YKL-40 in the diagnosis, prediction of prognosis, and platinum sensitivity in serous epithelial ovarian cancer

The chitinases as biomarkers in immune-mediate diseases

The role of chitinases has been focused as potential biomarkers in a wide number of inflammatory diseases, in monitoring active disease state, and predicting prognosis and response to therapies. The main chitinases, CHIT1 and YKL-40, are derived from 18 glycosyl hydrolases macrophage activation and play important roles in defense against chitin-containing pathogens and in food processing. Moreover, chitinases may have organ- as well as cell-specific effects in the context of infectious diseases and inflammatory disorders and able to induce tissue remodelling. The CHIT1 measurement is an easy, reproducible, reliable, and cost-effective affordable assay. The clinical use of CHIT1 for the screening of lysosomal storage disorders is quite practical, when proper cut-off values are determined for each laboratory. The potential of CHIT1 and chitinases has not been fully explored yet and future studies will produce many surprising discoveries in the immunology and allergology fields of research. However, since the presence of a null CHIT1 gene in a subpopulation would be responsible of false-negative values, the assay should be completed with the other markers such ACE and, if necessary, by genetic analysis when CHIT1 is unexpected low.

YKL-40 as a novel biomarker in cardio-metabolic disorders and inflammatory diseases

Dyslipidaemia is associated with numerous health problems that include the combination of insulin resistance, hypertension and obesity, ie, metabolic syndrome. Although the use of statins to decrease serum low density lipoprotein cholesterol (LDL-C) has been an effective therapeutic in treating atherosclerosis, the persistence of high atherosclerotic risk, ie, residual risk, is notable and is not simply explained as a phenomenon of dyslipidaemia. As such, it is imperative that we identify new biomarkers to monitor treatment and more accurately predict future cardiovascular events. This athero-protective strategy includes the assessment of novel inflammatory biomarkers such as YKL-40. Recent evidence has implicated YKL-40 in patients with inflammatory diseases and cardio-metabolic disorders, making it potentially useful to evaluate disease severity, prognosis and survival. In this review, we summarize role of YKL-40 in the pathogenesis of cardio-metabolic disorders and explore its use as a novel biomarker for monitoring athero-protective therapy.

Monocyte-lymphocyte ratio is a valuable predictor for diabetic nephropathy in patients with type 2 diabetes

Diabetic nephropathy (DN) is serious threat to human health. Therefore, early prediction of its occurrence is important. This study aimed to assess the predictive significance of monocyte-lymphocyte ratio (MLR) for DN.A total of 301 patients with type 2 diabetes (T2D), including 212 T2D patients without diabetic-related complications and 99 DN patients, were enrolled. Peripheral white blood cells were measured before treatment to calculate MLR, and the risk factors and predictive significance for T2D and DN were assessed.T2D patients without diabetic-related complications had higher MLR than control patients (P < .01). However, MLR was significantly higher in DN patients than in T2D patients without diabetic-related complications (P < .001). According to MLR quartiles, higher MLR in DN patients was correlated with higher serum creatinine, estimated glomerular filtration rate, and urinary albumin excretion (UAE) levels (P < .01 or P < .001). Furthermore, MLR was positively correlated with UAE level (R = 0.5973; P < .01) and an independent predictor for DN (odds ratio: 7.667; 95% confidence interval [CI]: 3.689-21.312; P < .001). The area under the receiver-operating characteristic (ROC) curve for MLR was 0.874 (95%CI: 0.830-0.918, P < .001). When the optimal cutoff value was 0.23, the sensitivity and specificity of MLR for DN prediction were 0.85 and 0.74, respectively.The present findings suggest that MLR is a powerful independent predictor for DN.

Clinical and prognostic significance of combined plasma fibrinogen concentrations and the monocyte-to-lymphocyte ratio in patients with ovarian cancer

Background

Fibrinogen concentrations and the monocyte-to-lymphocyte ratio (FC-MLR) are associated with progression and outcomes of many malignancies. This study aimed to assess the clinical and prognostic significance of the combination of plasma FC-MLR in patients with ovarian cancer.

Methods

A total of 155 patients with epithelial ovarian cancer (EOC) and 102 patients with benign gynecological disease were retrospectively reviewed. The clinical and pathological data of all patients with EOC were analyzed. Plasma fibrinogen concentrations and the white blood cell (WBC) count were measured to calculate the MLR and neutrophil-to-lymphocyte ratio (NLR). Furthermore, the association of fibrinogen concentrations, the MLR, and FC-MLR with tumor stage, lymphatic and venous metastasis, and 5-year survival was assessed. Regression analysis was performed to evaluate the risk factors for progression of EOC. Receiver operating characteristic (ROC) curves were constructed to assess the prognostic power of plasma fibrinogen concentrations, the MLR, and FC-MLR, and to determine the optimal cutoff values of fibrinogen and the MLR. On the basis of the cutoff values, patients with EOC were divided into three groups: no abnormality, either increased, and both increased groups, respectively. The effect of FC-MLR on overall survival was calculated by the Kaplan-Meier method and compared by the log-rank test in the three groups.

Results

Patients with EOC had higher fibrinogen concentrations and a higher MLR than did controls (both P<0.01), and FC-MLR was closely associated with tumor stage and lymphatic and venous metastasis (all P<0.001). Furthermore, FC-MLR was an independent risk factor for progression of EOC (OR =8.985; 95% CI: 4.912-27.166; P<0.001), and patients with high fibrinogen concentrations and a high MLR showed a lower 5-year survival rate (P<0.001).

Conclusions

FC-MLR may be used as a predictor of tumor progression and prognosis for ovarian cancer.