Microarray Analysis of Metastasis-Associated Gene Expression Profiling in a Murine Model of Thyroid Carcinoma Pulmonary Metastasis: Identification of S100A4 (Mts1) Gene Overexpression as a Poor Prognostic Marker for Thyroid Carcinoma
Bibliographic record
Abstract
Tumor cell invasion and metastasis are the hallmark of malignant neoplasm. Despite advances in the management of thyroid carcinoma and other solid tumors, metastasis continues to be the most significant cause in cancer mortality. To gain new insights into this complex process in thyroid carcinoma, we established a thyroid carcinoma cell line (ARO-met2) with high metastatic capacity to the lung by sequential passage of a human anaplastic thyroid cancer cell line (ARO) through the lung of a nude mouse. Global patterns of gene expression were analyzed in cells of the parental ARO and the ARO-met2, using Atlas human cancer 1.2 array with 1176 cancer-related genes. In total, 184 genes were differentially expressed more than 1.5 times, and 64 genes were differentially expressed over two times. Among those 64 genes, 43 were overexpressed, and 21 genes were underexpressed. Many genes whose increased expression was thought to be related to tumor progression were identified, such as c-Met, ezrin, integrin, motility-related protein-1, cadherin, and S100A4. The most highly expressed gene is the S100A4 (8-fold higher than control), which is a member of a small calcium binding protein family and is involved in the cell proliferation and cancer progression. The S100A4 overexpression in the ARO-met2 cells was later confirmed by Northern blot and real-time reverse transcriptase-PCR. Analysis of 49 thyroid tumor specimens by real-time reverse transcriptase-PCR (eight benign goiters, 36 papillary, and five anaplastic carcinomas) revealed that S100A4 overexpression was present in most advanced thyroid carcinomas and lymph node metastases, and was associated with poor prognosis. None of the benign goiters was found to have S100A4 overexpression. These data suggest that S100A4 could be used as a prognostic marker for thyroid carcinoma. Given that S100A4 is involved in tumor progression and metastasis, it may be a potential target for therapeutic intervention.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".