Prognostic Impact of Blood Lipid Profile in Patients With Advanced Solid Tumors Treated With Immune Checkpoint Inhibitors: A Multicenter Cohort Study.

immune checkpoint inhibitors lipid metabolism lipid profile triglycerides-high-density lipoproteins ratio

Journal

The oncologist
ISSN: 1549-490X
Titre abrégé: Oncologist
Pays: England
ID NLM: 9607837

Informations de publication

Date de publication:
05 Oct 2023
Historique:
received: 23 03 2023
accepted: 07 09 2023
medline: 5 10 2023
pubmed: 5 10 2023
entrez: 5 10 2023
Statut: aheadofprint

Résumé

Specific components of lipid profile seem to differently impact on immune activity against cancer and unraveling their prognostic role in patients with solid cancer treated with immune checkpoint inhibitors (ICIs) is needed. We retrospectively collected baseline clinicopathological characteristics including circulating lipid profile (total cholesterol [TC], triglycerides [TG], low-density lipoproteins [LDL], high-density lipoproteins [HDL]) of patients with consecutive solid cancer treated with ICIs, and we investigated their role in predicting clinical outcomes. At a median follow-up of 32.9 months, among 430 enrolled patients, those with TC ≥ 200 mg/dl showed longer median progression-free survival (mPFS; 6.6 vs. 4.7 months, P = .4), although not reaching statistical significance, and significantly longer median overall survival (mOS; 19.4 vs. 10.8 months, P = .02) compared to those with TC < 200 mg/dl. Conversely, patients with TG ≥150 mg/dl displayed shorter PFS (3.4 vs. 5.1 months, P = .02) and OS (7.1 vs. 12.9 months, P = .009) compared to those with TG <150 mg/dl. TC and TG were then combined in a "LIPID score" identifying three subgroups: good-risk (GR) (TC ≥200 mg/dl and TG <150 mg/dl), intermediate-risk (IR) (TC <200 mg/dl and TG <150 mg/dl or TC ≥200 mg/dl and TG ≥150 mg/dl) and poor-risk (PR) (TC <200 mg/dl and TG ≥150 mg/dl). The mPFS of GR, IR, and PR groups was 7.8, 4.3, and 2.5 months, respectively (P = .005); mOS of GR, IR, and PR was 20.4, 12.4, and 5.3 months, respectively (P < .001). At multivariable analysis, the PR profile represented an independent poor prognostic factor for both PFS and OS. We developed a lipid score that defined subgroups of patients with cancer who differently benefit from ICIs. Further mechanistic insights are warranted to clarify the prognostic and predictive role of lipid profile components in patients treated with ICIs.

Sections du résumé

BACKGROUND BACKGROUND
Specific components of lipid profile seem to differently impact on immune activity against cancer and unraveling their prognostic role in patients with solid cancer treated with immune checkpoint inhibitors (ICIs) is needed.
MATERIALS AND METHODS METHODS
We retrospectively collected baseline clinicopathological characteristics including circulating lipid profile (total cholesterol [TC], triglycerides [TG], low-density lipoproteins [LDL], high-density lipoproteins [HDL]) of patients with consecutive solid cancer treated with ICIs, and we investigated their role in predicting clinical outcomes.
RESULTS RESULTS
At a median follow-up of 32.9 months, among 430 enrolled patients, those with TC ≥ 200 mg/dl showed longer median progression-free survival (mPFS; 6.6 vs. 4.7 months, P = .4), although not reaching statistical significance, and significantly longer median overall survival (mOS; 19.4 vs. 10.8 months, P = .02) compared to those with TC < 200 mg/dl. Conversely, patients with TG ≥150 mg/dl displayed shorter PFS (3.4 vs. 5.1 months, P = .02) and OS (7.1 vs. 12.9 months, P = .009) compared to those with TG <150 mg/dl. TC and TG were then combined in a "LIPID score" identifying three subgroups: good-risk (GR) (TC ≥200 mg/dl and TG <150 mg/dl), intermediate-risk (IR) (TC <200 mg/dl and TG <150 mg/dl or TC ≥200 mg/dl and TG ≥150 mg/dl) and poor-risk (PR) (TC <200 mg/dl and TG ≥150 mg/dl). The mPFS of GR, IR, and PR groups was 7.8, 4.3, and 2.5 months, respectively (P = .005); mOS of GR, IR, and PR was 20.4, 12.4, and 5.3 months, respectively (P < .001). At multivariable analysis, the PR profile represented an independent poor prognostic factor for both PFS and OS.
CONCLUSIONS CONCLUSIONS
We developed a lipid score that defined subgroups of patients with cancer who differently benefit from ICIs. Further mechanistic insights are warranted to clarify the prognostic and predictive role of lipid profile components in patients treated with ICIs.

Identifiants

pubmed: 37796838
pii: 7291872
doi: 10.1093/oncolo/oyad273
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press.

Auteurs

Federica Pecci (F)

Department of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.

Luca Cantini (L)

Department of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.
Department of Pulmonary Medicine, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.
Fortrea, Inc., Durham, NC, USA.

Valeria Cognigni (V)

Department of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.

Fabiana Perrone (F)

Department of Medicine and Surgery, University of Parma, Parma, Italy.
Medical Oncology Unit, University Hospital of Parma, Parma, Italy.

Giulia Mazzaschi (G)

Department of Medicine and Surgery, University of Parma, Parma, Italy.
Medical Oncology Unit, University Hospital of Parma, Parma, Italy.

Veronica Agostinelli (V)

Department of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.

Giulia Mentrasti (G)

Department of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.

Elda Favari (E)

Department of Food and Drug, University of Parma, Parma, Italy.

Michele Maffezzoli (M)

Department of Medicine and Surgery, University of Parma, Parma, Italy.
Medical Oncology Unit, University Hospital of Parma, Parma, Italy.

Alessio Cortellini (A)

Division of Cancer, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital, London, UK.

Francesca Rossi (F)

Department of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.

Rebecca Chiariotti (R)

Department of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.

Francesco Maria Venanzi (FM)

Department of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.

Giuseppe Lo Russo (G)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Giulia Galli (G)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Claudia Proto (C)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Monica Ganzinelli (M)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Francesca Tronconi (F)

Department of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.

Francesca Morgese (F)

Department of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.

Carla Campolucci (C)

SOD Medicina di Laboratorio, Azienda Ospedaliera Universitaria delle Marche, Ancona, Italy.

Marco Moretti (M)

SOD Medicina di Laboratorio, Azienda Ospedaliera Universitaria delle Marche, Ancona, Italy.

Arianna Vignini (A)

Department of Clinical Sciences, Università Politecnica delle Marche, Ancona, Italy.

Marcello Tiseo (M)

Department of Medicine and Surgery, University of Parma, Parma, Italy.
Medical Oncology Unit, University Hospital of Parma, Parma, Italy.

Roberta Minari (R)

Department of Medicine and Surgery, University of Parma, Parma, Italy.
Medical Oncology Unit, University Hospital of Parma, Parma, Italy.

Marco Luigi Bruno Rocchi (MLB)

Biomolecular Sciences Department, University of Urbino, Urbino, Italy.

Sebastiano Buti (S)

Department of Medicine and Surgery, University of Parma, Parma, Italy.
Medical Oncology Unit, University Hospital of Parma, Parma, Italy.

Rossana Berardi (R)

Department of Medical Oncology, Università Politecnica delle Marche, AOU delle Marche, Ancona, Italy.

Classifications MeSH