Pelvic bone marrow dose-volume predictors of late lymphopenia following pelvic lymph node radiation therapy for prostate cancer.

Hematological toxicity Lymphopenia NTCP Predictive models Prostate cancer Radiotherapy

Journal

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
ISSN: 1879-0887
Titre abrégé: Radiother Oncol
Pays: Ireland
ID NLM: 8407192

Informations de publication

Date de publication:
17 Mar 2024
Historique:
received: 02 02 2024
revised: 12 03 2024
accepted: 14 03 2024
medline: 20 3 2024
pubmed: 20 3 2024
entrez: 19 3 2024
Statut: aheadofprint

Résumé

Given the substantial lack of knowledge, we aimed to assess clinical/dosimetry predictors of late hematological toxicity on patients undergoing pelvic-nodes irradiation (PNI) for prostate cancer (PCa) within a prospective multi-institute study. Clinical/dosimetry/blood test data were prospectively collected including lymphocytes count (ALC) at baseline, mid/end-PNI, 3/6 months and every 6 months up to 5-year after PNI. DVHs of the Body, ileum (BMILEUM), lumbosacral spine (BMLS), lower pelvis (BMPELVIS), and whole pelvis (BMTOT) were extracted. Current analysis focused on 2-year CTCAEv4.03 Grade ≥ 2 (G2+) lymphopenia (ALC < 800/μL). DVH parameters that better discriminate patients with/without toxicity were first identified. After data pre-processing to limit overfitting, a multi-variable logistic regression model combining DVH and clinical information was identified and internally validated by bootstrap. Complete data of 499 patients were available: 46 patients (9.2 %) experienced late G2+ lymphopenia. DVH parameters of BMLS/BMPELVIS/BMTOT and Body were associated to increased G2+ lymphopenia. The variables retained in the resulting model were ALC at baseline [HR = 0.997, 95 %CI 0.996-0.998, p < 0.0001], smoke (yes/no) [HR = 2.9, 95 %CI 1.25-6.76, p = 0.013] and BMLS-V ≥ 24 Gy (cc) [HR = 1.006, 95 %CI 1.002-1.011, p = 0.003]. When acute G3+ lymphopenia (yes/no) was considered, it was retained in the model [HR = 4.517, 95 %CI 1.954-10.441, p = 0.0004]. Performances of the models were relatively high (AUC = 0.87/0.88) and confirmed by validation. Two-year lymphopenia after PNI for PCa is largely modulated by baseline ALC, with an independent role of acute G3+ lymphopenia. BMLS-V24 was the best dosimetry predictor: constraints for BMTOT (V10Gy < 1520 cc, V20Gy < 1250 cc, V30Gy < 850 cc), and BMLS (V24y < 307 cc) were suggested to potentially reduce the risk.

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
Given the substantial lack of knowledge, we aimed to assess clinical/dosimetry predictors of late hematological toxicity on patients undergoing pelvic-nodes irradiation (PNI) for prostate cancer (PCa) within a prospective multi-institute study.
MATERIALS AND METHODS METHODS
Clinical/dosimetry/blood test data were prospectively collected including lymphocytes count (ALC) at baseline, mid/end-PNI, 3/6 months and every 6 months up to 5-year after PNI. DVHs of the Body, ileum (BMILEUM), lumbosacral spine (BMLS), lower pelvis (BMPELVIS), and whole pelvis (BMTOT) were extracted. Current analysis focused on 2-year CTCAEv4.03 Grade ≥ 2 (G2+) lymphopenia (ALC < 800/μL). DVH parameters that better discriminate patients with/without toxicity were first identified. After data pre-processing to limit overfitting, a multi-variable logistic regression model combining DVH and clinical information was identified and internally validated by bootstrap.
RESULTS RESULTS
Complete data of 499 patients were available: 46 patients (9.2 %) experienced late G2+ lymphopenia. DVH parameters of BMLS/BMPELVIS/BMTOT and Body were associated to increased G2+ lymphopenia. The variables retained in the resulting model were ALC at baseline [HR = 0.997, 95 %CI 0.996-0.998, p < 0.0001], smoke (yes/no) [HR = 2.9, 95 %CI 1.25-6.76, p = 0.013] and BMLS-V ≥ 24 Gy (cc) [HR = 1.006, 95 %CI 1.002-1.011, p = 0.003]. When acute G3+ lymphopenia (yes/no) was considered, it was retained in the model [HR = 4.517, 95 %CI 1.954-10.441, p = 0.0004]. Performances of the models were relatively high (AUC = 0.87/0.88) and confirmed by validation.
CONCLUSIONS CONCLUSIONS
Two-year lymphopenia after PNI for PCa is largely modulated by baseline ALC, with an independent role of acute G3+ lymphopenia. BMLS-V24 was the best dosimetry predictor: constraints for BMTOT (V10Gy < 1520 cc, V20Gy < 1250 cc, V30Gy < 850 cc), and BMLS (V24y < 307 cc) were suggested to potentially reduce the risk.

Identifiants

pubmed: 38503355
pii: S0167-8140(24)00152-X
doi: 10.1016/j.radonc.2024.110230
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110230

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Maddalena Pavarini (M)

IRCCS San Raffaele Scientific Institute, Medical Physics Dept, Milano, Italy.

Lisa Alborghetti (L)

IRCCS San Raffaele Scientific Institute, Medical Physics Dept, Milano, Italy.

Stefania Aimonetto (S)

Ospedale Regionale Parini-AUSL Valle d'Aosta, Medical Physics Dept, Aosta, Italy.

Angelo Maggio (A)

Istituto di Candiolo - Fondazione del Piemonte per l'Oncologia IRCCS, Medical Physics Dept, Candiolo, Italy.

Valeria Landoni (V)

IRCCS Istituto Nazionale Tumori Regina Elena, UOSD Laboratorio di Fisica Medica e Sistemi Esperti, Roma, Italy.

Paolo Ferrari (P)

Comprensorio Sanitario di Bolzano, Medical Physics Dept, Bolzano, Italy.

Antonella Bianculli (A)

IRCCS Crob, Medical Physics Dept, Rionero in Vulture, Italy.

Edoardo Petrucci (E)

ASL TO4 Ospedale di Ivrea, Medical Physics Dept, Ivrea, Italy.

Alessandro Cicchetti (A)

Fondazione IRCCS Istituto Nazionale dei Tumori, Unit of Data Science, Milano, Italy.

Bruno Farina (B)

Ospedale degli Infermi, Medical Physics Dept, Biella, Italy.

Maria Giulia Ubeira Gabellini (MGU)

IRCCS San Raffaele Scientific Institute, Medical Physics Dept, Milano, Italy.

Paolo Salmoiraghi (P)

Cliniche Gavazzeni-Humanitas, Medical Physics Dept, Bergamo, Italy.

Eugenia Moretti (E)

Azienda sanitaria universitaria Friuli Centrale, Medical Physics Department, Udine, Italy.

Barbara Avuzzi (B)

Fondazione IRCCS Istituto Nazionale dei Tumori, Radiotherapy Department, Milano, Italy.

Tommaso Giandini (T)

Fondazione IRCCS Istituto Nazionale dei Tumori, Medical Physics Department, Milano, Italy.

Fernando Munoz (F)

Ospedale Regionale Parini-AUSL Valle d'Aosta, Department of Radiation Oncology, Aosta, Italy.

Alessandro Magli (A)

Azienda Ospedaliero Universitaria S. Maria della Misericordia, Department of Radiotherapy, Udine, Italy.

Giuseppe Sanguineti (G)

IRCCS Regina Elena National Cancer Institute, Department of Radiation Oncology, Roma, Italy.

Justyna Magdalena Waskiewicz (J)

Comprensorio Sanitario di Bolzano, Radiotherapy, Bolzano, Italy.

Luciana Rago (L)

IRCCS Crob, Radiotherapy, Rionero in Vulture, Italy.

Domenico Cante (D)

ASL TO4 Ospedale di Ivrea, Radiotherapy, Ivrea, Italy.

Giuseppe Girelli (G)

Ospedale degli Infermi, Department of Radiotherapy, Biella, Italy.

Vittorio Vavassori (V)

Cliniche Gavazzeni-Humanitas, Radiotherapy Dept, Bergamo, Italy.

Nadia Gisella Di Muzio (NG)

Vita-Salute San Raffaele University, Milano, Italy; IRCCS San Raffaele Scientific Institute, Department of Radiation Oncology, Milano, Italy.

Tiziana Rancati (T)

Fondazione IRCCS Istituto Nazionale dei Tumori, Unit of Data Science, Milano, Italy.

Cesare Cozzarini (C)

IRCCS San Raffaele Scientific Institute, Department of Radiation Oncology, Milano, Italy.

Claudio Fiorino (C)

IRCCS San Raffaele Scientific Institute, Medical Physics Dept, Milano, Italy. Electronic address: fiorino.claudio@hsr.it.

Classifications MeSH