Abstract 5341: Clinical relevance of metastasis-related miRNAs in early breast cancer.
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".