2O TILs and PD-L1 early dynamics in the randomized Neo-CheckRay phase II trial evaluating neo-adjuvant immuno-radiation and adenosine pathway blockade for early-stage, high risk ER+/HER2- breast cancer (BC)

Background: Immunotherapy has transformed treatment for advanced non-small cell lung cancer (NSCLC).However, reliable biomarkers for treatment selection remain scarce.Gut microbiota (GM) has emerged as a potential biomarker, but its role in chemo-immunotherapy for NSCLC is unclear. Methods:The phase III trial (JCOG2007, NIPPON) compared pembrolizumab plus platinum doublet chemotherapy (PC) and nivolumab-ipilimumab plus platinum doublet chemotherapy (NIC) in treatment-nave advanced NSCLC patients without driver gene alterations.As an ancillary biomarker study, 270 patients with baseline fecal samples were analyzed for GM composition out of 295 patients enrolled in JCOG2007.16S rDNA sequencing was performed for the subsequent GM diversity and differential abundance analysis. Results:The beta diversity analysis of the overall cohort (n270) revealed distinct microbial structures between responders and non-responders, categorized by overall survival (OS) at 12 or 18 months.Subsequent LEfSe analysis identified specific bacterial genera that differed between the groups, with Fusicatenibacter, Butyricicoccus, and Blautia being enriched in patients with longer OS.Regarding adverse events (AEs), lower microbial alpha diversity and the presence of certain taxa were linked to a higher risk of severe AEs ( grade 4).Additionally, favorable genera, including Fusicatenibacter and Butyricicoccus, were associated with a lower risk of severe AEs.Lastly, regimen-specific analysis showed that higher abundance of Fusicatenibacter and Butyricicoccus in the NIC arm were linked to better OS compared to the CP arm (Hazard Ratio (HR) for OS 0.56 and 0.52, respectively).Conversely, the higher abundance of Prevotellaceae NK3B31 was associated with higher mortality risk in the NIC arm (HR for OS 2.33).Conclusions: GM may serve as a biomarker for chemo-immunotherapy in advanced NSCLC.Differences in microbial diversity and specific bacterial genera were associated with prognosis and severe AEs, with potential regimen-specific effects.These findings support integrating GM profiling into clinical practice to optimize first-line treatment strategies.

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Publication Details

Journal
Immuno-Oncology Technology
Published
2024-12-01
DOI
https://doi.org/10.1016/j.iotech.2024.100886
Citations
1
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.28

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article

2O TILs and PD-L1 early dynamics in the randomized Neo-CheckRay phase II trial evaluating neo-adjuvant immuno-radiation and adenosine pathway blockade for early-stage, high risk ER+/HER2- breast cancer (BC)

F. Rothé, Vincent Remouchamps, Denis Larsimont, Laurence Buisseret et al.
1 citations
Immuno-Oncology Technology
Cancer Immunotherapy and Biomarkers
0.28
article

2O TILs and PD-L1 early dynamics in the randomized Neo-CheckRay phase II trial evaluating neo-adjuvant immuno-radiation and adenosine pathway blockade for early-stage, high risk ER+/HER2- breast cancer (BC)

F. Rothé, Vincent Remouchamps, Denis Larsimont, Laurence Buisseret, Isabelle Desmoulins, John Stagg, Roberto Salgado, Anique Baten, Christos Sotiriou, Marcela Carausu, Xavier Catteau, Michail Ignatiadis, P. Poortmans, Emanuela Romano, Cédric van Marcke, A. De Caluwé, Martine Piccart, Zoë Denis
article en
1 citations

Abstract

Background: Immunotherapy has transformed treatment for advanced non-small cell lung cancer (NSCLC).However, reliable biomarkers for treatment selection remain scarce.Gut microbiota (GM) has emerged as a potential biomarker, but its role in chemo-immunotherapy for NSCLC is unclear. Methods:The phase III trial (JCOG2007, NIPPON) compared pembrolizumab plus platinum doublet chemotherapy (PC) and nivolumab-ipilimumab plus platinum doublet chemotherapy (NIC) in treatment-nave advanced NSCLC patients without driver gene alterations.As an ancillary biomarker study, 270 patients with baseline fecal samples were analyzed for GM composition out of 295 patients enrolled in JCOG2007.16S rDNA sequencing was performed for the subsequent GM diversity and differential abundance analysis. Results:The beta diversity analysis of the overall cohort (n270) revealed distinct microbial structures between responders and non-responders, categorized by overall survival (OS) at 12 or 18 months.Subsequent LEfSe analysis identified specific bacterial genera that differed between the groups, with Fusicatenibacter, Butyricicoccus, and Blautia being enriched in patients with longer OS.Regarding adverse events (AEs), lower microbial alpha diversity and the presence of certain taxa were linked to a higher risk of severe AEs ( grade 4).Additionally, favorable genera, including Fusicatenibacter and Butyricicoccus, were associated with a lower risk of severe AEs.Lastly, regimen-specific analysis showed that higher abundance of Fusicatenibacter and Butyricicoccus in the NIC arm were linked to better OS compared to the CP arm (Hazard Ratio (HR) for OS 0.56 and 0.52, respectively).Conversely, the higher abundance of Prevotellaceae NK3B31 was associated with higher mortality risk in the NIC arm (HR for OS 2.33).Conclusions: GM may serve as a biomarker for chemo-immunotherapy in advanced NSCLC.Differences in microbial diversity and specific bacterial genera were associated with prognosis and severe AEs, with potential regimen-specific effects.These findings support integrating GM profiling into clinical practice to optimize first-line treatment strategies.

Immuno-Oncology TechnologyVol. 24
Cliniques Universitaires Saint-Luc (BE), Universitair Ziekenhuis Leuven (BE), Institut Jules Bordet (BE), CHU Dinant Godinne UCL Namur (BE), GZA Ziekenhuizen Campus Sint-Augustinus (BE), Centre Georges François Leclerc (FR), Iridium Kankernetwerk (BE), Université de Montréal (CA), Institut Curie (FR)
Japan Agency for Medical Research and Development, Japanese Respiratory Society
Good health and well-being
Openalex Percentile: Top 33%
Cancer Immunotherapy and Biomarkers
0.28
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