create the URGs signature, which had a highly correlated with patient prognosis in patients with ccRCC. A nomogram was developed based on the URGs signature and clinicopathological characteristics. We found that the predictive power was substantially greater than the other individual predictors. Moreover, the study on the immune microenvironment revealed significant variations in the levels of immune cells and the expression of immune checkpoint genes among the groups categorized as high-risk and low-risk. Furthermore, it was found that immunotherapy yielded better outcomes in cohorts with low risk. The URGs signature might serve as a novel and powerful prognosis biomarker and offer a momentous reference for individualized treatment for patients in ccRCC.

Unveiling novel prognostic biomarkers and therapeutic targets for HBV-associated hepatocellular carcinoma through integrated bioinformatic analysis.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths globally, with limited treatment options. The goal of this study was to use integrated bioinformatic analysis to find possible biomarkers for prognosis and therapeutic targets for hepatitis B (HBV)-associated HCC. Three microarray datasets (GSE84402, GSE121248, and E-GEOD-19665) from patients with HBV-associated HCC were combined and analyzed. We identified differentially expressed genes (DEGs) and performed pathway enrichment analysis. We constructed protein-protein interaction networks to identify hub genes. We identified a total of 374 DEGs, which included 90 up-regulated and 284 down-regulated genes. Pathway enrichment analysis revealed associations with cell cycle, oocyte meiosis, and the p53 signaling pathway for up-regulated DEGs. Twenty hub genes were identified, and 9 of them (ZWINT, MELK, DLGAP5, BIRC5, AURKA, HMMR, CDK1, TTK, and MAD2L1) were validated using the Cancer Genome Atlas data and Kaplan-Meier survival analysis. These genes were significantly associated with a poor prognosis in HCC patients. Our research shows that ZWINT, MELK, DLGAP5, BIRC5, AURKA, HMMR, CDK1, TTK, and MAD2L1 may be useful for predicting how HBV-associated HCC will progress and for finding new ways to treat it. In addition to these further studies are needed to elucidate the functions of the remaining 11 identified hub genes (RRM2, NUSAP1, PBK, CCNB1, CCNB2, BUB1B, NEK2, CENPF, ASPM, TOP2A, and BUB1) in HCC development and progression.

Role of baseline soluble tumor necrosis factor receptor 2 as a biomarker in primary podocytopathy: Implications for renal impairment and disease progression

BackgroundPodocytopathies, including minimal change disease (MCD), focal segmental glomerulosclerosis (FSGS), and collapsing glomerulopathy (CG), are kidney diseases that damage glomerular podocytes, leading to heavy proteinuria and nephrotic syndrome (NS). Inflammation plays a critical role in the progression of chronic kidney disease (CKD), with recent studies linking inflammatory biomarkers to declining kidney function. Tumor necrosis factor-alpha (TNF-α), an essential inflammatory cytokine, interacts with its circulating receptors, TNFR1 and TNFR2. The TNF-α pathway has been implicated in the pathogenesis of FSGS and MCD. Increased circulating TNFR2 levels have been associated with worsening renal function in podocytopathies, suggesting that the TNF-α inflammatory pathway significantly contributes to disease progression.MethodsWe conducted a study involving 53 patients with biopsy-proven MCD or FSGS and 53 healthy, age- and gender-matched controls. All patients were followed for 18 months. We analyzed serum and urine TNFR2 levels and gene expression at baseline and after three months. To assess the ability of TNFR2 to predict persistent decline in estimated glomerular filtration rate (eGFR < 30 mL/min/1.73m2), remission, and relapse, we employed Cox regression analysis. Additionally, we evaluated its prognostic utility for predicting progression to stage 4 CKD using ROC curve analysis.ResultsSerum and urine TNFR2 levels were significantly elevated in patients compared to controls. Serum TNFR2 was a significant predictor in univariate Cox regression analysis for persistent eGFR decline (HR 1.017, 95% CI: 1.003 to 1.032, p = 0.018), remission (HR 0.995, 95% CI: 0.992 to 0.999, p = 0.006), and relapse (HR 1.005, 95% CI: 1.001 to 1.010, p = 0.029). The ROC curve analysis demonstrated that serum TNFR2 levels had a strong prognostic ability for predicting progression to stage 4 CKD, with an AUC of 0.848 (95% CI: 0.737—0.960), sensitivity of 81%, and specificity of 71%.ConclusionThis study underscores the critical role of circulating TNFR2 in kidney injury among patients with primary podocytopathy. Elevated TNFR2 levels are significant predictors of persistent eGFR decline and disease relapse, highlighting their potential as biomarkers for disease progression and prognosis.

