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Record W2886253811 · doi:10.1158/1538-7445.am2018-854

Abstract 854: Validation of a viability assay for assessing radiation response and investigating drug/radiation combinations

2018· article· en· W2886253811 on OpenAlexaff
Meghan Lambie, Venkata Manem, Benjamin Haibe‐Kains, Scott V. Bratman

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldMedicine
TopicRadiomics and Machine Learning in Medical Imaging
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsClonogenic assayViability assayMedicineIonizing radiationRadiosensitivityRadiation therapyCancerCancer researchRadiosensitizerTherapeutic indexOncologyPharmacologyDrugBiologyIn vitroInternal medicineIrradiation

Abstract

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Abstract Purpose: Radiotherapy (RT) is frequently used either alone or in combination with chemotherapy for curative treatment of squamous cell carcinomas (SCC) originating from the head and neck, lung, esophagus, and cervix. Treatment outcomes for SCCs are heterogeneous, in part due to variable degrees of resistance to ionizing radiation and modest benefit of existing radiosensitizing drugs. Preclinical research into intrinsic cancer cell radiosensitivity biomarkers and novel radiosensitizing drugs has been hampered by a lack of robust high throughput assays of radiation response. We sought to validate a recently published high throughput viability assay as a surrogate of clonogenic survival and extend its use to drug-radiation combinations. Experimental Methods: Clonogenic assays—the gold standard for assessing radiation survival in vitro—and viability assays were performed on 19 SCC cell lines (16 head and neck, 3 esophageal). The clonogenic assay was performed according to published procedures (Franken et al. Nat. Protoc, 2006) with colonies counted using ImageJ. The viability assay was adapted from Abazeed et al. (Cancer Res., 2013). Cells were seeded with a range of densities in 96 well plates then treated with a range of radiation doses (0, 2, 4, and 8 Gy); viability was measured using CellTitre Glo reagent after 9 days. Agreement between clonogenic and viability assays was measured using modified concordance index (C-index) and Pearson correlation. For the addition of drug, cells were allowed to adhere to plates for 2 hours before drug administration. Cells were irradiated 16 hours later again at a range of doses (0, 2, 4, and 6 Gy for drug analysis), and then quantified as above. All assays were performed with technical and biological triplicates. Results: There was a high degree of agreement between the area under the curve with the clonogenic assay and the viability assay (C-index = 0.80, p = 3.03x10-7; Pearson r = 0.70, p = 1.10x10–3). Significant concordance was also seen at 2 Gy and 4 Gy dose points (Pearson r = 0.62 and 0.73 respectively), however not at 8 Gy (Pearson r<0.5). The viability assay decreases the overall time for the experiment, as it has a 9-day endpoint rather than the 14 days typical for the clonogenic assay. The viability assay also eliminates cell counting time, as results can be analyzed in minutes. Survival curves with and without radiation with clinically utilized chemotherapeutic drugs cisplatin and paclitaxel were developed which showed an additive effect for drug combinations, demonstrating the ability of the assay to be combined with chemotherapeutic agents and allows for the investigation into dose-response effects. Conclusion: The proliferative assay recapitulates the clonogenic assay within our cohort of SCC cell lines. Novel higher throughput methods to analyze radiation response will allow for a more efficient measure of drug and radiation combinations. Citation Format: Meghan Lambie, Venkata S. Manem, Benjamin Haibe-Kains, Scott V. Bratman. Validation of a viability assay for assessing radiation response and investigating drug/radiation combinations [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 854.

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)0.003
metaresearch head score (Gemma)0.002
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: Methods · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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.

Opus teacher head0.071
GPT teacher head0.469
Teacher spread0.399 · 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
GenreMethods

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
Published2018
Admission routes1
Has abstractyes

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