A Simplified Real-Time PCR Method for the Quantification of Minimal Residual Disease in Follicular Lymphoma.
Bibliographic record
Abstract
Abstract High-dose therapy and autologous stem-cell transplantation (HDT/ASCT) is associated with long remissions in relapsed follicular lymphoma (FL). Molecular remission in the graft and post ASCT is predictive of durability of remission. Thus, a simple, reliable method of quantitation of minimal residual disease (MRD) would improve prognostication in these patients. Real-time polymerase chain reaction (PCR) can quantitatively detect FL markers in blood and BM with a reproducible sensitivity of 0.01%. Fluorescent probe systems are used to perform real-time PCR; however, these techniques are expensive and do not allow melt curve analysis of the PCR product. We describe here a less expensive SYBR green detection method which also enables us to check clonal identity, and yields sensitive, reliable quantitative results for monitoring MRD. We compared our real-time PCR results with previously determined conventional nested PCR results in a series of samples collected from patients enrolled in one of our clinical trials. Methods: Patients with relapsed FL (n=14) were enrolled in a prospective study of HDT/ASCT followed by maintenance Interferon-a 3x106 U/m2 SC 3 x weekly for 2 yrs. DNA extracts were collected at enrolment from samples of lymph node, BM and blood to determine detection of BCL2/JH translocation. Stem-cell graft DNA and serial post-ASCT blood and BM DNA samples were collected. BCL2/JH was qualitatively determined by nested PCR using standard primers and analyzed by gel electrophoresis. For patients in whom BCL2/JH was not detectable, clone-specific IgH region primers were used where possible. Quantitative PCR was performed using QuantiTect SYBR Green kits. Melt curve analysis was performed to confirm amplification specificity and clonal identity of each sample. All samples were analyzed in triplicate for accuracy. Results: At a median follow-up of 75 months (9–91), 10/14 patients are alive. Of these, 3 are free from progressive disease. Median progression-free survival is 42 months; median overall survival has not been reached. We were successful in defining molecular markers for 12/14 patients. In 11/12, we were able to PCR amplify the BCL2/JH translocation. In one patient, allele-specific clonal IgH was analyzed with patient specific oligonucleotides. Median BCL2/JH contamination of stem-cell grafts was 0.1% (range 0.01% – 13%). 6 patients who had measurable graft contamination became molecularly negative in blood and BM within 12 months after ASCT. Increasing fractions of BCL2/JH positive blood and BM cells reliably predicted morphologic and clinical relapse. Correspondingly, the 3 patients free of disease progression have sustained very low levels of molecular evidence of FL. In one illustrative case, a patient had a long-term low-level persistence of tumour cells in BM and blood with no clinical symptoms for 70 months post-ASCT. At 76 months there was a 10-fold increase in the quantity of PCR product in both BM and blood. Radiological evidence of relapse was observed 3 months later. The patient underwent spontaneous disease regression, which was paralleled by a 10-fold decrease in PCR product quantity at 82 months. Conclusions: Our simplified method of detection using quantitative PCR yields reliable measurements of graft contamination and MRD post ASCT, which may be useful in predicting patient relapse.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".