An Investigation of the Effect of the Traditional Naxi Herbal Formula Against Liver Cancer Through Network Pharmacology, Molecular Docking, and In Vitro Experiments

Background/Objectives: The formula Chong-Lou-Yao-Fang (CLYF) is an herbal medicinal formulation developed by the indigenous Naxi people for treating liver cancer. This study was to reveal the biological activity, potential targets, and molecular mechanisms of CLYF for cancer treatment. Methods: Network pharmacology, microarray data analysis, survival analysis, and molecular docking were employed to predict potential compounds, targets, and pathways for the treatment of liver cancer. In vitro experiments and Western blot validation were conducted to confirm these predictions. Results: 35 key compounds and 20 core targets were screened from CLYF, involving signaling pathways for PI3K–Akt, MAPK, hepatitis B and C, which were effective for liver cancer treatment. Microarray data analysis and survival analysis indicated that EGFR and TP53 serve as promising biomarkers for diagnosis and prognosis in liver cancer. Molecular docking revealed stable binding between EGFR, TP53, and AKT1 with active ingredients. Cell experiments confirmed that CLYF-A suppressed cell proliferation, induced apoptosis, and caused cell cycle arrest in HepG2 cells, which were associated with a loss of mitochondrial membrane potential. Compared to the control group, the relative protein expression levels of EGFR and AKT1 significantly decreased following treatment with CLYF-A, while TP53 levels increased significantly. Conclusions: Verification of the anticancer activity of CLYF and its potential mechanisms may have important implications for anticancer therapies. Our results may provide a scientific basis for the clinical use of CLYF for cancer treatment and have important implications for developing pharmaceutical preparations, which also need more pharmacological experiments, clinical experiments, and in vivo experiments.

Identification of exosomal ceRNA networks as prognostic markers in clear cell renal cell carcinoma.

Aggressive clear cell renal cell carcinoma (ccRCC) has a bad prognosis. We seek new ccRCC biomarkers for diagnosis and treatment. We used exoRBase and The Cancer Genome Atlas Database to compare DEmRNAs, DEmiRNAs, DElncRNAs, and DEcircRNAs in ccRCC and normal renal tissues. CircRNAs and circRNAs targeting microRNAs (miRNAs) were anticipated and taken intersections, and several databases assessed the targeted link between common miRNAs and messenger RNAs (mRNAs). The Cancer Genome Atlas database was used to create a predictive mRNA signature that was validated in E-MTAB-1980. Finally, we examined competing endogenous RNA network miRNAs and long noncoding RNAs for ccRCC predictive biomarkers using overall survival analysis. We built the first competing endogenous RNA regulation network of circRNA-lncRNA-miRNA-mRNA and found that it substantially correlates with ccRCC prognosis. We unveiled ccRCC's posttranscriptional regulation mechanism in greater detail. Our findings identified novel biomarkers for ccRCC diagnosis, therapy, and prognosis.

Nonasthmatic Eosinophilic Bronchitis: A Systematic Review of Current Treatment Options.

Nonasthmatic eosinophilic bronchitis is characterized by persistent dry or barely productive cough and bronchial eosinophilia without airway obstruction or bronchial hyperreactivity. It is primarily a chronic disease, in which some patients have clinical and pathophysiological relapses, while others progress to asthma or chronic obstructive pulmonary disease. It accounts for 5% to 30% of cases referred for chronic cough. Exposure to common inhalants and occupational sensitizers has been proposed as a possible cause of the disease, although the etiology and underlying mechanisms are uncertain. Some features are similar to those of asthma, such as airway eosinophilia, inflammatory mediator levels, and airway remodeling. Differences in airway pathophysiology, such as the location of airway inflammation and levels of IL-13 and PGE-2, have been reported. Sputum cell count is the gold standard test for diagnosis, and other biomarkers, such as exhaled nitric oxide, could support the diagnosis. A systematic review of treatments for the disease shows that while inhaled corticosteroids are the primary option, the appropriate dose, the type of corticosteroid, and the duration of treatment remain unknown. Treatment duration is inversely correlated with the relapse rate. Increased doses of inhaled corticosteroids, oral corticosteroids, and leukotriene receptor antagonists are recommended in persistent disease. Anti-IL-5 biologics could be promising in this disease. Studies that investigate biomarkers for diagnosis and prognosis are necessary, as are randomized controlled studies for second-line treatments.

