Yunxia Wan’s research while affiliated with Queensland University of Technology and other places

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Publications (22)


Fig. 1 Median and Interquartile ranges with individual values of A baseline Gal-3 concentrations, B baseline NT-proBNP 1-76aa concentration, C baseline NT-proBNP 13-71aa concentration, D the changes of Gal-3 concentrations between 1 month post discharge and baseline, E
Prognostic utility of serum NT-proBNP (fragments 1-76aa and 13-71aa) and galectin-3 in predicting death and re-hospitalisation due to cardiovascular events in patients with heart failure
  • Article
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August 2023

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51 Reads

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3 Citations

Heart and Vessels

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Yunxia Wan

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Patients with heart failure (HF) are at a higher risk of rehospitalisation. In this study, we investigated the prognostic utility of galectin-3 (Gal-3) and NT-proBNP fragments (1-76aa and 13-71aa) as biomarkers to predict outcomes for patients with HF. We collected blood samples from patients with HF ( n = 101). Gal-3 and NT-proBNP fragments (1–76aa and 13–71aa) concentrations were measured by immunoassay. Survival analysis and Cox proportional regression models were used to determine the prognostic utility of Gal-3 and NT-proBNP fragments. In patients with increased baseline levels of NT-proBNP 1-76 the time to primary endpoint (cardiovascular death or re-hospitalisation) was significantly shorter ( p = 0.0058), but not in patient with increased baseline levels of Gal-3 or NTproBNP 13-71 . Patients with increased levels of NT-proBNP 13-71aa at 1 month showed reduced time to the primary endpoint ( p = 0.0123). Our findings demonstrated that Gal-3 and NT-proBNP can be used as prognostic biomarkers to stratify patients with HF.

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The presence of HPV16 DNA in both saliva and salivary exosomes derived from HPV- 1 driven OPC patients. 2
Proteomic Alterations in Salivary Exosomes Derived from Human Papillomavirus-Driven Oropharyngeal Cancer

June 2021

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64 Reads

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20 Citations

Molecular Diagnosis & Therapy

Background Increasing evidence supports the notion that human papillomavirus (HPV) DNA integration onto the human genome can influence and alter the molecular cargo in the exosomes derived from head and neck cancer cells. However, the molecular cargo of salivary exosomes derived from HPV-driven oropharyngeal cancer (HPV-driven OPC) remains unelucidated.Methods and materialsSalivary exosomes morphology and molecular characterizations were examined using the nanoparticle tracking (NTA), western blot analysis, transmission electron microscopy (TEM) and mass spectrometry analysis.ResultsWe report that HPV16 DNA was detected (80%) in isolated salivary exosomes of HPV-driven OPC patients. Importantly, we demonstrate elevated protein levels of six main glycolytic enzymes [i.e., aldolase (ALDOA), glyceraldehye-3-phosphate dehydrogenase (GAPDH), lactate dehydrogenase A/B (LDHA and LDHB), phosphoglycerate kinase 1 (PGK1) and pyruvate kinase M1/2 (PKM)] in isolated salivary exosomes of HPV-driven OPC patients, suggesting a novel mechanism underlying the potential role of salivary exosomes in mediating the reciprocal interplay between glucose metabolism and HPV-driven OPC.Conclusion Our data demonstrate the potential diagnostic value of HPV16 DNA and glycolytic enzymes in salivary exosomes in discriminating healthy controls from HPV-driven OPC patients, thereby opening new avenues in the future for clinical translation studies.


