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Record W2503754940 · doi:10.1158/1538-7445.am2016-2860

Abstract 2860: Loss of expression of the metastasis suppressor CREB3L1 is associated with high-grade metastatic breast cancer and poorer prognosis

2016· article· en· W2503754940 on OpenAlexaff
Paul Mellor, Alison K Ward, Deborah H. Anderson

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEndoplasmic Reticulum Stress and Disease
Canadian institutionsSaskatchewan Cancer AgencyUniversity of Saskatchewan
Fundersnot available
KeywordsBreast cancerMetastasisCancer researchCancerAngiogenesisCancer cellMicroarray analysis techniquesMetastatic breast cancerMedicineTissue microarrayCellBiologyInternal medicineGene expressionGeneBiochemistry

Abstract

fetched live from OpenAlex

Abstract The unfolded protein response (UPR) is required for proper protein folding in the endoplasmic reticulum under conditions of stress such as those encountered in the tumor microenvironment. Recently, a number of studies have suggested a role for the unfolded protein response in the development of cancer, more specifically in regulating the balance between cell death, dormancy and the growth of cancer cells in the tumor microenvironment. This study examined the role of CREB3L1 (cAMP-responsive element-binding protein 3-like protein 1), a member of the UPR, in breast cancer development and metastasis. Initial experiments identified the loss of CREB3L1 expression in metastatic breast cancer cell lines compared to low- or non-metastatic cell lines. When metastatic cells were transfected with CREB3L1 they demonstrated reduced invasion and migration in vitro, as well as a significantly decreased ability to survive under non-adherent or hypoxic conditions. Interestingly, in an in vivo rat mammary tumor model, CREB3L1 expressing cells not only failed to form metastases compared to CREB3L1 null cells but regression of the primary tumors was seen in 70% of the animals as a result of impaired angiogenesis. Microarray and ChIP on Chip analyses identified changes in the expression of many genes involved in cancer development and metastasis, including a decrease in those involved in angiogenesis. To determine if these findings translated to human breast cancer, real-time PCR analysis of CREB3L1 expression in human breast cancer tissues of differing grade (n = 213) was performed. Expression of CREB3L1 was elevated in low and medium grade tissue but substantially reduced in high grade tissue, compared to normal. Analysis of the on-line TCGA database of breast cancer samples identified a strong inverse relationship between CREB3L1 gene methylation and the loss of CREB3L1 mRNA expression. Low expression of CREB3L1 was associated with a poorer prognosis with a shorter relapse-free survival for luminal A and triple negative breast cancer patients. These data suggest that CREB3L1 plays an important role in suppressing tumorgenesis and loss of expression is required for the development of a metastatic phenotype. In addition CREB3L1 expression may be a useful marker for determining patient prognosis. Citation Format: Paul Mellor, Alison Ward, Deborah Anderson. Loss of expression of the metastasis suppressor CREB3L1 is associated with high-grade metastatic breast cancer and poorer prognosis. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2860.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.334
Teacher spread0.304 · 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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