Immunohistochemistry was performed on formalin-fixed, paraffin-embedded tumour tissue using antibodies against human Ki67(Cell Signaling #9027, 1:400 dilution), anti-human mitochondria (Abcam ab92824, 1:1000 dilution) and against endogenous NUT protein (Cell Signaling #3625, 1:50 dilution) used to detect NUT fusion proteins [7 (link), 10 (link)]. Digital images of whole tissue sections were acquired using a Leica SCN400 histology scanner (Leica Microsystems). Ki67-positive index was evaluated using Halo Software V. 3.2 (Indica lab). Regions of interest (ROIs) within the tissue sections were first identified using Halo Software via machine learning technology across pathological samples and tissue control, within these ROIs, nuclei were detected and classified as positive or negative based on IHC staining thresholds.
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