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Record W2315561973 · doi:10.1158/1538-7445.am10-5530

Abstract 5530: A novel bacterial anticancer treatment modality targeting hypoxic solid tumors as an enzyme-prodrug using non-pathogenic <i>Bifidobacterium longum</i> expressing cytosine deaminase

2010· article· en· W2315561973 on OpenAlexaff
Takayuki Sasaki, Takanori Ito, Yuko Shimatani-Shibata, Masami Okabe, Jun Amano, Shun’ ichiro Taniguchi

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Research and Treatments
Canadian institutionsMicropharma (Canada)
Fundersnot available
KeywordsCytosine deaminaseBifidobacterium longumCancer researchIn vivoBiologyProdrugGenetic enhancementPharmacologyBifidobacteriumMicrobiologyBiochemistryGeneFermentation

Abstract

fetched live from OpenAlex

Abstract Solid tumors generally exhibit anaerobic or hypoxic regions compared with normal tissues, which causes a potential therapeutic problem because hypoxic tumor cells are resistant to radiotherapy and chemotherapy. Furthermore, recent studies have suggested that tumor hypoxia is associated with malignant progression, including enhanced invasiveness, angiogenesis and distant metastasis. We previously reported that a strain of domestic, nonpathogenic and anaerobic bacteria, Bifidobacterium longum (B. longum) selectively localized and proliferated within solid tumors after systemic administration. In addition, we reported that a transformed B. longum (prototype APS001) with a shuttle-plasmid encoding the cytosine deaminase (CD) gene, which deaminates the pro-drug 5-fluorocytosine (5-FC) to the active agent 5-fluorouracil (5-FU), induced tumor regression in chemically-induced rat mammary tumors. This enzyme/pro-drug therapeutic strategy was described as the BifidobactErial Selective Targeting-Cytosine Deaminase (BEST-CD) therapy. In this study, we developed an improved B. longum transformant with a plasmid that expressed a CD gene that had been modified by a point mutation. This newly transformed bacterium (APS001F) was about 10 times more potent in vitro in CD-activity compared with the prototype bacteria (APS001) harboring the original CD, and it produced higher levels of 5-FU in the tumors of animals in vivo without increasing the 5-FU in normal tissues. In this series of preclinical studies using tumor-bearing animal models, APS001F was selectively localized in solid tumor tissue but not in normal organs or tissues, and the high concentrations of 5-FU in the tumor tissues correlated positively with the number of intra-tumoral colonies of APS001F. When combined with oral administration of 5-FC, 2 days after the last APS001F injection (i.v.), significant tumor suppression was observed in nude mice with KPL-1 human mammary carcinoma. Furthermore, the anti-tumor activity of APS001F was confirmed in nude rats with MKN45 human stomach carcinoma after 2 hours of infusion once a day for 3 consecutive days followed by oral 5-FC administration for 3 weeks, which would be a typical clinical dosing regimen. There were no significant adverse events or abnormal symptoms in any of the APS001F- treated rats. Taken together, this transformed B. longum with the modified CD gene is thought to be a safe and attractive new anticancer treatment modality that is able to selectively deliver an active drug to various hypoxic solid tumors as an enzyme/pro-drug therapy. We are currently investigating the combination therapy of APS001F with some anticancer drugs, such as molecular-targeted drugs or anti-angiogenic drugs. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 5530.

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 score0.001
Threshold uncertainty score0.002

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.050
GPT teacher head0.399
Teacher spread0.348 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

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