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Record W2045596194 · doi:10.1158/1538-7445.am10-65

Abstract 65: Metformin inhibits in vivo growth of MC38 colon carcinoma in the absence of LKB1 expression

2010· article· en· W2045596194 on OpenAlexaff
Carolyn Algire, Lilian Amrein, Miguel Bazile, Mahvash Zakikhani, Stéphanie David, Michaël Pollak

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism, Diabetes, and Cancer
Canadian institutionsMcGill University
Fundersnot available
KeywordsMetforminAMPKEndocrinologyInternal medicineHyperinsulinemiaCancerGene knockdownIn vivoMedicineCancer researchInsulinCell growthInsulin resistanceBiologyKinaseProtein kinase AApoptosisCell biologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract There is evidence that metformin has anti-neoplastic activity in diabetic cancer patients. In hepatocytes, metformin administration leads to the LKB1-dependent activation of AMPK and inhibition of gluconeogenesis which can lower insulin levels. In neoplastic cells in vitro, metformin-induced activation of AMPK leads to inhibition of both protein synthesis and cell proliferation. Our previous results showed that metformin inhibits LLC1 tumor growth in mice on a high energy diet that induced hyperinsulinemia, while having no effect on tumor growth of mice on a control diet, thus raising questions regarding the roles of direct AMPK mediated anti-neoplastic effects of metformin vs indirect anti-neoplastic effects attributable to reduction of insulin levels. We extended this work using MC38 colon carcinoma with shRNA to knockdown LKB1 (LKB1-). As expected, knockdown of LKB1 conferred resistance to the in vitro growth inhibitory actions of metformin. We proceeded with an in vivo study to compare growth of MC38-LKB1- and MC38 control tumors in mice on either a high energy or control diet, with or without metformin. Metformin was administered daily and the experiment was carried out with each mouse bearing a MC38-LKB1- tumor on one flank and a MC38 control tumor on the other. Metformin had no effect on the insulin levels of mice on the control diet, but significantly reduced the insulin levels of mice on the high energy diet. Tumors of mice on the high energy diet were twice the volume of tumors of mice on the control diet, regardless of LKB1 status. Metformin significantly inhibited growth of both MC38-LKB1- and MC38 control tumors in mice on the high energy diet. These observations suggest that despite its direct in vitro growth inhibitory activity involving activation of AMPK, the anti-neoplastic activity of the drug in vivo, in the context of hyperinsulinemia, is attributable to the actions of the drug on the liver. Consistent with this conclusion, we observed that metformin administration reduced insulin receptor activation in both MC38-LKB1- and MC38 control tumors of mice on the high energy diet. In addition, metformin attenuated tumor growth in MC38-LKB1- cells in mice on the control diet, but had no effect on MC38 control cells. Immunoblotting confirmed that unlike MC38 control cells, LKB1- cells did not undergo autophagy in the presence of metformin. We confirmed these results in vitro and found that MC38-LKB1- treated with metformin, in conditions of low glucose, underwent apoptosis whereas LKB1- cells treated with metformin in conditions of high glucose were insensitive to metformin. MC38 control cells were equally sensitive to the growth inhibitory effects of metformin at both high and low glucose conditions. These results suggest that metformin and similar compounds deserve clinical evaluation, but that their activity may be restricted to subsets based on molecular pathology of the tumor and metabolic status of the host. 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 65.

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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.035
GPT teacher head0.355
Teacher spread0.320 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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