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Record W4416745794 · doi:10.1007/s12672-025-04027-4

Immunological factors underlying radiation-induced toxicity in prostate cancer patients: a systematic review

2025· review· en· W4416745794 on OpenAlex
Lucas Mose, Hady Aboelroos, Adam Zabini, Cristian Fernández-Palomo, Thomas Zilli, Alan Dal Pra, Osama Mohamad, Daniel M. Aebersold, Verdiana Trappetti, Mohamed Shelan

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDiscover Oncology · 2025
Typereview
Languageen
FieldMedicine
TopicEffects of Radiation Exposure
Canadian institutionsnot available
Fundersnot available
KeywordsProstate cancerToxicityImmunotherapyCancerImmune systemRisk factor

Abstract

fetched live from OpenAlex

BACKGROUND: Radiotherapy (RT) represents a well-established treatment modality for patients diagnosed with prostate cancer. Despite a low toxicity profile, a small proportion of patients suffer long-term effects with a decrease in quality of life. Several risk factors for the prediction of radiation-induced toxicity have been evaluated. This study aimed to systematically review the current literature on the immunological factors underlying radiation-induced toxicity in prostate cancer patients undergoing RT. METHODS: A comprehensive search in three databases (PubMed, Web of Science, Scopus) was conducted. Eligible papers reported on toxicity and immunological factors in patients treated with RT with curative intent. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed in each step. The quality of the included articles was assessed utilizing the Newcastle Ottawa Quality Assessment Scale (NOS). RESULTS: A total of 15 studies, encompassing 1237 patients, were included, with a median age ranging from 62 to 74 years. Ten studies reported on primary RT only, while five assessed both primary and postoperative RT. Tumor stage and lymph node involvement varied among studies. Utilized radiation treatment modalities were intensity-modulated radiotherapy, stereotactic body radiotherapy, three-dimensional conventional radiotherapy, and low-dose rate brachytherapy. Androgen deprivation therapy was administered and reported inconsistently. Immunological factors and assessed toxicities varied between studies. Thus, reports on immunological factors and predictive biomarkers remain scarce and inconclusive. Besides lymphocyte counts, the most common molecules that significantly correlated with RT-induced toxicity in prostate cancer patients were interleukin-6 (IL-6), interleukin-2 (IL-2), tumor necrosis factor-α (TNF-α), and transforming growth factor-β1 (TGF-β1). CONCLUSION: Publications on immunological factors as predictors of RT-induced toxicity remain rare and exhibit a high degree of variability in treatment, toxicity, and immunological factor assessment. Yet, IL-6, IL-2, TNF-α, and lymphocyte counts are the most consistent markers for predicting toxicity in prostate cancers post-RT. Future preclinical and clinical studies should corroborate these findings, with the final goal of improving patient treatment outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.413
Teacher spread0.365 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it