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Abstract B18: Role of the tumor suppressor gene DLC-2 in ERBB2 induced mouse mammary tumorigenesis and metastasis

2016· article· en· W2582803780 on OpenAlexaff
Pratima Basak, Heather Leslie, Afshin Raouf, Michael Mowat

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsUniversity of ManitobaCancerCare Manitoba
Fundersnot available
KeywordsCarcinogenesisCancer researchMammary tumorBiologyOncogeneTumor suppressor geneMetastasisCancerCre recombinaseGene silencingMouse mammary tumor virusTumor progressionGeneBreast cancerCell cycleGeneticsGenetically modified mouseTransgene

Abstract

fetched live from OpenAlex

Abstract Introduction: Overexpression of dominant oncogenes and the loss of tumor suppressor genes are basic genetic events in acquisition of the malignant phenotype. The ERBB-2 proto-oncogene is overexpressed in 20% - 30% of human breast cancers. The tumor suppressor gene Deleted in liver cancer 2 (DLC-2, also known as STARD13) maps to chromosome 13q12.3 and is frequently downregulated by 72% in human breast cancer. It encodes a RhoGAP protein containing a START lipid binding domain. It is not known what role DLC-2 silencing plays in breast carcinogenesis. The purpose of our study is to assess the biological significance of inactivation of DLC-2 in ERBB2 induced mammary tumorigenesis mouse model. For this, we used MMTV-NIC mice, which carry an activated NEU oncogene (ERBB2) under control of the MMTV-LTR promoter that also co-expresses Cre recombinase. These mice were crossed to a conditional DLC-2 knockout mouse (floxed exon 3). Objectives: To determine if heterozygous or homozygous DLC-2 loss plays a role in mouse mammary tumor progression in MMTV-NIC mice. Results: Our preliminary results showed that heterozygous deletion of DLC-2 in the mammary epithelium of the MMTV-NIC mouse model resulted in increased tumor burden with accelerated tumor growth. Metastases to the lungs were quantified by scanning H&E stained step sections (4X150uM). We observed a significant increase in the incidence of lung metastases in heterozygous DLC-2 exon3floxed/+ MMTV-NIC mice. The lung metastases showed a homogenous morphology and histopathologically similar phenotype to the MMTV-NIC strain. DLC-2 heterozygous tumor cells showed increased tumorosphere formation under low-attachment conditions with minimal growth factor supplementation. These tumor cells also showed increased expression of mesenchymal cell markers, as determined by quantitative real time RT-PCR, suggesting an Epithelial to Mesenchymal transition is occurring. Experiments with homozygous floxed DLC-2 mice are ongoing and will be presented. Conclusion: These results indicate that loss of one allele of DLC-2 is sufficient to accelerate NEU oncogene induced tumorigenesis. Citation Format: Pratima Basak, Pratima Basak, Heather Leslie, Heather Leslie, Afshin Raouf, Afshin Raouf, Michael RA Mowat, Michael RA Mowat. Role of the tumor suppressor gene DLC-2 in ERBB2 induced mouse mammary tumorigenesis and metastasis. [abstract]. In: Proceedings of the AACR Special Conference on Tumor Metastasis; 2015 Nov 30-Dec 3; Austin, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(7 Suppl):Abstract nr B18.

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 score0.006
Threshold uncertainty score0.020

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.033
GPT teacher head0.328
Teacher spread0.295 · 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
Published2016
Admission routes1
Has abstractyes

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