Immunogenomic Landscape of Hematological Malignancies

(Cancer Cell 38, 380–399.e1–e13; September 14, 2020) We report the immunogenomic landscape of >10,000 hematological malignancies by integrating large-scale genomic, epigenomic, and transcriptomic datasets in this article. During its preparation, we submitted an incorrect version of Figure 1A, in which the numbers of the cases in the Hemap dataset were incorrect (1,288 and 4,293 lymphoma and leukemia samples, respectively; the correct numbers are 1,300 and 4,281). Similarly, in Figure S1A, the number of cell lines in CCLE dataset was incorrect (CHL n = 9 changed to n = 8, and unknown n = 7 is now included). The number of cases reported in the first paragraph of the Results section has also been corrected to reflect these revisions (“We used 7,092 samples from 36 hematological malignancies, with 770 healthy donor hematological cell populations and 610 cell lines as controls [Pölönen et al., 2019], to comprehensively analyze immunological properties in hematological cancer transcriptomes [Figures 1A and S1A; Table S1]”). These errors do not affect any of the data or conclusions in the article, and the figures have been revised in the online and printed versions of the paper, which differ from the version originally published online on July 9, 2020. We apologize for any confusion these errors may have caused.Figure 1. Identification of Cytotoxic Lymphocyte Infiltration in Hematological Malignancies (original)View Large Image Figure ViewerDownload Hi-res image Download (PPT)Figure S1. Schematic of samples included in the study and assessment of cytotoxic lymphocyte infiltration in hematological malignancies using gene expression data. Related to Figure 1. (corrected)View Large Image Figure ViewerDownload Hi-res image Download (PPT)Figure S1. Schematic of samples included in the study and assessment of cytotoxic lymphocyte infiltration in hematological malignancies using gene expression data. Related to Figure 1. (original)View Large Image Figure ViewerDownload Hi-res image Download (PPT) Immunogenomic Landscape of Hematological MalignanciesDufva et al.Cancer CellJuly 9, 2020In BriefDufva et al. define the immune landscape of hematological malignancies by integrating genomic, epigenomic, and transcriptomic data and describe how this influences immune cell infiltration, antigen presentation, anti-tumor immune responses, and patient outcomes. Full-Text PDF