α-Methylacyl CoA racemase (P504S): overview and potential uses in diagnostic pathology as applied to prostate needle biopsies
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
The diagnosis of prostatic adenocarcinoma remains dependent on the recognition of basic haematoxylin and eosin criteria. The discovery of alpha-methylacyl CoA racemase/P504S (AMACR/P504S) overexpression in prostate cancer represents a triumph of high throughput microarray technology, and is a powerful demonstration of how this methodology can be used to facilitate the rapid development of diagnostically relevant antibodies. Immunohistochemistry with anti-AMACR/P504S is useful for detecting prostate cancer in the full range of prostate specimens encountered in surgical pathology, be they needle biopsies, transurethral resection of prostate chips, or prostatectomies. In particular, studies to date with AMACR/P504S clearly demonstrate the ability of this marker to support a diagnosis of malignancy in prostate needle biopsies. This is particularly true when it is combined with negative staining for a basal cell marker, such as 34betaE12 or p63. Although it has limitations with respect to sensitivity and specificity, AMACR/P504S will no doubt become a standard adjunctive stain used by pathologists seeking to reach a definitive diagnosis in prostate biopsies considered to be atypical, but not diagnostic of malignancy on haematoxylin and eosin sections alone.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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