Determination of Interactive States of Immune Checkpoint Regulators in Lung Metastases after Radiofrequency Ablation

Background: Cases of the spontaneous regression of multiple pulmonary metastases, after radiofrequency ablation (RFA), of a single lung metastasis, have been documented to be mediated by the immune system. The interaction of immune checkpoints, e.g., PD-1/PD-L1 and CTLA-4/CD80, may explain this phen...

Full description

Bibliographic Details
Main Authors: James Miles, Isabelle Soubeyran, Florence Marliot, Nicolas Pangon, Antoine Italiano, Carine Bellera, Stephen G. Ward, Franck Pagès, Jean Palussière, Banafshé Larijani
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/14/23/5738
_version_ 1797463564587368448
author James Miles
Isabelle Soubeyran
Florence Marliot
Nicolas Pangon
Antoine Italiano
Carine Bellera
Stephen G. Ward
Franck Pagès
Jean Palussière
Banafshé Larijani
author_facet James Miles
Isabelle Soubeyran
Florence Marliot
Nicolas Pangon
Antoine Italiano
Carine Bellera
Stephen G. Ward
Franck Pagès
Jean Palussière
Banafshé Larijani
author_sort James Miles
collection DOAJ
description Background: Cases of the spontaneous regression of multiple pulmonary metastases, after radiofrequency ablation (RFA), of a single lung metastasis, have been documented to be mediated by the immune system. The interaction of immune checkpoints, e.g., PD-1/PD-L1 and CTLA-4/CD80, may explain this phenomenon. The purpose of this study is to identify and quantify immune mechanisms triggered by RFA of pulmonary metastases originating from colorectal cancer. Methods: We used two-site time-resolved Förster resonance energy transfer as determined by frequency-domain FLIM (iFRET) for the quantification of receptor–ligand interactions. iFRET provides a method by which immune checkpoint interaction states can be quantified in a spatiotemporal manner. The same patient sections were used for assessment of ligand–receptor interaction and intratumoral T-cell labeling. Conclusion: The checkpoint interaction states quantified by iFRET did not correlate with ligand expression. We show that immune checkpoint ligand expression as a predictive biomarker may be unsuitable as it does not confirm checkpoint interactions. In pre-RFA-treated metastases, there was a significant and negative correlation between PD-1/PD-L1 interaction state and intratumoral CD3+ and CD8+ density. The negative correlation of CD8+ and interactive states of PD-1/PD-L1 can be used to assess the state of immune suppression in RFA-treated patients.
first_indexed 2024-03-09T17:52:32Z
format Article
id doaj.art-a2889cabd37f4a10bd3cc28d4a8e44b0
institution Directory Open Access Journal
issn 2072-6694
language English
last_indexed 2024-03-09T17:52:32Z
publishDate 2022-11-01
publisher MDPI AG
record_format Article
series Cancers
spelling doaj.art-a2889cabd37f4a10bd3cc28d4a8e44b02023-11-24T10:37:51ZengMDPI AGCancers2072-66942022-11-011423573810.3390/cancers14235738Determination of Interactive States of Immune Checkpoint Regulators in Lung Metastases after Radiofrequency AblationJames Miles0Isabelle Soubeyran1Florence Marliot2Nicolas Pangon3Antoine Italiano4Carine Bellera5Stephen G. Ward6Franck Pagès7Jean Palussière8Banafshé Larijani9Cell Biophysics Laboratory, Research Centre for Experimental Marine Biology and Biotechnology (PiE) & Instituto Biofisika (UPV/EHU, CSIC), University of the Basque Country, 48940 Leioa, SpainMolecular Pathology Unit, Department of Pathology, Institut Bergonié, Cours de l’Argonne, 33076 Bordeaux, FranceImmunomonitoring Platform, Laboratory of Immunology, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Européen Georges Pompidou, INSERM, Laboratory of Integrative Cancer Immunology, Université Paris Cité, 75006 Paris, FranceInterventional Radiology, Institut Bergonié, Cours de l’Argonne, 33076 Bordeaux, FranceEarly Phase Trials and Sarcoma, Institut Bergonié, Cours de l’Argonne, 33076 Bordeaux, FranceDepartment of Clinical and Epidemiological Research, Institut Bergonié, 33076 Bordeaux, FranceCentre for Therapeutic Innovation, Leukocyte Biology Laboratory, Life Sciences Department, University of Bath, Claverton Down, Bath BA2 7AY, UKImmunomonitoring Platform, Laboratory of Immunology, Assistance Publique-Hôpitaux de Paris (AP-HP), Hôpital Européen Georges Pompidou, INSERM, Laboratory of Integrative Cancer Immunology, Université Paris