CILP2 overexpression predicts poor prognosis in colorectal cancer

Abstract Background Cartilage Intermediate Layer Protein 2 (CILP2), a glycoprotein with mutations associated with abnormal blood lipid concentrations in normal and cardiovascular diseases patients, was barely reported with clinical features of tumors. We evaluated the role of CILP2 among all stages and histology in colorectal cancer (CRC) in the Cancer Genome Altas (TCGA), and furtherly verified using immunohistochemistry assay within human CRC tissues. Materials and methods Clinical information and RNA-seq data were derived from TCGA colorectal carcinoma cohort. CILP2 expression at mRNA level was estimated by bioinformatical analysis of TCGA cases. Tissue microarray (TMA) was constructed containing paraffin-embedded 64 pairs of CRC and matched adjacent normal tissues. The expression at protein level was detected in 64 pairs of CRC and matched adjacent normal tissues by immunohistochemical analysis. CILP2 expression level and its clinical value were estimated by bioinformatical analysis with linear and logistic regression. Survival analysis was performed between high and low groups of CILP2 expression by Cox regression analysis, and P value was calculated by log-rank test. Kaplan-Meier curves were tested by log-rank test. Results CILP2 was significantly higher expressed in the colorectal cancer tissues when compared with paired adjacent normal tissues in TCGA cohort (P < 0.001) and in TMA cohort (P = 0.001). In addition, CILP2 high-expression was strongly correlated with T3/4 stage (P = 0.001), N1/2/3 stage (P = 0.005), M1 stage (P = 0.048), and higher clinical stage (UICC 2010 stage) (P < 0.001) in TCGA cohort, and also positively associated with T3/4 stage (P = 0.022) and higher clinical stage (UICC 2010 stage) (P = 0.03) in TMA cohort. Furthermore, CILP2 overexpression predicted poor prognosis and could be as an independent prognostic factor (P = 0.003). Conclusion We revealed that CILP2 is associated with advanced stages and could play a role as an independent predictor of poor survival in colorectal cancer.

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CILP2 overexpression correlates with tumor progression and poor prognosis in patients with colorectal cancer in The Cancer Genome Atlas (TCGA) study

10.21203/rs.3.rs-22867/v4 ◽

2020 ◽

Author(s):

Feng Huang ◽

Yuanfei Peng ◽

Qing Ye ◽

Jinhu Chen ◽

Yangming Li ◽

...

Keyword(s):

Colorectal Cancer ◽

Poor Prognosis ◽

Cox Regression ◽

Clinical Stage ◽

Genetic Alterations ◽

Rank Test ◽

Cox Regression Analysis ◽

Normal Tissues ◽

Log Rank Test ◽

Bioinformatical Analysis

Abstract Background: Genetic alterations play an important role in the progression of colorectal cancer (CRC). Identifying new biomarkers to assess the prognosis of patients with CRC is critical. Cartilage Intermediate Layer Protein 2 (CILP2) gene, screened from the TCGA database by bioinformatics, may be closely related to the progression of CRC. CILP2 was barely reported with clinical features of tumors.Materials and methods: Clinical information and RNA-seq data were derived from the TCGA colorectal carcinoma cohort. CILP2 expression at mRNA level was estimated by bioinformatical analysis of TCGA cases. Tissue microarray (TMA) was constructed containing paraffin-embedded 64 pairs of CRC and matched adjacent normal tissues. The expression at the protein level was detected in 64 pairs of CRC and matched adjacent normal tissues by immunohistochemical analysis. CILP2 expression level and its clinical value were estimated by bioinformatical analysis with linear and logistic regression. Survival analysis was performed between high and low groups of CILP2 expression by Cox regression analysis, and the P-value was calculated by the log-rank test. Kaplan-Meier curves were tested by the log-rank test.Results: CILP2 was statistically significantly higher expressed in the CRC tissues when compared with paired adjacent normal tissues in the TCGA cohort (P<0.001) and in the TMA cohort (P=0.001). Also, CILP2 high-expression was strongly correlated with T3/4 stage (P=0.001), N1/2/3 stage (P=0.005), M1 stage (P=0.048), and higher clinical stage (UICC 2010 stage) (P<0.001) in TCGA cohort, and also positively associated with T3/4 stage (P=0.022) and higher clinical stage (UICC 2010 stage) (P=0.03) in TMA cohort. Furthermore, CILP2 overexpression predicted poor prognosis and could be as an independent prognostic factor (P=0.003).Conclusion: We revealed that CILP2 is associated with advanced stages and could play a role as an independent predictor of poor survival in CRC.

