Abstract 26P
Background
MMRd status is a robust predictive biomarker for ICI in EC, however half of these pts do not respond. Most studies exploring biomarkers of response to ICI have focused on tumor or immune cell factors. We deployed a mass spectrometry-based unbiased quantitative proteomics profiling workflow to investigate the tumor microenvironment (TME) in ICI-Responder (R) versus Non-Responder (NR) MMRd EC patients to identify new predictive biomarkers of response.
Methods
Clinical data and outcomes of metastatic MMRd EC pts, treated with ICI at Gustave Roussy Institute (2016-2021), were retrospectively collected. Patients were classified as Rs (CR, PR, or SD ≥12 months) or NRs (PD or SD <12 months). Pre-ICI FFPE tumor samples were subjected to Biognosys UltraDeep TrueDiscovery™ Mass Spectrometry (MS) for the identification of differentially regulated protein expression between R and NR.
Results
Unbiased quantitative mass spectrometry approach quantified in total 11187 proteins across 25 patient FFPE samples (17 responders and 8 non-responders). Given the limited statistical power due to the cohort size, the data were explored with both data-driven and hypothesis-driven methods. Eight biological hypotheses for treatment resistance in MMRd endometrial cancer were evaluated using the unbiased proteomics data while three key mediators of resistance are supported by measured protein expression profiles: 1) significantly increased abundance of collagens in non-responders indicate hindered immune cell infiltration: 2) local, acute inflammation based on the accumulation of CRP in the tumor microenvironment; 3) increased TGF-beta expression with associated immunosuppressive effect. To further validate these three observations, orthogonal experimental methods will be employed.
Conclusions
Unbiased proteomics data from FFPE tissue samples could confirm several TME-related hypotheses for ICI resistance in MMRd endometrial cancer patients. Further mechanistic studies are being performed to assess the actionability of these findings. In addition, an independent patient cohort will be involved as a follow-up validation study.
Editorial acknowledgement
Clinical trial identification
Legal entity responsible for the study
Institute Gustave Roussy.
Funding
Comprehensive Program of Cancer Immunotherapy & Immunology I (CAIMI-I) supported by the BBVA Foundation (grant 89/2017) - Program Parrainage pour la Recherche contre les Cancers Gynécologiques-IGR.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
121P - DNA methylation co-operates with genomic alterations during non-small cell lung cancer evolution
Presenter: Nnenna Kanu
Session: Cocktail & Poster Display session
Resources:
Abstract
122P - Comprehensive multi-omics profiling identifies prognostic and predictive subtypes in renal cell carcinoma
Presenter: Sanha Park
Session: Cocktail & Poster Display session
Resources:
Abstract
123P - Copy number from ulcWGS to predict TNBC molecular subtypes in the IBCSG 22-00 trial
Presenter: Andrea Joaquin Garcia
Session: Cocktail & Poster Display session
Resources:
Abstract
124P - Targeting neoantigens in chronic lymphocytic leukemia (CLL) for personalized T cell therapy
Presenter: Gurvinder Kaur
Session: Cocktail & Poster Display session
Resources:
Abstract
125P - Detection and analysis of medulloblastoma subtype-specific copy number variations from RNA-seq data for improved risk-based subtype classification
Presenter: Ivan Martinez de Estibariz Royuela
Session: Cocktail & Poster Display session
Resources:
Abstract
126P - Genomic and transcriptomic profiles define smokers and non-smokers lung squamous cell carcinoma patients
Presenter: Matteo Canale
Session: Cocktail & Poster Display session
Resources:
Abstract
128P - Metastatic migrations in lung cancer: Insights from the PEACE autopsy programme
Presenter: Sonya Hessey
Session: Cocktail & Poster Display session
Resources:
Abstract
129P - NGS prescreening program for refractory solid tumors outside standard indications in a public network of cancer centers
Presenter: Paula Sàbat Viltró
Session: Cocktail & Poster Display session
Resources:
Abstract
130P - Transcriptomic analysis of patients with metastatic hormone-sensitive prostate cancer to identify genomic signatures involved in the transition from androgen-dependent to androgen-independent phenotype
Presenter: Giovanna Pecoraro
Session: Cocktail & Poster Display session
Resources:
Abstract
131P - Benchmarking whole exome sequencing in the German network for personalized medicine
Presenter: Michael Menzel
Session: Cocktail & Poster Display session
Resources:
Abstract