Cité, 75006 Paris, FranceInterventional Radiology, Institut Bergonié, Cours de l’Argonne, 33076 Bordeaux, FranceCell Biophysics Laboratory, Research Centre for Experimental Marine Biology and Biotechnology (PiE) & Instituto Biofisika (UPV/EHU, CSIC), University of the Basque Country, 48940 Leioa, SpainBackground: Cases of the spontaneous regression of multiple pulmonary metastases, after radiofrequency ablation (RFA), of a single lung metastasis, have been documented to be mediated by the immune system. The interaction of immune checkpoints, e.g., PD-1/PD-L1 and CTLA-4/CD80, may explain this phenomenon. The purpose of this study is to identify and quantify immune mechanisms triggered by RFA of pulmonary metastases originating from colorectal cancer. Methods: We used two-site time-resolved Förster resonance energy transfer as determined by frequency-domain FLIM (iFRET) for the quantification of receptor–ligand interactions. iFRET provides a method by which immune checkpoint interaction states can be quantified in a spatiotemporal manner. The same patient sections were used for assessment of ligand–receptor interaction and intratumoral T-cell labeling. Conclusion: The checkpoint interaction states quantified by iFRET did not correlate with ligand expression. We show that immune checkpoint ligand expression as a predictive biomarker may be unsuitable as it does not confirm checkpoint interactions. In pre-RFA-treated metastases, there was a significant and negative correlation between PD-1/PD-L1 interaction state and intratumoral CD3+ and CD8+ density. The negative correlation of CD8+ and interactive states of PD-1/PD-L1 can be used to assess the state of immune suppression in RFA-treated patients.https://www.mdpi.com/2072-6694/14/23/5738immune checkpointsPD-1/PD-L1CTLA-4/CD80radiofrequency ablationabscopal effectFRET/FLIM
spellingShingle James Miles
Isabelle Soubeyran
Florence Marliot
Nicolas Pangon
Antoine Italiano
Carine Bellera
Stephen G. Ward
Franck Pagès
Jean Palussière
Banafshé Larijani
Determination of Interactive States of Immune Checkpoint Regulators in Lung Metastases after Radiofrequency Ablation
Cancers
immune checkpoints
PD-1/PD-L1
CTLA-4/CD80
radiofrequency ablation
abscopal effect
FRET/FLIM
title Determination of Interactive States of Immune Checkpoint Regulators in Lung Metastases after Radiofrequency Ablation
title_full Determination of Interactive States of Immune Checkpoint Regulators in Lung Metastases after Radiofrequency Ablation
title_fullStr Determination of Interactive States of Immune Checkpoint Regulators in Lung Metastases after Radiofrequency Ablation
title_full_unstemmed Determination of Interactive States of Immune Checkpoint Regulators in Lung Metastases after Radiofrequency Ablation
title_short Determination of Interactive States of Immune Checkpoint Regulators in Lung Metastases after Radiofrequency Ablation
title_sort determination of interactive states of immune checkpoint regulators in lung metastases after radiofrequency ablation
topic immune checkpoints
PD-1/PD-L1
CTLA-4/CD80
radiofrequency ablation
abscopal effect
FRET/FLIM
url https://www.mdpi.com/2072-6694/14/23/5738
work_keys_str_mv AT jamesmiles determinationofinteractivestatesofimmunecheckpointregulatorsinlungmetastasesafterradiofrequencyablation
AT isabellesoubeyran determinationofinteractivestatesofimmunecheckpointregulatorsinlungmetastasesafterradiofrequencyablation
AT florencemarliot determinationofinteractivestatesofimmunecheckpointregulatorsinlungmetastasesafterradiofrequencyablation
AT nicolaspangon determinationofinteractivestatesofimmunecheckpointregulatorsinlungmetastasesafterradiofrequencyablation
AT antoineitaliano determinationofinteractivestatesofimmunecheckpointregulatorsinlungmetastasesafterradiofrequencyablation
AT carinebellera determinationofinteractivestatesofimmunecheckpointregulatorsinlungmetastasesafterradiofrequencyablation
AT stephengward determinationofinteractivestatesofimmunecheckpointregulatorsinlungmetastasesafterradiofrequencyablation
AT franckpages determinationofinteractivestatesofimmunecheckpointregulatorsinlungmetastasesafterradiofrequencyablation
AT jeanpalussiere determinationofinteractivestatesofimmunecheckpointregulatorsinlungmetastasesafterradiofrequencyablation
AT banafshelarijani determinationofinteractivestatesofimmunecheckpointregulatorsinlungmetastasesafterradiofrequencyablation