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Abstract PO-086: Selective radiosensitization in preclinical models of HPV-negative squamous cell carcinoma

2021· article· en· W3156560386 on OpenAlexaff
Meghan Lambie, Rita Gill, Laurie Ailles, Scott V. Bratman

Bibliographic record

VenueClinical Cancer Research · 2021
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Research Studies
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsRadioresistanceCancer researchClonogenic assayCell cycleRadiosensitivityMedicineCancerViability assayFlow cytometryRadiation therapyCell cultureOncologyPharmacologyBiologyImmunologyInternal medicine

Abstract

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Abstract Background: Radiotherapy is a mainstay of curative treatment for squamous cell carcinomas (SCC) and is frequently combined with radiosensitizing drugs to improve efficacy. Outcomes for HPV-negative SCCs remain heterogeneous, in part due to variable resistance to ionizing radiation (IR) and modest benefit of existing radiosensitizing drugs. Hypothesis driven testing of novel radiosensitizing drugs has previously been limited due to a lack of robust, efficient, and reproducible methods to assess drug radiation combinations. Aims: To improve the throughput of preclinical studies on radiosensitizers, we have developed an in vitro system for assessing drug/radiation combinations, validated using the known radiosensitizing chemotherapeutic drug cisplatin. We extended the assay to assess the effect of ML-385, a NRF2 inhibitor that increases cellular reactive oxygen species (ROS), and abemaciclib and palbociclib, two CDK4/6 inhibitors predicted to radiosensitize cancer cells by inhibiting entry into more resistant phases of the cell cycle. Experimental Methods: We adapted the 9-day viability assay of Abazeed et al. (Cancer Res., 2013) to enable drug/radiation efficacy assessments. We first validated the assay’s ability to recapitulate clonogenic survival among 19 HPV-negative SCC cell lines. Drug/radiation experiments were performed in the 6 most radioresistant SCC cell lines. ROS levels after 4Gy IR was used to confirm NRF2 suppression. Flow cytometry was used to evaluate cell cycle phase. AKT inhibitor GSK690693 was used in combination with a NRF2 shRNA knockdown cell line to investigate the mechanism of sensitivity. Western blot was used to detect p16. Cellular response to multiple IR doses was summarized using an area-under-the-curve (AUC) metric. The delta AUC across drug doses was used to evaluate radiosensitization. Results: Among the 19 cell lines, AUCs with the clonogenic and 9-day viability assays were strongly correlated (Pearson r=0.74, p=3.00 × 10–4). Six (32%) of the cell lines were reproducibly radioresistant (AUC >3.5) using both assays. All of these cell lines saw sensitization with cisplatin. None of these 6 cell lines harboured mutations in the canonical NRF2 pathway, whereas all 6 harboured either CCND1 amplification, CDKN2A mutation, or both. Only one cell line showed radiosensitization with the NRF2 inhibitor ML-385, an effect that was abrogated by PIK3CA or AKT pathway inhibition. In contrast, 5 of the 6 cell lines showed reproducible radiosensitization following CDK4/6 inhibition; with robust p16 expression detected in the lone unaffected cell line. Conclusion: The 9-day viability assay allows efficient evaluation of putative radiosensitizers. Our tests of putative radiosensitizing drugs in a cohort of radioresistant cell lines have identified CDK4/6 inhibitors to be of interest for further investigation in biomarker-selected populations. Citation Format: Meghan Lambie, Rita Gill, Laurie Ailles, Scott V. Bratman. Selective radiosensitization in preclinical models of HPV-negative squamous cell carcinoma [abstract]. In: Proceedings of the AACR Virtual Special Conference on Radiation Science and Medicine; 2021 Mar 2-3. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(8_Suppl):Abstract nr PO-086.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.254
GPT teacher head0.533
Teacher spread0.278 · 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 teacher head, not a consensus.

Study designObservational
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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