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Record W2319867709 · doi:10.1158/1538-7445.am2013-5341

Abstract 5341: Clinical relevance of metastasis-related miRNAs in early breast cancer.

2013· article· en· W2319867709 on OpenAlexaff
Athina Markou, George M. Yousef, Liang Yu, E. Stathopoulos, V. Georgoulias, Evi Lianidou

Bibliographic record

VenueCancer Research · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsBreast cancerMetastasisMedicinemicroRNAClinical significanceImmunohistochemistryOncologyCancerMonoclonal antibodyInternal medicineStage (stratigraphy)PathologyCancer researchAntibodyBiologyImmunologyGene

Abstract

fetched live from OpenAlex

Abstract Introduction It was recently demonstrated that miRNAs control breast cancer metastasis by influencing multiple metastatic steps. In this study we firstly evaluated the clinical relevance of specific miRNAs -recently shown to correlate with metastasis in breast cancer by exploring their expression profile in FFPEs samples of early breast cancer patients in respect to the clinical outcome of the patients. Finally, we investigated the correlations between the expression of these selected miRNAs and other parameters such as ER and PR expression. Materials and Methods One hundred and twelve (112) FFPE blocks were obtained from breast tumors of early breast cancer patients (follow-up period of 11 years) and 13 mammoplasty specimens from healthy tissues which were used as controls. The median overall survival (OS) and disease free interval (DFI) were 84 and 68 months respectively. We have chosen to quantify the expression of six metastasis related miRNAs, namely: miR-10b, miR-2,1 miR-205, miR-210, miR-335 and let-7a by RT-qPCR in the LightCycler (Roche). HER2, ER and PR expression of the primary tumors was detected by immunohistochemistry with the monoclonal antibody CB11 and with monoclonal antibodies to ER and PR, respectively, using the OPTIMAX automated system. For all miRNAs relative expression was determined using the ΔCq approach and expression values were normalized to miR-191 which has been shown to be a suitable reference miRNA. Results Kaplan-Meier survival curves demonstrated that patients with high miR-21 expression (n=56) had a significant shorter DFI than those with low miR-21 expression (P=0.043). Moreover, patients with low expression of miR-205 (n=57) had both shorter DFI and OS time than those with high expression levels (P=0.040 and P=0.047 respectively). However, the expression levels of the other four miRNAs were not related with the DFI and OS. We also found that in the ER-negative subgroup (n=46), disease relapse was more common in patients where miR-10b was over-expressed (P=0.019), while in the PR-negative subgroup (n=47), disease relapse was more common in patients with miR-21 overexpression (P<0.001) or miR-10b overexpression (P =0.016). Finally, in the group of PR-negative patients we noticed that patients who overexpressed miR-21 had shorter OS (P=0.021). Conclusions Quantification of metastasis related miRNAs expression in primary tumors can give important prognostic information in patients with early breast cancer. Citation Format: Athina N. Markou, George M. Yousef, Yu Liang, E Stathopoulos, Vassilios Georgoulias, Evi S. Lianidou. Clinical relevance of metastasis-related miRNAs in early breast cancer. [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 5341. doi:10.1158/1538-7445.AM2013-5341

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0050.001

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 head0.056
GPT teacher head0.416
Teacher spread0.359 · 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".

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Citations1
Published2013
Admission routes1
Has abstractyes

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