BackgroundThe mechanisms through which physical activity supports healthy brain function remain to be elucidated. One hypothesis suggests that increased brain-derived neurotrophic factor (BDNF) mediates some cognitive and mood benefits. This meta-analysis sought to determine the effect of exercise training on resting concentrations of BDNF in peripheral blood.MethodsMEDLINE, Embase, PsycINFO, SPORTDiscus, Rehabilitation & Sports Medicine Source, and CINAHL databases were searched for original, peer-reviewed reports of peripheral blood BDNF concentrations before and after exercise interventions ≥ 2 weeks. Risk of bias was assessed using standardized criteria. Standardized mean differences (SMDs) were generated from random effects models. Risk of publication bias was assessed using funnel plots and Egger’s test. Potential sources of heterogeneity were explored in subgroup analyses.ResultsIn 29 studies that met inclusion criteria, resting concentrations of peripheral blood BDNF were higher after intervention (SMD = 0.39, 95% CI: 0.17–0.60, p < 0.001). Subgroup analyses suggested a significant effect in aerobic (SMD = 0.66, 95% CI: 0.33–0.99, p < 0.001) but not resistance training (SMD = 0.07, 95% CI: -0.15–0.30, p = 0.52) interventions. No significant difference in effect was observed between males and females, nor in serum vs plasma.ConclusionAerobic but not resistance training interventions increased resting BDNF concentrations in peripheral blood.

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Our data showed the relevance of PD-L1 expression in HER2+ breast cancer. A combined evaluation of PD-L1 and PD-1 TIL in the prognosis of breast cancer might also be of value in treatment prediction.

Cumulative evidence has demonstrated the presence of cancer stem cells (CSC) in breast cancer and its putative role in cancer progression. Nonetheless, the clinical significance of CSC in breast cancer remains elusive. The underlying reasons could be due to the heterogeneity of breast cancer subtypes as well as different markers used to define breast CSC. In this study, three widely used markers (aldehyde dehydrogenase (ALDH)1+ and CD24-CD44+) were used to define two populations of CSC in a large cohort of breast cancers. The expressions of these markers were correlated with different clinicopathological features and the molecular subtypes. ALDH1+ breast cancers were associated with basal-like and HER2-overexpressing subtypes and the characteristics histologic features were related to these two subtypes. On the other hand, CD24-CD44+ breast cancers were associated positively with the presence of extensive in situ component, the absence of lymph node involvement, and basal markers, but negatively with HER2. CD24-CD44+ breast cancers were also positively associated with luminal B cancers. As the expression of CSC markers varied among different molecular subtypes and different clinicopathological features, it appeared that each CSC population could have distinct clinical values in different subgroups of breast cancers. For improved prognostication with CSC, combining the analysis of CSC markers would be required. Within the luminal cancers, CSC appeared to identify cancers with poor outcome. The presence of CSC populations was associated with ER-PR+ cancers and tumors expressing basal markers. Basal marker expression can complement with CSC for improved indicator for poor prognosis in luminal breast cancers. For the first time, the possible contribution of CSC to these aggressive luminal cancers was demonstrated. The association of basal features and CSC in luminal cancers also raised the possibility that luminal cancer cells may acquire basal phenotype and CSC properties together during their progression.

AR expression was different in ER+ and ER- cancers and had different clinical implications. AR alone may not be a good marker for MA subtype. Its expression in MA may have substantial prognostic implication and as such warrants further validation.