As precision medicine increases the response rate of treatment, tumors frequently bypass inhibition, and reoccur. In order for treatment to be effective long term, the mechanisms enabling treatment... Show moreAs precision medicine increases the response rate of treatment, tumors frequently bypass inhibition, and reoccur. In order for treatment to be effective long term, the mechanisms enabling treatment adaptation need to be understood. Here, we report a mouse model that, in the absence of p53 and the presence of oncogenic KrasG12D , develops breast tumors. Upon inactivation of KrasG12D , tumors initially regress and enter remission. Subsequently, the majority of tumors adapt to the withdrawal of KrasG12D expression and return. KrasG12D -independent tumor cells show a strong mesenchymal profile with active RAS-RAF-MEK-ERK (MAPK/ERK) signaling. Both KrasG12D -dependent and KrasG12D -independent tumors display a high level of genomic instability, and KrasG12D -independent tumors harbor numerous amplified genes that can activate the MAPK/ERK signaling pathway. Our study identifies both epithelial-mesenchymal transition (EMT) and active MAPK/ERK signaling in tumors that adapt to oncogenic KrasG12D withdrawal in a novel Trp53-/- breast cancer mouse model. To achieve long-lasting responses in the clinic to RAS-fueled cancer, treatment will need to focus in parallel on obstructing tumors from adapting to oncogene inhibition. Show less
Single-cell RNA sequencing (scRNA-seq) is a powerful approach for reconstructing cellular differentiation trajectories. However, inferring both the state and direction of differentiation is... Show moreSingle-cell RNA sequencing (scRNA-seq) is a powerful approach for reconstructing cellular differentiation trajectories. However, inferring both the state and direction of differentiation is challenging. Here, we demonstrate a simple, yet robust, determinant of developmental potential-the number of expressed genes per cell-and leverage this measure of transcriptional diversity to develop a computational framework (CytoTRACE) for predicting differentiation states from scRNA-seq data. When applied to diverse tissue types and organisms, CytoTRACE outperformed previous methods and nearly 19,000 annotated gene sets for resolving 52 experimentally determined developmental trajectories. Additionally, it facilitated the identification of quiescent stem cells and revealed genes that contribute to breast tumorigenesis. This study thus establishes a key RNA-based feature of developmental potential and a platform for delineation of cellular hierarchies. Show less
Sikandar, S.S.; Kuo, A.H.; Kalisky, T.; Cai, S.; Zabala, M.; Hsieh, R.W.; ... ; Clarke, M.F. 2017
