Expression and Clinical Significance of Sushi Domain-Containing Protein 3 (SUSD3) and Insulin-like Growth Factor-I Receptor (IGF-IR) in Breast Cancer

Zhao, Shuang; Chen, Shuangshuang; Gu, Yuan; Jiang, Erhui; Yu, Zhenghong

doi:10.7314/apjcp.2015.16.18.8633

Cited by 14 publications

(9 citation statements)

References 10 publications

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“…5). This gene was shown to be a survival biomarker based on METABRIC data (45), and increased expression of corresponding protein was reported in breast cancer tumor tissue (46). At the same time, there was only one previous study focused on deciphering molecular mechanism of this gene.…”

Section: Discussionmentioning

confidence: 99%

Novel Predictors of Breast Cancer Survival Derived from miRNA Activity Analysis

Aushev

Lee

Zhu

et al. 2018

Clinical Cancer Research

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Breast cancer is among the leading causes of cancer-related death; discovery of novel prognostic markers is needed to improve outcomes. Combining systems biology and epidemiology, we investigated miRNA-associated genes and breast cancer survival in a well-characterized population-based study. A recently developed algorithm, , was used to identify key miRNA "activities" corresponding to target gene degradation, which were predictive of breast cancer mortality in published databases. We profiled miRNA-associated genes in tumors from our well-characterized population-based cohort of 606 women with first primary breast cancer. Cox proportional hazards models were used to estimate HRs and 95% confidence intervals (CI), after 15+ years of follow-up with 119 breast cancer-specific deaths. miR-500a activity was identified as a key miRNA for estrogen receptor-positive breast cancer mortality using public databases. From a panel of 161 miR-500a-associated genes profiled, 73 were significantly associated with breast cancer-specific mortality (FDR < 0.05) in our population, among which two clusters were observed to have opposing directions of association. For example, high level of was associated with reduced breast cancer-specific mortality (HR = 0.3; 95% CI, 0.2-0.4), whereas the opposite was observed for (HR = 2.7; 95% CI, 1.8-3.9). Most importantly, we identified set of genes for which associations with breast cancer-specific mortality were independent of known prognostic factors, including hormone receptor status and PAM50-derived risk-of-recurrence scores. These results are validated in independent datasets. We identified novel markers that may improve prognostic efficiency while shedding light on molecular mechanisms of breast cancer progression. .

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Section: Discussionmentioning

confidence: 99%

Novel Predictors of Breast Cancer Survival Derived from miRNA Activity Analysis

Aushev

Lee

Zhu

et al. 2018

Clinical Cancer Research

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“…Insulin like growth factor 1 receptor (IGF1R) is a transmembrane receptor tyrosine kinase, which is over‐expressed in many kinds of tumors . Besides, it affects cancer cell growth, survival, transformation, and metabolism through mediating its downstream signaling .…”

Section: Introductionmentioning

confidence: 99%

“…5 Insulin like growth factor 1 receptor (IGF1R) is a transmembrane receptor tyrosine kinase, which is over-expressed in many kinds of tumors. 6,7 Besides, it affects cancer cell growth, survival, transformation, and metabolism through mediating its downstream signaling. 8 Moreover, one study demonstrates that the positive expression of IGF1R is correlated with the poor prognosis of biliary tract cancer.…”

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confidence: 99%

Retracted: Correlation of the expressions of IGF1R‐RACK1‐STAT3 and Bcl‐xl in nasopharyngeal carcinoma with the clinicopathological features and prognosis of nasopharyngeal carcinoma

Wang

Shen

Wen

et al. 2017

J of Cellular Biochemistry

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The aim of this study was to investigate the correlation of expression of IGF1R-RACK1-STAT3 and Bcl-xl in nasopharyngeal carcinoma (NPC) with the clinicopathological features and the prognosis of NPC. Our study selected 215 NPC tissues and 178 chronic nasopharyngitis tissues (control group). Positive expression rates of IGF1R, RACK1, STAT3, and Bcl-xl were tested by immunohistochemical method, and expression of IGF1R, RACK1, STAT3, Bcl-xl, Bcl-2, and Bax by western blotting. Correlation of IGF1R, RACK1, STAT3, and Bcl-xl with the clinicopathological features of NPC was analyzed. The correlation among those four expression was analyzed by Spearman. The survival of NPC and independent factors of prognosis were tested by Kaplan-Meier and COX proportional hazards model respectively. The NPC group had higher positive expression rates of IGF1R, RACK1, STAT3, and Bcl-xl, and elevated expression of IGF1R, RACK1, STAT3, Bcl-xl, Bcl-2, and Bax. The lymph node metastasis (LNM) group had higher positive expression rates of IGF1R and RACK1 when compared with the non-LNM group. Patients with stage III and IV had higher positive expression rates of IGF1R, RACK1, STAT3, and Bcl-xl. There was positive correlation between expression of IGF1R and RACK1, STAT3. Such correlation was found between RACK1 and STAT3. Patients with negative expression of IGF1R, RACK1, STAT3, and Bcl-xl had higher survival rates. The risky factors of poor prognosis of NPC were positive expression of IGF1R, RACK1, STAT3 and Bcl-xl, and LNM. IGF1R-RACK1-STAT3 and Bcl-xl expression correlated with the clinicopathological features and poor prognosis of NPC.

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“…The role of NDRG2 in different cancer was different. [17] Wei et al suggested that increased expression of NDRG2 might promote the proliferation of BC cells, whereas the results of Yang et al suggested that NDRG2 inhibited the proliferation, migration, invasion, and epithelial-mesenchymal transition of esophageal cancer cells. [18,19] Vargas et al [20] demonstrated that 3’UTR polymorphism in ACSL1 was correlated with expression levels and poor clinical outcome in colon cancer.…”

Section: Discussionmentioning

confidence: 99%