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CILP2 overexpression correlates with tumor progression and poor prognosis in patients with colorectal cancer in The Cancer Genome Atlas (TCGA) study

World Journal of Surgical Oncology ◽

10.1186/s12957-020-02049-6 ◽

2020 ◽

Vol 18 (1) ◽

Author(s):

Feng Huang ◽

Yuanfei Peng ◽

Qing Ye ◽

Jinhu Chen ◽

Yangming Li ◽

...

Keyword(s):

Colorectal Cancer ◽

Poor Prognosis ◽

Cox Regression ◽

Clinical Stage ◽

Genetic Alterations ◽

Rank Test ◽

Cox Regression Analysis ◽

Normal Tissues ◽

Log Rank Test ◽

Bioinformatical Analysis

Abstract Background Genetic alterations play an important role in the progression of colorectal cancer (CRC). Identifying new biomarkers to assess the prognosis of patients with CRC is critical. Cartilage intermediate layer protein 2 (CILP2) gene, screened from TCGA database by bioinformatics, may be closely related to the progression of CRC. CILP2 was barely reported with clinical features of tumors. Materials and methods Clinical information and RNA-seq data were derived from TCGA colorectal carcinoma cohort. CILP2 expression at mRNA level was estimated by bioinformatical analysis of TCGA cases. Tissue microarray (TMA) was constructed containing paraffin-embedded 64 pairs of CRC and matched adjacent normal tissues. The expression at the protein level was detected in 64 pairs of CRC and matched adjacent normal tissues by immunohistochemical analysis. CILP2 expression level and its clinical value were estimated by bioinformatical analysis with linear and logistic regression. Survival analysis was performed between high and low groups of CILP2 expression by Cox regression analysis, and the P value was calculated by the log-rank test. The Kaplan-Meier curves were tested by the log-rank test. Results CILP2 was statistically significantly higher expressed in the CRC tissues when compared with paired adjacent normal tissues in TCGA cohort (P < 0.001) and in the TMA cohort (P = 0.001). Also, CILP2 high expression was strongly correlated with T3/4 stage (P = 0.001), N1/2/3 stage (P = 0.005), M1 stage (P = 0.048), and higher clinical stage (UICC 2010 stage) (P < 0.001) in TCGA cohort, and also positively associated with T3/4 stage (P = 0.022) and higher clinical stage (UICC 2010 stage) (P = 0.03) in TMA cohort. Furthermore, CILP2 overexpression predicted poor prognosis and could be an independent prognostic factor (P = 0.003). Conclusion We revealed that CILP2 is associated with advanced stages and could play a role as an independent predictor of poor survival in CRC.

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CILP2 overexpression correlates with tumor progression and predicts poor outcome in patients with colorectal cancer

10.21203/rs.3.rs-22867/v2 ◽

2020 ◽

Author(s):

Feng Huang ◽

Yuanfei Peng ◽

Qing Ye ◽

Jinhu Chen ◽

Yangming Li ◽

...

Keyword(s):

