KMT2D and neoplasm: Using the mutation pattern of cfDNA in the prediction of mutations in tumor DNA, the sensitivity was the highest in FAT4 (88.9%), followed by MACF1 (80%), CDH1 (75%), PLB1 (75%), KMT2D (72.7%), LRP1B (71.4%), KMT2C (40%), ARID1A (25%), and TP53 (13.6%).