Cell of origin in diffuse large B-cell lymphoma in systemic lupus erythematosus: molecular and clinical factors associated with survival
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: SLE is associated with increased risk of diffuse large B-cell lymphoma (DLBCL). DLBCL is routinely classified by cell of origin (COO), with germinal centre B-cell (GCB) being more common and indicating better prognosis in the general population. We studied COO subtyping in patients with SLE diagnosed with DLBCL and their survival. PATIENTS AND METHODS: We evaluated 20 cases of SLE with DLBCL. Immunohistochemistry analysis was performed (BCL2, MYC, BCL6, CD10, CD20, FOXP1, GCET1, MUM1) in tissue microarrays. We examined associations between molecular and clinical features, including overall survival. RESULTS: Of the 20 DLBCL SLE cases, 12/20 cases (60%) were classified as non-GCB using Hans or Choi algorithms. MYC and BCL2 protein expression was positive in 6/20 (30%) and 8/20 (40%) SLE cases, respectively, with 2/20 (10%) co-expressing both markers. Seven (7/20) had only extranodal involvement at DLBCL diagnosis. As expected, non-GCB cases had worse survival. Cases presenting exclusively with extranodal disease were associated with shorter SLE duration and better survival despite higher BCL2 protein expression. CONCLUSIONS: We present novel data characterising DLBCL in SLE. Sixty per cent of the DLBCL in patients with SLE were non-GCB. The nodal and extranodal distribution in SLE was similar to what is known in the general population, but extranodal disease occurred more often with short SLE duration and was associated with longer overall survival. More research on cancer in SLE is the key to further understanding the complex interplay between cancer and the immune system.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 it