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Xiaolu Zhai

Researcher at Nantong University

Publications -  7
Citations -  187

Xiaolu Zhai is an academic researcher from Nantong University. The author has contributed to research in topics: Tissue microarray & Metastasis. The author has an hindex of 5, co-authored 6 publications receiving 163 citations.

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Journal ArticleDOI

Abnormal expression of EMT-related proteins, S100A4, vimentin and E-cadherin, is correlated with clinicopathological features and prognosis in HCC

TL;DR: It is demonstrated that high S100A4 and VIM expression and low E-cad expression correlate with an aggressive, malignant phenotype in HCC, and a role for E- cad as a prognostic factor in H CC is supported.
Journal Article

High expression of MAGE-A9 in tumor and stromal cells of non-small cell lung cancer was correlated with patient poor survival.

TL;DR: Cox regression univariate and multivariable analysis revealed that MAGE-A9 expression in tumor cells of NSCLC (P < 0.001) is an independent prognostic factor in five-year overall survival rate.
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Elevated expression of growth-regulated oncogene-alpha in tumor and stromal cells predicts unfavorable prognosis in pancreatic cancer.

TL;DR: Growth-regulated oncogene-alpha; expression was elevated in pancreatic cancer tissues and might be a potential therapeutic target and prognostic marker in patients with Pancreatic cancer.
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High expression levels of MAGE-A9 are correlated with unfavorable survival in lung adenocarcinoma.

TL;DR: The results showed that a high expression level of MAGE-A9 protein in lung adenocarcinoma tumor cells was related to larger tumor diameter, poor differentiation and poor differentiation, and Cox regression analysis revealed that the expression of Mages A9 in lungAdenoc cancer cells (P < 0.001) is an independent prognostic factor in five-year survival rates.
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Overexpression of Growth-Related Oncogene-β Is Associated with Tumorigenesis, Metastasis, and Poor Prognosis in Ovarian Cancer.

TL;DR: Overall, high GRO-β expression correlates with poor prognosis and contributes to ovarian cancer tumorigenesis and metastasis.