Literature DB >> 25854368

Combined expression of metastasis related markers Naa10p, SNCG and PRL-3 and its prognostic value in breast cancer patients.

Li Min1, Ruo-Lan Ma, Hua Yuan, Cai-Yun Liu, Bing Dong, Cheng Zhang, Yan Zeng, Li Wang, Jian-Ping Guo, Li-Ke Qu, Cheng-Chao Shou.   

Abstract

Combinations of multiple biomarkers representing distinct aspects of metastasis may have better prognostic value for breast cancer patients, especially those in late stages. In this study, we evaluated the protein levels of N-α-acetyltransferase 10 protein (Naa10p), synuclein-γ (SNCG), and phosphatase of regenerating liver-3 (PRL-3) in 365 patients with breast cancer by immunohistochemistry. Distinct prognostic subgroups of breast cancer were identified by combination of the three biomarkers. The Naa10p+SNCG-PRL-3- subgroup showed best prognosis with a median distant metastasis-free survival (DMFS) of 140 months, while the Naa10p-SNCG+PRL-3+ subgroup had the worst prognosis with a median DMFS of 60.5 months. Multivariate analysis indicated Naa10p, SNCG, PRL-3, and the TNM classification were all independent prognostic factors for both DMFS and overall survival (OS). The three biomarker combination of Naa10p, SNCG and PRL-3 performed better in patients with lymph node metastasis, especially those with more advanced tumors than other subgroups. In conclusion, the combined expression profile of Naa10p, SNCG and PRL-3, alone or in combination with the TNM classification system, may provide a precise estimate of prognosis of breast cancer patients.

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Year:  2015        PMID: 25854368     DOI: 10.7314/apjcp.2015.16.7.2819

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  3 in total

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Authors:  Hua Xie; Hao Wang
Journal:  Oncol Lett       Date:  2017-12-19       Impact factor: 2.967

2.  Expression of phosphatase of regenerating liver (PRL)-3, is independently associated with biochemical failure, clinical failure and death in prostate cancer.

Authors:  Sigve Andersen; Elin Richardsen; Mehrdad Rakaee; Helena Bertilsson; Roy Bremnes; Magne Børset; Lill-Tove Busund; Tobias Slørdahl
Journal:  PLoS One       Date:  2017-11-30       Impact factor: 3.240

3.  Combining affinity propagation clustering and mutual information network to investigate key genes in fibroid.

Authors:  Qian-Song Chen; Dan Wang; Bao-Lian Liu; Shu-Feng Gao; Dan-Li Gao; Gui-Rong Li
Journal:  Exp Ther Med       Date:  2017-05-22       Impact factor: 2.447

  3 in total

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