ArticleESMO real world data and digital oncology2026
Predictors of acute lymphopenia after radiotherapy for prostate cancer including pelvic node irradiation: results of a real-world prospective multi-centric study.
Article in ESMO real world data and digital oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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, 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
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