Baseline prognostic predictors in classical Hodgkin Lymphoma: a retrospective, single-center analysis on patients treated with PET/CT-guided ABVD.

ABVD Hodgkin Lymphoma IPS LMR NLR

Journal

Frontiers in oncology
ISSN: 2234-943X
Titre abrégé: Front Oncol
Pays: Switzerland
ID NLM: 101568867

Informations de publication

Date de publication:
2024
Historique:
received: 17 04 2024
accepted: 14 08 2024
medline: 20 9 2024
pubmed: 20 9 2024
entrez: 20 9 2024
Statut: epublish

Résumé

The identification of baseline prognostic factors in Classical Hodgkin Lymphoma could help in tailoring a risk-based approach as the therapeutic landscape expands. Currently, the International Prognostic Score (IPS) represents the most used prediction tool in clinical practice, but other potential baseline risk predictors have been identified. We performed a retrospective analysis in a cohort of 274 patients treated with Among the considered risk factors, stage IV disease (HR 1.83), leukocytosis (HR 2.28), anemia (HR 3.23) and low LMR (HR 2.01) significantly predicted PFS, whereas male sex (HR 2.93), stage IV disease (HR 3.00) and lymphopenia (HR 7.84) significantly predicted OS. A 4 variable and a 3 variable prognostic system was subsequently proposed for PFS and OS, respectively. In both cases, a stark decrease in the survival probability was documented as the score increased. Moreover, by selecting only the significant IPS items and considering a more recently proposed prognostic factor (LMR) we were able to better identify patients at higher risk of relapsing after PET/CT-guided ABVD. Although the IPS was still able to identify a subgroup of high-risk patients within our cohort of individuals treated with PET/CT-guided ABVD, not all the risk factors that it considers were found to have an impact on survival times. Moreover, by selecting only the significant IPS items and considering a more recently proposed prognostic factor (LMR) we were able to better identify patients at higher risk of relapse, in an effort to contribute to the building of a modern risk prediction tool that can help guide treatment choices.

Identifiants

pubmed: 39301543
doi: 10.3389/fonc.2024.1419118
pmc: PMC11410762
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1419118

Informations de copyright

Copyright © 2024 Cellini, Cavarretta, Angotzi, Ruocco, Serafin, Danesin, Pizzi, Gregianin, Vio, Crimì, Vianello, Piazza, Trentin and Visentin.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Alessandro Cellini (A)

Hematology Unit, Department of Medicine, University of Padua, Padua, Italy.

Chiara Adele Cavarretta (CA)

Hematology Unit, Department of Medicine, University of Padua, Padua, Italy.

Francesco Angotzi (F)

Hematology Unit, Department of Medicine, University of Padua, Padua, Italy.

Valeria Ruocco (V)

Hematology Unit, Department of Medicine, University of Padua, Padua, Italy.

Andrea Serafin (A)

Hematology Unit, Department of Medicine, University of Padua, Padua, Italy.

Nicolò Danesin (N)

Hematology Unit, Department of Medicine, University of Padua, Padua, Italy.

Marco Pizzi (M)

Surgical Pathology and Cytopathology Unit, Department of Medicine, University of Padua, Padua, Italy.

Michele Gregianin (M)

Nuclear Medicine Unit, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy.

Stefania Vio (S)

Radiology Unit, Department of Medicine, University of Padua, Padua, Italy.

Filippo Crimì (F)

Institute of Radiology, Department of Medicine, University of Padua, Padua, Italy.

Federica Vianello (F)

Radiotherapy Unit, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy.

Francesco Piazza (F)

Hematology Unit, Department of Medicine, University of Padua, Padua, Italy.

Livio Trentin (L)

Hematology Unit, Department of Medicine, University of Padua, Padua, Italy.

Andrea Visentin (A)

Hematology Unit, Department of Medicine, University of Padua, Padua, Italy.

Classifications MeSH