Prognostic Impact of the Immune-Cell Infiltrate in N1-Positive Non-Small-Cell Lung Cancer.

The tumoral immune milieu plays a crucial role for the development of non-small-cell lung cancer (NSCLC) and may influence individual prognosis. We analyzed the predictive role of immune cell infiltrates after curative lung cancer surgery. The tumoral immune-cell infiltrate from 174 patients with pN1 NSCLC and adjuvant chemotherapy was characterized using immunofluorescence staining. The density and distribution of specific immune cells in tumor center (TU), invasive front (IF) and normal tissue (NORM) were correlated with clinical parameters and survival data. Tumor specific survival (TSS) of all patients was 69.9% at 5 years. The density of tumor infiltrating lymphocytes (TIL) was higher in TU and IF than in NORM. High TIL density in TU (low vs. high: 62.0% vs. 86.7%; p = .011) and the presence of cytotoxic T-Lymphocytes (CTLs) in TU and IF were associated with improved TSS (positive vs. negative: 90.6% vs. 64.7% p = .024). High TIL-density correlated with programmed death-ligand 1 expression levels ≥50% (p < .001). Multivariate analysis identified accumulation of TIL (p = .016) and low Treg density (p = .003) in TU as negative prognostic predictors in squamous cell carcinoma (p = .025), whereas M1-like tumor- associated macrophages (p = .019) and high programmed death-ligand 1 status (p = .038) were associated with better survival in adenocarcinoma. The assessment of specific intratumoral immune cells may serve as a prognostic predictor in pN1 NSCLC. However differences were observed related to adenocarcinoma or squamous cell carcinoma histology. Prospective assessment of the immune-cell infiltrate and further clarification of its prognostic relevance could assist patient selection for upcoming perioperative immunotherapies.

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Disclosure Thomas Muley has received grants/contracts from Roche Diagnostics and Oncohost outside the submitted work. Petros Christopoulos has received research funding from AstraZeneca, Amgen, Boehringer Ingelheim, Novartis, Roche, and Takeda, speaker's honoraria from AstraZeneca, Janssen, Novartis, Roche, Pfizer, Thermo Fisher, Takeda, support for attending meetings from AstraZeneca, Eli Lilly, Daiichi Sankyo, Gilead, Novartis, Pfizer, Takeda, and personal fees for participating to advisory boards from Boehringer Ingelheim, Chugai, Pfizer, Novartis, MSD, Takeda and Roche, all outside the submitted work. Hauke Winter has received received payment (lectures, presentations, speaker fee, manuscript writing, educational events) from MSD, AstraZeneca, Intuitive, Medtronic, Roche; expert testimony from Intuitive; support for attending meetings/travel from Roche, Intuitive, MSD and participation on Data Safety Monitoring/Advisory Board for AstraZeneca and Intuitive; all outside the submitted work. Florian Eichhorn, Andreas Weigert, Rajender Nandigama, Laura Klotz, Jochen Wilhelm, Mark Kriegsmann, Michael Allgäuer, Rajkumar Savai and Martin Eichhorn declare that they have no known conflict of interest or personal relationships that could have appeared to influence the work reported in this paper.