Literature DB >> 32382336

Cytoskeleton-associated membrane protein 4 is upregulated in tumor tissues and is associated with clinicopathological characteristics and prognosis in hepatocellular carcinoma.

Zhi-Yong Chen1, Ting Wang1, Xia Gan1,2, Si-Hai Chen1, Yu-Ting He1, Yu-Qi Wang1, Kun-He Zhang1.   

Abstract

The role of cytoskeleton-associated membrane protein 4 (CKAP4) in hepatocellular carcinoma (HCC) is controversial. The present study aimed to investigate the association between tumor CKAP4 mRNA expression and clinicopathological characteristics and prognosis in patients with HCC. Data relating to CKAP4 mRNA expression in HCC tumor and normal adjacent liver tissues, and clinicopathological characteristics, were downloaded from the Gene Expression Omnibus and The Cancer Genome Atlas databases. The CKAP4 mRNA levels in tumor tissues were compared with those in normal adjacent liver tissues, their association with clinicopathological parameters was analyzed, and diagnostic and prognostic values were evaluated in patients with HCC. In all 4 datasets (total samples, n=693), CKAP4 mRNA levels were significantly higher in tumor tissues compared with adjacent tissues (all P<0.001), with the area under the receiver operating characteristic curve ranging from 0.799-0.898 for HCC diagnosis. In patients with HCC with available clinical data (n=361), the low-level CKAP4 mRNA group exhibited a lower body mass index (P=0.005), higher α-fetoprotein level (P<0.001), more frequent adjacent liver tissue inflammation (P<0.001), poorer tumor histological grade (P<0.001), higher Ishak fibrosis score (P=0.035) and a more advanced tumor node metastasis (TNM) stage (P=0.014) compared with the high-level CKAP4 mRNA group. Patients stratified by all the above parameters, except for TNM stage, exhibited significantly different expression of tissue CKAP4 mRNA (P<0.05-0.001). Furthermore, higher CKAP4 mRNA levels were observed in patients who died within one year following diagnosis compared with those who survived >3 years (P=0.003). The high-level CKAP4 mRNA group also exhibited lower overall survival (OS) and disease-free survival (DFS) rates compared with the low-level group [hazard ratio (HR)=1.494; 95% confidence interval (CI), 1.044-2.138; P=0.028] for OS and (HR=1.616; 95% CI, 1.022-2.555; P=0.040) for DFS. The results of the present study suggest that CKAP4 mRNA is upregulated in HCC tumor tissues compared with normal adjacent tissues, and is associated with poor clinical prognosis, pathological features and survival in patients with HCC. Thus, CKAP4 is a potential biomarker for HCC diagnosis and prognosis. Copyright: © Chen et al.

Entities:  

Keywords:  The Cancer Genome Atlas; biomarker; cytoskeleton-associated membrane protein 4 mRNA; hepatocellular carcinoma; survival analysis

Year:  2020        PMID: 32382336      PMCID: PMC7202277          DOI: 10.3892/ol.2020.11499

