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Record W2023184594 · doi:10.1158/1538-7445.am2014-3133

Abstract 3133: The anti-tumor effects of acetazolamide and sulforaphane on bronchial carcinoids: Preclinical modeling and mechanism

2014· article· en· W2023184594 on OpenAlexaff
Reza Bayat Mokhtari, Syed S. Islam, Narges Baluch, Karen Aitken, Sushil Kumar, Hailing Cheng, Mehrdad Yazdanpanah, Khosrow Adeli, Yuanxiang Zhou, Ernest Cutz, Herman Yeger

Bibliographic record

VenueCancer Research · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics, phytochemicals, and oxidative stress
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsClonogenic assayCancer researchMetastasisDownregulation and upregulationSulforaphaneMedicineViability assayIn vivoPathologyParthenolideCell cultureCancerChemistryInternal medicineBiologyApoptosis

Abstract

fetched live from OpenAlex

Abstract Background: The prognosis of patients with metastatic bronchial carcinoid remains poor despite current conventional and targeted therapies. Here we evaluated the therapeutic potential of acetazolamide (AZ; a pan carbonic anhydrase inhibitor affecting pH regulation and homeostasis) and sulforaphane (SFN; a natural isothiocyanate compound targeting multiple pathways in cancer cells), for their anti-cancer properties. Methods: In vitro and in vivo studies were conducted on H-727 (typical carcinoid) and H-720 (atypical carcinoid) bronchial carcinoid cell lines. We developed a lung orthotopic bronchial carcinoid tumor xenograft model in NOD/SCID mice. Results: AZ and/or SFN significantly inhibited cell viability and clonogenic capacity in a dose-dependent manner (0-80 μM, 48 hours and 7 days). AZ and/or SFN downregulated phosphoH3, Ki67, EPCAM, CA9, Akt1 and upregulated p21 and Nrf2 proteins compared to controls as confirmed by Western blot. Upregulation of Nrf2 gene expression was confirmed by qPCR. AZ and/or SFN significantly reduced xenograft growth and serotonin content after two weeks treatment. In the lung orthotopic model, MR imaging at 3 Tesla precisely identified growth of H-727 injected cells in the ipsilateral side, and revealed liver metastasis as confirmed by histology. A tumor initiating cell (TIC) fraction isolated under stem cell culture conditions showing significantly enhanced tumorigenicity was also studied. Conclusions: AZ and/or SFN inhibited tumor survival, proliferation, invasiveness, serotonin secretion and tumorigenic potential of bronchial carcinoid cell lines. Since the combination of AZ+SFN was more effective than either single agent, we postulate that AZ potentiates the effects of SFN by inhibiting PI3K/AKT, which could enhance the inhibitory effect of SFN on P21, Ki67 and phosphoH3. Interestingly, Nrf2 upregulation by both AZ and by SFN suggested a potent antioxidant response. The lung orthotopic tumor model of bronchial carcinoids permits study of carcinoid metastatic progression. As the doses used in this study are clinically bioavailable we suggest that AZ and SFN may have promising potential for carcinoid therapy and resolution of the carcinoid syndrome. Citation Format: Reza Bayat Mokhtari, Syed S. Islam, Narges Baluch, Karen Aitken, Sushil Kumar, Hai-Ling Margaret Cheng, Mehrdad Yazdanpanah, Khosrow Adeli, Yuanxiang Zhou, Ernest Cutz, Herman Yeger. The anti-tumor effects of acetazolamide and sulforaphane on bronchial carcinoids: Preclinical modeling and mechanism. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 3133. doi:10.1158/1538-7445.AM2014-3133

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

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 head0.037
GPT teacher head0.355
Teacher spread0.318 · 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 designSimulation or modeling
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
Published2014
Admission routes1
Has abstractyes

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