[Bone marrow immunophenotypes of 112 cases of lymphoid system malignant diseases].
Bibliographic record
Abstract
BACKGROUND & OBJECTIVE: Diagnosis of lymphocytic leukemia and non-Hodgkin's lymphoma (NHL) is based on bone marrow morphology. Immunophenotyping will make diagnosis more precise through analyzing the origin and differentiation status of tumor, which is necessary for treatment and prognosis prediction. This study was to analyze the immunophenotypic characteristics of lymphocytic leukemia and NHL with bone marrow involvement using flow cytometry (FCM). METHODS: Bone marrow specimens from 112 patients with lymphocytic leukemia or NHL with bone marrow involvement were detected by FCM using antibodies of T, B and myeloid cell series. Using CD45/SSC gating strategy, the samples were analyzed with 5 parameters (FSC, SSC, McAb1-FITC, McAb2-PE, CD45-cytochrome). RESULTS: In 45 cases of precursor B lymphoblastic leukemia/lymphoma (B-ALL/LBL), the antigens were mainly CD19, CD10, TdT, CD34, HLA-DR, and CD20. In 32 cases of precursor T lymphoblastic leukemia/lymphoma (T-ALL/LBL), the antigens were mainly CD7, CD5, cytoplasmic (Cy)CD3, TdT, CD34, surface CD3 (sCD3), and HLA-DR. Of the 77 cases of precursor ALL/LBL, 28(36.4%) expressed myeloid-associated antigens, such as CD13 and CD33; 9 (20.0%) cases of B-ALL/LBL coexpressed CD20 and CD34; 28(87.5%) cases of T-ALL/LBL coexpressed cyCD3 and TdT. Among the 35 cases of mature B-cell malignancies, 17 cases of chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) mainly expressed CD19, CD20, CD5, HLA-DR, with coexpression of CD19 and CD5; 4 cases of diffuse large B-cell lymphoma (DLBCL) mainly expressed CD19, CD20, CD10, and HLA-DR; 3 cases of Burkitt's lymphoma (BL) mainly expressed CD19, CD10, CD20, and sIgM; 1 case of mantle cell lymphoma (MCL) expressed CD5, CD19, CD20, and HLA-DR. Among the 10 mature T-cell malignancies, 5 cases of unspecialied peripheral T-cell lymphoma (PTCL) mainly expressed sCD3, CD5 and CD7, CD4 or CD8; 1 case of anaplastic large cell lymphoma (ALCL) expressed sCD3 and HLA-DR; 4 cases of NK/T-cell malignancies expressed CD56 and HLA-DR, CD4 or CD8 or CD7. Mature lymphoid system malignancies didn't express early antigens, such as CD34 and TdT, but expressed myeloid-associated antigens, especially CD13 and CD33. CONCLUSION: Multiparameter FCM can not only provide data of cell lineage and differentiation status but also detect phenotypic aberrancies, which is helpful for minimal residual disease detecting.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.003 | 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".