Walid Khaled Chatila

The paper identifies SMARCA4/STK11/KEAP1 triple mutant lung adenocarcinoma as a poor prognosis subset and links it to TGF-β pathway activation.

The paper identifies MDF, a repair scar linked to POLQ-driven error-prone repair, as a marker of immune-responsive HRD pancreatic cancer with increased neoantigens and favorable clinical outcomes.

The paper develops Mosaic, a machine learning system that classifies tumors into detailed subtypes and identifies molecular phenotypes using histopathologic and genomic data from a large patient cohort.

The paper develops patient-derived organoids and mouse models of appendiceal cancer to identify phenotypic changes and drug targets in peritoneal metastasis.

The paper shows that mtDNA mutations in tumors are shaped by OXPHOS complexes, with specific mutational patterns in Complex I and V, and links these to improved survival in colorectal cancer.