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Abstract P2-05-14: The long noncoding RNA BHLHE40-AS1 as a functional biomarker of invasive breast cancer

2016· article· en· W2342447202 on OpenAlexaff
RKS DeVaux, Sean Davis, Jesse Sheftel, Christian Coarfa, Fariba Behbod, JI Herschkowitz

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsQueen's University
Fundersnot available
KeywordsBreast cancerBiomarkerMedicineDuctal carcinomaCancerDiseaseCarcinogenesisEpigeneticsOncologyLong non-coding RNABioinformaticsInternal medicineBiologyRNAGene

Abstract

fetched live from OpenAlex

Abstract Increased emphasis on breast cancer screening has led to a dramatic surge in diagnosis of pre-cancerous ductal carcinoma in situ (DCIS) over the past 30 years. Unfortunately, diagnosis of late stage invasive and metastatic disease has not proportionally declined, suggesting significant over diagnosis and over treatment of innocuous DCIS. Due to a lack of biomarkers, the heterogeneity of DCIS lesions, and an insufficient understanding of mechanisms of invasive progression, there is currently no clinically relevant method of predicting which DCIS lesions will advance to invasive disease. As a result, all DCIS patients undergo an aggressive treatment regimen to prevent disease progression. Therefore, there is a critical need to determine the underlying mechanisms driving breast cancer progression to better inform patient treatment options and nominate novel therapeutic entry points for treatment of invasive disease. Recently, long noncoding RNAs (lncRNAs) have gained attention as critical regulators of epigenetic states and gene expression. Although the study of lncRNAs is in its infancy, they are being uncovered as pivotal regulators of development and tumorigenesis, thus they are a rich source of potential drivers of breast cancer progression. We propose that lncRNAs functionally drive breast cancer invasion and their expression can discriminate between innocuous and potentially invasive DCIS. Using biopsies from women that exhibit tandem DCIS and invasive breast cancer lesions, we have identified a cohort of long noncoding RNAs (lncRNAs) that are enriched in the invasive biopsy. From this cohort we have identified the lncRNA BHLHE40-AS1 as increasing in a step-wise manner in a breast cancer progression series that escalates from normal, non-transformed cells to highly invasive disease. Preliminary evidence suggests that BHLHE40-AS1 expression regulates invasive potential in vitro. Using a GeneChip® Human Transcriptome 2.0 Array (HTA) we have identified several targets previously associated with driving breast cancer invasion as being potentially regulated by BHLHE40-AS1. Future directions will focus on determining the effect of BHLHE40-AS1 expression on tumor cell invasion in an orthotopic xenograft model, mechanistically elaborating its function, and determining the utility of BHLHE40-AS1 as a clinically relevant biomarker of invasive breast cancer. Citation Format: DeVaux RKS, Davis S, Sheftel J, Coarfa C, Behbod F, Herschkowitz JI. The long noncoding RNA BHLHE40-AS1 as a functional biomarker of invasive breast cancer. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P2-05-14.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.055
GPT teacher head0.370
Teacher spread0.315 · 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 designObservational
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
Published2016
Admission routes1
Has abstractyes

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