Abstract 140P
Background
Tumor-draining lymph nodes are a potent source of antitumor immunity. Upon tumoral invasion, however, progressive immune dysfunction may occur. Whether the composition of metastatic lymph nodes (mLN) can influence or even predict response to immunotherapy remains unclear. This question is especially relevant in advanced non-small cell lung cancer (NSCLC), where the primary tumor is often not accessible for sampling and mLN serve as a substitute to guide immune checkpoint blockade therapy (ICB). Profiling both compartments, we aim to contribute to a better understanding of the NSCLC tumor microenvironment and improve available predictive biomarkers for ICB response.
Methods
Tumor (N=15) and mLN (N=31) samples of 46 treatment-naive advanced NSCLC patients were subjected to single-cell RNA sequencing. For 26 patients, the molecular findings were correlated with durable response to anti-PD-1 backbone therapy.
Results
In this preliminary analysis, we compare the microenvironment of mLN and primary tumor. In total 281,707 cells were recovered for analysis. At major cell type level, mLN house significantly more B cells and monocytes. Plasma cells and macrophages are more abundant at the primary tumor site. Neutrophil abundance is comparable between compartments. For T cells, we see a trend towards enrichment in mLN, albeit not significant. At subtype level, CD4+ naive, follicular helper and regulatory T cells are enriched in mLN, whilst CD4+ T helper 1, CD8+ terminal effector memory and resident memory T cells are more abundant at the primary tumor site. The proportion of exhausted CD8+ T cells does not differ significantly between the two compartments. Predictive analysis is ongoing.
Conclusions
Despite tumoral invasion, the lymph node microenvironment of NSCLC remains more naive, reflective of its native priming function. Interestingly, however, exhausted T cells are not restricted to the primary tumor. How this influences response to ICB remains to be investigated.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
KU Leuven – VIB.
Funding
VIB - KU Leuven; Leerstoel MD Davidse beheer immunologie; FWO Vlaanderen; Stichting Tegen Kanker.
Disclosure
The author has declared no conflicts of interest.
Resources from the same session
133P - Neoadjuvant pembrolizumab plus lenvatinib in resectable stage III melanoma patients (pts) (NeoPele): Analysis of the peripheral immune profile correlated to pathological response
Presenter: Ines Pires da Silva
Session: Poster session 08
134P - Unraveling functionally distinct metabolic programs to predict immunotherapy response in non-small cell lung cancer (NSCLC)
Presenter: Arutha Kulasinghe
Session: Poster session 08
135P - Soluble PD-L1 (sPD-L1) as a predictive biomarker in patients with non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICIs) in the first-line setting
Presenter: Adrien Costantini
Session: Poster session 08
136P - Circulating hPG80 (WNT pathway activation) as a potential new prognostic/predictive factor of immunotherapy (ICI) efficacy: ONCOPRO prospective study
Presenter: Benoit You
Session: Poster session 08
137P - Long circulating-free DNA fragments predict early-progression (EP) and progression-free survival (PFS) in advanced carcinoma treated with immune-checkpoint inhibition (ICI): A new biomarker
Presenter: Sebastien Salas
Session: Poster session 08
138P - Toward predicting immune checkpoint blockade response in oesophageal squamous cell carcinoma: Integrating tumour and blood characteristics
Presenter: Amelie Franken
Session: Poster session 08
139P - Multimodal prognosis modeling of advanced NSCLC treated with first-line immunochemotherapy: Integrating genomic and microenvironmental data
Presenter: Yi Hu
Session: Poster session 08
141P - Circulating immune cells predict immunotherapy benefit in patients with triple negative breast cancer: Preliminary results from the IRIS study
Presenter: Benedetta Conte
Session: Poster session 08
142P - Exploring tumor mutational burden and frameshift mutations as predictors of immune checkpoint inhibitor efficacy
Presenter: Mai Hoshino
Session: Poster session 08