ReviewClinical and translational radiation oncology2026
Radiation-induced lymphopenia: A data compilation to unveil relevant factors and mitigation strategies.
Review in Clinical and translational radiation oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Review
- Review
- Immune-sparing radiotherapy in solid tumors: radiation-induced lymphopenia, circulating immune-cell dose, and biomarker-guided optimization of radioimmunotherapy.Journal of cancer research and clinical oncology · 2026Review
- Radiotherapy and tertiary lymphoid structures: balancing immune activation and immune damage in cancer immunotherapy.Molecular cancer · 2026Review
- Lymphocyte Kinetics and Outcomes After Comprehensive Involved-Site Radiotherapy for Oligometastases.Cancers · 2026Article
- The prognostic value of lymphocyte-albumin-neutrophil ratio variability in patients with breast cancer undergoing radiotherapy.Frontiers in oncology · 2026Article
- Combined carbon ion radiotherapy and immunotherapy: leveraging the immunological advantages of carbon ion.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Radiation-induced lymphopenia (RIL) is a common complication of radiation therapy (RT) that can undermine antitumor immunity and diminish the efficacy of immunotherapy. While RIL is a known predictor of poor outcomes, its underlying mechanisms and key determinants remain poorly characterized. Materials and Methods: We systematically compiled and quantitatively analyzed published data on absolute lymphocyte count (ALC) dynamics during and after RT. A total of 142 ALC curves from 52 publications were digitized and integrated into a standardized database. This database encompasses various RT modalities, including therapy with X-rays or charged particles, as well as extracorporeal irradiation of blood (ECIB). Results: Analysis revealed consistent lymphocyte depletion during treatment. By the end of RT, median ALCs declined to 24% (range: 1.5-78%) of baseline for intracorporeal exposure and 10% (range: 1-60%) for ECIB. Recovery was incomplete and cancer-type-dependent, reaching only a median of 55% (range: 33-90%) of baseline within one year. We identified baseline ALC, planning target volume (PTV), and dosimetric parameters as key predictors of severe lymphopenia. A low rate of lymphocyte depletion during treatment was frequently associated with impaired long-term recovery. Particle therapy was associated with an average 11% higher end-of-treatment ALC compared to photon therapy, underscoring the lymphocyte-sparing benefit of reduced integral dose. Conclusions: This work establishes a comprehensive, quantitative foundation for understanding RIL. The developed ALC database supports mechanistic investigation and enables model-based approaches to predict lymphocyte dynamics, guiding the design of lymphocyte-sparing treatment strategies, including particle therapy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.