Reduction of cell proliferation and migration when oral cavity cancer cell lines are over expressed with miR-9-5p. Each experiment was repeated at least twice, and the results from a representative experiment are presented as the mean ± SD. Overexpression of miR-9-5p significantly reduced cellular proliferation in Cal27 (a), UD-SCC-9 (b) and SCC-25 (c) cell lines compared with HTR alone and miR control. Two independent transwell assays showed significant reductions in cell migration at 48.13 ± 2.64% in Cal27 (d, P < 0.05), 26.19 ± 6.67% in UD-SCC-9 (e, P < 0.05) and 38.01 ± 26.82% in SCC-25 (f, P < 0.05), respectively (p values: * < 0.05; **** < 0.0001) when miR-9-5p is overexpressed compared with the HTR alone and miR control. Note that, no significant difference was observed in either cell proliferation or migration of oral cavity cancer cell lines after transfecting with either miR control or HTR alone
Overexpression of miR-9-5p in oral cavity cancer cell lines lead to the induction of the late apoptosis and shuttling of Galectin-3 from the cytoplasm to the nucleus. a Over expression of miR-9-5p in OCC cell lines at 48 h led to late apoptosis measured by flow cytometry, as detected by Annexin V Alexa Fluor™ 488 and PI staining. In OCC cells after transfection with miR-9-5p compared with the HTR alone, apoptosis increased in cells at 2.13-fold, 1.32-fold and 2.23-fold in Cal27, UD-SCC-9 and SCC-25, respectively; when compared to miR control, the increase was at 2.07-fold, 1.79-fold and 2.74-fold in Cal27, UD-SCC-9 and SCC-25, respectively. Notably, the subtle apoptosis was presented in SCC-9 transfected with miR-9-5p mimic when compared to HTR alone and miR control. b Western blot analysis confirmed the elevated expression of two secreted Galectin-3 isoforms in OCC cells after miR-9-5p mimic overexpression. In contrast, the total protein levels of Galectin-3 was drastically decreased. c Galectin-3 secretion in OCC cells after transfecting with miR-9-5p mimic, HTR alone and miR control was measured using ELISA. Ordinary one-way ANOVA test showed that a significant elevation of the secreted Galectin-3 was observed in the supernatants of OCC cells transfected with miR-9-5p mimic, when compared to HTR alone (P = 0.0263, P = 0.0204, no significance) and miR control (P < 0.001, P = 0.004, P = 0.0272). (p values: * < 0.05;*** < 0.001; ns: no significance)
Overexpression of miR-9-5p in oral cavity cancer cell lines deactivate MMP2 and MMP3/MMP10. Bio-Plex Pro™ Human MMP Panel, zymography and western blot revealed MMP2 changes in both the concentrated conditioned medium and the cell lysate, compared to HTR alone and miR control. a (ELISA), b (zymogram) and c (Western Blot) illustrated that miR-9-5p overexpression caused a reduction in MMP 2 levels in contrast to its inhibitor TIMP-1, which was increased (c). Western Blot also confirmed that proMMP2 was downregulated after overexpression of miR-9-5p in OCC cells. Bio-Plex Pro™ Human MMP Panel also revealed a quantitative reduction of both MMP3 and MMP10 in the concentrated conditioned medium of OCC cells after miR-9 overexpression (a). However, the changes of both expression levels were variable in three OCC cells lines. MMP2, MMP3 and MMP10 expression levels were significantly decreased in UD-SCC-9 after miR-9 overexpression. (p values: * < 0.05; ** < 0.01,**** < 0.0001)
Overexpression of miR-9-5p in oral cavity cancer cell lines lead to the downregulation of AKT/γ-catenin pathways. Western blot was used to detect the total levels of AKT, phosphorylated AKT, Erk1/2, phosphorylated Erk1/2(Thr202 /Tyr204) and γ-catenin in cell lysates from three oral cavity cell lines after transfecting with miR-9-5p, miR control and HTR at 48 h. β-actin was used as the protein normalizer. Note that, the downregulation of AKT/γ-catenin signalling pathway was observed in oral cavity cancer cell lines transfected with miR-9-5p
A positive correlation between the expression levels of miR-9-5p and secreted Galectin-3 in saliva samples from oral cavity cancer patients. a miR-9-5p expression levels in OCC patients and controls. b Salivary Galectin-3 concentration in OCC patients and controls. c Spearman correlation coefficient revealed that the secreted Galectin-3 levels was significantly correlated to the expression levels of miR-9-5p in saliva samples collected from OCC patients (r = 1, P = 0.0004). The mean Galectin-3 levels were significantly elevated in saliva samples collected from OCC cancer patients (P = 0.008). Similarly, relatively higher expression levels of miR-9–5-p in saliva samples collected from OCC patients (p < 0.05) compared with HTR and miR control. (p values: * < 0.05; ** < 0.01)
Overexpression of miRNA-9 enhances galectin-3 levels in oral cavity cancers

