Evaluation of Interleukin-8 (IL-8) Levels before and after Radiotherapy in Thyroid Carcinoma Patients
Bibliographic record
Abstract
Background: Thyroid cancer is a health concern and the most common endocrine tumor in adults with a significant increase in incidence in recent years. Objective: This study investigates the role of interleukin-8 in thyroid cancer patients before and after treatment with radiotherapy and study association of it with tumor progression and inflammatory response as part of the tumor microenvironment. Subjects and Methods: A total of 45 thyroid cancer patients (21 male and 24 female) in the educational laboratories/Medical City Hospital/Baghdad from February to April 2025. participated based on the recommendations of the specialist physician after the results of clinical examination, X-ray imaging, and laboratory tests, and 18 healthy controls participated in the study. IL-8 levels were measured before and after treatment with radiotherapy using an ELISA kit, and statistical analyses were performed to assess differences between groups while taking into account demographic characteristics Result: Thyroid cancer patients showed significantly elevated levels of interleukin-8 compared to controls; IL-8 levels increased significantly after radiotherapy, indicating an enhanced inflammatory response. Conclusion: The results emphasize the potential role of interleukin-8 as a biomarker for assessing thyroid cancer progression and response to radiotherapy, highlighting its role in the tumor microenvironment and its implications for patient management.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".