Colorectal Cancer ◽

Cox Regression ◽

Clinical Stage ◽

Mrna Level ◽

Genetic Alterations ◽

Rank Test ◽

Cox Regression Analysis ◽

Normal Tissues ◽

Log Rank Test ◽

Bioinformatical Analysis

Abstract Background: Genetic alterations play an important role in the progression of colorectal cancer (CRC). Identifying new biomarkers to assess the prognosis of patients with colorectal cancer is critical. Cartilage Intermediate Layer Protein 2 (CILP2) gene, screened from the TCGA database by bioinformatics, may be closely related to the progression of colorectal cancer. CILP2 was barely reported with clinical features of tumors.Materials and methods: Clinical information and RNA-seq data were derived from the TCGA colorectal carcinoma cohort. CILP2 expression at mRNA level was estimated by bioinformatical analysis of TCGA cases. Tissue microarray (TMA) was constructed containing paraffin-embedded 64 pairs of CRC and matched adjacent normal tissues. The expression at the protein level was detected in 64 pairs of CRC and matched adjacent normal tissues by immunohistochemical analysis. CILP2 expression level and its clinical value were estimated by bioinformatical analysis with linear and logistic regression. Survival analysis was performed between high and low groups of CILP2 expression by Cox regression analysis, and the P-value was calculated by the log-rank test. Kaplan-Meier curves were tested by the log-rank test. Results: CILP2 was statistically significant higher expressed in the colorectal cancer tissues when compared with paired adjacent normal tissues in the TCGA cohort (P<0.001) and in the TMA cohort (P=0.001). Also, CILP2 high-expression was strongly correlated with T3/4 stage (P=0.001), N1/2/3 stage (P=0.005), M1 stage (P=0.048), and higher clinical stage (UICC 2010 stage) (P<0.001) in TCGA cohort, and also positively associated with T3/4 stage (P=0.022) and higher clinical stage (UICC 2010 stage) (P=0.03) in TMA cohort. Furthermore, CILP2 overexpression predicted poor prognosis and could be as an independent prognostic factor (P=0.003).Conclusion: We revealed that CILP2 is associated with advanced stages and could play a role as an independent predictor of poor survival in colorectal cancer.

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CILP2 overexpression predicts poor prognosis in colorectal cancer

10.21203/rs.3.rs-20872/v1 ◽

2020 ◽

Author(s):

Feng Huang ◽

Yuanfei Peng ◽

Qing Ye ◽

Jinhu Chen ◽

Yangming Li ◽

...

Keyword(s):

Colorectal Cancer ◽

Poor Prognosis ◽

Cox Regression ◽

Clinical Stage ◽

Rank Test ◽

P Value ◽

Cox Regression Analysis ◽

Normal Tissues ◽

Log Rank Test ◽

Bioinformatical Analysis

Abstract Background: Cartilage Intermediate Layer Protein 2 (CILP2), a glycoprotein with mutations associated with abnormal blood lipid concentrations in normal and cardiovascular diseases patients, was barely reported with clinical features of tumors. We evaluated the role of CILP2 among all stages and histology in colorectal cancer (CRC) in the Cancer Genome Altas (TCGA), and furtherly verified using immunohistochemistry assay within human CRC tissues. Materials and methods : Clinical information and RNA-seq data were derived from TCGA colorectal carcinoma cohort. CILP2 expression at mRNA level was estimated by bioinformatical analysis of TCGA cases. Tissue microarray (TMA) was constructed containing paraffin-embedded 64 pairs of CRC and matched adjacent normal tissues. The expression at protein level was detected in 64 pairs of CRC and matched adjacent normal tissues by immunohistochemical analysis. CILP2 expression level and its clinical value were estimated by bioinformatical analysis with linear and logistic regression. Survival analysis was performed between high and low groups of CILP2 expression by Cox regression analysis, and P value was calculated by log-rank test. Kaplan-Meier curves were tested by log-rank test. Results : CILP2 was significantly higher expressed in the colorectal cancer tissues when compared with paired adjacent normal tissues in TCGA cohort ( P <0.001) and in TMA cohort ( P =0.001). In addition, CILP2 high-expression was strongly correlated with T3/4 stage ( P =0.001), N1/2/3 stage ( P =0.005), M1 stage ( P =0.048), and higher clinical stage (UICC 2010 stage) ( P <0.001) in TCGA cohort, and also positively associated with T3/4 stage ( P =0.022) and higher clinical stage (UICC 2010 stage) ( P =0.03) in TMA cohort. Furthermore, CILP2 overexpression predicted poor prognosis and could be as an independent prognostic factor ( P =0.003). Conclusion : We revealed that CILP2 is associated with advanced stages and could play a role as an independent predictor of poor survival in colorectal cancer. Key words: CILP2; Colorectal cancer; TCGA; Immunohistochemistry; Prognosis

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CILP2 overexpression correlates with tumor progression and poor prognosis in patients with colorectal cancer in the study of The Cancer Genome Atlas (TCGA) and our cohort analysis

10.21203/rs.3.rs-22867/v3 ◽

2020 ◽

Author(s):

Feng Huang ◽

Yuanfei Peng ◽

Qing Ye ◽

Jinhu Chen ◽

Yangming Li ◽

...

