1,721,245 research outputs found
Genomic profiling of early-onset and hereditary breast cancer.
No full text 30 Background: Worldwide, breast cancer is the most common cancer in women. Susceptibility is thought to be polygenic and the risk tends to increase in women with positive family history of breast cancer. Methods: We proposed an ambitious Middle Eastern-based study that entailed exome sequencing of approximately 50 women from the Middle East (M.E) with moderate family history of any cancer. DNA from tumor samples with matching lymphocytes from the same subjects and 50 normal Middle Eastern women without history of familial or sporadic cancers in the family, were subjected to whole-exome sequencing on the HiSeq 1000/2000 Illumina platforms to map major breast cancer–activating genetic defects. Results: Several unique to the M.E region and novel germline mutations in non-BRCA1/2 genes were identified in this cohort. Germline mutations in TP-53, BARD1 and mismatch repair genes were more frequent than expected by chance. More importantly, the breast cancers showed interesting copy number and mutations variants that may aid our understanding of breast cancer initiations. Conclusions: The M.E. breat cancer may be caused by a unique set of germline variants and that the M.E breast cancers may represent an entity that may aid in our understanding of this common disease. </jats:p
GSK3β: The interaction of two intracellular signaling network regulators and their role in cancer
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Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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