The Effect of High CDC6 Levels on Predicting Poor Prognosis in Colorectal Cancer

Technical Notes / Original Paper

Yang C.a,b· Xie N.a,b· Luo Z.a,b· Ruan X.b· Zhang Y.b· Wang W.a· Huang Y.a,b

Author affiliations

aDepartment of Pathology, Hainan Medical University, Haikou, China
bDepartment of Pathology, The First Affiliated Hospital of Hainan Medical University, Haikou, China

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Article / Publication Details

First-Page Preview

Abstract of Technical Notes / Original Paper

Received: June 11, 2021
Accepted: September 27, 2021
Published online: January 14, 2022

Number of Print Pages: 10
Number of Figures: 6
Number of Tables: 3

ISSN: 0009-3157 (Print)
eISSN: 1421-9794 (Online)

For additional information: https://www.karger.com/CHE

Abstract

Introduction: We investigated the function of cell division cycle 6 (CDC6) on the prognosis in colorectal carcinoma (CRC). Methods: CDC6 protein expression levels in 121 patients with colorectal cancer and adjacent normal mucosa were detected by immunohistochemistry. Results: Compared to adjacent normal tissues, CDC6 mRNA level was overexpressed in CRC tissues. Moreover, CDC6 protein levels were expressed up to 93.39% (113/121) in CRC tissues in the cell nucleus or cytoplasm. However, there were only 5.79% (7/121) in normal mucosal tissues with nuclear expression. CDC6 expression was significantly correlated with TNM stage and tumor metastasis. The 5-year survival rate was lower in the high CDC6 expression group than the low group. After silencing of CDC6 expression in SW620 cells, cell proliferation was slowed, the tumor clones were decreased, and the cell cycle was arrested in G1 phase. In multivariate analysis, increased CDC6 protein expression levels in colon cancer tissues were associated with cancer metastasis, TNM stage, and patient survival time. Conclusion: CDC6 is highly expressed in CRC, and downregulation of CDC6 can slow the growth of CRC cells in vitro. It is also an independent predictor for poor prognosis and may be a useful biomarker for targeted therapy and prognostic evaluation.

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First-Page Preview

Abstract of Technical Notes / Original Paper

Received: June 11, 2021
Accepted: September 27, 2021
Published online: January 14, 2022

Number of Print Pages: 10
Number of Figures: 6
Number of Tables: 3

ISSN: 0009-3157 (Print)
eISSN: 1421-9794 (Online)

For additional information: https://www.karger.com/CHE

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