May 2021

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88 Reads

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9 Citations

Molecular Biology Reports

Oral cavity cancer (OCC) is the predominant subtype of head and neck cancer (HNC) and has up to 50% mortality. Genome-wide microRNA (miR) sequencing data indicates overexpression of miR-9-5p in HNC tumours, however, the biological role of miR-9-5p in OCC is complex; it can either act as a tumour suppressor or an oncomir, regulating many target genes at the post-transcriptional level. We have investigated the overexpression of miR-9-5p in three OCC cell lines. We have evaluated its expression levels and Galectin-3 as potential biomarkers in saliva samples collected from controls and OCC patients. We found that over expression of miR-9-5p in OCC cell lines resulted in a significant reduction in cell proliferation and migration, and an increase in apoptosis, which was paralleled by an increase in Galectin-3 secretion and export of Galectin-3 protein. Our data are consistent with miR-9-5p being a modulator of Galectin-3 via the AKT/γ-catenin pathway. In addition, the positive correlation between the levels of miR-9-5p expression and secreted Galectin-3 in saliva reflects a similar relationship in vivo, and supports the utility of their integrative evaluation in OCC. Our findings indicate that both miR-9-5p and Galectin-3 are critical biomolecules in the progression of OCC.


Fig.2Real-time PCR for HPV DNA loads. (a) The standard curves for HPV 16 E6 and E6/E7 genes using 10-fold diluted DNA of Caski cells. Data are mean ± SE (n = 2); (b) The amplification plots and melt curves of HPV16 positive patient using primers specific to HPV16 E6/E7 and HPV E7; (c) Agarose gel electrophoresis of HPV E7 DNA.
Fig. 3. Kaplan-Meier survival analysis of OSCC using cut off at 25% or 75%. (a) OS, (b) MFS and (c) RFS for OSCC patients using cut off at 25%; (d) OS, (e) MFS and (f) RFS for OSCC patients using cut off at 75%. p16-positive patients with tumor located in the buccal had more RFS than patients with p16-negative patients
Clinical characteristics of 172 cases of oral squamous cell carcinoma according to p16 expression
Relationship between p16 expression and prognosis in different anatomic subsites of OSCC

September 2019

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255 Reads

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9 Citations

Cancer biomarkers: section A of Disease markers

Background: p16 was often found to be overexpressed in HPV-negative oral squamous cell carcinoma (OSCC) patients and its prognostic values between anatomical subsites were still unclear. Objective: The aim of this study is to investigate HPV16 prevalence and p16 expression in three main anatomical subsites of OSCC. Methods: One hundred and forty-seven OSCC patients with tumors arising from tongue, gingiva and buccal were enrolled in this study. p16 expression was detected by immunohistochemistry (IHC) and presence of HPV16 was determined by real time PCR in p16 positive patients. Correlation of p16 expression to the clinical parameters was evaluated. Results: Only one out of 21 p16 positive patients with a cut off value of 25% was HPV16 positive. Although OS, RFS and MFS had no significant differences between the p16 positive and negative patients, p16 negative patients (cut off value 25%) had more RFS than the p16-positive patients in buccal cancer patients (p= 0.03). Conclusions: The prevalence of HPV16 in Chinese OSCC patients was low. p16 overexpression decoupled from HPV infection could not be the prognostic marker for OSCC patients except for the buccal cancer patients.


Development of Paper-Based Analytical Devices for Minimizing the Viscosity Effect in Human Saliva

