The Characteristics of Immunoreactivity of Alpha-fetoprotein Producing Gastric Cancer
Bibliographic record
Abstract
Alphafetoprotein (AFP) producing gastric cancer (AFP-GC) is very malignant and highly metastatic compared with common gastric cancer. We encountered six patients with AFP-GC. The purpose of this study was to characterize the immunoreactivity of alpha-fetoprotein producing gastric cancer, using a panel of hepatocytic markers, including alpha-fetoprotein, hepatocyte antigen, carcinoembryonic antigen, and CD10. Five of 6 cases showed cytoplasmic reactivity for alpha-fetoprotein. Immunoreactivity with a cytoplasmic, membranous, or canalicular pattern, or a mixed pattern was found for polyclonal CEA. Positive immunostaining for hepatocyte antigen was noted in only 2 of 6 cases. Negative immunostaining was found in all 6 patients for CD10. This study demonstrated that most AFP producing gastric cancer, hepatoid or non-hepatoid, were immunoreactive for AFP and p-CEA, but non-reactive for CD10. Therefore, CD-10 might be helpful to distinguish primary hepatocellular carcinoma from AFP-GC when it metastasizes to the liver. In this small series of patients with gastric cancer, AFP production indicated the poor prognosis, regardless hepatoid or non-hepatoid.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".