Validation of the Lung Immune Prognostic Index (LIPI) as a prognostic biomarker in metastatic renal cell carcinoma.

Antiangiogenics Biomarkers LIPI Prognosis Renal cell carcinoma immune checkpoint inhibitors

Journal

European journal of cancer (Oxford, England : 1990)
ISSN: 1879-0852
Titre abrégé: Eur J Cancer
Pays: England
ID NLM: 9005373

Informations de publication

Date de publication:
08 Apr 2024
Historique:
received: 18 02 2024
revised: 31 03 2024
accepted: 05 04 2024
medline: 24 4 2024
pubmed: 24 4 2024
entrez: 23 4 2024
Statut: aheadofprint

Résumé

The Lung Immune Prognostic Index (LIPI) is associated with immune checkpoint inhibitors (ICI) outcomes across different solid tumors, particularly in non-small cell lung cancer. Data regarding the prognostic and/or predictive role of LIPI in metastatic renal cell carcinoma (mRCC) are still scarce. The aim of this study was to evaluate whether LIPI could be predictive of survival in mRCC patients. We used patient level data from three different prospective studies (NIVOREN trial: nivolumab; TORAVA trial: VEGF/VEGFR-targeted therapy (TT); CheckMate 214: nivolumab-ipilimumab vs sunitinib). LIPI was calculated based on a derived neutrophils/(leukocyte-neutrophil) ratio > 3 and lactate-dehydrogenase >upper limit of normal, classifying patients into three groups (LIPI good, 0 factors;LIPI intermediate (int), 1 factor;LIPI poor, 2 factors) and/or into two groups (LIPI good, 0 factors;LIPI int/poor, 1-2 factors) according to trial sample size. Primary and secondary endpoints were overall survival (OS) and progression-free survival (PFS). In the Nivolumab dataset (n = 619), LIPI was significantly associated with OS (LIPI-good 30.1 vs 13.8 months in the LIPI int/poor; HR= 0.47) and PFS (HR=0.74). In the VEGF/VEGFR-TT dataset (n = 159), only a correlation with PFS was observed. In the CheckMate214 dataset (n = 1084), LIPI was significantly associated with OS (nivolumab-ipilimumab OS LIPI good vs int/poor: HR=0.55, p < 0.0001; sunitinib: OS LIPI good vs int/poor: 0.38, p < 0.0001) in both treatment groups in univariate and multivariate analysis. Pretreatment-LIPI correlated with worse survival outcomes in mRCC treated with either ICI or antiangiogenic therapy, confirming LIPI's prognostic role in mRCC irrespective of systemic treatment used.

Sections du résumé

BACKGROUND BACKGROUND
The Lung Immune Prognostic Index (LIPI) is associated with immune checkpoint inhibitors (ICI) outcomes across different solid tumors, particularly in non-small cell lung cancer. Data regarding the prognostic and/or predictive role of LIPI in metastatic renal cell carcinoma (mRCC) are still scarce. The aim of this study was to evaluate whether LIPI could be predictive of survival in mRCC patients.
METHODS METHODS
We used patient level data from three different prospective studies (NIVOREN trial: nivolumab; TORAVA trial: VEGF/VEGFR-targeted therapy (TT); CheckMate 214: nivolumab-ipilimumab vs sunitinib). LIPI was calculated based on a derived neutrophils/(leukocyte-neutrophil) ratio > 3 and lactate-dehydrogenase >upper limit of normal, classifying patients into three groups (LIPI good, 0 factors;LIPI intermediate (int), 1 factor;LIPI poor, 2 factors) and/or into two groups (LIPI good, 0 factors;LIPI int/poor, 1-2 factors) according to trial sample size. Primary and secondary endpoints were overall survival (OS) and progression-free survival (PFS).
RESULTS RESULTS
In the Nivolumab dataset (n = 619), LIPI was significantly associated with OS (LIPI-good 30.1 vs 13.8 months in the LIPI int/poor; HR= 0.47) and PFS (HR=0.74). In the VEGF/VEGFR-TT dataset (n = 159), only a correlation with PFS was observed. In the CheckMate214 dataset (n = 1084), LIPI was significantly associated with OS (nivolumab-ipilimumab OS LIPI good vs int/poor: HR=0.55, p < 0.0001; sunitinib: OS LIPI good vs int/poor: 0.38, p < 0.0001) in both treatment groups in univariate and multivariate analysis.
CONCLUSIONS CONCLUSIONS
Pretreatment-LIPI correlated with worse survival outcomes in mRCC treated with either ICI or antiangiogenic therapy, confirming LIPI's prognostic role in mRCC irrespective of systemic treatment used.