June 2018

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829 Reads

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43 Citations

Theranostics

Rationale: Saliva as a sample matrix is rapidly gaining interest for disease diagnosis and point-of-care assays because it is easy to collect (non-invasive) and contains many health-related biomarkers. However, saliva poses particular problems relative to more common urine and blood matrices, which includes low analyte concentrations, lack of understanding of biomolecule transportation and inherent viscosity variability in human samples. While several studies have sought to improve assay sensitivity, few have addressed sample viscosity specifically. The goal of this study is to minimize the effect of sample viscosity on paper-based analytical devices (PADs) for the measurement of pH and nitrite in human saliva. Methods: PADs were used to measure salivary pH from 5.0 to 10.0 with a universal indicator consisting of chlorophenol red, phenol red and phenolphthalein. Nitrite determination was performed using the Griess reaction. Artificial saliva with viscosity values between 1.54 and 5.10 mPa∙s was tested on the proposed PAD. To ensure the proposed PADs can be tailored for use in-field analysis, the devices were shipped to Australia and tested with human specimens. Results: Initial experiments showed that viscosity had a significant impact on the calibration curve for nitrite; however, a more consistent curve could be generated when buffer was added after the sample, irrespective of sample viscosity. The linear range for nitrite detection was 0.1 to 2.4 mg/dL using the improved method. The nitrite measurement in artificial saliva also showed a good correlation with the standard spectrophotometry method (p=0.8484, paired sample t-test, n=20). Measured pH values from samples with varying viscosities correlated well with the results from our pH meter. Conclusions: The inherent variation of salivary viscosity that impacts nitrite and pH results can be addressed using a simple washing step on the PAD without the need for complex procedures.


Figure 2: The receiver operator characteristics curve analysis from the independent validation study using saliva (A) HPV-negative HNSCC patients vs controls (B) HPV-positive HNSCC patients vs controls. 
Figure 3: A set of six salivary miRNAs that can discriminate the early stage (Stages I&II) of HPV-positive HNSCC patients from the healthy control smoker and non-smoker group. *P<0.05 and **P<0.01. 
Figure 4: A set of four salivary miRNAs that can be used in discriminating healthy controls from the early stage (Stages I&II) of HPV-negative HNSCC patients. Significant differences are *P<0.05 and ***P<0.001. 
Salivary miRNA panel to detect HPV-positive and HPV-negative head and neck cancer patients

October 2017

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85 Reads

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54 Citations

Oncotarget

Head and neck squamous cell carcinomas (HNSCC) are a heterogeneous group of tumours that originate predominantly from the oral cavity, pharynx and larynx. Our aim was to determine whether salivary miRNA expression levels can diagnose these cancer subtypes. Saliva samples were collected from healthy controls (n=113, smoker and non-smokers), HPV-positive (n=54) and HPV-negative (n=47) HNSCC patients. The miRNA expression levels in saliva was quantified using qPCR. The potential of salivary miRNAs to discriminate these groups of patients was evaluated using multiple logistic regression with ROC analysis and a 10-fold cross-validation analysis. Salivary miRNA-9, -127, -134, -191, -222 and -455 were shown to discriminate a control group from a HPV-negative HNSCC patient group with a sensitivity of 60% and a specificity of 94%; whilst salivary miRNA-9,-134, -196b, -210, and -455 were the most parsimonious subset discriminating a control group from a HPV-positive HNSCC group, with a sensitivity of 65% and a specificity of 95%. Furthermore, miRNA-9, -134, -196b, -210 and -455 as a panel, was the most parsimonious subset to discriminate HPV-positive HNSCC patients from HPV-negative HNSCC patients. In addition, the expression levels of miRNA-9, -127, -196a, -196b, -210, -222 and -455 were significantly increased in the saliva collected from early stage HNSCC patients compared to controls. A future multi-centre confirmatory study is warranted to test the diagnostic performance of these salivary miRNA prior to clinical implementation.



FIG. 2. The stability of APC (A), p16 INK4a (B), and PCQAP (C) tumor suppressor gene methylations at four collection time points. There were no statistical differences among the methylation ratio throughout the day ( p = 0.32, p = 0.85, and p = 0.61, respectively). Mean of the methylation ratio with standard deviations are shown.
FIG. 3. Stability of CD44 genomic DNA amplification at four collection points. DCt with standard deviations is shown.
The Median and Interquartile Ranges for the Salivary Cortisol, Testosterone, and C-Reactive Protein Levels During Four Collection Time Points
Within-Day Baseline Variation in Salivary Biomarkers in Healthy Men

