P. Andrew Futreal

This study examines how chemotherapy affects clonal diversity and mutation patterns in hematopoietic stem cells, finding that melphalan increases mutational burden and promotes clonal aging, potentially leading to therapy-related myeloid neoplasms.

This study investigates how oncogenic mutations in gliomas influence the tumor microenvironment through integrative multiomic and spatial transcriptomic analysis of glioma samples.

This study examines how allogeneic stem cell transplant affects subclonal evolution in chronic lymphocytic leukemia, identifying cellular homogeneity as a biomarker for immune response.

The paper introduces ICeITH, a Bayesian model to assess intratumor heterogeneity of tumor-infiltrating leukocytes using multi-region gene expression data, showing improved accuracy over existing methods.

This paper introduces a graph-based model to identify druggable vulnerabilities in solid cancers, finding 43 novel targets by leveraging cooperativity in molecular networks.

This study identifies distinct microbial subtypes in adenoid cystic carcinomas and links them to patient outcomes and tumor biology.

The paper uses genomic profiling to show that some invasive breast cancers are clonally unrelated to their preceding DCIS, suggesting DCIS may act as both a precursor and independent risk factor.

This study finds that clonal hematopoiesis mutations, particularly in DNMT3A, TET2, and ASXL1, are linked to increased toxicity in patients undergoing anti-CD19 CAR T-cell therapy for large B-cell lymphoma.

The paper investigates how anti-cancer immunity evolves from preneoplasia to invasive lung adenocarcinomas, identifying changes in immune response and molecular features that may facilitate immune evasion.

This study examines DNA methylation changes and intra-tumor heterogeneity in lung adenocarcinoma progression, finding increased methylation aberrations and immunosuppression in later-stage lesions.

This study shows that transcriptomic features, not genomic characteristics, drive the histologic phenotype of lung cancers.

The paper quantifies tumor-specific total mRNA expression from bulk data and shows its association with clinical outcomes across 15 cancer types.

This study examines genomic and TCR repertoire heterogeneity in SCLC, finding that lower TCR heterogeneity and mutational burden correlate with better survival.

The paper develops a network-based approach to identify predictive biomarkers and therapeutic combinations for anti-PD-1 immunotherapy, finding genes and pathways associated with response and validating them through CRISPR and drug target data.

The paper examines how somatic structural variations affect TAD boundaries and gene regulation in human cancers using whole genome sequencing data.

The paper examines how somatic mutation distributions vary across chromatin folding domains in cancer genomes, revealing distinct patterns associated with different mutational processes.

This study develops a microfluidic method for single-cell DNA sequencing of AML tumors, revealing clonal evolution not detectable by bulk sequencing.