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


Introduction

Hepatocellular carcinoma (HCC), representing 75–85% of primary hepatic carcinoma, was the fourth most frequent cause of cancer-associated mortality worldwide in 2018 (1). There were ~854,000 new liver cancer cases and ~810,000 deaths globally in 2015 (2), with nearly equal rates of incidence and mortality. Although, great advances have been made in surgical and non-surgical treatments in the last decades, the outcome of HCC remains poor (3) and >70% of patients experience recurrence within 5 years (4,5). The poor prognosis of HCC is primarily ascribed to delayed diagnosis (6). The causes of HCC occurrence are complex and involve the accumulation of genetic and epigenetic changes (6). Cellular events are often accompanied by upregulated expression of multiple factors (such as oncogenes) that influence the survival of tumor cells by inhibiting apoptosis and regulating the cell cycle (6). Cytoskeleton-associated membrane protein 4 (CKAP4; also referred to as P63), is a 63-kDa type II transmembrane protein located in the endoplasmic reticulum (7,8). CKAP-4 plays a vital role in maintaining the structure of the endoplasmic reticulum (8–10). Other studies have identified CKAP4 as a cell surface receptor for surfactant protein A, antiproliferative factor and Dickkopf 1 (DKK1) (11–14), which are associated with tumor growth in cervical and bladder cancer (12,13). As a novel DKK1 receptor that stimulates tumor cell proliferation, CKAP4 is frequently upregulated in pancreatic cancer, lung cancer and esophageal squamous cell carcinoma (ESCC), and blocking CKAP4 activity via knockdown or anti-CKAP4 antibodies can prevent xenograft tumor formation (14–16). CKAP4 has also been demonstrated to be upregulated in chronic lymphocytic leukemia (CLL) (17). Recently, exosomal CKAP4 was reported to be a promising biomarker for pancreatic ductal adenocarcinoma (PDAC) (18). In 2013, Li et al (19) first revealed that CKAP4 was associated with progression and metastasis in patients with HCC. CKAP4 expression was demonstrated to be significantly higher in HCC tissues compared with adjacent normal tissues, and was associated with tumor size, intrahepatic metastasis, portal venous invasion and tumor stage; furthermore, upregulated CKAP4 expression increased overall survival (OS) and disease-free survival (DFS) times in patients with HCC. Other studies have revealed that high CKAP4 expression in HCC cells is associated with low proliferative capacity and invasion potential via the suppression of epithelial growth factor receptor (EGFR) signaling (20), which is involved in HCC occurrence and development (6). The serum CKAP4 concentration in patients with HCC was significantly higher compared with patients with chronic hepatitis B and cirrhosis, as well as healthy controls, which suggests that CKAP4 is a promising indicator for HCC diagnosis, especially when combined with α-fetoprotein (AFP) (21). In addition, upregulated CKAP4 expression was observed in HCC in a proteomic study using isobaric tags for relative and absolute quantification (22). The above studies present contradictory results; upregulated CKAP4 expression in HCC is reported to be associated with low growth and favorable prognosis, but in other cancers, CKAP4 expression appears to promote tumor growth and result in worse prognosis. Additionally, an immunohistochemical study comparing CKAP4 protein expression in cholangiocarcinoma and HCC tissues demonstrated no CKAP4 protein expression in HCC (23). In the present study, the association between CKAP4 mRNA expression and HCC was investigated using four CKAP4 datasets of cohorts of patients with HCC from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. The data obtained were used to determine the CKAP4 mRNA expression levels in HCC tumor tissues and adjacent liver tissues, and their diagnostic potential. Associations between CKAP4 mRNA expression and clinicopathological characteristics and the prognosis of patients with HCC were then analyzed.

Materials and methods

Tissue sample data sources

Three gene expression profile datasets of HCC tumor and adjacent tissues, GSE76427 (24), GSE84402 (25) and GSE57957 (26), were downloaded from the GEO database (https://www.ncbi.nlm.nih.gov/) (Fig. 1) and analyzed using software packages in RStudio 3.6.1 version (https://rstudio.com/). The packages ‘illuminaHumanv4 db’ (https://bioconductor.org/packages/illuminaHumanv4 db/) and ‘hgu133plus2 db’ (https://bioconductor.org/packages/hgu133plus2 db/) were used for gene annotation. The aforementioned packages were used to convert gene IDs into gene symbols for subsequent analysis. The packages ‘dplyr’ (http://dplyr.tidyverse.org/) and ‘tibble’ (http://tibble.tidyverse.org/) were used to preprocess the data and the package ‘limma’ (https://bioconductor.org/packages/limma/) was used to determine whether the data required normalization. Log2 normalization was performed for the extracted data. Detailed information regarding tissue samples in the three datasets is presented in Fig. 1.
Figure 1.

Flow chart providing details of the datasets, including tissue or patient numbers, used in the present study. HCC, hepatocellular carcinoma; GEO, Gene Expression Omnibus; TCGA-LIHC, The Cancer Genome Atlas-Liver Cancer database; CKAP4, cytoskeleton-associated membrane protein 4.

In addition, a liver cancer (LIHC) dataset with RNAseq data was downloaded from TCGA database (https://portal.gdc.cancer.gov/) and consisted of HCC tumor (n=374) and adjacent tissue samples (n=50). LIHC phenotype data were obtained from the GDC TCGA-LIHC cohort (https://gdc.xenahubs.net/), which contained 469 cases. All the data were processed using software packages in the R program, including ‘dplyr’, ‘tidyr’ (http://tidyr.tidyverse.org/), ‘DESeq2’ (https://bioconductor.org/packages/DESeq2/) and ‘edgeR’ (https://bioconductor.org/packages/edgeR/). Log2(count+1) normalization of the CKAP4 mRNA expression data was achieved with ‘DESeq2’ and ‘vst’. Finally, 361 HCC cases with matched CKAP4 mRNA and clinical data were evaluated (Fig. 1).

