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Record W2887654090 · doi:10.1158/1538-7445.am2018-4464

Abstract 4464: CPEB-2 is a tumor-suppressor gene in human breast cancer

2018· article· en· W2887654090 on OpenAlexaff
Peeyush K. Lala, Joshua Tordjman, Mehdi Amiri, Asma Hasan, David A. Hess, Mousumi Majumder

Bibliographic record

VenueCancer Research · 2018
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsBrandon UniversityWestern University
Fundersnot available
KeywordsBiologyCancer researchCancerHIF1ACancer cellAngiogenesisGenetics

Abstract

fetched live from OpenAlex

Abstract We found that expression of cyclooxygenase (COX)-2 promotes breast cancer progression by multiple mechanisms, including stimulation of cancer cell proliferation, migration, invasiveness, epithelial-to-mesenchymal transition (EMT), angiogenesis, lymphangiogenesis and induction of stem-like cells (SLC). Through combined gene expression and microRNA microarray analyses of COX-2-transfected MCF-7 cells, we identified two oncogenic miRNAs, miR-526b and miR-655, up-regulated by COX-2. They collectively target 13 tumour suppressor-like genes down-regulated by COX-2, of which Cytoplasmic Polyadenylation Element-Binding Protein -2 (CPEB-2) was the single common target, whose function is unclear in breast cancer. CPEB-2 is known to downregulate mesenchymal transcription factor TWIST1 and translation of HIF1α. CPEB-2 has multiple isoforms (A-F), of which a high B: A isoform ratio was reported to confer anoikis-resistance, a metastatic phenotype, in breast cancer cells. We found that CPEB-2 expression was inversely correlated with COX-2 or the microRNAs miR-526b and miR-655 in breast cancer cell lines; it was very high in a non-tumorigenic mammary epithelial cell line MCF10A.To define its functional roles we knocked out CPEB-2 in MCF10A cells by CRISPR/Cas9-double nickase approach. CPEB-2-KO cells exhibited oncogenic phenotypes in vitro: increased proliferation, migration, invasion, EMT phenotype (decreased E-Cadherin, increased Vimentin, N-cadherin, SNAI1, and ZEB1) and SLC properties (increased spheroid formation and SLC-linked markers). P53 protein was found to be a novel translationally- regulated target of CPEB-2. CPEB-2KO cells, but not wild-type cells, produced lung colonies upon intravenous injection and orthotopic tumors (identified by HLA staining) upon implantation at mammary sites in NOD/SCID/IL2Rϒ-null mice. In human breast cancer tissues, compared to non-tumour breast tissues, isoform A/E of CPEB2 revealed a lower expression in HER2+ breast cancer samples, suggesting that CPEB-2A/E are the tumour-suppressor isoforms. These findings demonstrate that CPEB-2 is a tumour suppressor gene in breast cancer. (Supported by the OICR and the NSERC) Citation Format: Peeyush K. Lala, Joshua Tordjman, Mehdi Amiri, Asma Hasan, David Hess, Mousumi Majumder. CPEB-2 is a tumor-suppressor gene in human breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4464.

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)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.062
GPT teacher head0.426
Teacher spread0.365 · 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
Published2018
Admission routes1
Has abstractyes

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