Vienna, Austria

ESTRO 2023

Session Item

Sunday
May 14
15:15 - 16:30
Plenary Hall
ESTRO-IASLC: New treatment strategies for stage III NSCLC and innovative biomarkers for patient's selection and monitoring
Andrea Bezjak, Canada;
Ben Slotman, The Netherlands
2380
Joint Symposium
Clinical
16:09 - 16:27
Biomarkers for patient selection and monitoring
Gerard Walls, United Kingdom
SP-0530

Abstract

Biomarkers for patient selection and monitoring
Authors:

Gerard Walls1

1Queen's University Belfast, Patrick G Johnston Centre for Cancer Research, Belfast, United Kingdom

Show Affiliations
Abstract Text

Individualisation of radiotherapy has been a goal for over 50 years and is beginning to be realised for patients with non-small cell lung cancer (NSCLC) predominantly due to improvements in our biological understanding and imaging technology.



In the advent of molecular stratification and targeted biological drug therapies in metastatic lung cancer, characterisation of tumour gene expression is now the gold standard for all new cases of NSCLC. In order to minimise turnaround times, testing is routinely performed in a reflex manner for all new NSCLC cases in many centres, and includes non-metastatic cases, providing an opportunity to study the impact of specific gene mutation on locoregional and distant control. Principles from the paradigm-shifting adjuvant targeted therapy studies such as ADAURA may be transferrable to the radiotherapy setting.



The utility of ctDNA in patients with NSCLC for assessing the response to drug therapies and the detection of residual disease after surgery, designates it as an excellent candidate marker of disease relapse following radiotherapy. This non-invasive assay has high specificity and sensitivity, and preliminary work by our group suggests that ctDNA levels change acutely during radiotherapy. Proof-of-concept papers by UK and Canadian groups demonstrated that acute fluctuations in ctDNA commonly occur during treatment of locally advanced NSCLC. Trials are ongoing with respect to the detection of minimal residual disease.



Quantitative imaging analysis, ie the field of radiomics, has the potential to equip lung oncologists with numerical parameters to support clinical decisions. This type of analysis is of particular importance in lung cancer because of the difficulty in discerning tumour from radiation pneumonitis, fibrotic parenchyma and infective consolidation. Imaging-derived indices hold promise in the search for lung cancer radiotherapy biomarkers in relation to treatment response, patterns of failure, normal tissue toxicity and survival. Before radiomic analysis can be implemented in practice however, evidence from randomised data is required and solutions to overcome artefactual findings that result from logistical variations. eg. scanner type and acquisition protocols.



Following the recent advent of immunotherapy for advanced NSCLC, adjuvant immune checkpoint inhibitors have been integrated into the gold standard treatment of localised NSCLC being managed with definitive radiotherapy. Programmed death ligand 1 (PD-L1) expression levels are known to be predictive of response to immunotherapy agents, and may serve as a predictive parameter in relation to the radiation response. Curative-dose radiation may impact the PD-L1 expression of NSCLC cells, given the established immune effects of treatment on other elements of the tumour microenvironment.



Personalised radiotherapy is increasingly achievable due to biological and technological advancements, and ultimately will inevitably result in better clinical and patient-reported outcomes though tailored dose, fractionation, systemic therapy sequencing and surveillance.