February 2017

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56 Reads

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15 Citations

Omics: a Journal of Integrative Biology

Saliva is an easily accessible sample and offers practical and noninvasive biomarker solutions as an alternative to blood and urine-based diagnostics. Saliva contains a plethora of biomolecules such as nucleic acids, hormones, proteins, and electrolytes. On the other hand, little is known on the extent to which the biomolecules in saliva vary over time within a given person. This baseline information is crucial for future development of robust saliva-based diagnostics. We have collected unstimulated whole mouth saliva from 20 healthy young men at four times during the day, including before and after a meal. We measured the salivary cortisol, testosterone, C-reactive protein (CRP), stability of genomic DNA (gDNA) and DNA methylation levels of APC, P16INK4a, and PCQAP in these samples. We found that the salivary CRP, DNA methylation, and CD44 gDNA levels did not vary significantly across four time points (p > 0.05) while the salivary cortisol and testosterone levels significantly varied from the morning collection to the afternoon collection (p < 0.05). Furthermore, salivary cortisol levels were significantly affected by eating (p < 0.05). Our study offers a within-person baseline temporal assessment of several clinically relevant biomolecules and diagnostics, and suggests that salivary cortisol and testosterone levels vary over time in a given day whereas CRP and DNA methylation of tumor suppressor genes and CD44 amplification are stable throughout the day. Future research and clinical applications of salivary biomarkers and diagnostics should take into consideration their temporal variations.


Figure 1: A six-point standard curve spiking of positive cell line, HeLa in oral adenosquamous cell carcinoma, CAL27 of aRASSF1?, bp16INK4a, cTIMP3, dPCQAP 5? and ePCQAP 3?
Figure 2: Overall DNA methylation profiles in the three groups. Whisker-box plot for the methylation signatures of aRASSF1?, bp16INK4a, cTIMP3, dPCQAP 5? and ePCQAP 3? in the saliva of normal healthy controls (n = 122), HPV-positive (n = 45) and HPV-negative (n = 88) HNSCC patients with inter-quartile range and median shown using non-parametric Mann-Whitney?s U-test. Significant difference between each categories were marked with * = p < 0.05; ** = p < 0.01; *** = p < 0.001; **** = p < 0.0001, respectively
Figure 3: Performance of the panel in detecting HPV-negative and positive HNSCC. Carstensen?s multivariate receiver-operating characteristics curve when all of the five salivary methylation genes are combined, comparing normal healthy controls (n = 122) with HPV-negative HNSCC patients (n = 88) (blue bar); and normal healthy controls (n = 122) with HPV-positive (n = 45) HNSCC patients (red bar) respectively
Salivary DNA methylation panel to diagnose HPV-positive and HPV-negative head and neck cancers

September 2016

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141 Reads

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55 Citations

BMC Cancer

Background Head and neck squamous cell carcinoma (HNSCC) is a heterogeneous group of tumours with a typical 5 year survival rate of <40 %. DNA methylation in tumour-suppressor genes often occurs at an early stage of tumorigenesis, hence DNA methylation can be used as an early tumour biomarker. Saliva is an ideal diagnostic medium to detect early HNSCC tumour activities due to its proximity to tumour site, non-invasiveness and ease of sampling. We test the hypothesis that the surveillance of DNA methylation in five tumour-suppressor genes (RASSF1α, p16INK4a, TIMP3, PCQAP/MED15) will allow us to diagnose HNSCC patients from a normal healthy control group as well as to discriminate between Human Papillomavirus (HPV)-positive and HPV-negative patients. Methods Methylation-specific PCR (MSP) was used to determine the methylation levels of RASSF1α, p16INK4a, TIMP3 and PCQAP/MED15 in DNA isolated from saliva. Statistical analysis was carried out using non-parametric Mann-Whitney’s U-test for individually methylated genes. A logistic regression analysis was carried out to determine the assay sensitivity when combing the five genes. Further, a five-fold cross-validation with a bootstrap procedure was carried out to determine how well the panel will perform in a real clinical scenario. Results Salivary DNA methylation levels were not affected by age. Salivary DNA methylation levels for RASSF1α, p16INK4a, TIMP3 and PCQAP/MED15 were higher in HPV-negative HNSCC patients (n = 88) compared with a normal healthy control group (n = 122) (sensitivity of 71 % and specificity of 80 %). Conversely, DNA methylation levels for these genes were lower in HPV-positive HNSCC patients (n = 45) compared with a normal healthy control group (sensitivity of 80 % and specificity of 74 %), consistent with the proposed aetiology of HPV-positive HNSCCs. Conclusions Salivary DNA tumour-suppressor methylation gene panel has the potential to detect early-stage tumours in HPV-negative HNSCC patients. HPV infection was found to deregulate the methylation levels in HPV-positive HNSCC patients. Large-scale double-blinded clinical trials are crucial before this panel can potentially be integrated into a clinical setting. Electronic supplementary material The online version of this article (doi:10.1186/s12885-016-2785-0) contains supplementary material, which is available to authorized users.


