Development and Validation of an Inflammatory Prognostic Index to Predict Outcomes in Advanced/Metastatic Urothelial Cancer Patients Receiving Immune Checkpoint Inhibitors.

advanced/metastatic urothelial cancer immune checkpoint inhibitors inflammatory markers

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
11 Apr 2024
Historique:
received: 06 03 2024
revised: 02 04 2024
accepted: 08 04 2024
medline: 27 4 2024
pubmed: 27 4 2024
entrez: 27 4 2024
Statut: epublish

Résumé

Immune checkpoint inhibitors (ICIs) improve overall survival (OS) in advanced/metastatic urothelial cancer (a/mUC) patients. Preliminary evidence suggests a prognostic role of inflammatory biomarkers in this setting. We aimed to develop a disease-specific prognostic inflammatory index for a/mUC patients on ICIs. Fifteen variables were retrospectively correlated with OS and progression-free survival (PFS) in a development (D, n = 264) and a validation (V, n = 132) cohort of platinum-pretreated a/mUC pts receiving ICIs at L2 or further line. A nomogram and inflammatory prognostic index (U-IPI) were developed. The index was also tested in a control cohort of patients treated with chemotherapy only (C, n = 114). The strongest predictors of OS were baseline platelet/lymphocyte (PLR) and neutrophil/lymphocyte (NLR) ratios, and lactate dehydrogenase (LDH), NLR, and albumin changes at 4 weeks. These were used to build the U-IPI, which can distinctly classify patients into good or poor response groups. The nomogram scoring is significant for PFS and OS ( The lack of a baseline systemic inflammatory profile and the absence of early serum inflammatory biomarker changes are associated with significantly better outcomes on ICIs in a/mUC pts. The U-IPI is an easily applicable dynamic prognostic tool for PFS and OS, allowing for the early identification of a sub-group with dismal outcomes that would not benefit from ICIs, while distinguishing another that draws an important benefit.

Sections du résumé

BACKGROUND BACKGROUND
Immune checkpoint inhibitors (ICIs) improve overall survival (OS) in advanced/metastatic urothelial cancer (a/mUC) patients. Preliminary evidence suggests a prognostic role of inflammatory biomarkers in this setting. We aimed to develop a disease-specific prognostic inflammatory index for a/mUC patients on ICIs.
METHODS METHODS
Fifteen variables were retrospectively correlated with OS and progression-free survival (PFS) in a development (D, n = 264) and a validation (V, n = 132) cohort of platinum-pretreated a/mUC pts receiving ICIs at L2 or further line. A nomogram and inflammatory prognostic index (U-IPI) were developed. The index was also tested in a control cohort of patients treated with chemotherapy only (C, n = 114).
RESULTS RESULTS
The strongest predictors of OS were baseline platelet/lymphocyte (PLR) and neutrophil/lymphocyte (NLR) ratios, and lactate dehydrogenase (LDH), NLR, and albumin changes at 4 weeks. These were used to build the U-IPI, which can distinctly classify patients into good or poor response groups. The nomogram scoring is significant for PFS and OS (
CONCLUSIONS CONCLUSIONS
The lack of a baseline systemic inflammatory profile and the absence of early serum inflammatory biomarker changes are associated with significantly better outcomes on ICIs in a/mUC pts. The U-IPI is an easily applicable dynamic prognostic tool for PFS and OS, allowing for the early identification of a sub-group with dismal outcomes that would not benefit from ICIs, while distinguishing another that draws an important benefit.

Identifiants

pubmed: 38672547
pii: cancers16081465
doi: 10.3390/cancers16081465
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Sara Mokbel (S)

Faculty of Medicine, UCL-University College London, London WC1H 0AP, UK.

Giuilia Baciarello (G)

Medical Oncology Department, Azienda Ospedaliera San Camillo Forlanini, 00152 Roma, Italy.

Pernelle Lavaud (P)

Medical Oncology Department, Gustave Roussy Cancer Campus, 94805 Villejuif, France.

Aurelius Omlin (A)

Medical Oncology and Haematology Department, OnkoZentrum Zürich, 8038 Zurich, Switzerland.

Fabio Calabrò (F)

Medical Oncology 1, IRCCS National Cancer Institute Regina Elena, 00144 Rome, Italy.

Richard Cathomas (R)

Medical Oncology 1, IRCCS National Cancer Institute Regina Elena, 00144 Rome, Italy.

Stefanie Aeppli (S)

Department of Medical Oncology and Haematology, Cantonal Hospital St.Gallen, 9000 St. Gallen, Switzerland.

Pauline Parent (P)

Medical Oncology Departement, CHU Lille-Centre Hospitalier Régional Universitaire de Lille, 59000 Lille, France.

Patrizia Giannatempo (P)

Medical Oncology Department, Fondazione IRCCS-Istituto Nazionale dei Tumori, 20133 Milan, Italy.

Kira-Lee Koster (KL)

Department of Medical Oncology and Haematology, Cantonal Hospital St.Gallen, 9000 St. Gallen, Switzerland.

Naara Appel (N)

Medical Oncology Departement, HUG-Hopitaux Universitaires Geneve, 1205 Geneva, Switzerland.

Philippe Gonnet (P)

Medical Oncology Departement, HUG-Hopitaux Universitaires Geneve, 1205 Geneva, Switzerland.

Gesuino Angius (G)

Medical Oncology Department, Azienda Ospedaliera San Camillo Forlanini, 00152 Roma, Italy.

Petros Tsantoulis (P)

Medical Oncology Departement, HUG-Hopitaux Universitaires Geneve, 1205 Geneva, Switzerland.

Hendrick-Tobias Arkenau (HT)

SCRI, London W1G 6AD, UK.

Carlo Cattrini (C)

Maggiore della Carità University Hospital, 28100 Novara, Italy.

Carlo Messina (C)

Ospedale A.R.N.A.S Civico, 90127 Palermo, Italy.

Jean Zeghondy (J)

Medical Oncology Department, Gustave Roussy Cancer Campus, 94805 Villejuif, France.

Cristina Morelli (C)

Medical Oncology Unit, Policlinico Tor Vergata, 00133 Rome, Italy.

Yohann Loriot (Y)

Medical Oncology Department, Gustave Roussy Cancer Campus, 94805 Villejuif, France.

Vincenzo Formica (V)

Medical Oncology Unit, Policlinico Tor Vergata, 00133 Rome, Italy.

Anna Patrikidou (A)

Medical Oncology Department, Gustave Roussy Cancer Campus, 94805 Villejuif, France.

Classifications MeSH