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Record W2083652600 · doi:10.1158/1538-7445.am2012-5261

Abstract 5261: Irinophore C, a liposomal formulation of irinotecan, has anti-vascular effects in primary tumors of colorectal cancer grown orthotopically in mice

2012· article· en· W2083652600 on OpenAlexaff
May Q. Wong, Tamanna Karim, Andrew Yung, Piotr Kozłowski, Dawn Waterhouse, Marcel B. Bally, David Owen, Sharlene Gill, Isabella T. Tai, Sylvia S. W. Ng, Donald T. Yapp

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Research and Treatments
Canadian institutionsVancouver General HospitalUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsIrinotecanMedicineColorectal cancerCancerPathologyPrimary tumorApoptosisInternal medicineMetastasisBiology

Abstract

fetched live from OpenAlex

Abstract Introduction: Colorectal cancer accounts for ∼10% of cancer deaths in North America. Our group has developed a series of primary tumors from human colorectal cancer tissue obtained during surgery. These tumors are passaged orthotopically in mice and maintain the complexity and heterogeneity of the original patient sample. We have used these tumors to examine the cytotoxic and anti-vascular effects of Irinophore CTM, a liposomal form of irinotecan, which is more efficacious and less toxic than the parent drug. Materials and Methods: Primary tumor tissues from colorectal cancer patients, were validated by a reference pathologist and implanted subcutaneously in SCID mice. Tumors that grew successfully were then passaged orthotopically on the ascending colon of new mice. When these tumors reached ∼200mm3, groups of mice were treated with saline, irinotecan (50mg/kg), or IrinophoreCTM (25mg/kg) once a week for 6 weeks. Separate groups of tumors, A, B and C were harvested on days 3, 21 and 42 after treatment started, respectively. Magnetic resonance imaging (MRI) was used to assess tumor perfusion in mice from group B. Treatment effects on tumor metabolism were assessed with 18F -fluorodeoxyglucose and positron emission tomography (FDG-PET) for groups A and C mice. Immunofluorescence staining was carried out on tumors from all treatment groups to determine levels of cell proliferation, apoptosis, hypoxia, and vessel density. Results: 4 of 14 samples were successfully propagated and maintain their original morphology. Irinophore CTM treatment reduced tumor volume by 54% to 92% compared to the untreated controls depending on the tumor line. No toxic effects were seen with Irinophore CTM. The aggregate data for cell proliferation (Ki67), necrosis (H&E) and cell death (TUNEL) indicate that Irinophore CTM has sustained cytotoxic activity compared to the free drug. Immunostaining data show irinotecan treatment did not change blood vessel density in the tumors; however, Irinophore CTM treatment did reduce vascular density in the tumors. The volume transfer coefficient, Ktrans, derived from MRI, decreased when tumors were treated with irinotecan, but increased with Irinophore CTM treatment. Differences in the metabolic activity of the tumors were also seen. Conclusion: Orthotopic models of colorectal cancer propagated from patient tumors were successfully developed. These models retain the characteristics of the original patient sample and are a good alternative to xenograft models grown from immortalized cell-lines. The anti-tumor activity of Irinophore CTM at lower doses is greater than irinotecan's, and with fewer side effects. Treatment with Irinophore CTM also reduces tumor metabolism and appears to improve vascular function. The data imply that Irinophore CTM has sustained anti-tumor activity and multiple mechanisms of action compared to irinotecan. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5261. doi:1538-7445.AM2012-5261

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.029
GPT teacher head0.344
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 teacher head, 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

Citations3
Published2012
Admission routes1
Has abstractyes

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