Figure 2 (A) The concentrations of galectin-3 in saliva ( plot on left Y-axis) and in serum ( plot on right Y-axis) in healthy controls. (B) The concentrations of galectin-3 in saliva ( plot on left Y-axis) and in serum ( plot on right Y-axis) in patients with heart failure (HF).  
Figure 3 Correlation between serum and salivary galectin-3 level.  
Figure 4 ROC curves analysis of (A) salivary galectin-3 and (B) serum galectin-3. AUC, area under the curve; NPV, negative predictive value; PPV, positive predictive value; ROC, receiver operator characteristic.  
A pilot study to demonstrate diagnostic potential of galectin-3 levels in saliva

June 2016

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302 Reads

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28 Citations

Journal of Clinical Pathology

Aim Heart failure (HF) affects millions of older individuals in both developed and low/middle-income countries. Serum galectin-3 levels have been shown to have prognostic value. However, its use as a diagnostic biomarker has not been explored. The aim was to establish a saliva galectin-3 reference range and to demonstrate the potential diagnostic utility of salivary and serum galectin-3 levels in assessing HF. Methods Blood and saliva samples were collected from age-matched healthy controls (n=51) and patients with HF (n=63). Customised immunoassays were developed to quantify salivary galectin-3 levels. The diagnostic performances of these assays were evaluated by receiver operator characteristic (ROC) curves analysis. Results The galectin-3 concentrations were significantly elevated in saliva and serum samples of patients with HF compared with controls (p<0.001 and p<0.0001, respectively). Using ROC curve analysis, both serum and salivary galectin-3 gave area under the curve (AUC)=0.86 and AUC=0.73, respectively. There was also a significant correlation (r=0.4, p<0.01) between serum and salivary galectin-3 levels. Conclusions For the first time, we have quantified galectin-3 levels in human saliva and have demonstrated potential clinical utility in diagnosing HF. Further, larger multicentre clinical trials are needed before salivary galectin-3 levels can be implemented in a clinical setting.


Citations (17)


... N-terminal pro brain natriuretic peptide (NT-proBNP) is reliably measured in clinical practice as a biomarker reflecting myocardial stress, and has been used for the diagnosis of heart failure (HF), understanding its status, and the prediction of the prognosis of HF patients both with reduced and preserved ejection fraction (HFrEF and HFpEF). [1][2][3] However, it has been reported that NT-proBNP is confounded by clinical indicators represented by age, body mass index (BMI), cardiac hypertrophy, atrial fibrillation (AF), and estimated glomerular filtration rate (eGFR). [4][5][6] Because of the 7 variance of NT-proBNP level influenced by these factors, clinicians often feel difficult to interpret the value of NT-proBNP. ...

Reference:

Prognostic utility and cutoff differences of NT-proBNP level across subgroups in heart failure with preserved ejection fraction: Insights from the PURSUIT-HFpEF Registry
Prognostic utility of serum NT-proBNP (fragments 1-76aa and 13-71aa) and galectin-3 in predicting death and re-hospitalisation due to cardiovascular events in patients with heart failure

Heart and Vessels

... Recently, other molecular techniques have been proposed in the literature, aiming to perform targeted follow-up and early detection of residual disease, with a view of enabling personalized and tailored treatments. (i) Some studies have evaluated the presence of HPVDNA in saliva, but these findings, although promising, are still at an early stage, and for the present time, saliva sampling with HPVDNA assay is proposed as a complement to ctHPVDNA and not as its replacement [41][42][43]. Furthermore, recent evidence suggests that it has good potential for assessing treatment response [44]. ...

