Alpha-Fetoprotein Producing Breast Cancer Cells: Case Report and Review of Literature
Bibliographic record
Abstract
Abstract: Aim:In this paper we report a rare case of breast carcinoma followed by liver metastasis associated to alpha fetoprotein (AFP) secretion by tumor cells. Methods:Carcino-embryonic antigen (CEA), carbohydrate antigen (CA) 15-3, serum AFP and AFP immunohistochemistry staining were detectedusing commercial kits in 44 year-old woman with breast cancer. Results: CEA and CA 15-3 were within normal limits. AFP baseline was 14000 ng/l. There was no chronic hepatic viral disease. Biopsy revealed invasive carcinoma ductal cells. Histologic examination of the tumor showed invasive carcinoma, nuclear grade was 2, the tumour cells were negative for oestrogen and progesterone receptor positive for Her-2/neu. The immunohistochemistry stainig for AFP revealed positive reactivity. After chemotherapy, AFP level was within the normal rangeand abdominal ultrasonography showed a partial response evaluated at 50 %. The patient was in good condition at the time of our report (May 2013). Conclusion:We presume that the increased serum AFP level is responsible for the cancer evolution with good prognosis for breast cancer and poor one for gastric cancer and colon cancer.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".