Project: Understanding tumour-immune interactions and cancer immunotherapy responses from differential immune selection pressures in the cancer genome
2022-11-01 – 2023-10-31
- Abstract
The human immune system has a key role in preventing tumour formation. This long-standing immunosurveillance theory has been reinforced in recent years due to the success of cancer therapies that modulate the immune system (immunotherapy). Cancer cell immune recognition is mainly mediated by neoantigens, small mutated peptides that are presented to immune cells at the cancer cell membrane via the Major Histocompatibility Complex type I (MHC-I). While immune-mediated cancer cell elimination is expected to impose a strong immune selective pressure on the underlying mutations, resulting in the depletion of neoantigens in primary tumours, we demonstrated a surprising lack of such neoantigen depletion signals in cancer genome sequencing data. During the first phase of my PhD, I identified a selection-independent intrinsic association between oncogenicity and immunogenicity of a set of common cancer hot spot mutations such as BRAF V600E. Because emerging evidence suggests an important role for noncanonical, MHC-II (presentable) neoantigens in human carcinogenesis, the underlying somatic mutations could be important modulators of tumour-immune interactions and immunotherapy. During the last phase of my PhD and in the proposed project I intend to perform a systematic analysis on selection signals in MHC-II neoantigen forming mutations and determine their value as a biomarker for immunotherapy responses. Besides the acquired fundamental insights in tumour-immune interactions, results from the PhD project will be valuable for future immunotherapy response predictions and rational (combinatorial) anti-cancer treatment selection.
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- Journal Article
- A2
- open access
MHC class II genotypes are independent predictors of anti-PD1 immunotherapy response in melanoma
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- Journal Article
- A2
- open access
Preclinical exploration of the DNA damage response pathway using the interactive neuroblastoma cell line explorer CLEAN
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- Journal Article
- A1
- open access
Benchmark of tools for in silico prediction of MHC class I and class II genotypes from NGS data
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- Journal Article
- A1
- open access
Quantification of neoantigen-mediated immunoediting in cancer evolution : letter
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- Journal Article
- A1
- open access
A clinically annotated post-mortem approach to study multi-organ somatic mutational clonality in normal tissues