Urinary cytokines/chemokines pattern in patients with painful bone metastases undergoing external beam radiotherapy experiencing pain flare
Bibliographic record
Abstract
BACKGROUND: External beam radiotherapy (EBRT) is a mainstay for treatment of painful bone metastases. Transient worsening of pain ("pain flare") occurs in 40% of patients. We investigated the pathophysiology of pain flare through assessment of changes in urinary cytokines/chemokines in patients receiving EBRT for painful bone metastases. METHODS: Urine samples were collected from patients receiving a single 8 Gy fraction for painful bone metastases preparation, day 1 or 2 and on an additional day between days 3 to 5 post radiation. Patients completed a standardized pain and analgesic use diary daily for 10 days following radiation. Patients were deemed to have pain flare if they had a two-point increase from baseline worst pain on 0-10 scale and no decrease in analgesic intake or a 25% increase in analgesic intake with no decrease in worst pain. The Millipore Milliplex 42-Plex Cyto-kine/Chemokine Kit™ was used to measure urinary levels of a panel of cytokines/chemokines. RESULTS: Forty-six patients consented to the study of which 28 were evaluable (complete urine and diary data), and 83/84 urine samples were available for analysis. Pain flare was experienced by 11 patients (39%). The following cytokines/chemokines were detectable in at least 50% of the patients: EGF, fractalkine, GRO, IL-4, IL-8, interferon gamma induced protein 10 (IP-10), MCP-1, macrophage derived chemokine (MDC), PDGF-AA, sIL-2Ra, TGF-Alpha, VEGF. Comparing patients with or without pain flare EGF, fractalkine, GRO, IL-8, IP-10, MCP-1, MDC, sIL-2Ra, and TGF-alpha increased following radiation in both groups. Patients with pain flare have significant lower levels on IL-8, IP-10, and MDC over time. No specific time trend was noticed. CONCLUSIONS: Patients who experience pain flare appear to have a different pattern in urinary cytokine/chemokine levels than patients without pain flare. A larger study is required to confirm the possible role of cytokines/chemokines in predisposition to and/or the cause of pain flare following radiation to painful bone metastases.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".