Prognostic relevance of CD56 expression in multiple myeloma: A study including 107 cases treated with high-dose melphalan-based chemotherapy and autologous stem cell transplant
Bibliographic record
Abstract
CD56 is a neural adhesion molecule and expressed in 70-80% cases of multiple myeloma (MM). Lack of CD56 expression has shown to be a poor prognosis in MM patients treated with conventional chemotherapy, but its prognostic relevance in MM treated with high dose chemotherapy and autologous stem cell transplant (ASCT) is not known. CD56 expression was evaluated by immunohistochemistry on bone marrow paraffin embed specimens from 107 MM cases undergoing Melphalan-based high dose therapy and ASCT. CD56 was expressed by the myeloma cells in 71% of the patients. CD56 negative myeloma was associated with bone lesions (p = 0.032), but there was no association with any other biological or genetic risk factors including deletions 13q, p53 and IgH translocations, as evaluated by fluorescence in situ hybridization (FISH). There was no significant difference between CD56 positive and CD56 negative myeloma for progression free or overall survival (p = 0.28 and p = 0.67, respectively). In contrast to reports of CD56 in myeloma treated with conventional chemotherapy, CD56 negativity was not found to confer a poor prognosis in these patients, suggesting Melphalan-based high-dose chemotherapy and ASCT may overcome the adverse influence of CD56 negative myeloma.
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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".