DNA Superresolution Structure of Reed–Sternberg Cells Differs Between Long‐Lasting Remission Versus Relapsing Hodgkin's Lymphoma Patients
Bibliographic record
Abstract
Recent developments in microscopy have led to superresolution microscopy images of cells. Structured illumination microscopy was used before to reveal new details in the DNA structure and the structure of the DNA-free space in the DAPI-stained cell nuclei of the Hodgkin's lymphoma HDLM-2 cell line. This study extends this technology to primary pre-treatment classical Hodgkin's lymphoma samples of ten patients. Significant differences in both the DNA structure and the structure of the DNA-free space were detected between lymphocytes and malignant cells. Both types of structures were similar for lymphocytes of different patients. When the patients were un-blinded and grouped based on their clinical outcome, either non-relapsed or relapsed, a significant difference in the DNA structure of their Reed-Sternberg (RS) cells was found. Since, RS cells develop from mono-nucleated Hodgkin (H) cells, these data suggest distinct architectural restructuring of nuclei during RS cell formation in patients going to long-lasting remission versus relapse. J. Cell. Biochem. 117: 1633-1637, 2016. © 2015 Wiley Periodicals, Inc.
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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 | 0.001 | 0.000 |
| 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) | 0.002 | 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".