Breast cancer (BC) is a leading cause of cancer-related mortality in females and is recognized as a molecularly heterogeneous disease. Previous studies have suggested that alternative messenger RNA (mRNA) processing, particularly alternative polyadenylation [poly(A)] (APA), can be a powerful molecular biomarker with prognostic potential. Therefore, in the present study, we profiled APA sites in the luminal B subtype of BC by sequencing APA sites (SAPAS) method, in order to assess the relation of these APA site-switching events to the recognized molecular subtypes of BC, and to discover novel candidate genes and pathways in BC. Through comprehensive analysis, the trend of APA site-switching events in the 3' untranslated regions (3'UTRs) in the luminal B subtype of BC were found to be the same as that in MCF7 cell lines. Among the genes involved in the events, a significantly greater number of genes was found with shortened 3'UTRs in the samples, which were samples of primary cancer with relatively low proliferation. These findings may provide novel information for the clinical diagnosis and prognosis on a molecular level. Several potential biomarkers with significantly differential tandem 3'UTRs and expression were found and validated. The related biological progresses and pathways involved were partly confirmed by other studies. In conclusion, this study provides new insight into the diagnosis and prognosis of BC from the APA site profile aspect.
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JoVE Visualize is a tool created to match the last 5 years of PubMed publications to methods in JoVE's video library.
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We use abstracts found on PubMed and match them to JoVE videos to create a list of 10 to 30 related methods videos.
Video X seems to be unrelated to Abstract Y...
In developing our video relationships, we compare around 5 million PubMed articles to our library of over 4,500 methods videos. In some cases the language used in the PubMed abstracts makes matching that content to a JoVE video difficult. In other cases, there happens not to be any content in our video library that is relevant to the topic of a given abstract. In these cases, our algorithms are trying their best to display videos with relevant content, which can sometimes result in matched videos with only a slight relation.