Comparative analysis of salivary cytokine profiles in newly diagnosed pediatric patients with cancer and healthy children
Bibliographic record
Abstract
Salivary cytokines have the potential to serve as biomarkers for evaluating cancer progression and treatment response in specific cancer types. This study explored salivary cytokine profiles in pediatric cancer patients and healthy controls, examining changes during chemotherapy. We conducted a prospective study involving newly diagnosed cancer patients and healthy controls under 19 years old. Saliva samples were collected at diagnosis, and three and six months post-diagnosis for cancer patients, while healthy controls provided samples at a single time point. Cytokine levels were analyzed using Luminex technology. Our study included 19 cancer patients (10 with leukemia, 5 with lymphoma, and 4 with solid tumors) and 128 healthy controls aged 4 to 18 years. At diagnosis, patients with leukemia and solid tumors showed elevated levels of interferon-γ, interleukin (IL)-1α, IL-1β, IL-4, IL-5, IL-8, IL-10, and tumor necrosis factor. After three months, IL-6, IL-10, and inducible protein-10 levels significantly increased, while IL-1α, IL-1β, and IL-8 rose by six months. These findings indicate that salivary cytokines are elevated at diagnosis and during initial treatment phases in pediatric cancer patients, highlighting saliva's potential as a noninvasive medium for early detection of systemic diseases in children.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| 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) | 0.000 | 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".