Comparison of Analytical Characteristics of Commercial and in-House Methods for DNA Isolation from Paraffin Histology Blocks
Bibliographic record
Abstract
One of the hotspots in clinical research today is molecular genetic analysis of structural DNA alterations. Working with DNA obtained from formalin-fixed and paraffin-embedded (FFPE) tissue specimens is particularly challenging, due to cross-linking and fragmentation of DNA. We performed a comparative analysis of DNA extraction methods from FFPE tissue using two in-house protocols and Qiagen (QIAamp DNA FFPE Tissue Kit) and Roche (High Pure FFPET DNA Isolation Kit) commercial kits presented in the Russian market and used in clinical practice. To assess the quantity and quality of the isolated DNA, we used the real-time PCR to rate DNA yield, the inhibited impurity content and the degree of fragmentation. Our findings may be useful for a medical laboratory that performs testing of somatic mutations for the targeted therapy selection, and researchers who specialized in tumor genome structure studies in respect to patient prognosis and prediction of the sensitivity or resistance of tumor cells to therapy.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".