Proteomic Alterations in Salivary Exosomes Derived from Human Papillomavirus-Driven Oropharyngeal Cancer

Molecular Diagnosis & Therapy

... Some of these molecules have been previously implicated in cancer progression, which supports our findings. For instance, miR-9-5p has been reported to promote growth, metastasis, and radioresistance in various cancers, including non-small cell lung cancer (NSCLC), prostate cancer, cervical cancer, and oral cancer [31][32][33][34][35]. Similarly, miR-135b-5p and miR-581c-5p are significantly overexpressed and may serve as potential prognostic biomarkers in HNC [36][37][38]. ...

Overexpression of miRNA-9 enhances galectin-3 levels in oral cavity cancers

Molecular Biology Reports

... Most studies report no significant influence of the p16 INK4a status on OS or RFS in OSCC (13,23). However, there is a divergence of study results, with some authors suggesting a negative (24) or positive (25) prognostic impact. ...

Relationship between p16 expression and prognosis in different anatomic subsites of OSCC

Cancer biomarkers: section A of Disease markers

... Theoretically, it is better to accept a value that is close to the normal range (46). Saliva's pH typically ranges between 6.2 to 7.6 and is roughly 6.7 (47). The evaluation of matrix erosion was performed for the estimation of disrupted matrix of swelled tablets at the end of 6 h. ...

Development of Paper-Based Analytical Devices for Minimizing the Viscosity Effect in Human Saliva

Theranostics

... For example, salivary miR-122, miR-124, miR-205 and miR-146a are potential differentiators between HPV-positive and HPV-negative cancers [69]. Other studies aimed at differentiating HPV-positive and HPV-negative patients reported the discriminatory value of salivary miR-9, miR-134, miR-196b, miR-210 and miR-455 [70], as well as salivary miR-486-5p and miR-20-5p isolated in exosomes of both head and neck cancers and HPV-positive/p16 cervical cancers [71,72]. These data provide clear evidence for the existence of novel circulating molecules that allow to discriminate between HPVassociated tumors. ...

Salivary miRNA panel to detect HPV-positive and HPV-negative head and neck cancer patients

Oncotarget

... As some steroid hormones vary on a daily, monthly, or seasonal scale, it is important to keep the time of the measurement consistent (e.g. time of day or phase of the ovulatory cycle) or control for the time of measurement in robustness analyses (Schultheiss and Stanton 2009; for T see also Idris et al. 2017; for C see also Kirschbaum and Hellhammer 1989). Furthermore, contamination of samples can severely bias K Content courtesy of Springer Nature, terms of use apply. ...

Within-Day Baseline Variation in Salivary Biomarkers in Healthy Men

Omics: a Journal of Integrative Biology

... No studies were found about the value of GAL-3 as a diagnostic biomarker in lung cancer. However, some groups have reported that serum galectin-3 is higher in cases with pancreatic carcinoma than in benign pancreatic diseases and healthy subjects [58], which has also been observed in heart and kidney diseases [59,60]. Furthermore, patients with metastatic prostate cancer had higher levels of serum galectin-3 compared with control subjects without cancer [61]. ...

A pilot study to demonstrate diagnostic potential of galectin-3 levels in saliva

Journal of Clinical Pathology

... Saliva has emerged as a promising tool to develop noninvasive diagnostic liquid biopsy methodologies and detect various diseases. In recent times, salivary biomarkers have been identified for oral (Lousada-Fernandez et al., 2018), colorectal (Loktionov, 2020), neck (Ovchinnikov et al., 2014;Chai et al., 2016;Wan et al., 2017), and gastric cancers (Li et al., 2018b). Discovery of biomarkers from saliva specimens has gained importance due to ease of collection and minimal sample processing time. ...

A pilot study to compare the detection of HPV-16 biomarkers in salivary oral rinses with tumour p16INK4a expression in head and neck squamous cell carcinoma patients

BMC Cancer