Keyword(s):

Colorectal Cancer ◽

Poor Prognosis ◽

Clinical Stage ◽

Cohort Analysis ◽

Genetic Alterations ◽

Rank Test ◽

Cox Regression Analysis ◽

Normal Tissues ◽

Log Rank Test ◽

Bioinformatical Analysis

Abstract Background: Genetic alterations play an important role in the progression of colorectal cancer. Identifying new biomarkers to assess the prognosis of patients with colorectal cancer is critical. Cartilage Intermediate Layer Protein 2 (CILP2) gene, screened from the TCGA database by bioinformatics, may be closely related to the progression of colorectal cancer. CILP2 was barely reported with clinical features of tumors.Materials and methods: Clinical information and RNA-seq data were derived from the TCGA colorectal carcinoma cohort. CILP2 expression at mRNA level was estimated by bioinformatical analysis of TCGA cases. Tissue microarray (TMA) was constructed containing paraffin-embedded 64 pairs of colorectal cancer and matched adjacent normal tissues. The expression at the protein level was detected in 64 pairs of colorectal cancer and matched adjacent normal tissues by immunohistochemical analysis. CILP2 expression level and its clinical value were estimated by bioinformatical analysis with linear and logistic regression. Survival analysis was performed between high and low groups of CILP2 expression by Cox regression analysis, and the P-value was calculated by the log-rank test. Kaplan-Meier curves were tested by the log-rank test.Results: CILP2 was statistically significantly higher expressed in the colorectal cancer tissues when compared with paired adjacent normal tissues in the TCGA cohort (P<0.001) and in the TMA cohort (P=0.001). Also, CILP2 high-expression was strongly correlated with T3/4 stage (P=0.001), N1/2/3 stage (P=0.005), M1 stage (P=0.048), and higher clinical stage (UICC 2010 stage) (P<0.001) in TCGA cohort, and also positively associated with T3/4 stage (P=0.022) and higher clinical stage (UICC 2010 stage) (P=0.03) in TMA cohort. Furthermore, CILP2 overexpression predicted poor prognosis and could be as an independent prognostic factor (P=0.003).Conclusion: We revealed that CILP2 is associated with advanced stages and could play a role as an independent predictor of poor survival in colorectal cancer.

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EYA4 could be an indicator signifying colorectal cancer sufferers' prognoses

10.21203/rs.3.rs-46920/v1 ◽

2020 ◽

Author(s):

Yang Yan ◽

Xiaohui Du ◽

Shaoyou Xia ◽

Songyan Li ◽

Da Teng ◽

...

Keyword(s):

Colorectal Cancer ◽

Overall Survival ◽

Cox Regression ◽

Survival Curve ◽

Mrna Level ◽

Clinicopathological Characteristics ◽

Rank Test ◽

Normal Tissues ◽

Log Rank Test ◽

Low Expression

Abstract Background Eyes absent 4 (EYA4) is involved in various biological processes. The aim of this study was to investigate the expression of EYA4 and its prognostic value in colorectal cancer (CRC). Methods The mRNA level of EYA4 in diseased tissues and adjacent normal tissues of CRC patients were detected by quantitative real-time polymerase chain reaction (qRT-PCR). The association between EYA4 expression and clinicopathological characteristics was analyzed by χ2 test. Kaplan-Meier analysis with log rank test was performed to evaluate the effects of EYA4 expression on overall survival of CRC patients. Cox regression model was applied for prognosis analysis in CRC. Results The mRNA level of EYA4 was significantly decreased in CRC tissues compared with that in the adjacent normal tissue (P < 0.01). And its expression was affected by DUKE stage (P = 0.034), differentiation (P = 0.027) and vascular invasion (P = 0.037). Survival curve showed that patients with low expression of EYA4 had a significantly shorter overall survival than those with high expression (log rank test, P = 0.008). Low expression of EYA4 (HR = 1.989, 95%CI = 1.090-3.62902, P = 0.025) was an independent biomarker for poor prognosis in CRC patients. Conclusion EYA4 expression is decreased in CRC patients and negatively correlated with aggressive tumor progression. EYA4 may be a potential prognostic biomarker for CRC.

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Upregulation of GNPNAT1 Predicts Poor Prognosis and Correlates With Immune Infiltration in Lung Adenocarcinoma

Frontiers in Molecular Biosciences ◽

10.3389/fmolb.2021.605754 ◽

2021 ◽

Vol 8 ◽

Author(s):

Wenting Liu ◽

Kaiting Jiang ◽

Jingya Wang ◽

Ting Mei ◽

Min Zhao ◽

...