Identifiants

pubmed: 38653033
pii: S0959-8049(24)00704-4
doi: 10.1016/j.ejca.2024.114048
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

114048

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest LCA: Travel/accomodation: Pfizer, Ipsen. Honoraria: Ipsen, Janssen. PL: Travel accomodation: IPSEN, JANSSEN, Astellas, Pfizer, Chugai, Sanofi. Consulting/Advisory: Astellas, AZ, Sanofi, BMS. Grant: Servier. SN Honoraria: Pfizer, Ipsen, Merck Sharp & Dohme, Bristol-Myers Squibb, Eisai. Travel/accomodation: Pfizer, Ipsen, Merck Sharp & Dohme, Bristol-Myers Squibb. Research funding: Ipsen, Pfizer and Merck Sharp & Dohme. GG: Travel, Accommodations, Expenses: Janssen Oncology, Bristol-Myers Squibb, Astellas Pharma, Pfizer, Ipsen. RJM: Research funding from Bristol Myers Squibb, Eisai, Exelixis, Genentech/Roche, Merck, Pfizer, and Aveo Pharmaceuticals; consulting fees from AstraZeneca, Aveo Pharmaceuticals, Eisai, EMD Serono, Exelixis, Genentech/Roche, Incyte, Lilly, Merck, Novartis, Pfizer, and Takeda. CC: Consulting or Advisory Role: Bristol-Myers Squibb, Novartis, Ipsen, Pfizer. Travel, Accommodations, Expenses: Pfizer, Ipsen, AstraZeneca, Bristol-Myers Squibb, MSD Oncology. NT: Honorarium: AstraZeneca, Bristol-Myers-Squibb, Eisai Medical Research, Exelixis, lntellisphere, Merck Sharp & Dohme, Nektar Therapeutics, Neoleukin, Oncorena. Clinical Grants: Arrowhead Pharmaceuticals, Institutional Bristol-Myers-Squibb, Institutional Calithera Biosciences, Institutional Exelixis, Institutional Nektar Therapeutics, Institutional Novartis, Institutional. SO: Honoraria/advisory board: Astellas, Bayer, BSM, Eisai, Ipsen, Janssen, Merck, Novartis, Pfizer, Sanofi. travel support: Astellas, Bayer, BSM, Eisai, Ipsen, Janssen, Merck, Novartis, Pfizer, Sanofi. Grants: Astellas, Bayer, BSM, Ipsen, Janssen, Novartis, Pfizer, Sanofi. DFM: reported honoraria from BMS, Pfizer, Merck, Alkernes, EMD Serono, Eli Lilly and Company, Iovance, Eisai, Werewolf Therapeutics, Calithera Biosciences, and research funding from BMS, Merck, Genentech, Pfizer, Exelixis, X4 Pharma, and Alkermes. BL: Honoraria: Sanofi, Bristol-Myers Squibb, Roche. Travel, Accommodations, Expenses: Pfizer, Bristol-Myers Squibb, Janssen Oncology. HH: reported receiving grants from Bristol Myers Squibb outside the submitted work. PB: Member of the advisory board of Bristol Myers Squibb, Pfizer, Merck, IPSEN, AMGEN, AstraZeneca, Janssen-Cilag, Astellas, Bayer, MSD, Advanced Accelerator Applications (AAA), and GILEAD. EP: has received research funding from Astellas Pharma US, AstraZeneca Pharmaceuticals LP, Bristol-Myers Squibb, Genentech, Infinity Pharmaceuticals, Merck & Co., Peloton Therapeutics, and Pfizer, and serves as a consultant for Bristol-Myers Squibb, Flatiron Health, Genentech, Merck & Co., and Seattle Genetics. DP: Consulting or Advisory Role: Astellas Pharma, Bristol-Myers Squibb, Ipsen, Janssen-Cilag, Novartis, Pfizer, Sanofi, Roche, MSD Oncology, AstraZeneca. Research Funding: Astellas Pharma (Inst), Janssen-Cilag (Inst), MSD Oncology (Inst), AstraZeneca/MedImmune (Inst), Genentech (Inst), Pfizer (Inst). MGG: honoraria for consultancy/ advisory board: BMS, MSD, Ipsen, Pfizer, Eisai, astra Zeneca. Travel support: MSD, Ipsen. BR: serves as a consultant for and has received research funding from Pfizer, Merck, GNE/Roche, Peloton, Aveo, and BMS; has received research funding from AstraZeneca; serves as a consultant for Novartis, Synthorx, Compugen, Corvus, and Exelixis; and owns stock in PTC Therapeutics. BE: Honoraria: Pfizer, BMS, Travel: BMS, Ipsen, MSD. LA: Honoraria: Astellas Pharma, Eisai, Ipsen, F. Homann-La Roche, BMS, Janssen Pharmaceuticals, Merck Sharp and Dohme. Travel: Merck Sharp and Dohme, BMS. CD, RJ, CWL and HDS have no conflicts of interest to declare.

