A. C. Tan

The tumor microbiome reacts to hypoxia and can influence response to radiation treatment in colorectal cancer

The paper examines how hypoxia affects the tumor microbiome and its interaction with radiation response in colorectal cancer using RNA-seq data and experimental models.

Dearth of smoking-induced mutations in NSRO-driven non-small-cell lung cancer despite smoking exposure

The paper examines genomic and transcriptomic changes in NSRO-driven NSCLCs in smokers and non-smokers, finding no smoking-induced mutations but higher transcriptomic cell cycle activity in smokers.

The tumor microbiome as a predictor of outcomes in patients with metastatic melanoma treated with immune checkpoint inhibitors

This study identifies microbes associated with immunotherapy response in metastatic melanoma and shows that combining microbe abundances with gene expression improves survival prediction.

The translational role of SOS1 in colorectal cancer

This paper investigates the role of SOS1 in colorectal cancer using patient-derived organoids and identifies SOS1 protein expression as a predictive marker for response to SOS1 inhibitors.

Crowdsourced identification of multi-target kinase inhibitors for RET- and TAU- based disease: the Multi-Targeting Drug DREAM Challenge

The paper reports on a DREAM Challenge to predict multi-target kinase inhibitors for RET-based tumors and Tauopathy, using neural network-based machine learning approaches.

Spontaneous Cell Fusions as a Mechanism of Parasexual Recombination in Tumor Cell Populations

This study investigates spontaneous cell fusions in tumor cell populations as a mechanism of parasexual recombination, finding evidence of low-frequency fusions and their role in increasing clonal heterogeneity.

Resistance to targeted therapies as a multifactorial, gradual adaptation to inhibitor specific selective pressures

The paper investigates resistance to ALK inhibitors in NSCLC, finding that resistance develops through gradual, multifactorial genetic and epigenetic changes rather than single mutations or reprogramming.