CAFs-derived exosomes promote the development of cervical cancer by regulating miR-18a-5p-TMEM170B signaling axis.

Mounting studies have showed that tumor microenvironment (TME) is crucial for cervical cancer (CC), and cancer-related fibroblasts (CAFs) play a major role in it. Recently, exosomal miRNAs secreted by CAFs have been found to be potential targets for cancer diagnosis and therapy. In this paper, we aimed to investigate the function of CAFs-mediated exosome miR-18a-5p (CAFs-exo-miR-18a-5p) in CC. First, in combination with bioinformatic data analysis of the GEO database (GSE86100) and RT-qPCR of CC clinical tissue samples and cell lines, miR-18a-5p was discovered to be markedly up-regulated in CC. Next, CAFs-secreted exosomes were isolated and it was found that miR-18a-5p expression was dramatically promoted in CC cell lines when treated with CAFs-exos. The CAFs-exo-miR-18a-5p was then elucidated to stimulate the proliferation and migration and inhibit the apoptosis of CC cells. In order to clarify the underlying mechanism, we further screened the target genes of miR-18a-5p. TMEM170B was selected by bioinformatic data analysis of online databases combined with RT-qPCR of CC clinical tissues and cells. Luciferase reporter gene analysis combined with molecular biology experiments further elucidated that miR-18a-5p suppressed TMEM170B expression in CC. Finally, both cell and animal experiments demonstrated that TMEM170B over-expression attenuated the oncogenic effect of CAFs-exo-miR-18a-5p. In conclusion, our study indicates that CAFs-mediated exosome miR-18a-5p promotes the initiation and development of CC by suppressing TMEM170B signaling axis, which provides a possible direction for the diagnosis and therapy of CC.

Evaluation of hippocampal volume and serum brain-derived neurotrophic factor as potential diagnostic markers of conversion from amnestic mild cognitive impairment to Alzheimer disease: A STROBE-compliant article.

Amnestic mild cognitive impairment (aMCI) is a transitional stage between normal aging and Alzheimer disease (AD), and is associated with an increased risk of AD. Many studies have shown that apolipoprotein E epsilon 4 (APOE ε4) genotype is a major genetic predictor of AD progression, especially in patients with aMCI. However, the application of APOE genotyping in the diagnosis of MCI progressing to AD is limited by its low sensitivity and specificity, which often leads to high false-positive rate. The aim of this study was to evaluate serum brain-derived neurotrophic factor (BDNF) and hippocampal volume as predictors of aMCI to AD transition in APOE ε4 genotype patients.A total of 178 subjects were diagnosed with aMCI. The patients with aMCI that progressed to AD within 2 years were included in the MCI-AD group (n = 86), those maintaining an aMCI diagnosis after 2 years were placed in the MCI-MCI group (n = 92), and neurologically healthy age-matched individuals were set as controls (n = 90). APOE genotypes were determined. Blood samples from all subjects were drawn at baseline, 12 months, and 24 months for serum BNDF assessments. Hippocampal delineations were monitored by magnetic resonance imaging.Compared to control group, aMCI-AD patients (the patients with aMCI that progressed to AD within 2 years) exhibited worse performance on cognitive and neuropsychological batteries. Meanwhile, we found that aMCI-AD patients were associated with abnormally low serum BDNF level and greater hippocampal volume loss than MCI-MCI patients (patients maintaining an aMCI diagnosis after 2 years). Moreover, patients with aMCI who were carriers of APOE ε4 showed a notable decrease in serum BDNF and a significant reduction in hippocampal volume, especially in those who progressed to AD.The present study demonstrates that aMCI that evolves into AD in patients with the APOE ε4 genotype may be predicted by hippocampal volume and serum BDNF.

[Diagnostic Value of Combined Examination Using 5 Technigues for Myelodysplastic Syndrome].

OBJECTIVE: To investigate the potential value of combined examinations of peripheral blood smear, bone marrow smear, bone marrow biopsy, chromosome banding analysis and flow cytometry (FCM) in the diagnoisis of myelodysplastic syndromes. METHODS: A total of 105 MDS patients who were admitted in our hospital from May 2013 to May 2015 and were diagnosed as MDS according to the criteria formulated by WHO were enrolled in this study. The accordance rate of diagnosis by the double test (peripheral blood smear plus bone marrow smear), triple test (above mentioned 2 tests plus bone marrow biopsy), quadruple test (above 3 tests plus chromosome banding analysis), and quintuple test (above 4 plus FCM) was amalyzed and compared. RESULTS: Among the 105 MDS patients, the diagnosis accordance rate was 70.48% for double tests, while 83.81%, 84.76% and 93.33% for triple, quadruple and quintuplet tests, respectively which were significantly higher than that for double tests (peripheral blood smear plus bone marrow smear) (P < 0.05). CONCLUSION: The combined examination of the 5 methods can improve the accuracy of MDS diagnosis.

Combining serum and urine biomarkers in the early diagnosis of mild cognitive impairment that evolves into Alzheimer's disease in patients with the apolipoprotein E ϵ4 genotype.

Possession of the apolipoprotein E (APOE) ϵ4 genotype is a major predictor of progression to Alzheimer's disease (AD), particularly in patients with mild cognitive impairment (MCI). However, the use of APOE genotyping in the diagnosis of MCI is limited due to its low sensitivity and specificity, which often results in a high false-positive rate. In this study, we found that there was a significant decrease in serum BDNF and notable increase in urine AD7c-NTP in MCI patients who harbored the APOE ϵ4 allele. Both serum BDNF and urine AD7c-NTP had higher positive predictive values and were more sensitive biomarkers of MCI. Additionally, a testing strategy employing serum BDNF and urine AD7c-NTP revealed increases in sensitivity, positive and negative predictive values, and predictive ability compared with the use of either biomarker alone, suggested that combinatorial detection might have great potential for translation to the clinic.