Short and sweet - in this paper already published and available RNA-seq data is mined to compare differential gene expressions between primary breast cancer tumours and central nervous system metastases, in an effort to establish a link between this common occurrence. Differential CHCHD4 expression was identified and found to be statistically significant. Although CHCHD4 expression in brain metastases is significantly increased, there is no correlation with patient outcomes. The datasets used have small n numbers, but appropriate statistical analysis is conducted and all working shown. Charts not formatted, but this could be due to user download error, but it would've been nice to see some more graphs/figures regarding gene expression. This research justifies the use of murine models to further explore these findings in the context of breast cancer treatment and prevention of secondary tumour growth in the CNS. This paper is a great example of a seemingly small and simple project, with much larger implications. All working is shown and the story is clearly told with focus.
really enjoyed this paper. open source data and preregistered study. good explanation throughout of choices. “identified as women” and good breakdown of “genders” in the table. good note re indigenous participants. clear explanation of findings and potential disparities (e.g. not summing up 100%). clear ethics statement. why not include non-binary demographics in study 2? good descriptive statistics, easy to follow analysis intro and discussion well written - would be easy for non-academic to follow limitations the authors touched on as well - top 100 videos may not represent actual experience of individual users