Auteurs

Lucia Carril-Ajuria (L)

Gustave Roussy, Villejuif, France. Electronic address: carrilajuria.lucia@gmail.com.

Pernelle Lavaud (P)

Gustave Roussy, Villejuif, France.

Cecile Dalban (C)

Department of Biostatistics, Centre Leon Bernard, Lyon, France.

Sylvie Negrier (S)

Université de Lyon, Centre Leon Bernard, Lyon, France.

Gwénaëlle Gravis (G)

Institut Paoli-Calmettes, Aix-Marseille, France.

Robert J Motzer (RJ)

Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Christine Chevreau (C)

Institut Universitaire du Cancer Toulouse-Oncopole, Toulouse, France.

Nizar M Tannir (NM)

University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Stéphane Oudard (S)

Hôpital Européen Georges Pompidou, Oncology department, Assistance Publique-Hôpitaux de Paris, Université Paris Cité, Paris, France.

David F McDermott (DF)

Dana-Farber/Harvard Cancer Center, Boston, MA, USA.

Brigitte Laguerre (B)

Centre Eugene Marquis, Rennes, France.

Hans J Hammers (HJ)

UT Southwestern Kidney Cancer Program, Dallas, TX, USA.

Philippe Barthelemy (P)

Institut de Cancérologie Strasbourg Europe, Strasbourg, France.

Elizabeth R Plimack (ER)

Fox Chase Cancer Center, Philadelphia, PA, USA.

Delphine Borchiellini (D)

Centre Antoine Lacassagne, Université Côte d'Azur, Nice, France.

Marine Gross-Goupil (M)

Department of Medical Oncology, Bordeaux University Hospital, Bordeaux, France.

Ruiyun Jiang (R)

Bristol Myers Squibb, Princeton, USA.

Chung-Wei Lee (CW)

Bristol Myers Squibb, Princeton, USA.

Heshani de Silva (H)

Bristol Myers Squibb, Princeton, USA.

Brian I Rini (BI)

Vanderbilt-Ingram Cancer Center, Nashville, USA.

Bernard Escudier (B)

Gustave Roussy, Villejuif, France.

Laurence Albigès (L)

Gustave Roussy, Villejuif, France. Electronic address: Laurence.albiges@gustaveroussy.fr.

Classifications MeSH