Publication: Quantitative proteomics identify Tenascin-C as a promoter of lung cancer progression & contributor to a signature prognostic of patient survival.

Our paper in collaboration with the Jacks lab is out! In this study, we used label-based quantitative proteomics to profile the ECM composition of normal lung, fibrotic lung, primary lung tumors, and lung metastases to the lymph nodes and uncovered specific ECM signatures distinguishing these tissues. CRISPR/Cas9-mediated gene activation of one of the identified factors, Tenascin-C (Tnc), showed that this protein plays a role in mediating lung adenocarcinoma metastasis. Bioinformatic analysis shows that expression of three matrisome factors (TNC, S100A10, and S100A11) can predict survival inpatients with lung adenocarcinoma. These factors could serve as disease markers that could be exploited for better diagnosis of lung cancer, and their future study could be used to inform the design of more potent treatments for patients. You can read the full article here.