Abstract 3303: Investigation of SPAG5 gene expression as a molecular marker for breast cancer prognosis
Bibliographic record
Abstract
Abstract Breast cancer is a clinically heterogeneous disease, making it imperative to use biomarkers, such as the estrogen receptor (ER) and human epidermal growth factor 2 (HER2), to stratify patients into specific prognostic groups. Biomarker stratification provides patients with more accurate diagnoses, predictions of clinical outcomes, and offers targeted therapeutic options. SPAG5 (Sperm Associated Antigen 5) is involved in the maintenance of spindle-pole integrity, efficient chromosomal alignment, and cell proliferation. Its role in cell division may be a cancer susceptibility factor. Low expression of SPAG5 has been correlated with good prognosis and absence of metastases in ER+ breast cancer. However, its relationship to other molecular subtypes of breast cancer and its functional role in the disease are relatively unknown. The purpose of this study was to investigate the role of SPAG5 in breast cancer through (i) microarray analysis and (ii) correlating its expression with invasiveness, a factor involved in disease progression. In part (i), SPAG5 expression in breast cancers was evaluated by using five Affymetrix, three Agilent and one Illumina microarray datasets. The associations between SPAG5 expression and various tumor pathologies were analyzed via log2 expression ratios. Pathologies that were investigated included the ER+ subtype, HER2 overexpression, lymph node metastasis, and breast cancer stem cell-like/undifferentiated tumors. In part (ii), SPAG5 expression across five breast cancer epithelial cell lines of varying invasive ability (MDA-MB-231, MDA-MB-157, BT549, MCF-7, and CAMA1) was investigated. The cells were cultured at normal conditions and lysed using the CytoBusterTM protein extraction reagent. The supernatants were collected by microcentrifugation at 16,000 rcf at 4°C for 5 minutes. Western blotting was completed using standard techniques. From the microarray analysis, overexpression of SPAG5 showed strong associations with HER2 overexpression, ER-negative and triple-negative cancers, high grade tumors, metastasis, and poor clinical outcomes in a total of 1595 breast cancers. Via immunoblotting, it was shown that higher levels of SPAG5 accompanied highly invasive cell lines (MDA-MB-231, MDA-MB-157, and BT549) and lower levels occurred in weakly invasive cells (MCF-7 and CAMA1). These results suggest that SPAG5 is a biomarker of malignancy and invasiveness and may be a novel therapeutic target for the prevention of metastasis. Stratification into specific prognostic groups using SPAG5 as a biomarker could lead to early detection and intervention of breast cancers likely to metastasize. It is possible that treatments targeting the modulation of SPAG5 expression levels may also aid in improving clinical outcomes. Ongoing functional analysis of SPAG5 will elucidate its role in breast cancer and metastasis and aid in further characterization of SPAG5. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 3303.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 0.000 |
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".