Presentation of CKAP4 mRNA levels and the diagnostic value of CKAP4 mRNA in patients with HCC

Differences in CKAP4 mRNA levels between tumor and adjacent normal tissues in the four datasets are presented as expression heatmaps and violin plots. The software package ‘pheatmap’ (https://CRAN.R-project.org/package=pheatmap) in the R program was used to plot the heatmaps and the packages ‘ggstatsplot’ (https://indrajeetpatil.github.io/ggstatsplot/) and ‘ggpubr’ (https://rpkgs.datanovia.com/ggpubr/) were used to plot the violin plots. The diagnostic value of the CKAP4 mRNA levels in HCC was evaluated using a receiver operating characteristic (ROC) curve.

Analysis of the association between CKAP4 mRNA levels and clinicopathological characteristics of patients with HCC

Using patient samples with complete clinical data from TCGA-LIHC dataset, the association between CKAP4 mRNA levels in tumor tissues and clinical characteristics was analyzed. The patients were divided into high- and low-level CKAP4 mRNA groups using the median CKAP4 mRNA level as the cut-off value, and differences in clinical parameters were compared between the 2 groups. In addition, the ‘ggboxplot’ function in the ‘ggpubr’ package of the R program was used to present and compare differences in CKAP4 mRNA expression based on clinical parameters, demonstrating significant differences between the initial high- and low-level CKAP4 mRNA groups.

Survival analyses associated with CKAP4 mRNA levels in patients with HCC

Survival analyses were performed in the cohort of 361 patients with HCC from TCGA-LIHC dataset. In this analysis, cases with a follow-up time of <30 days after curative surgical resection were excluded. Univariate Cox regression analysis, was used to evaluate the hazard ratios (HRs), confidence intervals (CI) and P-values of CKAP4 mRNA and the clinicopathological parameters for OS and DFS. However, multivariate Cox regression analysis was not conducted owing to an insufficient number of cases with complete data. Kaplan-Meier survival analysis of the predictive power of CKAP4 mRNA levels for OS and DFS of patients with HCC after hepatectomy was performed using the packages ‘survival’ (https://github.com/therneau/survival/) and ‘survminer’ (https://rpkgs.datanovia.com/survminer/) in R. CKAP4 mRNA expression levels were compared among patients with different survival times and among patients with different recurrence times after hepatectomy using the function ‘ggboxplot’ in the ‘ggpubr’ packages in R software.

Statistical analysis

Data are presented as the mean ± SD, median and interquartile range (IQR), or constituent ratio, according to the data type. The paired t-test (for groups with completely paired tumor and adjacent samples), unpaired t-test (for independent groups) and χ2 test were used to compare CKAP4 mRNA levels between two groups and calculated using R. One-way ANOVA followed by Bonferroni's post-hoc test was used for comparing differences in the CKAP4 mRNA levels between multiple groups, and calculated using SPSS Statistics software v.24.0 (IBM Corp.). Ridit analysis and the Mann-Whitney U test were used to compare differences in clinicopathological parameters between the low- and high-level CKAP4 mRNA groups, and calculated using SPSS v.24.0. Kaplan-Meier curves were generated and compared using the Tarone-Ware test (for survival plots where crossover between the groups is observed) or log-rank test in R. Univariate Cox regression analysis was used to calculate HRs and their 95% CIs, as well as the associated P values. A two-sided P<0.05 was considered to indicate a statistically significant difference.

Results

CKAP4 mRNA levels are elevated in tumor tissues compared with adjacent liver tissues in patients with HCC

Heat maps and violin plots were used to intuitively display CKAP4 mRNA expression in tumor and adjacent liver tissues, and areas under ROC curves were used to evaluate the diagnostic value for HCC. Heat maps of CKAP4 mRNA levels in all four datasets demonstrate elevated (‘hot’) expression in tumor tissues and reduced (‘cold’) expression in adjacent liver tissues (Fig. 2A-D). Compared with adjacent liver tissues, tumor tissues from patients with HCC exhibit significantly upregulated CKAP4 mRNA levels (following normalization); furthermore, CKAP4 mRNA demonstrated moderate power for the diagnosis of HCC in all of the datasets, with AUCs ranging from 0.799–0.898, indicating its potential diagnostic value in HCC (Fig. 2A-D).
Figure 2.

