Giovanni Ciriello

Fields |

Research directions

Lung cancer spatial evolution

It is increasingly appreciated that several tumors progress and develop therapeutic resistance through non-genetic mechanisms. Cancer cells can indeed overcome challenges imposed by the tumor microenvironment (TME) and/or treatment through epigenetic and transcriptional reprogramming of their identity. In our lab we use cutting-edge spatial transcriptomics and single-cell technologies to study dynamic cancer cell adaptation in human tumor tissues. Through the analysis of data generated with these approaches we want to determine 1) heterogeneous cancer cell states within individual tumors, 2) transitions among distinct cancer cell states, 3) biomarkers of more aggressive and/or “plastic” states, and 4) tumor-TME interactions that modulate state emergence and transitions. Projects in the lab will encompass collection of tumor samples, data generation, and data analysis with a focus on lung adenocarcinoma (

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