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Abstract A102: Combination treatment with hypoxia-activated prodrug TH-302 and radiation reduce pancreatic tumor initiating cells and tumor growth in patient-derived xenografts

2015· article· en· W866387138 on OpenAlexaff
Ines Lohse, Joanna Rasowski, Pinjian Cao, Melania Pintilie, Trevor Do, Emin Ibrahimov, Ming‐Sound Tsao, Rićhard P. Hill, David W. Hedley

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Research and Treatments
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsPancreatic cancerTumor hypoxiaMedicineHypoxia (environmental)Radiation therapyProdrugMetastasisImmunostainingCancer researchCombination therapyPancreatic tumorPrimary tumorTumor progressionCancerInternal medicinePharmacologyChemistryImmunohistochemistryOxygen

Abstract

fetched live from OpenAlex

Abstract Rationale: Using orthotopically-grown primary pancreatic cancer xenografts we recently identified an association between hypoxia and spontaneous metastasis formation, and we hypothesized that metastatic potential is conferred by the presence of tumor-initiating cells (TIC). We therefore investigated the relationship between hypoxia, tumor growth and TIC, and examined the effect of the hypoxia-activated prodrug TH-302 and ionizing radiation (IR) on pancreatic TIC and tumor growth. Methods: Eleven patient-derived pancreatic cancer xenograft models were used to examine tumor-initiation potential in relation to the tumor phenotype. To examine the effect of TH-302 and IR on TIC, tumor-bearing mice were treated with 50 mg/kg or 150 mg/kg TH-302, 10Gy of IR, or with the combination of TH-302 and IR. To examine the effect of TH-302 and IR on tumor growth, mice were treated with either TH-302 or IR alone, or with the combination treatment according to a clinically relevant schedule. Animals were treated with 50mg/kg TH-302 injected ip on days 1, 5 and 9 and/or 2Gy irradiation per day on days 2, 3 and 4. Tumor hypoxia was measured by EF5 administration and immunostaining. Results: TIC frequency varied across the patient-derived xenograft models and rapid tumor growth was strongly correlated with high TIC frequency but not hypoxia. Treatment with TH-302 in combination with IR led to a significant reduction in TIC frequency compared with either treatment alone in all models tested. Treatment-induced reduction in TIC frequency was independent of the magnitude of tumor hypoxia. Treatment-induced reduction of tumor growth was only observed in fast-growing hypoxic models. Additionally, TH-302 treatment also induced DNA damage in tumor tissue adjacent to the hypoxic zone which is consistent with the previously demonstrated bystander effect of TH-302. Conclusions: These results suggest that TIC can reside in both the oxic and the hypoxic microenvironment and that the combination of TH-302 and IR may present a novel therapeutic strategy to reduce the frequency of TIC and tumor growth rate of pancreatic tumors. Citation Format: Ines Lohse, Joanna Rasowski, Pinjian Cao, Melania Pintilie, Trevor Do, Emin Ibrahimov, Ming-Sound Tsao, Richard P. Hill, David W. Hedley. Combination treatment with hypoxia-activated prodrug TH-302 and radiation reduce pancreatic tumor initiating cells and tumor growth in patient-derived xenografts. [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer: Innovations in Research and Treatment; May 18-21, 2014; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2015;75(13 Suppl):Abstract nr A102.

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)0.000
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.044
GPT teacher head0.337
Teacher spread0.293 · 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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