Alpha 1 antichymotrypsin is aberrantly expressed during melanoma progression and predicts poor survival for patients with metastatic melanoma
Bibliographic record
Abstract
Prediction of long term survival outcomes for melanoma patients is not only critical clinically for patient management but also highly valuable for patient risk stratification in evaluation of new melanoma therapies in clinical trials.For patients with primary melanoma (PM), the most widely used current prognostic factors include Breslow tumor thickness, Clark level of invasion for thin melanomas, mitotic index, and ulceration status.For metastatic melanoma (MM) patients, there are no well established prognostic systems, although the extent of metastasis (local regional versus visceral) and serum lactate dehydrogenase (LDH) levels (Balch et al., 2009) were known to influence patients' survival.In general, the prognostication achieved using these methods are imprecise, especially for patients with lymph node and distant metastasis.Alpha 1 antichymotrypsin, a serine protease inhibitor (serpin), was found to be aberrantly expressed in tissues of MM during gene expression profiling experiments (Zhou et al., 2005), and in serum of xenografted mice carrying human MM cell line (Kondo and Ohsawa,
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".