CKAP4 mRNA expression heat maps and levels in tumor tissues and adjacent liver tissues (violin plots) and the corresponding receiver operating curves for diagnosing HCC in the (A) GSE76427, (B) GSE84402, (C) GSE57957 and (D) TCGA-LIHC datasets from the GEO and TCGA databases. In the heat maps, red represents upregulation of CKAP4 mRNA and blue represents downregulation of CKAP4 mRNA; numbers in the center of the violin plots representing the median value of CKAP4 mRNA. HCC, hepatocellular carcinoma; GEO, Gene Expression Omnibus; TCGA-LIH, The Cancer Genome Atlas-Liver Cancer database; CKAP4, cytoskeleton-associated membrane protein 4; AUC, area under curve; CI, confidence interval.

Association between CKAP4 mRNA levels and clinical characteristics of patients with HCC

Clinicopathological and demographic characteristics were obtained for the 361 patients with HCC from TCGA database, and are summarized in Table I. Body mass index (BMI) (P=0.005), AFP level (P<0.001), tumor histological grade (P<0.001), adjacent liver tissue inflammation event (P<0.001), Ishak fibrosis score (P=0.035), and American Joint Committee on Cancer (AJCC) tumor node metastasis (TNM) stage (P=0.014) were associated with CKAP4 mRNA levels, as they significantly differed between the high- and low-level CKAP4 mRNA groups (Table I). The CKAP4 mRNA levels were further compared between subgroups for each of these parameters (Fig. 3), and the results demonstrated that CKAP4 mRNA levels in tumor tissues were significantly different between the subgroups for all five parameters, except for AJCC TNM stage (Fig. 3).
Table I.

Differences in clinicopathological and demographic characteristics between high- and low-level CKAP4 mRNA groups in patients with HCC.

CKAP4 mRNA group

CharacteristicPatients, nLow-levelHigh-levelP-value
Age, (years) n, median (IQR)360181, 62.0179, 60.00.119
(53.0–69.0)(51.0–68.0)
Sex, n (%)3610.085
  Male244130 (53.3)114 (46.7)
  Female117  51 (43.6)  66 (56.4)
Ethnicity, n (%)3490.071
  Asian156  68 (43.6)  88 (56.4)
  White176  97 (55.1)  79 (44.9)
  Black or African American17  8 (47.1)  9 (52.9)
History of risk factors, n (%)3420.803
  Alcohol consumption66  36 (54.5)  30 (45.5)
  Hepatitis B94  41 (43.6)  53 (56.4)
  Hepatitis C51  27 (52.9)  24 (47.1)
  Non-alcoholic fatty liver disease17  9 (52.9)  8 (47.1)
  Other28  12 (42.9)  16 (57.1)
  None86  46 (53.5)  40 (46.5)
Family history of cancer, n (%)3120.196
  No203  98 (48.3)105 (51.7)
  Yes109  61 (56.0)  48 (44.0)
Body mass index, kg/m2, n, median (IQR)328167, 25.3161, 23.60.005
(22.4–29.85)(21.2–27.5)
α-fetoprotein, ng/ml, n, median (IQR)271  7 (3–47)35 (8–2466)<0.001
α-fetoprotein, ng/ml, n (%)271<0.001
  <200196121 (61.7)  75 (38.3)
  ≥20075  21 (28.0)  54 (72.0)
Adjacent liver tissue inflammation event, n (%)229<0.001
  No114  78 (68.4)  36 (31.6)
  Yes115  52 (45.2)  63 (54.8)
Tumor histological grade, n (%)356<0.001
  G153  35 (66.0)  18 (34.0)
  G2171  93 (54.4)  78 (45.6)
  G3121  47 (38.8)  74 (61.2)
  G411  3 (27.3)  8 (72.7)
Vascular invasion, n (%)3050.215
  None200108 (54.0)  92 (46.0)
  Micro89  42 (47.2)  47 (52.8)
  Macro16  7 (43.8)  9 (56.2)
Ishak fibrosis score, n (%)2100.035
  0, no fibrosis72  50 (69.4)  22 (30.6)
  1-4, fibrosis59  29 (49.2)  30 (50.8)
  5-6, cirrhosis79  41 (51.9)  38 (48.1)
AJCC TNM stage, n (%)3370.014
  I167  92 (55.1)  75 (44.9)
  II82  38 (46.3)  44 (53.7)
  III84  35 (41.7)  49 (58.3)
  IV4  0 (0.0)  4 (100.0)
Recurrence type, n (%)1520.400
  Extrahepatic3921 (53.8)18 (46.2)
  Intrahepatic6432 (50.0)32 (50.0)
  Locoregional4922 (44.9)27 (55.1)

