C. Yau

Tumor microenvironmental determinants of high-risk DCIS progression

This study identifies immune microenvironment features and myoepithelial continuity as key determinants of progression in high-risk DCIS.

S100A8/A9 predicts triple-negative breast cancer response to PIM kinase and PD-1/PD-L1 inhibition

Computational drug repositioning for the identification of new agents to sensitize drug-resistant breast tumors across treatments and receptor subtypes

This study uses computational drug repositioning to identify agents that can sensitize drug-resistant breast tumors, finding fulvestrant effective across multiple treatment and receptor subtypes.

Differential Analysis of Stromal-Epithelial Interactions between In Situ and Invasive Breast Cancer using Gene Expression Profiling

This study identifies changes in stromal-epithelial interactions between in situ and invasive breast cancer using gene expression profiling, finding significant ligand-receptor pairs associated with prognosis.

Patient derived organoids reveal that PI3K/AKT signaling is an escape pathway for radioresistance and a target for therapy in rectal cancer.

The paper identifies PI3K/AKT/mTOR pathway upregulation as a mechanism of radioresistance in rectal cancer and shows that dual PI3K/mTOR inhibitors radiosensitize cancer cells in organoid models.

Combinatorial immunotherapies overcome MYC-driven immune evasion

This study shows that MYC-driven immune evasion in TNBC can be reversed by combining immunotherapies, leading to tumor regression in mice.

IL-7 is essential for accumulation of antigen-specific CD8 T cells and to generate clonotype-specific effector responses during airway influenza/A infection.

A Single Dose of Self-Transcribing and Replicating RNA Based SARS-CoV-2 Vaccine Produces Protective Adaptive Immunity In Mice

A single dose of the STARR-based SARS-CoV-2 vaccine LUNAR-COV19 induces protective adaptive immunity in mice, including strong antibody and CD8+ T cell responses, and full protection against viral challenge.

Pan-cancer detection of driver genes at the single-patient resolution

This paper introduces sysSVM2, a machine learning tool to predict driver genes in individual cancer patients, showing it has low false positives and identifies known cancer pathways.

The repertoire of serous ovarian cancer non-genetic heterogeneity revealed by single-cell sequencing of normal fallopian tube epithelial cells

The paper uses single-cell sequencing to identify non-genetic heterogeneity in serous ovarian cancer by analyzing normal fallopian tube epithelial cells and their subtype signatures.

Patient-specific detection of cancer genes reveals recurrently perturbed processes in esophageal adenocarcinoma

This study identifies patient-specific cancer genes in esophageal adenocarcinoma using machine learning, revealing recurrent process perturbations that suggest therapeutic targets.