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Record W2316489042 · doi:10.1158/1538-7445.am2013-751

Abstract 751: Identification of variant claudin 1 transcripts in human breast tumors.

2013· article· en· W2316489042 on OpenAlexaff
Anne Blanchard, Xiuli Ma, Teresa Zelinski, Jiuyong Xie, Steven Cooper, Yvonne Myal

Bibliographic record

VenueCancer Research · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsClaudinBiologyTight junctionCancerBreast cancerCancer researchExonGeneMolecular biologyGenetics

Abstract

fetched live from OpenAlex

Abstract Claudin 1 is a tight junction protein which contributes to the transepithelial barrier that controls the transport of ions and small molecules in epithelial cells. Claudin 1 is also important for the organization of epithelial cell polarity and thus is crucial in maintaining the differentiated state of epithelial cells. An increasing number of studies have shown that the deregulated expression of the junctional proteins is directly or indirectly involved in cancer progression, including breast cancer. However, although claudin 1 forms the backbone of the tight junction, the role of claudin 1 in breast cancer is not known. Studies from our laboratory and others suggest that it may be that of a tumor suppressor, as it is often down regulated or absent in human invasive breast cancer. In the present study we explored mechanisms that may be involved in the down regulation of claudin 1 in human breast cancer. Using claudin 1 primers, RT-PCR analysis of several human breast cancer tissue samples resulted in the identification of a number of cDNAs, ranging in size from 217bp-615bp. Sequencing of these cDNAs revealed that they were products of variant claudin 1 transcripts, exhibiting various deletions primarily involving exon 1. Further inspection of these sequences showed that the RNA from which they were derived could not be translated into full length claudin 1 protein because of existing frame shifts and premature stop codons which may partially explain the loss of the protein in these tumors. Using genomic DNA derived from the tumors, we sequenced the claudin 1 exon coding regions in order to ascertain whether deletions or mutations could explain the aberrant transcripts. We identified several single nucleotide polymorphisms (SNPs), however, the SNPs did not appear to be directly linked to these alternate splice variants. Additionally, methylation specific PCR assay of exon 1 of the claudin 1 gene suggests distinct methylation patterns within the breast tumors. This data, in conjunction with supporting evidence obtained from the Cancer Genome Atlas study, suggests that methylation is involved in the regulation of claudin 1 expression in human breast cancer. In this study, we have identified for the first time variant claudin 1 transcripts in human breast cancer. These studies provide novel insights and reveal two possible mechanisms that may explain the down regulation of claudin 1during breast cancer progression. Since the breakdown of cell-cell interactions and the deregulated expression of the junctional proteins, are believed to be key steps in invasion and metastasis, understanding the molecular and genetic changes within tight junction molecules such as claudin 1 during breast tumorigenesis will be critical for facilitating more effective patient management. Citation Format: Anne AA Blanchard, Xiuli Ma, Teresa Zelinski, Jiuyong Xie, Steven Cooper, Yvonne Myal. Identification of variant claudin 1 transcripts in human breast tumors. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 751. doi:10.1158/1538-7445.AM2013-751

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.036
GPT teacher head0.365
Teacher spread0.329 · 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
Published2013
Admission routes1
Has abstractyes

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