Abstract 80: Quantitative assessment of tumor-infiltrating lymphocytes using AI in non-small cell lung cancer and association with immunotherapy response.

Abstract Tumor-infiltrating lymphocytes (TILs) have been associated with treatment outcomes in non-small cell lung cancer (NSCLC), but challenges in visual and digital assessment have limited their clinical use. In this study, we used a quantitative AI-based approach on digitized H P 0.0001). No significance was found when assessing iTIL in this manner. In the non-neoadjuvant training set, higher iTIL scores were linked to longer PFS with an optimal cutoff point of 0.28%, dividing patients into equal groups (HR = 0.36). The neoadjuvant cohort showed significance (HR = 0.28; P = 0.0045). Higher sTIL scores were also associated with improved PFS in the non-neoadjuvant training cohort using the same 2.4% cutoff point, splitting patients into 70% high and 30% low groups (HR = 0.21). The neoadjuvant validation set showed significance (HR = 0.34; P = 0.0066). Although higher iTIL and sTIL values showed consistent trends for overall survival (OS) in the training sets, these associations did not reach statistical significance. Quantitative assessment of tumor-infiltrating lymphocytes (TILs) may provide an objective biomarker for immunotherapy response in NSCLC, particularly for intratumoral TILs (iTIL), which are not assessable by pathologists. Future work is planned to include additional analyses of neoadjuvant and prospective NSCLC cohorts to further validate associations between TIL assessment and clinical outcomes. Citation Format: Mona Tuysserkani, Siraj Ali, Yoojoo Lim, Ken Nesmith, Sanghoon Song, Sanja Dacic, David Rimm. Quantitative assessment of tumor-infiltrating lymphocytes using AI in non-small cell lung cancer and association with immunotherapy response abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 80.