Keyword(s):

Lung Adenocarcinoma ◽

Signaling Pathways ◽

Poor Prognosis ◽

Cox Regression ◽

Clinical Stage ◽

Gene Set Enrichment Analysis ◽

The Cancer Genome Atlas ◽

Clinical Value ◽

Cox Regression Analysis ◽

Normal Tissues

BackgroundGlucosamine 6-phosphate N-acetyltransferase (GNPNAT1) is a key enzyme in the hexosamine biosynthetic pathway (HBP), which functions as promoting proliferation in some tumors, yet its potential biological function and mechanism in lung adenocarcinoma (LUAD) have not been explored.MethodsThe mRNA differential expression of GNPNAT1 in LUAD and normal tissues was analyzed using the Cancer Genome Atlas (TCGA) database and validated by real-time PCR. The clinical value of GNPNAT1 in LUAD was investigated based on the data from the TCGA database. Then, immunohistochemistry (IHC) of GNPNAT1 was applied to verify the expression and clinical significance in LUAD from the protein level. The relationship between GNPNAT1 and epigenetics was explored using the cBioPortal database, and the miRNAs regulating GNPNAT1 were found using the miRNA database. The association between GNPNAT1 expression and tumor-infiltrating immune cells in LUAD was observed through the Tumor IMmune Estimation Resource (TIMER). Finally, Gene set enrichment analysis (GSEA) was used to explore the biological signaling pathways involved in GNPNAT1 in LUAD.ResultsGNPNAT1 was upregulated in LUAD compared with normal tissues, which was verified through qRT-PCR in different cell lines (P < 0.05), and associated with patients’ clinical stage, tumor size, and lymphatic metastasis status (all P < 0.01). Kaplan–Meier (KM) analysis suggested that patients with upregulated GNPNAT1 had a relatively poor prognosis (P < 0.0001). Furthermore, multivariate Cox regression analysis indicated that GNPNAT1 was an independent prognostic factor for LUAD (OS, TCGA dataset: HR = 1.028, 95% CI: 1.013–1.044, P < 0.001; OS, validation set: HR = 1.313, 95% CI: 1.130–1.526, P < 0.001). GNPNAT1 overexpression was correlated with DNA copy amplification (P < 0.0001), low DNA methylation (R = −0.52, P < 0.0001), and downregulation of hsa-miR-30d-3p (R = −0.17, P < 0.001). GNPNAT1 expression was linked to B cells (R = −0.304, P < 0.0001), CD4+T cells (R = −0.218, P < 0.0001), and dendritic cells (R = −0.137, P = 0.002). Eventually, GSEA showed that the signaling pathways of the cell cycle, ubiquitin-mediated proteolysis, mismatch repair and p53 were enriched in the GNPNAT1 overexpression group.ConclusionGNPNAT1 may be a potential prognostic biomarker and novel target for intervention in LUAD.

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Predictive impact of PVL assessments on clinical outcomes in patients undergoing TAVR

European Heart Journal ◽

10.1093/ehjci/ehaa946.2581 ◽

2020 ◽

Vol 41 (Supplement_2) ◽

Author(s):

K Matsushita ◽

B Marchandot ◽

M Kibler ◽

C Sato ◽

J Heger ◽

...

Keyword(s):

