A prognostic model in patients with advanced biliary tract cancer receiving first-line chemotherapy.


Journal

Acta oncologica (Stockholm, Sweden)
ISSN: 1651-226X
Titre abrégé: Acta Oncol
Pays: England
ID NLM: 8709065

Informations de publication

Date de publication:
Oct 2021
Historique:
pubmed: 21 7 2021
medline: 18 9 2021
entrez: 20 7 2021
Statut: ppublish

Résumé

Standard treatment of advanced biliary tract cancer (aBTC) is represented by first-line chemotherapy (CT1). However, some patients do not gain any benefit from CT1, contributing to the overall dismal prognosis of aBTC. The present study aimed to devise a prognostic model in aBTC patients receiving CT1. A large panel of clinical, laboratory, and pathology variables, available before the start of CT1, were retrospectively assessed in a multi-centric cohort to determine their prognostic value on univariate and multivariate regression analysis. The variables that showed a significant correlation with overall survival (OS) were computed in a three-tier prognostic score. External validation of the prognostication performance was carried out. Clinical histories of 935 patients (median OS 10.3 months), with diagnosis dates ranging from 2001 to 2017, were retrieved from 14 institutions. According to multivariate analysis, Eastern Cooperative Oncology Group performance status, carbohydrate antigen 19.9, albumin levels, and neutrophil/lymphocyte ratio were strongly associated with OS ( A prognostic score, derived from a limited set of easily-retrievable variables, efficiently stratified a large population of unselected aBTC patients undergoing CT1. This tool could be useful to clinicians, to ascertain the potential benefit from CT1 at the start of treatment.

Sections du résumé

BACKGROUND BACKGROUND
Standard treatment of advanced biliary tract cancer (aBTC) is represented by first-line chemotherapy (CT1). However, some patients do not gain any benefit from CT1, contributing to the overall dismal prognosis of aBTC. The present study aimed to devise a prognostic model in aBTC patients receiving CT1.
METHODS METHODS
A large panel of clinical, laboratory, and pathology variables, available before the start of CT1, were retrospectively assessed in a multi-centric cohort to determine their prognostic value on univariate and multivariate regression analysis. The variables that showed a significant correlation with overall survival (OS) were computed in a three-tier prognostic score. External validation of the prognostication performance was carried out.
RESULTS RESULTS
Clinical histories of 935 patients (median OS 10.3 months), with diagnosis dates ranging from 2001 to 2017, were retrieved from 14 institutions. According to multivariate analysis, Eastern Cooperative Oncology Group performance status, carbohydrate antigen 19.9, albumin levels, and neutrophil/lymphocyte ratio were strongly associated with OS (
CONCLUSION CONCLUSIONS
A prognostic score, derived from a limited set of easily-retrievable variables, efficiently stratified a large population of unselected aBTC patients undergoing CT1. This tool could be useful to clinicians, to ascertain the potential benefit from CT1 at the start of treatment.

Identifiants

pubmed: 34282710
doi: 10.1080/0284186X.2021.1953704
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1317-1324

Auteurs

Roberto Filippi (R)

Department of Oncology, University of Turin, Torino, Italy.
Division of Medical Oncology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Centro Oncologico Ematologico Subalpino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy.

Francesco Montagnani (F)

Division of Medical Oncology, ASL BI, Nuovo Ospedale degli Infermi, Ponderano, Italy.

Pasquale Lombardi (P)

Department of Oncology, University of Turin, Torino, Italy.
Division of Medical Oncology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.

Lorenzo Fornaro (L)

Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.

Giuseppe Aprile (G)

Department of Oncology, University Hospital of Udine, Udine, Italy.
Department of Oncology, San Bortolo General Hospital, AULSS8, Vicenza, Italy.

Andrea Casadei-Gardini (A)

Department of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori, Meldola, Italy.
Department of Oncology and Haematology, University Hospital of Modena, Italy.

Luca Faloppi (L)

Medical Oncology Unit, Macerata General Hospital, Macerata, Italy.

Andrea Palloni (A)

Department of Experimental, Diagnostic and Specialty Medicine, University Hospital S. Orsola-Malpighi, Bologna, Italy.

Maria Antonietta Satolli (MA)

Department of Oncology, University of Turin, Torino, Italy.
Centro Oncologico Ematologico Subalpino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy.

Mario Scartozzi (M)

Department of Medical Oncology, University Hospital, Cagliari, Italy.

Fabrizio Citarella (F)

Department of Medical Oncology, Campus Bio-Medico University, Roma, Italy.

Stefania Eufemia Lutrino (SE)

Department of Oncology, Ospedale Vito Fazzi, Lecce, Italy.

Caterina Vivaldi (C)

Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.
Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Italy.

Nicola Silvestris (N)

Medical Oncology Unit, IRCCS Cancer Institute "Giovanni Paolo II", Bari, Italy.
Department of Biomedical Sciences and Human Oncology (DIMO), University of Bari, Italy.

Giulia Rovesti (G)

Department of Oncology and Haematology, University Hospital of Modena, Italy.

Margherita Rimini (M)

Department of Oncology and Haematology, University Hospital of Modena, Italy.

Massimo Aglietta (M)

Department of Oncology, University of Turin, Torino, Italy.
Division of Medical Oncology, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.

Giovanni Brandi (G)

Department of Experimental, Diagnostic and Specialty Medicine, University Hospital S. Orsola-Malpighi, Bologna, Italy.

Francesco Leone (F)

Division of Medical Oncology, ASL BI, Nuovo Ospedale degli Infermi, Ponderano, Italy.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH