Predictors of acute lymphopenia after radiotherapy for prostate cancer including pelvic node irradiation: results of a real-world prospective multi-centric study

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Authors: V. Vavassori, Maddalena Pavarini, Lisa Alborghetti, Stefania Aimonetto, A. Maggio, Valeria Landoni, P. Ferrari, Antonella Bianculli, Edoardo T. F. Petrucci, A. Cicchetti, Bruno Farina, M.G. Ubeira–Gabellini
+17 more Paolo Salmoiraghi, E. Moretti, B. Avuzzi, Tommaso Giandini, Fernando H. Munoz, Alessandro Magli, B. Noris Chiorda, Giuseppe Sanguineti, Justyna M. Waskiewicz, Luciana Rago, D. Cante, Giuseppe Franco Girelli, E. Villa, N. Di Muzio, T. Rancati, C.A. Fiorino, C. Cozzarini
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References: 47

Abstract

Background Acute lymphopenia (AL) is a clinically relevant concern in patients undergoing pelvic lymph-node irradiation (PNI) for prostate cancer (PCa) and reliable predictive models are not available. The purpose of the current analysis was to develop a predictive model of AL after PNI for PCa combining dosimetric and clinical information in a large, prospectively followed cohort. Materials and methods Clinical/dosimetry/blood test data from a multi-centric prospective study were available, including absolute lymphocyte count (ALC) at baseline, mid-point and radiotherapy (RT) end. Dose–volume histograms (DVHs) of the body and of pelvic bones were extracted, as well as the integral dose (ID) to the body. Lymph-nodal planning target volume (LN-PTV) and its cranial limit were also recovered. The current analysis focused on acute CTCAEv4.03 grade ≥ 3 (G3+) lymphopenia (ALC < 500/μl), defined as the lowest count between baseline and mid-point or RT end. The patient population was split into training and validation cohorts, and a multivariable logistic regression model combining DVHs and clinical information was trained and validated. Results 700/887 patients with full 3D planning data and available baseline, mid-point and RT end counts were considered. 290 patients (41.4%) experienced acute G3+ lymphopenia. Both ID and pelvic bone DVH parameters were significantly associated with the endpoint. The two best resulting models included baseline ALC (OR = 0.999, P < 0.001) and ID (Gy∗l) (OR = 1.003, P = 0.012) or baseline ALC, cranial LN-PTV limit (OR = 1.019, P < 0.001) and EQD2 to LN-PTV (OR = 1.095, P = 0.002), when replacing ID with the cranial LN-PTV limit. Conclusions Severe AL after PNI for PCa is largely modulated by baseline ALC, with an independent role of the LN-PTV cranial limit or, alternatively, of ID, with the risk increasing by 5%-10% per 10 2 Gy∗l.

Fields of Study & Subjects

Advanced Radiotherapy Techniques Prostate Cancer Diagnosis and Treatment Effects of Radiation Exposure

Publication details

Journal / source
ESMO Real World Data and Digital Oncology
Volume
11
Pages
100680–100680
Publication date
30 January 2026
Language
EN