CKAP4 mRNA low- and high-level groups were stratified by the median value of CKAP4 mRNA expression. CKAP4, cytoskeleton-associated membrane protein 4; HCC, hepatocellular carcinoma; IQR, inter-quartile range; AJCC, American Joint Committee on Cancer; TNM, tumor-node-metastasis.

Figure 3.

Comparisons of CKAP4 mRNA levels between subgroups of 6 significant clinicopathological parameters. (A) Stratified into high- (>median) and low-BMI (≤median) groups using the median BMI value. (B) Stratified by AFP value into high- (>200 ng/ml) and low-AFP (≤200 ng/ml) groups. (C) Stratified by tumor adjacent liver tissue inflammation event into non-inflammation and inflammation groups. (D) Stratified by tumor histological grade into G1-2 and G3-4 groups. (E) Stratified by Ishak fibrosis score into no fibrosis (0), fibrosis (1–4), and cirrhosis (5–6) groups. (F) Stratified by TNM stage into I–II and III–IV groups. BMI, body mass index; AFP, α-fetoprotein; TNM, tumor-node-metastasis; CKAP4, cytoskeleton-associated membrane protein 4.

High CKAP4 mRNA levels are associated with poor prognosis in patients with HCC

Using univariate Cox regression analysis, associations between CKAP4 mRNA levels in tumor tissues and the clinicopathological parameters considered as risk factors for the survival of HCC patients were evaluated, and the results are summarized in Table II. High CKAP4 mRNA levels, macrovascular invasion and TNM III–IV stage are risk factors for both OS and DFS in patients with HCC (Table II). BMI was a protective factor for DFS and hepatitis B was a protective factor for OS and DFS with reference to alcohol consumption (Table II).
Table II.

Associations of CKAP4 mRNA level and other metrics with OS and DFS in patients with HCC.

Cox regression for OSCox regression for DFS


VariablesHR (95% CI)P-valueHR (95% CI)P-value
CKAP4 mRNA
  Low-levelReferenceReference
  High-level1.494 (1.044–2.138)0.0281.616 (1.022–2.555)0.040
Age, years1.007 (0.993–1.021)0.3071.005 (0.978–1.023)0.595
Sex
  MaleReferenceReference
  Female0.810 (0.562–1.167)0.2570.744 (0.471–1.177)0.207
Race
  AsianReferenceReference
  White1.304 (0.885–1.919)0.1790.995 (0.615–1.609)0.984
  Black or African American1.365 (0.540–3.455)0.511NA
History of risk factors
  Alcohol consumptionReferenceReference
  Hepatitis B0.258 (0.136–0.487)<0.0010.471 (0.226–0.985)0.045
  Hepatitis C0.854 (0.474–1.538)0.6000.580 (0.269–1.251)0.165
  Non-alcoholic fatty liver disease0.403 (0.123–1.325)0.1350.787 (0.236–2.628)0.698
  Other0.615 (0.282–1.345)0.2240.695 (0.300–1.610)0.396
  None1.069 (0.667–1.712)0.7821.260 (0.702–2.262)0.439
Family history of cancer
  NoReferenceReference
  Yes1.157 (0.793–1.693)0.4541.314 (0.822–2.10)0.255
Body mass index0.967 (0.934–1.002)0.0630.947 (0.907–0.989)0.014
α-fetoprotein, ng/ml
  <200ReferenceReference
  ≥2001.123 (0.689–1.829)0.6421.818 (0.935–3.535)0.078
Adjacent liver tissue inflammation event
  NoReferenceReference
  Yes1.242 (0.752–2.052)0.3970.927 (0.504–1.704)0.806
Tumor histological grade
  G1ReferenceReference
  G21.220 (0.710–2.096)0.4711.325 (0.664–2.645)0.425
  G3-G41.195 (0.681–2.098)0.5351.789 (0.891–3.592)0.102
Vascular invasion
  NoneReferenceReference
  Micro1.366 (0.858–2.175)0.1891.159 (0.610–2.203)0.652
  Macro2.575 (1.215–5.457)0.0143.104 (1.178–8.181)0.022
Ishak fibrosis score
  0, No fibrosisReferenceReference
  1-4, Fibrosis0.749 (0.381–1.472)0.4030.589 (0.267–1.300)0.190
  5-6, Cirrhosis0.732 (0.396–1.356)0.3210.565 (0.267–1.198)0.137
AJCC TNM stage
  IReferenceReference
  II1.573 (0.938–2.640)0.0861.304 (0.636–2.673)0.468
  III–IV3.209 (2.079–4.954)<0.0013.838 (2.138–6.891)<0.001

