Predictive value of BubR1 and synuclein- gamma expression in breast cancer.

Cirak, Yalcin; Furuncuoglu, Yavuz; Yapıcıer, Özlem; Argon, Andaç; Alıcı, Süleyman

doi:10.1200/jco.2015.33.15_suppl.e13511

Cited by 10 publications

(17 citation statements)

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“…Nevertheless, decreased expression of SNCG may correspond to a more indolent disease. In breast cancer, it was shown that TNBC cell lines do not express SNCG , in accordance with our results [44]; although in another study using a small cohort of 55 cases there was no association between the clinicopathologic parameters including histologic grade, ER positivity and HER2 status and the level of SNCG [45].…”

Section: Discussionsupporting

confidence: 91%

Twiner: correlation-based regularization for identifying common cancer gene signatures

2019

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Background: Breast and prostate cancers are typical examples of hormone-dependent cancers, showing remarkable similarities at the hormone-related signaling pathways level, and exhibiting a high tropism to bone. While the identification of genes playing a specific role in each cancer type brings invaluable insights for gene therapy research by targeting disease-specific cell functions not accounted so far, identifying a common gene signature to breast and prostate cancers could unravel new targets to tackle shared hormone-dependent disease features, like bone relapse. This would potentially allow the development of new targeted therapies directed to genes regulating both cancer types, with a consequent positive impact in cancer management and health economics. Results: We address the challenge of extracting gene signatures from transcriptomic data of prostate adenocarcinoma (PRAD) and breast invasive carcinoma (BRCA) samples, particularly estrogen positive (ER+), and androgen positive (AR+) triple-negative breast cancer (TNBC), using sparse logistic regression. The introduction of gene network information based on the distances between BRCA and PRAD correlation matrices is investigated, through the proposed twin networks recovery (twiner) penalty, as a strategy to ensure similarly correlated gene features in two diseases to be less penalized during the feature selection procedure. Conclusions: Our analysis led to the identification of genes that show a similar correlation pattern in BRCA and PRAD transcriptomic data, and are selected as key players in the classification of breast and prostate samples into ER+ BRCA/AR+ TNBC/PRAD tumor and normal tissues, and also associated with survival time distributions. The results obtained are supported by the literature and are expected to unveil the similarities between the diseases, disclose common disease biomarkers, and help in the definition of new strategies for more effective therapies.

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Section: Discussionsupporting

confidence: 91%

Twiner: correlation-based regularization for identifying common cancer gene signatures

2019

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“…Strohl et al have shown that high expression of SNCG is bound up with invasion and development in ovarian cancer 8 . In MCF7 breast cancer cells, SNCG is also overexpressed, activating extracellular signal‐regulated kinase pathways and disrupting intercellular connections, which leads to cell migration, so it may also be a predictive marker for breast cancer 24 . Additionally, high levels of SNCG have been found in bladder cancer, 9 glioblastoma, 25 gastric cancer, 26 hepatocellular carcinoma 27 as well as OSCC.…”

Section: Discussionmentioning

confidence: 99%

Assessment of serum synuclein‐γ and squamous cell carcinoma antigen as diagnostic biomarkers in patients with oral squamous cell carcinoma and oral potentially malignant disorders

Chen

Luo

Yang

et al. 2020

J Oral Pathology Medicine

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Background Clinical diagnosis and monitoring are crucial to reduce the mortality from oral squamous cell carcinoma (OSCC) and oral potentially malignant disorders (OPMDs). It has been demonstrated that synuclein‐γ (SNCG) and squamous cell carcinoma antigen (SCCAg) are highly expressed in patients with OSCC and perhaps participate in OSCC progression. This study analyzed the levels of serum SNCG and SCCAg in OSCC, OPMD, and control patients, and evaluated the diagnostic and clinical value of single and combined detection of serum SNCG and SCCAg in OSCC and OPMDs. Patients and methods Serum samples were collected from 197 patients including 87 patients with OSCC, 30 patients with OPMDs, and 80 healthy volunteers as controls. Enzyme‐linked immunosorbent assay and statistical analysis were utilized to determine SNCG and SCCAg levels in serum. Results The levels of SNCG and SCCAg in serum were significantly higher in OSCC compared with OPMDs and controls. There was a correlation between SNCG level and ethnicity, and SCCAg was correlated with differentiation. Furthermore, the area under the curves, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of combined detection of SNCG and SCCAg were better than any single detection. Conclusion The combined detection of SNCG and SCCAg in serum could become a new standard method to distinguish between OSCC and OPMDs and improve diagnostic performance for OSCC.

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“…Aurora kinases (AURKs) are a class of serine/threonine kinases, which can further be classied into AURKA, AURKB and AURKC. 96 Overexpression of the aurora kinases has been observed in many cancer types such as breast cancer, [97][98][99][100] gastrointestinal cancer, 101,102 ovarian cancer [103][104][105] and other tumors, [106][107][108] thereby making these kinases important therapeutic targets to develop selective anticancer agents. Chang et al reported novel amide derivatives of indazole as inhibitors (Fig.…”

Section: (Vii) Aurora Kinase (Aurk) Inhibitorsmentioning

confidence: 99%

Current progress, challenges and future prospects of indazoles as protein kinase inhibitors for the treatment of cancer

et al. 2021

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Predictive value of BubR1 and synuclein- gamma expression in breast cancer.

Cited by 10 publications

References 0 publications

Twiner: correlation-based regularization for identifying common cancer gene signatures

Twiner: correlation-based regularization for identifying common cancer gene signatures

Assessment of serum synuclein‐γ and squamous cell carcinoma antigen as diagnostic biomarkers in patients with oral squamous cell carcinoma and oral potentially malignant disorders

Current progress, challenges and future prospects of indazoles as protein kinase inhibitors for the treatment of cancer

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