A Single-cell Approach to Identify Biomarkers of Pulmonary Toxicity for Immune Checkpoint Blockade

Universitaire Ziekenhuizen KU Leuven

Status

Enrolling

Conditions

Immunotherapy

Immune-related Adverse Events

Pneumonitis, Interstitial

Treatments

Drug: Immune checkpoint blockade

Drug: Targeted therapy

Radiation: Radiotherapy

Study type

Observational

Funder types

Other

Identifiers

NCT04807127

S63357

Details and patient eligibility

About

The main goal of this prospective non-interventional exploratory monocentric study is to characterize the immune cell composition of bronchoalveolar lavage (BAL) fluid from cancer patients experiencing cancer therapy-induced pneumonitis on a single-cell scale. These mechanistic insights can directly lead to putative diagnostic biomarkers and therapeutic targets.

A second highly clinically relevant hypothesis is that single-cell profiling of blood samples will reveal circulating biomarkers of ICB toxicity, making non-invasive diagnosis feasible.

Full description

The investigators will apply single cell RNA- and TCR-sequencing on up to 5,000 single cells per sample. Additionally, cell surface protein expression can be integrated with the transcriptional information. Various bioinformatics pipelines, including Seurat, will be used to identify different cell clusters, which through marker gene expression will be assigned to known cell types, cellular subtypes or phenotypes. For instance, this will make it possible to monitor the abundance of PD-1/PD-L1 expressing T-cells, cytotoxic T-cells, immune-suppressive myeloid cells etc. The following parameters at single-cell level will be relevant, amongst others:

The composition and relative abundancies of established immune cell types (e.g. T cells (CD4+, CD8+ and regulatory subsets), NK cells, B cells, MDSCs, macrophages, neutrophils, dendritic cells). Transcriptomic data for each of these immune cell subtypes will be analyzed, allowing characterization of specific gene expression programs that define specific phenotypic states.
Composition of all stromal cellular subtypes identified by single-cell transcriptomics.
A gene regulatory network for each cell type and cellular subtype (or cell state) will be established and master transcriptional regulators will be identified. Individual T-cells and T-cell subclusters will be classified based on interferon activation, high rates of proliferation and transcription and increased granzyme expression, which are all indicative of T-cell activation.

Blood samples will be subjected to similar single-cell experimental procedures. First, peripheral blood mononuclear cells (PBMC) are isolated using Ficoll density gradient centrifugation. Single-cell transcriptome analysis in combination with CITE-seq will be performed on 5000 PBMC. Cellular composition will be determined using the same bioinformatic pipelines as used for processing the BAL fluid cells.

Enrollment

60 estimated patients

Sex

All

Ages

18 to 120 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

Adult M/F/X (>= 18 years)
Patients receiving or having received treatment per guidelines
Patients undergoing bronchoscopy with BAL, for possible cancer treatment-induced pneumonitis
Not included in other clinical trials
Signed informed consent form

Exclusion criteria

• Collected material not suitable for further processing in this study (e.g. bad quality). This decision will be made in consultation with a lab technician and/or bio-informatician, specialized in single-cell analysis.