CKAP4 mRNA low- and high-level groups were stratified by the median value of CKAP4 mRNA expression. CKAP4, cytoskeleton-associated membrane protein 4; OS, overall survival; DFS: Disease-free survival; HR, hazard ratio; AJCC, American Joint Committee on Cancer; NA, not applicable, sample size too small (n≤5) to perform univariate Cox regression analysis; TNM, tumor node metastasis.

HCC patient survival was compared between the high- and low-level CKAP4 mRNA groups and the results demonstrated significantly lower OS and DFS probabilities in the high-level group (Fig. 4A and B). Additionally, CKAP4 mRNA levels were significantly different between the patients with survival times of <1 year and >3 years (P=0.003; Fig. 4C), and between the patients with a recurrence times <1 year and ≥1 year (P=0.046; Fig. 4D), indicating that higher CKAP4 mRNA levels are associated with poor prognosis.
Figure 4.

Association between CKAP4 mRNA level and survival in patients with HCC. Kaplan-Meier curves for the (A) overall survival (B) disease-free survival of patients with HCC, stratified according to the median CKAP4 mRNA level. (C) Scatter box plots of CKAP4 mRNA levels against survival times of <1 year, 1–3 years and >3 years in patients with HCC. (D) Scatter box plots of CKAP4 mRNA levels against recurrence times of <1 year and ≥1 year in patients with HCC. CKAP4, Cytoskeleton-associated membrane protein 4; HCC, hepatocellular carcinoma.

