Dataset Information

Stathmin and phospho-stathmin protein signature is associated with survival outcomes of breast cancer patients.

ABSTRACT: Currently, Stathmin1 (STMN1) and phospho-STMN1 levels in breast cancers and their clinical implications are unknown. We examined the expression of STMN1 and its serine phospho-site (Ser16, Ser25, Ser38, and Ser63) status by immunohistochemistry. Using Cox regression analysis, a STMN1 expression signature and phosphorylation profile plus clinicopathological characteristics (STMN1-E/P/C) was developed in the training set (n = 204) and applied to the validation set (n = 106). This tool enabled us to separate breast cancer patients into high- and low-risk groups with significantly different disease-free survival (DFS) rates (P < 0.001). Importantly, this STMN1-E/P/C model had a greater prognostic value than the traditional TNM classifier, especially in luminal subtype breast cancer (P = 0.002). Further analysis showed that patients in the low-risk group would benefit more from adjuvant paclitaxel-based chemotherapy (P = 0.002). In conclusion, the STMN1-E/P/C signature is a reliable prognostic indicator for luminal subtype breast cancer and may predict the therapeutic response to paclitaxel-based treatments, potentially facilitating individualized management.

SUBMITTER: Kuang XY

PROVIDER: S-EPMC4673159 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature

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Stathmin and phospho-stathmin protein signature is associated with survival outcomes of breast cancer patients.

Kuang Xia-Ying XY Chen Li L Zhang Zhi-Jie ZJ Liu Yi-Rong YR Zheng Yi-Zi YZ Ling Hong H Qiao Feng F Li Shan S Hu Xin X Shao Zhi-Ming ZM

Oncotarget 20150901 26

Currently, Stathmin1 (STMN1) and phospho-STMN1 levels in breast cancers and their clinical implications are unknown. We examined the expression of STMN1 and its serine phospho-site (Ser16, Ser25, Ser38, and Ser63) status by immunohistochemistry. Using Cox regression analysis, a STMN1 expression signature and phosphorylation profile plus clinicopathological characteristics (STMN1-E/P/C) was developed in the training set (n = 204) and applied to the validation set (n = 106). This tool enabled us t ...[more]

PMID: 26087399

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Project description:BackgroundHigh expression of Stathmin 1 (STMN1) protein is related to a poor prognosis in various tumors, including breast cancer. In our previous study, a phospho-STMN1 signature was conducted to predict outcomes in adjuvantly treated breast cancer patients. This study aimed to explore the relationship of STMN1 expression with our phospho-STMN1 signature and the prognosis of patients treated with neoadjuvant chemotherapy (NACT).MethodsA retrospective analysis of 116 patients who received NACT in The First Affiliated Hospital of Sun Yat-sen University between December 2008 and March 2016 was conducted. Patients were followed up through telephone once a year until 2022. The levels of STMN1, Ser16, Ser25, Ser38, and Ser63 phosphorylation and GRP78 expression in pre-NACT biopsy specimens from the patients were detected by immunohistochemistry. The recurrence risk score for each patient was calculated using the p-STMN1/GRP78 model. Clinical and pathological parameters, pathological complete response and objective response rates, and survival data were analyzed.ResultsIn patients with NACT-treated breast cancer, high levels of STMN1, Ser25 phosphorylation, Ser38 phosphorylation, and GRP78 were related to worse disease-free survival (DFS), as was a high p-STMN1/GRP78 model risk score. In contrast, high Ser16 and Ser63 phosphorylation levels were related to better DFS [p-STMN1/GRP78 model: P=0.002, HR =0.180 (0.061-0.534); STMN1: P=0.001, HR =0.290 (0.147-0.572); Ser16: P=0.036, HR =2.019 (1.049-3.886); Ser25: P=0.013, HR =0.392 (0.188-0.819); Ser38: P=0.001, HR =0.293 (0.153-0.559); Ser63: P=0.006, HR =3.346 (1.407-7.961); GRP78: P=0.010, HR =0.417 (0.214-0.815)]. However, no significant statistical difference was found in the multivariate regression. The relationship between these markers and the therapeutic effect of NACT (pathological complete response and objective response) showed the same tendency with survival. The area under the receiver operating characteristic curve for the p-STMN1/GRP78 model was 0.790 (P=0.001) with sensitivity of 70% and specificity of 74%.ConclusionsThe expression and serine phosphorylation status of STMN1 may be beneficial as biomarkers for predicting the prognosis of breast cancer patients treated with NACT. Our p-STMN1/GRP78 model could become a widely applied signature for assessing the metastatic risk of breast cancer patients, potentially facilitating their individualized management before NACT.

Project description:BackgroundBreast cancer is the most common malignancy in female patients worldwide. Because of its heterogeneity in terms of prognosis and therapeutic response, biomarkers with the potential to predict survival or assist in making treatment decisions in breast cancer patients are essential for an individualised therapy. Epigenetic alterations in the genome of the cancer cells, such as changes in DNA methylation pattern, could be a novel marker with an important role in the initiation and progression of breast cancer.MethodDNA methylation and RNA-seq datasets from The Cancer Genome Atlas (TCGA) were analysed using the Least Absolute Shrinkage and Selection Operator (LASSO) Cox model. Applying gene ontology (GO) and single sample gene set enrichment analysis (ssGSEA) an epigenetic signature associated with the survival of breast cancer patients was constructed that yields the best discrimination between tumour and normal breast tissue. A predictive nomogram was built for the optimal strategy to distinguish between high- and low-risk cases.ResultsThe combination of mRNA-expression and of DNA methylation datasets yielded a 13-gene epigenetic signature that identified subset of breast cancer patients with low overall survival. This high-risk group of tumor cases was marked by upregulation of known cancer-related pathways (e.g. mTOR signalling). Subgroup analysis indicated that this epigenetic signature could distinguish high and low-risk patients also in different molecular or histological tumour subtypes (by Her2-, EGFR- or ER expression or different tumour grades). Using Gene Expression Omnibus (GEO) the 13-gene signature was confirmed in four external breast cancer cohorts.ConclusionAn epigenetic signature was discovered that effectively stratifies breast cancer patients into low and high-risk groups. Since its efficiency appears independent of other known classifiers (such as staging, histology, metastasis status, receptor status), it has a high potential to further improve likely individualised therapy in breast cancer.

Dataset Information

Stathmin and phospho-stathmin protein signature is associated with survival outcomes of breast cancer patients.

Publications

Stathmin and phospho-stathmin protein signature is associated with survival outcomes of breast cancer patients.

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