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Record W3083386940 · doi:10.1158/1538-7445.am2020-896

Abstract 896: Enhanced sensitivity detection of replication competent lentivirus by qPCR

2020· article· en· W3083386940 on OpenAlexaff
David F. Burke, Kristine Drafahl, Clark C. Fjeld, Chad Galderisi, Cindy Spittle

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsUniversity College of the North
Fundersnot available
KeywordsLentivirusAmpliconRetrovirusVesicular stomatitis virusBiologyVirologyGenetic enhancementPlasmidChimeric antigen receptorVirusGeneComputational biologyPolymerase chain reactionGeneticsCancerViral disease

Abstract

fetched live from OpenAlex

Abstract Introduction: Chimeric antigen receptor T (CAR T) cells are an important emerging therapy for hematologic malignancies and are currently being investigated for other cancer types as well. CAR-T cells require a retrovirus or lentivirus to introduce the chimeric antigen receptor gene into the activated T cells. Safety measures are put in place by design to eliminate any chance to create replication competent virus. Multiple plasmids carrying specific components of the virus are used to reduce the chances of creating a replication competent lentivirus. Despite these measures, safety concerns have been posed by the FDA regarding use of a lentivirus for this treatment due to the potential for replication competent lentiviruses (RCL) to arise. FDA requires monitoring of both CAR T products as well as patients undergoing therapy. It has proven to be difficult to achieve acceptable detection sensitivity of the VSV-G sequence in a background of gDNA due to the high level of homology to many areas in gDNA. Methods: We have developed a new rapid and sensitive qPCR assay targeting the vesicular stomatitis virus G glycoprotein (VSV-G), an envelope protein on lentiviral vectors. Incorporation of the envelope gene would be required to generate a replication competent virus. The intended use of the validated assay is to detect and monitor for RCL presence in human blood samples collected during clinical monitoring. A validated reference assay targeting RPPH1 will be used to quantify the amount of amplifiable genomic DNA in each extracted DNA sample. The size of the amplicons are 66 and 87 base pairs for VSV-G and RPPH1 respectively. The VSV-G assay test includes one positive and one negative control per assay run. The VSV-G positive control is composed of plasmid containing the VSV-G target sequence spiked into a background of VSV-G negative human gDNA. The negative control is composed of negative gDNA without VSV-G plasmid. Results: Improved sensitivity without non-specific amplification was achieved by optimized primer and probe selection. Additionally sensitivity and specificity were enhanced by employing a step-down PCR protocol whereby the annealing and extension temperature is lowered in stepwise fashion over the first five cycles of PCR. Genomic DNA inputs up to 200ng per reaction showed high efficiency of amplification from 10 to 1e6 copies target sequence per reaction. Conclusion: This assay will provide a rapid and sensitive method for safety monitoring of patients undergoing CAR-T therapy with therapeutic cells generated using lentiviral vectors. Citation Format: David Burke, Kristine Drafahl, Clark Fjeld, Chad Galderisi, Cindy Spittle. Enhanced sensitivity detection of replication competent lentivirus by qPCR [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 896.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.005

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.

Opus teacher head0.065
GPT teacher head0.389
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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