Association of fatigue and insomnia with inflammatory cytokine and hematopoetic stem cell levels in breast cancer patients undergoing adjuvant radiation therapy.
Bibliographic record
Abstract
e12048 Background: Fatigue and insomnia are frequent conditions experienced by breast cancer patients during adjuvant radiation therapy (RT). Our group reported that fatigue correlates with reduced CD34+ circulating hematopoetic stem cell (HSC) levels. Our current study examined the role of inflammatory cytokines in mediating fatigue and insomnia following adjuvant RT. Methods: Phlebotomies were conducted on 148 breast cancer patients undergoing adjuvant RT at five time points: prior to RT (D1), after two (D2) and five (D5) days of treatment, during the final week of RT (Df), and one month post-RT completion (M1). CD34+, CD45+, circulating blood cell (CBC), and 17 inflammatory cytokine levels were assessed. Patients also completed questionnaires at each time point, including the multidimensional fatigue inventory (MIF-21), insomnia severity index (ISI), and hospital anxiety and depression scale (HADS). Results: CD34+, CD45+ and CBC levels decreased during treatment with adjuvant RT, with the lowest levels observed at Df (p<0.001). General fatigue significantly worsened throughout treatment from D1 to Df, returning to baseline at M1, (p<0.001; adjusted for insomnia, depression and anxiety). General fatigue worsened as CD34+ counts, hemoglobin and CBCs increased (p<0.001). Insomnia increased with reduced CD34+, CD45+ and CBCs (p<0.05). TGF-β1, MCP-1, MMP-2, IL-1ra and IFN-α2a cytokine expression varied throughout RT (p<0.01), most significantly at Df. Elevated MCP-1, TNF-RII and TNF-a levels correlated with worsening general fatigue, increased insomnia, and reduced activity and motivation (p<0.001). MMP-2 increased as IL-1ra, CD34+, CD45+ and CBC counts decreased (p<0.001). Further, the 52 patients who received prior adjuvant chemotherapy had elevated levels of fatigue, insomnia and anxiety, which correlated with high HSCs levels. Conclusions: Our findings demonstrate that fatigue and insomnia are associated with reduced HSCs and increased MCP-1, TNF-RII and TNF-a pro-inflammatory cytokines. This examination of the effect of RT on fatigue and insomnia is one of the most comprehensive longitudinal clinical evaluations of its kind.
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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 | 0.000 |
| 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".