Objectives: This study investigated plasma exosomal miRNA-139-3p as a blood-based biomarker for the early diagnosis and metastasis monitoring of colorectal cancer (CRC). Patients and Methods: Exosome-rich fractions were isolated from the plasma of 80 CRC patients, and 23 controls using a kit method. We then used real-time polymerase chain reaction (RT-qPCR) to detect miR-139-3p levels in all subjects to evaluate expression levels and the predictive value of plasma exosomal miR-139-3p in CRC. We also collected clinicopathological data to explore correlations between abnormal miR-139-3p expression and clinicopathological parameters. Results: When compared with healthy controls, exosomal miR-139-3p expression levels in CRC patients were significantly down-regulated. Furthermore, these expression levels were lower in metastatic colorectal cancer (mCRC) and submucosal patients. Receiver operating characteristic (ROC) curve analysis showed that exosomal miR-139-3p levels were differentiated between CRC patients and healthy controls, as well as between non-metastatic and metastatic patients. Conclusion: Our findings show that decreased exosomal miR-139-3p expression levels in CRC patient plasma may act as a novel biomarker for the early diagnosis and metastasis monitoring in CRC.

No abstract

Exercise is an important modifiable behaviour. Long-term regular mild exercise should be recommended to improve QoL among stroke survivors.

No abstract

This document provides the results of four experimental designs in addition to the two designs considered in the paper.Design 3: The data are generated based on the ordered probit model, with J = 3,and Z i4 each distributed as i.i.d N (0, 1), Z i3 distributed as i.i.d Bernoulli(0.4), and γ set to one of the following scenarios: S1: γ = (0.15, 0.35, 0.075, −0.02) S2: γ = (0.15, 0.35, 0, 0) S3: γ = (0.15, 0, 0, 0) Design 4: The data are generated based on the nested logit model. We let τ = 0.225, and set all other parameters to the same values as in Design 3. The purpose of these two designs is to ascertain the differences in results under an increased number of explanatory variables.