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Record W7053337654

Upper limb modelling, dynamic analysis, and force distribution using fuzzy logic

2007· other· en· W7053337654 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2007
Typeother
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsBreast cancerExtracellular matrixCancerEstrogenPhenotypeEndocrine systemCancer cellCell
DOInot available

Abstract

fetched live from OpenAlex

Breast cancer is a hormonally responsive cancer and hormones, including estrogen, are required for breast cancer growth. The evolution of breast cancer into an estrogen-independent growth phenotype is thought to be an important step in the progression of breast cancer to hormone-independence and endocrine therapy resistance. Understanding the factors that contribute to the development of an estrogen-nonresponsive growth phenotype is of major importance in terms of breast cancer therapeutics. Resistance to endocrine therapies may be due to a number of factors, including loss of estrogen receptor-alpha (ER-_) expression, but most tumours that have developed resistance to endocrine therapy remain ER-_ positive. The mechanisms responsible for the development of estrogen-independence in the presence of continued expression of ER-_ are poorly understood. In order to address this, a breast cancer cell model of apparent estrogen-independence was developed. An estrogen-nonresponsive cell fine, T5-PRF, was developed from T5 (ER-_) positive and estrogen-responsive) human breast cancer cells by chronically depleting the cells of estrogen in long-term culture. The T5-PRF cells are insensitive to the growth-stimulatory effects of estrogen while still retaining expression of the (ER-_) The tissue matrix consists of linkages and interactions of the nuclear matrix (NM), cytoskeleton and extracellular matrix. This system is a dynamic structural and functional component of the cell that maintains and coordinates cell function and gene expression. The (ER-_) is localized to the NM and studies suggest that alterations in NM proteins may influence gene expression. Three proteins (identified as cytokeratins 8, 18 and 19) present in the NM-intermediate filament (NM-IF) fraction were found to be regulated by estrogen in T5 human breast cancer cells. However, T5-PRF, estrogen-nonresponsive cells, overexpressed these three proteins compared to T5 cells, and these proteins were no longer regulated by estrogen in T5-PRF cells. Treating T5 cells with antiestrogens resulted in a significant reduction in these proteins, while no effect was seen in T5-PRF cells, supporting the conclusion that these three NM-IF proteins are regulated by estrogen in T5 human breast cancer cells and may play a role in estrogen action in human breast Comm cells. T5-PRF cells were also found to have significantly increased ligand-independent (ER-_) activity. In addition, an ER-_ mRNA variant with an inframe deletion of exons 3 and 4 was detected in T5-PRF, but not T5, human breast cancer cells. Recombinant expression of this (ER-_) variant in T5 human breast cancer cells increased estrogen-dependent and -independent reporter gene expression, suggesting that the presence of this (ER-_) mRNA variant may contribute to anestrogen-independent growth phenotype. Furthermore, T5-PRF human breast cancer cells contained elevated mitogen-activated protein kinase (MAPK) activity. The MAPK signal transduction pathway can be activated by estrogen in human breast cancer cells and may be involved in the regulation of ER-_ transcriptional activity through both ligand-dependent and independent pathways, suggesting that increased activity of MAPK may contribute to the ligand-independent activity of the ER-_ in T5-PRF cells. In conclusion, T5-PRF human breast cancer cells contain several changes compared to parental T5 cells, which may all contribute to an estrogen-nonresponsive growth phenotype and affect the transcriptional activity/regulation of the (ER-_)

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.004
GPT teacher head0.152
Teacher spread0.149 · 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 designSimulation or modeling
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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)→Same topicPlasma Diagnostics and Applications→French-language works237,207→