IGF2 is Highly Expressed in Pediatric Undifferentiated Sarcomas and Reveals Two Distinct Cytoplasmic Trafficking Patterns
Bibliographic record
Abstract
Pediatric undifferentiated soft tissue sarcomas (USTSs) are tumors composed of primitive mesenchymal cells. As such, they form an attractive model for studying the early events in sarcoma development. In an effort to better understand the critical molecular aberrations leading to sarcoma development, gene expression array analysis and post-array validation techniques were applied to several USTSs; the results were consistent with upregulation of the excitatory components of the insulin-like growth factor (IGF) pathway. Particularly high expression of the insulin-like growth factor 2 (IGF2) ligand was seen and confirmed by real-time reverse transcriptase-polymerase chain reaction. Immunohistochemistry performed using antibodies against IGF2 revealed overexpression of the IGF2 protein in 19 of 21 (90%) USTSs and revealed 2 distinct staining patterns, 1 in which there was diffuse cytoplasmic staining (16/19) and 1 in which there was punctate perinuclear positivity (3/19). Using ultrastructural immunogold localization of IGF2, it was determined that IGF2 was primarily localized to Golgi-derived vesicles and multivesicular bodies in tumor cells showing the punctate pattern, and to both the cytoplasm and plasma membrane of tumor cells showing the diffuse pattern. The results suggest that upregulation of the IGF pathway in pediatric USTSs is a critical early event in the development of sarcomas. Furthermore, findings from the immunocytochemical and immunogold analyses confirm the presence of 2 different cytoplasmic trafficking patterns and storage motifs of IGF2 within this type of tumor. Given that in one subcellular pattern the IGF2 protein does not appear to reach the membrane, these findings may have functional significance.
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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) | 0.001 | 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) | 0.000 | 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".