Lunit (South Korea)

The authors built MutationProjector, a graph-attention cancer-genome foundation model integrating eight molecular network types, pretrained by masked gene reconstruction on genetic alterations from 30,328 tumors across 10 solid cancer types, then transfer-learned with a random forest on small labeled cohorts; it stratified survival in immunotherapy response prediction with hazard ratios of 0.71 for bladder, 0.74 for lung and 0.59 for melanoma, reached HR = 0.43 in a cisplatin-treated bladder cohort, and proposed KMT2D and SMARCA4-STK11 as candidate biomarkers via attention analysis.

The authors built MutationProjector, a graph-attention cancer-genome foundation model integrating eight molecular network types, pretrained by masked gene reconstruction on genetic alterations from 30,328 tumors across 10 solid cancer types, then transfer-learned with a random forest on small labeled cohorts; it stratified survival in immunotherapy response prediction with hazard ratios of 0.71 for bladder, 0.74 for lung and 0.59 for melanoma, reached HR = 0.43 in a cisplatin-treated bladder cohort, and proposed KMT2D and SMARCA4-STK11 as candidate biomarkers via attention analysis.