Abstract 943: Characterization of RET and integrin signaling in thyroid tumors
Bibliographic record
Abstract
Abstract The REarranged in Transfection (RET) tyrosine kinase is important during development of neural crest derived tissues such as the enteric and sympathetic nervous systems, but is also activated in multiple human tumour types. Activating mutations of RET play an important role in thyroid cancers including both papillary thyroid carcinoma (PTC) and medullary thyroid carcinoma (MTC). More broadly, recent studies have also shown that RET may be active in other tumour types such as pancreatic and breast cancers, and that the overexpression and activation of RET may be linked to more aggressive disease. In order to explore this link, we have investigated the expression of RET in a large cohort of over 400 thyroid tumour samples of multiple histologies, ranging from benign lesions through to aggressive, metastatic disease by immunhistochemistry using a thyroid tissue microarray. Our data suggest that RET expression may correlate with more aggressive phenotype across a broader spectrum of tumours than previously predicted. We are currently investigating this association further; first by examining the expression of two major RET protein isoforms, RET9 and RET51, in this panel of tumours, and second, by investigating the coexpression of RET with another group of proteins associated with tumour progression, the integrin family. In preliminary studies, we have evaluated RET coexpression with two integrin subunits, ITGB1 and ITGB3. Our data suggest correlation between tumour aggressiveness and coexpression of RET with these integrin subunits. Together, our data provides insight on the role of RET in increasing aggressiveness over a range of tumours. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 943. doi:1538-7445.AM2012-943
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| 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) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".