Abstract 138P
Background
Immune checkpoint blockade (ICB) holds promise for improving survival rates in oesophageal squamous cell carcinoma (ESCC). However, the lack of robust predictive biomarkers limits clinical outcome optimization. We hypothesized that analysing the spatial organization of tumours can offer insights into ICB response, potentially guiding the identification of reliable non-invasive predictive biomarkers in peripheral blood samples.
Methods
In the RAMONA trial (NCT03416244), tumour sections and peripheral blood samples were collected from 21 ESCC patients before their second-line treatment, either with nivolumab (anti-PD-1) alone or combined with ipilimumab (anti-CTLA4). Tumour sections were stained with the PhenoCycler platform using a 40-plex immunofluorescence panel to examine spatial tumour-immune interactions associated with clinical outcomes, including progression-free survival (PFS) and best overall response by RECIST version 1.1. Peripheral blood mononuclear cells (PBMCs) were isolated and profiled by 10x single-cell RNA-sequencing to compare cellular (sub)types between ICB responders and non-responders.
Results
Patients with prolonged PFS upon ICB (>8 months, n=3) exhibited more intratumoural aggregates of CD3+ T cells (including CD4+ and CD8+ populations), CD79a+ CD38+ B cells, and CD31/CD34+ endothelial cells, compared to patients with shorter PFS (<4 months, n=6; p<0.05). Conversely, tumours from the latter group showed more aggregates of MPO+ neutrophils, in close vicinity to CD4+ FOXP3+ regulatory T cells (p<0.05). These findings were consistent in pre-treatment peripheral blood samples. Specifically, T cells were more abundant in blood samples from patients who experienced prolonged PFS (n=6; p<0.05), while a higher abundance of myeloid cells was associated with shorter PFS (n=9; p<0.05). T cell subclustering revealed that predominantly effector CD8+ T cells and naïve CD4+ T cells correlated with prolonged PFS.
Conclusions
Our study suggests that integrating analyses of both tumour and peripheral blood characteristics can facilitate the discovery of robust non-invasive biomarkers for predicting ICB response.
Clinical trial identification
NCT03416244 (study completion: 2021-11-19).
Editorial acknowledgement
Legal entity responsible for the study
M. Ebert and D. Lambrechts.
Funding
Bristol Myers Squibb.
Disclosure
All authors have 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
139P - Multimodal prognosis modeling of advanced NSCLC treated with first-line immunochemotherapy: Integrating genomic and microenvironmental data
Presenter: Yi Hu
Session: Poster session 08
140P - Mining metastatic lymph nodes for response to immune checkpoint therapy in non-small cell lung cancer
Presenter: Elena Donders
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