The gene associated with trichorhinophalangeal syndrome in humans is overexpressed in breast cancer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A comprehensive differential gene expression screen on a panel of 54 breast tumors and >200 normal tissue samples using DNA microarrays revealed 15 genes specifically overexpressed in breast cancer. One of the most prevalent genes found was trichorhinophalangeal syndrome type 1 (TRPS-1), a gene previously shown to be associated with three rare autosomal dominant genetic disorders known as the trichorhinophalangeal syndromes. A number of corroborating methodologies, including in situ hybridization, e-Northern analysis using ORF EST (ORESTES) and Unigene EST abundance analysis, immunoblot and immunofluorescence analysis of breast tumor cell lines, and immunohistochemistry, confirmed the microarray findings. Immunohistochemistry analysis found TRPS-1 protein expressed in >90% of early- and late-stage breast cancer, including ductal carcinoma in situ and invasive ductal, lobular, and papillary carcinomas. The TRPS-1 gene is also immunogenic with processed and presented peptides activating T cells found after vaccination of HLA-A2.1 transgenic mouse. Human T cell lines from HLA-A*0201+ female donors exhibiting TRPS-1-specific cytotoxic T lymphocyte activity could also be generated.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it