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Record W2885574494 · doi:10.1158/1538-7445.am2018-583

Abstract 583: Rapid release of ctDNA as a biomarker of treatment response in preclinical models of head and neck squamous cell carcinoma

2018· article· en· W2885574494 on OpenAlexaff
Ariana Rostami, Caberry W. Yu, Marco A. Di Grappa, Scott V. Bratman

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsHead and neck squamous-cell carcinomaApoptosisCancer researchBiomarkerProgrammed cell deathMedicineCell cultureDNA damagePathologyRadiation therapyBiologyOncologyHead and neck cancerInternal medicineDNA

Abstract

fetched live from OpenAlex

Abstract Purpose: High-dose radiotherapy (RT) is a standard treatment for locally advanced head and neck squamous cell carcinoma (HNSCC). Despite known molecular prognostic biomarkers in HNSCC, such as the presence of human papillomavirus (HPV) within tumor tissues, RT regimens remain one-size-fits-all without any patient-specific individualization. We hypothesize that rapid release of circulating tumor DNA (ctDNA) can act as a biomarker of treatment response in HNSCC by reflecting tumor cell death in response to RT. Methods: Four HNSCC cell lines, two HPV- (Cal33, FaDu) and two HPV+ (HMS-001, 93-Vu147T), were evaluated for ctDNA release following single dose RT in vitro. Quantification of ctDNA was performed by quantitative polymerase chain reaction (qPCR) with primers amplifying the human long interspersed nuclear element 1 (hLINE1). RT-induced apoptosis was measured using a luminometric caspase 3/7 assay, and RT-induced senescence was evaluated using a fluorometric senescence associated β-galactocidase (SA-β-Gal) assay. The pan-caspase inhibitor, z-vad-fmk, was used to block RT-induced apoptosis. Subcutaneous cell-line xenografts were established in Nod-Scid-Gamma (NSG) mice, where plasma from serial blood draws was purified and quantified for ctDNA release using hLINE1 qPCR. Endpoint tumors were evaluated for mechanisms of cell death by histological staining. Results: HNSCC cell lines exhibited variable magnitude and timing of ctDNA release and apoptosis. Maximal ctDNA release occurred between 72 and 144 hours post-RT. The release of ctDNA was not correlated with HPV status nor with apoptosis occurring following RT. To further interrogate the contribution of apoptosis to ctDNA release, we treated cells with a pan-caspase inhibitor and evaluated ctDNA release and caspase activity following RT. Although caspase inhibition resulted in a near complete reduction in RT-induced caspase activity (84.0% ±8.1%), a comparatively minor reduction in ctDNA release (28.9%±8.9%) was observed. To evaluate the impact of senescence on RT-induced ctDNA release, we measured SA-β-Gal activity post-RT. The degree of senescence following RT was inversely associated with ctDNA release. In cell line xenografts, maximal ctDNA release into mouse plasma occurred 96 hours following RT. Staining patterns of endpoint tumors for caspase-3, TUNEL, p21, and Ki67 are currently under analysis. Conclusions: Our results demonstrate a robust and sensitive method for longitudinal evaluation of ctDNA release and cell death post-RT both in vitro and in vivo. Timing of ctDNA release demonstrate peaks around 72-96 hours post-RT, highlighting the potential for ctDNA to depict early response to therapy. Ongoing studies aimed at further investigating ctDNA release in association with mechanisms of cell death in vivo will help further elucidate the potential for ctDNA as a biomarker of treatment response. Citation Format: Ariana Rostami, Caberry Yu, Marco A. Di Grappa, Scott V. Bratman. Rapid release of ctDNA as a biomarker of treatment response in preclinical models of head and neck squamous cell carcinoma [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 583.

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)0.001
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.093
GPT teacher head0.408
Teacher spread0.315 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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