Clinical Outcomes ◽

Cox Regression ◽

Adenosine Diphosphate ◽

Rank Test ◽

Multicenter Studies ◽

Cox Regression Analysis ◽

Paravalvular Leakage ◽

Transcatheter Aortic Valve ◽

Log Rank Test ◽

Cerebrovascular Events

Abstract Introduction Paravalvular leakage (PVL) following transcatheter aortic valve replacement (TAVR) is associated with greater mortality. In clinical practice, determining PVL severity after TAVR remains challenging and often requires multiparametric assessment. Purpose This study sought to evaluate the respective value of various modalities of PVL assessments, including transthoracic echocardiography (TTE), cine-angiography, aortic regurgitation index (ARI), and closure time with adenosine diphosphate (CT-ADP), in the prediction of adverse clinical outcomes. Methods We included 1044 patients from our prospective TAVR registry between February 2010 and May 2019. Major adverse cardiac and cerebrovascular events (MACCE) was defined as a composite of all-cause death, myocardial infarction, stroke, and heart failure hospitalization within 1-year. Established cutoff values of ARI (<25) and CT-ADP (>180 sec) were used to assess the presence of PVL after TAVR. Results Moderate to severe PVL occurred in 14.2% and 5.2% of patients as measured by TTE and angiography. The rate of patients with ARI <25 and CT-ADP >180 sec were 36.5% and 24.9%, respectively. Among the four modalities, PVL evaluated by angiography predicted poorer clinical outcomes (Log rank test; p=0.001), whereas TTE, ARI <25, and CT-ADP >180 sec were not associated with 1-year MACCE. By multivariate Cox regression analysis, moderate to severe PVL by angiography was an independent predictor of 1-year MACCE (hazard ratio: 1.96; 95% confidence interval: 1.22–3.00; p=0.007). Conclusions Paravalvular leakage measured by angiography was evidenced as the most meaningful modality in the prediction of adverse clinical outcomes. Future multicenter studies are warranted to ensure these findings in the current TAVR era. Figure 1 Funding Acknowledgement Type of funding source: None

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Tumor Volume Reduction Rate to Induction Chemotherapy Is a Prognostic Factor for Locally Advanced Head and Neck Squamous Cell Carcinoma: a Retrospective Cohort Study

10.21203/rs.3.rs-993291/v1 ◽

2021 ◽

Author(s):

Chi-hsien Huang ◽

Ting-Chun Lin ◽

Ming-Yu Lien ◽

Fu-Ming Cheng ◽

Kai-Chiun Li ◽

...

Keyword(s):

Tumor Volume ◽

Cox Regression ◽

Reduction Rate ◽

Volume Reduction ◽

Cancer Site ◽

Rank Test ◽

Primary Cancer ◽

Cox Regression Analysis ◽

Log Rank Test ◽

Tumor Volume Reduction

Abstract BackgroundAim of this study was to evaluate the prognostic of tumor volume reduction rate (TVRR) status post induction chemotherapy (IC) in LA-HNSCC.MethodsPatients with newly diagnosed LA-HNSCC from year 2007 to 2016 at a single center were included in this retrospective study. All patients had received IC as TPF (taxotere, platinum, fluorouracil) followed by daily definitive intensity-modulated radiotherapy (IMRT) for 70 Gy in 35 fractions concurrent with or without cisplatin-based chemotherapy. Tumor volume reduction rate of the primary tumor (TVRR-T) and lymph node (TVRR-N) was measured and calculated by contrast-enhanced CT images at diagnosis, and one month after final IC cycle, and analyzed though a univariate and multivariate Cox regression model.ResultsNinety patients of the primary cancer sites at hypopharynx (31/90, 34.4%), oropharynx (29/90, 32.2%), oral cavity (19/90, 21.1%) and larynx (11/90, 12.2%) were included in this study, with a median follow-up time interval of 3.9 years. In univariate Cox regression analysis, the TVRR-T as the only variable showed a significant difference for disease-free survival (DFS) (hazard ratio [HR] 0.77, 95% confidence interval (CI) 0.63 to 0.96; P = 0.02), aside from cancer site, RECIST, age and IC dose. In multivariate Cox regression analysis, The TVRR-T was also an independently significant prognostic factor for DFS (HR 0.77, 95% CI 0.62 to 0.97; P = 0.02). At a cutoff value using TVRR-T of 50% in Kaplan-Meier survival analysis, the DFS was significant higher with TVRR-T ≥ 50% group (log-rank test, p = 0.024), and also a trend of improved OS. (log-rank test, p = 0.069).ConclusionsTVRR-T was related to improved DFS and trend of improved OS. Other factors including patient’s age at diagnosis, the primary cancer site, and RECIST, were not significantly related to DFS.

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

Chemotherapy ◽

10.1159/000519913 ◽

2022 ◽

pp. 1-10

Author(s):

Cheng Yang ◽

Na Xie ◽

Zhifei Luo ◽

Xiling Ruan ◽

Yixin Zhang ◽

...

Keyword(s):

Colorectal Cancer ◽

Protein Expression ◽

Poor Prognosis ◽

Cancer Metastasis ◽

Mrna Level ◽

Normal Mucosa ◽

Tnm Stage ◽

Expression Levels ◽

Normal Tissues

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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