Chemokine expression predicts T cell-inflammation and improved survival with checkpoint inhibition across solid cancers

Autor: George Zogopoulos, Joan Miguel Romero, Emma Titmuss, Yifan Wang, James Vafiadis, Alain Pacis, Gun Ho Jang, Amy Zhang, Bryn Golesworthy, Tatiana Lenko, Laura Williamson, Barbara Grünwald, Grainne O'Kane, Steven Jones, Marco Marra, Julie Wilson, Steven Gallinger, Janessa Laskin
Rok vydání: 2023
Popis: Immune checkpoint inhibitors (ICI) are highly effective in specific cancers where canonical markers of antitumor immunity are used for patient selection. Novel predictors of T cell-inflammation are needed to identify ICI-responsive tumor subsets in additional cancer types. We investigated associations of a 4-chemokine expression signature (c-Score: CCL4, CCL5, CXCL9, CXCL10) with metrics of antitumor immunity across tumor types. Across cancer entities from The Cancer Genome Atlas, subgroups of tumors displayed high expression of the c-Score (c-Scorehi) with increased transcriptional hallmarks of the cancer-immunity cycle, while high tumor mutation burden (TMB) was associated with only a subset of c-Scorehi tumors. Among 82 patients treated with ICIs, the c-Scorehi subgroup exhibited longer median time to progression (103 versus 72 days, P=0.012) and overall survival (382 versus 196 days, P=0.038), and the c-Score outperformed TMB for overall survival prediction. Taken together, the c-Score identifies patients with hallmarks of T cell-inflammation and response to ICI treatment across cancer types.
Databáze: OpenAIRE