Association Between Mean Platelet Volume, Platelet Count, and Distribution Width With Depth of Invasion in Oral Cancers

Mean platelet volume and the association with all-cause mortality and cardiovascular mortality among incident peritoneal dialysis patients

BACKGROUND

While mean platelet volume (MPV) is linked to severity and all-cause mortality in patients with sepsis, its association with all-cause mortality and cardiovascular mortality in patients treated with peritoneal dialysis (PD) remains unknown.

OBJECTIVES

The purpose of this study was to estimate the relationship between MPV and all-cause mortality and cardiovascular mortality among patients treated with PD.

METHOD

We retrospectively collected 1322 patients treated with PD from November 1, 2005 to August 31, 2019. All-cause mortality and cardiovascular mortality was identified as the primary outcome. MPV was classified into three categories by means of X-tile software. The correlation between MPV and all-cause mortality was assessed by Cox model. Survival curves were performed by Kaplan-Meier method.

RESULTS

The median follow-up period was 50 months (30-80 months), and a total of 360 deaths were recorded. With respect to all-cause mortality, patients in MVP ≥ 10.2 fL had considerably higher risk of all-cause mortality among three models (HR 0.68, 95%CI 0.56-0.84; HR 0.70, 95%CI 0.56-0.87; HR 0.73, 95%CI 0.59-0.91; respectively). Moreover, patients treated with PD, whose MVP ≥ 10.2 fL, also suffered from significantly higher risk of cardiovascular mortality in model 1, 2, and 3 (HR 0.63, 95%CI 0.46-0.85; HR 0.66, 95%CI 0.48-0.91; HR 0.69, 95%CI 0.50-0.95; respectively).

CONCLUSIONS

This study indicates that MPV is independently correlated with both all-cause mortality and cardiovascular mortality in PD.

Platelet detection as a new liquid biopsy tool for human cancers

Cancer is still a leading cause of death worldwide and liquid biopsy is a powerful tool that can be applied to different stages of cancer screening and treatment. However, as the second most abundant cell type in the bloodstream, platelets are isolated through well-established and fast methods in clinic but their value as a BioSource of cancer biomarkers is relatively recent. Many studies demonstrated the bidirectional interaction between cancer cells and platelets. Platelets transfer various proteins (e.g., growth factors, cytokine, chemokines) and RNAs (e.g., mRNA, lncRNA, miRNA, circRNA) into the tumor cells and microenvironment, leading the stimulation of tumor growth and metastasis. In turn, the platelet clinical characteristics (e.g., count and volume) and contents (e.g., RNA and protein) are altered by the interactions with cancer cells and this enables the early cancer detection using these features of platelets. In addition, platelet-derived microparticles also demonstrate the prediction power of being cancer biomarkers. In this review, we focus on the clinical applications of platelet detection using the platelet count, mean platelet volume, platelet RNA and protein profiles for human cancers and discuss the gap in bringing these implementations into the clinic.