Estimation of serum sialic acid in oral submucous fibrosis and oral squamous cell carcinoma

Chittemsetti, Samatha; Manchikatla, Praveen Kumar; Guttikonda, Venkateswara Rao

doi:10.4103/jomfp.jomfp_239_18

Cited by 7 publications

(2 citation statements)

References 27 publications

(39 reference statements)

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“…Acetylneuraminic acid (sialic acid [SA]), a nine-carbon monosaccharide initially reported in 1957, may serve as a potential candidate. The termination of glycoprotein side chains and glycolipid side chains, which are fundamental constituents of cellular membranes, occurs at this location ( 16 ). Furthermore, this agent not only provides cytoprotection but also safeguards cell membranes ( 17 ).…”

Section: Introductionmentioning

confidence: 99%

Pretreatment level of serum sialic acid predicts both qualitative and quantitative bone metastases of prostate cancer

Sun,

Tian,

Wang

et al. 2024

Front. Endocrinol.

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BackgroundRecently, serum sialic acid (SA) has emerged as a distinct prognostic marker for prostate cancer (PCa) and bone metastases, warranting differential treatment and prognosis for low-volume (LVD) and high-volume disease (HVD). In clinical settings, evaluating bone metastases can prove advantageous.ObjectivesWe aimed to establish the correlation between SA and both bone metastasis and HVD in newly diagnosed PCa patients.MethodsWe conducted a retrospective analysis of 1202 patients who received a new diagnosis of PCa between November 2014 and February 2021. We compared pretreatment SA levels across multiple groups and investigated the associations between SA levels and the clinical parameters of patients. Additionally, we compared the differences between HVD and LVD. We utilized several statistical methods, including the non-parametric Mann-Whitney U test, Spearman correlation, receiver operating characteristic (ROC) curve analysis, and logistic regression.ResultsThe results indicate that SA may serve as a predictor of bone metastasis in patients with HVD. ROC curve analysis revealed a cut-off value of 56.15 mg/dL with an area under the curve of 0.767 (95% CI: 0.703-0.832, P < 0.001) for bone metastasis versus without bone metastasis and a cut-off value of 65.80 mg/dL with an area under the curve of 0.766 (95% CI: 0.644-0.888, P = 0.003) for HVD versus LVD. Notably, PCa patients with bone metastases exhibited significantly higher SA levels than those without bone metastases, and HVD patients had higher SA levels than LVD patients. In comparison to the non-metastatic and LVD cohorts, the cohort with HVD exhibited higher levels of alkaline phosphatase (AKP) (median, 122.00 U/L), fibrinogen (FIB) (median, 3.63 g/L), and prostate-specific antigen (PSA) (median, 215.70 ng/mL), as well as higher Gleason scores (> 7). Multivariate logistic regression analysis demonstrated that an SA level of > 56.15 mg/dL was independently associated with the presence of bone metastases in PCa patients (OR = 2.966, P = 0.018), while an SA level of > 65.80 mg/dL was independently associated with HVD (OR = 1.194, P = 0.048).ConclusionThe pretreatment serum SA level is positively correlated with the presence of bone metastases.

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Section: Introductionmentioning

confidence: 99%

Pretreatment level of serum sialic acid predicts both qualitative and quantitative bone metastases of prostate cancer

Sun,

Tian,

Wang

et al. 2024

Front. Endocrinol.

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“…In glycoproteins and glycolipids, SA is a series of hydroxylated monosaccharides containing nine carbon atoms at methylated non-reduction terminals In glycoproteins and glycolipids, SA is a series of hydroxylated monosaccharides containing nine carbon atoms at the methylated non-reduction terminals ( 11 ). There has been substantial evidence to demonstrate that cancer is associated with high serum levels of sialic acid, which have been seen in cancer patients in numerous studies ( 12 ), for instance, oral cancer ( 13 ), breast cancer ( 14 ), ovarian cancer ( 15 ) and cholangiocarcinoma ( 16 ).…”

Section: Introductionmentioning

confidence: 99%

The diagnostic effectiveness of serum sialic acid predicts both qualitative and quantitative prostate cancer in patients with prostate-specific antigen between 4 and 20 ng/mL

Sun,

Yan

2023

Front. Endocrinol.

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IntroductionThis study aimed to evaluate the predictive value of the serum biochemical index, including alkaline phosphatase (AKP), lactate dehydrogenase (LDH), α-L-fucosidase (AFU), serum sialic acid (SA), and fibrinogen (FIB), for prostate cancer (PCa) and clinically significant prostate cancer (CSPCa) in patients with a prostate-specific antigen (PSA) value between 4 and 20 ng/mL.Patients and methodsThis study retrospectively examined the clinical data of 408 eligible patients who underwent prostate biopsies in our hospital between March 2015 and July 2022. CSPCa was defined as a “Gleason grade group of≥2”. For analyzing the association between PCa/CSPCa and serum biochemical index, univariable logistic regression and multivariable logistic regression were conducted. Based on the multivariable logistic regression model, we constructed models and compared the area under the curve (AUC). We generated the nomogram, the ROC curve, the DCA curve, and the calibration curve for PCa.ResultsOverall, we studied 271 patients with PCa (including 155 patients with CSPCa) and 137 non-PCa patients. Patients with PCa were more likely to consume alcohol, have higher total PSA (TPSA) values, and have lower free PSA (FPSA) and free/total PSA (f/T) values. There were higher TPSA values and lower f/T values in the CSPCa group when compared with the non-CSPCa group. The univariate logistic regression analyses did not show significant results. However, AKP, AFU, SA, TPSA, and FPSA all retain significant significance when all factors are included in multifactor logistic regression analysis. This finding suggests that the exposure factor exhibited an independent effect on the outcome after controlling for other factors, including the potential confounding effects that may have been underestimated. Through ROC curves, we found that SA and TPSA levels are more powerful predictors. In contrast, there is a lack of excellent predictive value for PCA and CSPCa using Age, AFU, FIB, and FPSA.ConclusionIn our study, serum biochemical index is a potential prediction tool for PCa and CSPCa for patients with PSA values between 4 and 20 ng/mL. Additionally, the new serum biochemical index SA is also useful when diagnosing PCa and CSPCa, as we conclude in our study.

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Evaluation of serum total sialic acid in moderate COVID-19 patients with and without gastrointestinal tract manifestations

2022

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Estimation of serum sialic acid in oral submucous fibrosis and oral squamous cell carcinoma

Cited by 7 publications

References 27 publications

Pretreatment level of serum sialic acid predicts both qualitative and quantitative bone metastases of prostate cancer

Pretreatment level of serum sialic acid predicts both qualitative and quantitative bone metastases of prostate cancer

The diagnostic effectiveness of serum sialic acid predicts both qualitative and quantitative prostate cancer in patients with prostate-specific antigen between 4 and 20 ng/mL

Evaluation of serum total sialic acid in moderate COVID-19 patients with and without gastrointestinal tract manifestations

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