Fig. 1: Recurrent SF3B1 Mutations in prolactinomas.
a The mutational landscape of 21 prolactinomas. Samples are displayed in columns from left to right. Each row represents a gene. The rates of synonymous and non-synonymous mutations are expressed in the number of mutations per megabase (Mb) and are displayed in the top panel. The somatic mutation frequencies for each candidate gene are plotted on the right panel. Mutations that were not validated through Sanger sequencing and time of flight mass spectrometer (TOF), because of an unsuccessful amplification or lack of remaining tissues, are represented by a white slash. Mutation types are color-coded as indicated above the image. All candidate genes are considered capable of expression with FPKM of over 1 in >20% of all RNA samples. b, c Detection of SF3B1R625H mutations in the prolactinoma tumor samples. The top chart shows the fractional abundance of variants on microfluidic-chamber-based digital PCR analysis in prolactinoma tissue samples. The samples are shown according to the order of highest to lowest frequency, b the section 1 included 172 patients from Beijing Tiantan Hospital affiliated to Capital Medical University, c the section 2 included 27 patients from Sanbo Brain Hospital and section 3 included 28 patients from the First Affiliated Hospital of University of Science and Technology of China. At the bottom of the chart shows the details of the sample, including the detection method, the sample type, the presence or absence of a paired blood sample, SF3B1R625H mutation detected, the Knosp classification, gender and group. Source data are provided as a Source Data file.
