H2020Individual fellowship2021–2023

TxImmuneOrganoids · Divide and conquer: using patient-derived tumour organoids to dissect intra-tumour immune heterogeneity of non-small cell lung cancer

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2021-08-01 → 2023-07-31
EU contribution
€224,934
Participants
1
Scheme
MSCA-IF

Lines connect the coordinator with its partners.

Results in brief

Divide and conquer: using patient-derived tumour organoids to dissect intra-tumour immune heterogeneity of non-small cell lung cancer

Context The immune system has the capacity to control cancer growth, as illustrated by the recent successes in therapies aimed at reinvigorating anti-tumour immunity. It is becoming increasingly clear that there is heterogeneity within individual tumours with respect to their interaction with the immune system. For example, regions heavily infiltrated with immune cells (‘hot’ regions) and immune-deserted regions (‘cold’ regions) can coexist in the same tumour. At the same time, driven by work from the host (Swanton) lab and other labs, we now know that cancers are subject to the force of genetic evolution, resulting in multiple cancer subclones that harbour distinct genetic mutations. The extent to which separate subclones differ in their capacity for immune evasion, the tumour-intrinsic mechanisms underlying any such heterogeneity, and its impact on cancer immunosurveillance remain largely unexplored. This question has both biological and clinical relevance, as resistance to cancer immunotherapy could be driven by (minor) resistant subclones. Identifying the mechanisms that drive subclonal immune evasion could therefore ultimately lead to the development of novel immunotherapies that will result in deeper responses compared to current practice. Determining the ability of individual cancer subclones to elicit an immune cell response has been challenging so far because of the lack of patient-derived model systems that can recapitulate the interaction between cancer cells and immune cells at the level of single clones. Overall objectives Patient-derived tumour organoids (PDTOs) are three-dimensional cultures of cancer cells that can be established directly from patient tumours. PDTOs can be co-cultured with patient-matched immune cells to create a miniaturised test system for anti-tumour immunity at the level of an individual patient. Here, we leverage the multi-region TRACERx lung cancer evolution study to generate a patient-derived study platform that allows the evaluation of T-cell responses to individual cancer subclones. Our overall objective is to evaluate whether distinct subclones differ in their ability to elicit a T-cell response, and the mechanistic basis underlying any such heterogeneity (Fig. 1)

Data: CORDIS, © European Union

Project objective

Immune checkpoint blockade (ICB) has revolutionised treatment of patients with non-small cell lung cancer (NSCLC), but is effective in only ~20% of patients. Anti-tumour immunity is highly heterogeneous within tumours, and intra-tumour heterogeneity (ITH) is a major driver for treatment resistance. However, the mechanistic basis of intra-tumour immune heterogeneity (ITIH) is unclear, largely due to the absence of appropriate functional models. Here, I aim to identify the genetic or transcriptomic drivers of ITIH, and their impact on immune surveillance and control. I have recently developed an organoid – T-cell co-culture system that I will use to generate personalised models of ITIH. Leveraging the TRACERx lung cancer evolution study, I will establish multiple clonal organoid lines from the same tumour from NSCLC multi-region biopsies. Each organoid subline will be co-cultured with autologous T-cells to evaluate how they differ in sensitivity to T-cells. For each patient, the 6 most sensitive and 6 most resistant sublines will be used for DNA and RNA sequencing to identify mutations (including neo-antigens), copy number alterations and differentially expressed genes associated with resistance to T-cells. Candidate subclonal immune evasion factors will be validated in organoids by CRISPR-Cas9. I will prioritise genes by cross-referencing with genes associated with immune-cold regions in the TRACERx cohort. I will also perform pooled enrichment screens as a less biased approach.The integration of novel organoid technology with ‘big data’ from TRACERx allows moving beyond merely descriptive studies of ITIH. This will result in the most fine-grained mechanistic study of ITIH to date.

Original text from CORDIS.

Participants

  • THE FRANCIS CRICK INSTITUTE LIMITED · LondonCoordinatorUnited Kingdom

Links

Data: CORDIS, © European Union