FTA Cards for Preservation of Nucleic Acids for Molecular Assays: A Review on the Use of Cytologic/Tissue Samples
Bibliographic record
Abstract
CONTEXT: - Traditional methods for storing histologic and cytologic specimens for future use in molecular assays have consisted of either snap-freezing with cryopreservation or formalin-fixing, paraffin-embedding the samples. Although snap-freezing with cryopreservation is recommended for better preservation of nucleic acids, the infrastructure and space required for archiving impose challenges for high-volume pathology laboratories. Cost-effective, long-term storage at room temperature; relatively easy shipment; and standardized handling can be achieved with formalin-fixed, paraffin-embedded samples, but formalin fixation induces fragmentation and chemical modification of nucleic acids. Advances in next-generation sequencing platforms, coupled with an increase in diagnostic, prognostic, and predictive molecular biomarkers have created a demand for high-quality nucleic acids. To address issues of the quality of nucleic acid and logistics in sample acquisition, alternatives for specimen preservation and long-term storage have been described and include novel universal tissue fixatives, stabilizers, and technologies. OBJECTIVE: - To collect, retrieve, and review information from studies describing the use of nucleic acids recovered from cytologic/tissue specimens stored on Flinders Technology Associates (FTA, GE Whatman, Maidstone, Kent, United Kingdom) cards for downstream molecular applications. DATA SOURCES: - An electronic literature search in the PubMed (National Center for Biotechnology Information, Bethesda, Maryland) database allowed the selection of manuscripts addressing the use of FTA cards for storage of cytologic samples for molecular analysis. Only articles published in English were retrieved. CONCLUSIONS: - The use of FTA cards is a versatile method for fostering multicenter, international collaborations and clinical trials that require centralized testing, long-distance shipment, and high-quality nucleic acids for molecular techniques. Studies with controlled temperature are required to test the quality of recovered RNA after long-term storage.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.015 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".