Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
Zhang and colleagues analyzed patients with lung cancer treated with anti-PD-1 with single-cell methods, finding the presence of precursor exhausted T cells in responders that accumulated through local expansion and clonal revival from peripheral T cells.
Lehtiö and colleagues perform proteogenomic analysis of non-small cell lung cancer and identify molecular subtypes with distinct immune-evasion mechanisms and therapeutic targets and validate their classification method in separate clinical cohorts.
Robbins and colleagues develop and test a machine learning neoantigen ranking model using experimentally validated neoantigens from human tumors, providing a resource of targetable neoantigens for future immunotherapies.