Metabolic tumor volume assessed by 18F FDG - PET CT scan as a predictive biomarker for immune checkpoint blockers in advanced NSCLC and its biological correlates
Filippo G. Dall'Olio, Wael Zrafi, Veronique Roelants, Valentina Ambrosini, Aloyse Fourquet, Cristina Mitea, Francesco Passiglia, Matteo Bauckneht, Gerald Bonardel, Nicole Conci, Jose Carlos Benitez, Vincenzo Arena, Céline Namour, Marie Naigeon, Isabelle Monnet, Kristi Beshiri, Delphine Hoton, Safiye Dursun, Francois Xavier. Danlos, Giulia Argalia, Mihaela Aldea, Guido Rovera, Lisa Derosa, Valerio Iebba, Hester A. Gietema, Valerie Gounant, Valérie Lacroix, Jordi Remon, Daniel Gautheret, Nathalie Chaput, Bastien Job, Patricia L. Kannouche, Monica Velasco-Nuño, Laurence Zitvogel, Eugenia Cella, José Reinaldo Chícharo de Freitas, Damien Vasseur, Mohamed Aymen Bettaieb, Marco Tagliamento, Lizza Hendriks, Antoine Italiano, David Planchard, Aurelien Marabelle, Fabrice Barlesi, Silvia Novello, Desiree De Andreis, Frank Aboubakar Nan, Andrea Ardizzoni, Gerard Zalcman, Camilo Garcia, Benjamin Besse
{"title":"Metabolic tumor volume assessed by 18F FDG - PET CT scan as a predictive biomarker for immune checkpoint blockers in advanced NSCLC and its biological correlates","authors":"Filippo G. Dall'Olio, Wael Zrafi, Veronique Roelants, Valentina Ambrosini, Aloyse Fourquet, Cristina Mitea, Francesco Passiglia, Matteo Bauckneht, Gerald Bonardel, Nicole Conci, Jose Carlos Benitez, Vincenzo Arena, Céline Namour, Marie Naigeon, Isabelle Monnet, Kristi Beshiri, Delphine Hoton, Safiye Dursun, Francois Xavier. Danlos, Giulia Argalia, Mihaela Aldea, Guido Rovera, Lisa Derosa, Valerio Iebba, Hester A. Gietema, Valerie Gounant, Valérie Lacroix, Jordi Remon, Daniel Gautheret, Nathalie Chaput, Bastien Job, Patricia L. Kannouche, Monica Velasco-Nuño, Laurence Zitvogel, Eugenia Cella, José Reinaldo Chícharo de Freitas, Damien Vasseur, Mohamed Aymen Bettaieb, Marco Tagliamento, Lizza Hendriks, Antoine Italiano, David Planchard, Aurelien Marabelle, Fabrice Barlesi, Silvia Novello, Desiree De Andreis, Frank Aboubakar Nan, Andrea Ardizzoni, Gerard Zalcman, Camilo Garcia, Benjamin Besse","doi":"10.1158/1078-0432.ccr-24-1993","DOIUrl":null,"url":null,"abstract":"Purpose: This study aimed to explore metabolic tumor volume (tMTV) as assessed 18F-fluorodeoxyglucose positron emission tomography-computed tomography (18F-FDG-PET/CT), and understand its biological meaning in patients with NSCLC exposed to immune checkpoint blockers(ICBs). Experimental Design: In this study, patients with advanced NSCLC and a positive PET scan within 42 days of first line treatment were enrolled in 11 institutions across 4 countries. Total MTV (tMTV) was analyzed, with a 42% SUVmax threshold. Survival was analyzed according to high tMTV (≥ median). Plasma proteomic profile, whole exome, transcriptome and other analysis were performed on monocentric cohorts to explore its biological correlates. Results: Of the 518 patients included, 167 received ICBs, 257 had chemotherapy plus ICBs, and 94 had chemotherapy. Median tMTV was 99 cm3. Median overall survival (OS) for patients with high tMTV treated with ICBs was 11.4 months vs 29.6 months (P<0.0012) for those with low tMTV. In patients receiving chemotherapy-ICB tMTV did not correlate with OS (P=0.099). In patients with PD-L1≥1% and high tMTV, chemotherapy-ICB combination was associated with longer OS compared with ICBs alone (20 vs 11.4 months,p=0.026), while no survival differences observed in low tMTV group. High tMTV correlated (and its detrimental effect seems to be driven by) a specific proteomic profile and increase in genomic instability. Conclusion: Our analysis indicates high tTMV is linked to an increase in systemic inflammation, specific cytokines production and chromosomal instability. tTMV may serve as one of the biomarker to select the best upfront strategy in patients with PD-L1 positive advanced NSCLC.","PeriodicalId":10279,"journal":{"name":"Clinical Cancer Research","volume":null,"pages":null},"PeriodicalIF":10.0000,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Cancer Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1158/1078-0432.ccr-24-1993","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: This study aimed to explore metabolic tumor volume (tMTV) as assessed 18F-fluorodeoxyglucose positron emission tomography-computed tomography (18F-FDG-PET/CT), and understand its biological meaning in patients with NSCLC exposed to immune checkpoint blockers(ICBs). Experimental Design: In this study, patients with advanced NSCLC and a positive PET scan within 42 days of first line treatment were enrolled in 11 institutions across 4 countries. Total MTV (tMTV) was analyzed, with a 42% SUVmax threshold. Survival was analyzed according to high tMTV (≥ median). Plasma proteomic profile, whole exome, transcriptome and other analysis were performed on monocentric cohorts to explore its biological correlates. Results: Of the 518 patients included, 167 received ICBs, 257 had chemotherapy plus ICBs, and 94 had chemotherapy. Median tMTV was 99 cm3. Median overall survival (OS) for patients with high tMTV treated with ICBs was 11.4 months vs 29.6 months (P<0.0012) for those with low tMTV. In patients receiving chemotherapy-ICB tMTV did not correlate with OS (P=0.099). In patients with PD-L1≥1% and high tMTV, chemotherapy-ICB combination was associated with longer OS compared with ICBs alone (20 vs 11.4 months,p=0.026), while no survival differences observed in low tMTV group. High tMTV correlated (and its detrimental effect seems to be driven by) a specific proteomic profile and increase in genomic instability. Conclusion: Our analysis indicates high tTMV is linked to an increase in systemic inflammation, specific cytokines production and chromosomal instability. tTMV may serve as one of the biomarker to select the best upfront strategy in patients with PD-L1 positive advanced NSCLC.
期刊介绍:
Clinical Cancer Research is a journal focusing on groundbreaking research in cancer, specifically in the areas where the laboratory and the clinic intersect. Our primary interest lies in clinical trials that investigate novel treatments, accompanied by research on pharmacology, molecular alterations, and biomarkers that can predict response or resistance to these treatments. Furthermore, we prioritize laboratory and animal studies that explore new drugs and targeted agents with the potential to advance to clinical trials. We also encourage research on targetable mechanisms of cancer development, progression, and metastasis.