A Collision Tumor With Features of Breast Cancer and Plasma Cell Myeloma as Primary Tumors
Bibliographic record
Abstract
Collision tumors, consisting of two different histological types of cancer, are rare but may have important implications, both for the patient and possibly in terms of cancer risks and predisposition. This patient has had prior invasive ductal breast cancer treated with surgery and chemotherapy 5 years earlier, but she developed a pathological hip fracture and anemia. The workup uncovered a plasma cell dyscrasia and the bone biopsy from the hip showed the collision tumor with an interface between breast cancer and plasma cell cancer. Such combination tumors may be diagnostic and therapeutic challenges, but they also raise significant questions regarding pathogenesis. Local factors such as neuro-immune crosstalk or cytokine perturbations may be at play. Alternatively, or in addition, oncogenic growth factors or the effects of prior chemotherapy may be significant. J Med Cases. 2018;9(9):309-312 doi: https://doi.org/10.14740/jmc3117w
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".