Christina N. Curtis

The paper identifies a novel cancer susceptibility mutation in hfBCC patients by analyzing skin mutagenesis and its association with BCC and prostate cancer.

The paper creates a spatial atlas of early-stage colorectal cancer tumors to identify bacterial niches and their impact on tumor transcriptomes, highlighting C. difficile's significant influence despite low abundance.

This study shows that ZFP281 expression delays breast cancer initiation and prevents metastasis by enforcing a dormant state in cancer cells.

PATH-IC uses generative AI to predict breast cancer genomic subtypes from histology images, achieving high accuracy and correlating with clinical outcomes.

ecDNAInspector identifies high-confidence ecDNA structures from WGS data, linking them to clinical and molecular features in breast cancer.

This study shows that many premalignant colorectal polyps contain multiple genetic lineages, indicating polyclonal origins rather than single-cell expansion.

This study identifies type I interferon signaling as a tumor-intrinsic suppressor of proliferation in 3D breast cancer spheroids through RIG-I-mediated sensing of cytosolic RNA.

The paper uses spatial imaging and computational analysis to identify features in metastatic tumors that predict response to immune checkpoint inhibition in TNBC patients.

The paper uses spatial CODEX experiments to show early colorectal cancer microenvironment changes in FAP, including CAFs, immune suppression, and beta-catenin nuclear translocation.

This paper identifies transcription-replication conflict as a vulnerability in ecDNA-containing cancers and demonstrates that CHK1 inhibition selectively kills these tumors.

This study shows that early colorectal cancer loses promoter-enhancer connectivity, leading to gene expression changes and a two-phase model of transcriptional regulation.

The paper introduces PhyloVelo, a method that uses monotonically expressed genes to reconstruct cell fate transitions, outperforming existing approaches in embryo development and tumor evolution analysis.

The paper uses single-cell data to show a continuum of cell state and composition changes from polyps to colorectal cancer, identifying stem-like cells and regulatory markers.

The paper presents a large-scale cancer pharmacogenomic screen with 11,576 experiments on 910 drug combinations across 85 cancer cell lines, enabling crowd-sourced prediction of synergistic drug pairs and biomarkers.

This study characterizes genomic, transcriptomic, and epigenomic artifacts in FFPE tissues and provides best practices to mitigate their impact on molecular analysis.