The role of exosomes in liver cancer: comprehensive insights from biological function to therapeutic applications

In recent years, cancer, especially primary liver cancer (including hepatocellular carcinoma and intrahepatic cholangiocarcinoma), has posed a serious threat to human health. In the field of liver cancer, exosomes play an important role in liver cancer initiation, metastasis and interaction with the tumor microenvironment. Exosomes are a class of nanoscale extracellular vesicles (EVs)secreted by most cells and rich in bioactive molecules, including RNA, proteins and lipids, that mediate intercellular communication during physiological and pathological processes. This review reviews the multiple roles of exosomes in liver cancer, including the initiation, progression, and metastasis of liver cancer, as well as their effects on angiogenesis, epithelial-mesenchymal transformation (EMT), immune evasion, and drug resistance. Exosomes have great potential as biomarkers for liver cancer diagnosis and prognosis because they carry specific molecular markers that facilitate early detection and evaluation of treatment outcomes. In addition, exosomes, as a new type of drug delivery vector, have unique advantages in the targeted therapy of liver cancer and provide a new strategy for the treatment of liver cancer. The challenges and prospects of exosome-based immunotherapy in the treatment of liver cancer were also discussed. However, challenges such as the standardization of isolation techniques and the scalability of therapeutic applications remain significant hurdles.

The Multifaceted Role of Epithelial Membrane Protein 2 in Cancer: from Biomarker to Therapeutic Target.

Tetraspanin superfamily proteins not only facilitate the trafficking of specific proteins to distinct plasma membrane domains but also influence cell-to-cell and cell-extracellular matrix interactions. Among these proteins, Epithelial Membrane Protein 2 (EMP2), a member of the growth arrest-specific gene 3/peripheral myelin protein 22 (GAS3/PMP22) family, is known to affect key cellular processes. Recent studies have revealed that EMP2 modulates critical signaling pathways and interacts with adhesion molecules and growth factor receptors, underscoring its potential as a biomarker for cancer diagnosis and prognosis. These findings suggest that EMP2 expression patterns could provide valuable insights into tumorigenesis and metastasis. Moreover, EMP2 has emerged as a promising therapeutic target, with approaches aimed at inhibiting or modulating its activity showing potential to disrupt tumor growth and metastasis. This review provides a comprehensive overview of recent advances in understanding the multifaceted roles of EMP2 in cancer, with a focus on its underlying mechanisms and clinical significance.

Serum Exosomal MiR-874 as a Potential Biomarker for Nonsmall Cell Lung Cancer Diagnosis and Prognosis

AbstractLung cancer, primarily nonsmall cell lung cancer (NSCLC), is a leading cause of cancer-related fatalities globally. Due to late detection, the 5-year survival rate for NSCLC remains low. Therefore, the current research aimed to assess the diagnostic and prognostic value of serum exosomal miR-874 levels in NSCLC patients. This study involved 161 NSCLC patients and 80 control subjects. Blood samples were collected from all participants, and serum exosomal MiR-874 levels were quantified using quantitative reverse transcription-polymerase chain reaction. The study revealed a significant decrease in MiR-874 levels among NSCLC patients compared to controls. The receiver operating characteristic analysis demonstrated the diagnostic value of serum exosomal MiR-874 in effectively distinguishing NSCLC patients from controls.Furthermore, associations were observed between serum exosomal MiR-874 expression and adverse clinical factors such as young age, male sex, smoking, high tumor grade, squamous cell carcinoma histopathology, advanced tumor stage, and lymphatic involvement. Patients with high levels of MiR-874 had significantly longer overall and disease-free survival compared to those with lower levels. The study demonstrates that levels of serum exosomal miR-874 are considerably lower in NSCLC patients, indicating its potential as a diagnostic biomarker. The study's findings suggest that the expression of MiR-874 may predict the prognosis of NSCLC patients based on clinical features.

Exosomal miRNA as biomarker in cancer diagnosis and prognosis: A review.

Exosomes, which are extracellular vesicles with a diameter ranging from 40 to 160 nm, are abundantly present in various body fluids. Exosomal microRNA (ex-miR), due to its exceptional sensitivity and specificity, has garnered significant attention. Notably, ex-miR is consistently detected in almost all bodily fluids, highlighting its potential as a reliable biomarker. This attribute of ex-miR has piqued considerable interest in its application as a diagnostic tool for the early detection, continuous monitoring, and prognosis evaluation of cancer. Given the critical role of exosomes and their cargo in cancer biology, this review explores the intricate processes of exosome biogenesis and uptake, their multifaceted roles in cancer development and progression, and the potential of ex-miRs as biomarkers for tumor diagnosis and prognosis.