Artificial intelligence‐powered spatial analysis of tumor‐infiltrating lymphocytes as a predictive biomarker for axitinib in adenoid cystic carcinoma.

Background: This study analyzed the predictive value of artificial intelligence (AI)‐powered tumor‐infiltrating lymphocyte (TIL) analysis in recurrent or metastatic (R/M) adenoid cystic carcinoma (ACC) treated with axitinib. Methods: Patients from a multicenter, prospective phase II trial evaluating axitinib efficacy in R/M ACC were included in this study. H&E whole‐side images of archival tumor tissues were analyzed by Lunit SCOPE IO, an AI‐powered spatial TIL analyzer. Results: Twenty‐seven patients were included in the analysis. The best response was stable disease, and the median progression‐free survival (PFS) was 11.1 months (95% CI, 9.2–13.7 months). Median TIL densities in the cancer and surrounding stroma were 25.8/mm2 (IQR, 8.3–73.0) and 180.4/mm2 (IQR, 69.6–342.8), respectively. Patients with stromal TIL density >342.5/mm2 exhibited longer PFS (p = 0.012). Conclusions: Cancer and stromal area TIL infiltration were generally low in R/M ACC. Higher stromal TIL infiltration was associated with a longer PFS with axitinib treatment. [ABSTRACT FROM AUTHOR]