Stress, Immunity, and Cervical Cancer: Biobehavioral Outcomes of a Randomized Clinical Trail
Bibliographic record
Abstract
PURPOSE: Cancer diagnosis and treatment imparts chronic stressors affecting quality of life (QOL) and basic physiology. However, the capacity to increase survival by improving QOL is controversial. Patients with cervical cancer, in particular, have severely compromised QOL, providing a population well-suited for the evaluation of novel psychosocial interventions and the exploration of mechanisms by which modulation of the psychoneuroimmune axis might result in improved clinical outcomes. EXPERIMENTAL DESIGN: A randomized clinical trial was conducted in cervical cancer survivors that were enrolled at >or=13 and <22 months after diagnosis (n=50), comparing a unique psychosocial telephone counseling (PTC) intervention to usual care. QOL and biological specimens (saliva and blood) were collected at baseline and 4 months post-enrollment. RESULTS: The PTC intervention yielded significantly improved QOL (P=0.011). Changes in QOL were significantly associated with a shift of immune system T helper type 1 and 2 (Th1/Th2) bias, as measured by IFN-gamma/interleukin-5 ELISpot T lymphocyte precursor frequency; improved QOL being associated with increased Th1 bias (P=0.012). Serum interleukin-10 and the neuroendocrine variables of cortisol and dehydroepiandrosterone revealed trends supporting this shift in immunologic stance and suggested a PTC-mediated decrease of the subject's chronic stress response. CONCLUSIONS: This study documents the utility of a unique PTC intervention and an association between changes in QOL and adaptive immunity (T helper class). These data support the integration of the chronic stress response into biobehavioral models of cancer survivorship and suggests a novel mechanistic hypotheses by which interventions leading to enhanced QOL could result in improved clinical outcome including survival.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 teacher head, 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".