120 Beyond PD-L1: unraveling the enigma of immunotherapy response in PD-L1 negative (<1%) NSCLC patients through quantification of PD-1/PD-L1 engagement in the tumour microenvironment

<h3>Background</h3> Profound advances in cancer patient treatments have come with the advent of immunotherapies directed at blocking immune-suppressive ligand-receptor interactions. However, while there has been success in the use of these immune checkpoint interventions, there has been limited success in stratifying patients for these interventions with response rates at approximately 14%. <h3>Methods</h3> We have determined the extent of the molecular target, intercellular PD-1/PD-L1 interaction state, in FFPE tumor samples from NSCLC patients, using a high-throughput automated quantitative imaging platform (QF- Pro®). QF-Pro® is a FRET/FLIM based assay which can be used to quantify the distance between this receptor ligand pair directly within FFPE samples. This was a multi-site blinded analysis across a cohort of 188 IO-treated patients (treated with nivolumab, pembrolizumab, atezolizumab or durvalumab). <h3>Results</h3> These QF-Pro® analyses demonstrated the intra- and inter-tumoral heterogeneity of the PD-1/PD-L1 immune checkpoint engagement and notably showed no correlation between the extent of PD–1/PD–L1 interaction and PD–L1 expression (r<sub>s</sub>=0.05, P=0.55). Importantly, PD–L1 expression scores used clinically to stratify the patients, correlated poorly with overall survival. By contrast, patients showing a high PD–1/PD–L1 interaction had significantly better responses to anti-PD–1/PD-L1 treatments, as evidenced by increased OS (median 31 months vs 10 months) (figure 1). This relationship was particularly strong in the setting of first line treatments. Even more critically, in a subset of patients determined as being PD-L1 negative (PD-L1 TPS &lt;1%), response to treatment was still observed in those patients with PD-1/PD-L1 interactions (median &gt;60 months vs 14 months). This therefore may yield a mechanism to successfully treat those patients who, under current guidelines, are not be considered for these therapies, despite the therapeutic target existing within their tumor microenvironment.se patients with PD-1/PD-L1 interactions (median &gt;60 months vs 14 months). <h3>Conclusions</h3> In conclusion using the functional read out of this immune checkpoint engagement (PD–1/PD–L1 interaction) as a predictive biomarker for the stratification of NSCLC patients instead of PD–L1 expression should significantly improve the response rates to immunotherapy (table 1). This would both capture patients excluded from checkpoint immunotherapy (high PD–1/PD–L1 interaction but low PD–L1 expression, 24% of patients), and additionally avoid the treatment of patients resistant to this type of treatment (low PD–1/PDL1 interaction but high PD-L1 expression) who may benefit- from alternative cancer therapeutics, such as other immunotherapies. Even at this early stage, QF–Pro® has set an unbiased quantitative cut-off to be considered for anti-PD-1/PD-L1 therapies which can be deployed directly into clinical practice.

Authors

Publication Details

Journal
Regular and Young Investigator Award Abstracts
Published
2024-11-01
DOI
https://doi.org/10.1136/jitc-2024-sitc2024.0120
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

120 Beyond PD-L1: unraveling the enigma of immunotherapy response in PD-L1 negative (<1%) NSCLC patients through quantification of PD-1/PD-L1 engagement in the tumour microenvironment

James Miles, Véronique Calleja, Juan Gumuzio
Regular and Young Investigator Award Abstracts
Cancer Immunotherapy and Biomarkers
article

120 Beyond PD-L1: unraveling the enigma of immunotherapy response in PD-L1 negative (<1%) NSCLC patients through quantification of PD-1/PD-L1 engagement in the tumour microenvironment

James Miles, Véronique Calleja, Juan Gumuzio
article en

Abstract

<h3>Background</h3> Profound advances in cancer patient treatments have come with the advent of immunotherapies directed at blocking immune-suppressive ligand-receptor interactions. However, while there has been success in the use of these immune checkpoint interventions, there has been limited success in stratifying patients for these interventions with response rates at approximately 14%. <h3>Methods</h3> We have determined the extent of the molecular target, intercellular PD-1/PD-L1 interaction state, in FFPE tumor samples from NSCLC patients, using a high-throughput automated quantitative imaging platform (QF- Pro®). QF-Pro® is a FRET/FLIM based assay which can be used to quantify the distance between this receptor ligand pair directly within FFPE samples. This was a multi-site blinded analysis across a cohort of 188 IO-treated patients (treated with nivolumab, pembrolizumab, atezolizumab or durvalumab). <h3>Results</h3> These QF-Pro® analyses demonstrated the intra- and inter-tumoral heterogeneity of the PD-1/PD-L1 immune checkpoint engagement and notably showed no correlation between the extent of PD–1/PD–L1 interaction and PD–L1 expression (r<sub>s</sub>=0.05, P=0.55). Importantly, PD–L1 expression scores used clinically to stratify the patients, correlated poorly with overall survival. By contrast, patients showing a high PD–1/PD–L1 interaction had significantly better responses to anti-PD–1/PD-L1 treatments, as evidenced by increased OS (median 31 months vs 10 months) (figure 1). This relationship was particularly strong in the setting of first line treatments. Even more critically, in a subset of patients determined as being PD-L1 negative (PD-L1 TPS &lt;1%), response to treatment was still observed in those patients with PD-1/PD-L1 interactions (median &gt;60 months vs 14 months). This therefore may yield a mechanism to successfully treat those patients who, under current guidelines, are not be considered for these therapies, despite the therapeutic target existing within their tumor microenvironment.se patients with PD-1/PD-L1 interactions (median &gt;60 months vs 14 months). <h3>Conclusions</h3> In conclusion using the functional read out of this immune checkpoint engagement (PD–1/PD–L1 interaction) as a predictive biomarker for the stratification of NSCLC patients instead of PD–L1 expression should significantly improve the response rates to immunotherapy (table 1). This would both capture patients excluded from checkpoint immunotherapy (high PD–1/PD–L1 interaction but low PD–L1 expression, 24% of patients), and additionally avoid the treatment of patients resistant to this type of treatment (low PD–1/PDL1 interaction but high PD-L1 expression) who may benefit- from alternative cancer therapeutics, such as other immunotherapies. Even at this early stage, QF–Pro® has set an unbiased quantitative cut-off to be considered for anti-PD-1/PD-L1 therapies which can be deployed directly into clinical practice.

Regular and Young Investigator Award Abstracts
Zero hunger
Openalex Percentile: Top 65%
Cancer Immunotherapy and Biomarkers
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.