Discussion

In the present study, CKAP4 mRNA levels in tumor and adjacent liver tissues from patients with HCC were compared, their associations with clinicopathological parameters were analyzed, and their potential diagnostic and prognostic values for HCC were evaluated. The present study demonstrated that CKAP4 mRNA levels were significantly upregulated in tumor tissues [with a moderate area under curve (AUC) for HCC diagnosis], and that this was significantly associated with poor clinicopathological parameters (lower BMI, higher AFP, adjacent liver tissue inflammation event, poor tumor histological grade, higher Ishak fibrosis score, and advanced AJCC TNM stage) and with poor prognosis in patients with HCC (lower OS and DFS survival probabilities, shorter survival and recurrence times after tumor resection). Data were extracted from four independent HCC datasets from the GEO and TCGA databases, and the CKAP4 mRNA levels in tumor and adjacent liver tissues from patients with HCC were compared. All four datasets showed consistent results, indicating that CKAP4 mRNA levels were significantly higher in tumor tissues compared with adjacent liver tissues. These results confirm the upregulation of CKAP4 in tumor tissues in accordance with previous results found in HCC (19) and other types of cancer, including cervical cancer, bladder cancer, lung cancer, pancreatic cancer, ESCC, CLL, PDAC and intrahepatic cholangiocellular carcinoma (12–18,27). CKAP4 upregulation in HCC tissues makes it a potential diagnostic and prognostic biomarker in HCC. In the present study, CKAP4 mRNA provided moderate power for the diagnosis of HCC, with AUCs ranging from 0.799–0.898 for HCC diagnosis. To the best of our knowledge, similar studies involving the diagnostic evaluation of CKAP4 mRNA for HCC have not been conducted; however, Wang et al (21) reported that the serum concentration of CKAP4 protein was significantly elevated in patients with HCC compared with healthy controls, and with patients with chronic hepatitis B and cirrhosis; the study also revealed that 86% of AFP-negative patients with HCC displayed elevated serum CKAP4 levels. Notably, the previously mentioned study reported that a combined biomarker panel of AFP and CKAP4 presents improved diagnostic accuracy for HCC compared with stand-alone analysis of either AFP or CKAP4, even in diagnosing early HCC. Additionally, a good association has been observed between CKAP4 mRNA and protein expression in tissues from patients with HCC (19). These findings indicate that both CKAP4 mRNA in tumor tissue and CKAP4 protein in serum are potential biomarkers for HCC detection that complement AFP evaluation. The findings of the present study also confirmed the prognostic value of CKAP4 mRNA in patients with HCC. Univariate Cox regression analysis revealed that a high CKAP4 mRNA level was one of the three risk factors for OS and DFS in patients with HCC. In the present study, patients with HCC who had a high CKAP4 mRNA level were observed to have unfavorable OS and DFS rates (based on Kaplan-Meier survival curve analyses) and a shorter survival time or shorter recurrence time after curative surgical resection. These results are consistent with previous findings in numerous tumors (14–16) but differ from a report by Li et al (19), which demonstrated that patients with HCC and high CKAP4 mRNA (tissue microarray analysis) and protein (western blot analysis) expression had favorable OS and DFS rates. The present study considers that CKAP4 is associated with poor prognosis in HCC patients, as this conclusion is supported directly by the results of survival analysis, but also indirectly by the significant associations found between CKAP4 mRNA levels and typical prognosis-related clinicopathological factors (Table I), including histological differentiation grade, TNM stage and AFP level. CKAP4 promotes tumor growth in numerous human cancers via different mechanisms. Kimura et al (14) demonstrated that CKAP4 expressed at the plasma membrane stimulated pancreatic and lung cancer cell proliferation by activating the phosphoinositide 3-kinase-AKT pathway; upregulation of CKAP4 was also strongly correlated with tumor growth and poor prognosis in patients. Shinno et al (16) reported that CKAP4 was upregulated in ~40% of patients with ESCC and as a DKK1 receptor in cells activated the AKT pathway and promoted ESCC cell proliferation when DKK1 was highly expressed. DKK1 has also been reported to be upregulated in HCC tissues and associated with advanced tumor stage, metastasis, recurrence, OS and DFS rates (28,29). However, a previous study revealed that CKAP4 inhibited HCC growth and metastasis by suppressing EGFR signaling, which indicates that the effect of CKAP4 in HCC is the opposite of that observed in the other aforementioned cancer types (20). This is also contradictory to previous findings that CKAP4 mRNA is upregulated in tissues from patients with HCC, and significantly associated with tumor size, intrahepatic metastasis and portal venous invasion (19). More rigorous experiments are required to elucidate the effect and mechanism of CKAP4 in HCC growth and progression. The present study has several limitations. Firstly, the HCC clinical data from the GDC TCGA-LIHC database were incomplete; thus, the sample size was insufficient for multivariate Cox regression analysis, and to subsequently conclude that CKAP4 mRNA is an independent risk factor for HCC prognosis. Secondly, although the upregulation of CKAP4 mRNA was confirmed in each of the four independent datasets, only one available dataset included clinical data that could be used to evaluate the diagnostic and prognostic significance of CKAP4 mRNA in HCC. Thus, cohorts with more patients with HCC are required to validate the results of the present study. Also, there were no data demonstrating CKAP4 protein expression in tumor and corresponding adjacent tissues for simultaneous analysis, although a strong correlation between CKAP4 mRNA and protein expression has been observed previously (19). Future large-scale studies without the aforementioned limitations are required to verify the findings of the present study. In view of the controversial role of CKAP4 in HCC growth and progression, the present study extracted data from the GEO and TCGA public databases to systematically investigate the relationship between CKAP4 mRNA and HCC. The findings of the present study confirmed that significantly higher CKAP4 mRNA levels are present in tumor tissues compared with adjacent liver tissues in patients with HCC, and that this upregulation is closely associated with poor clinicopathological conditions and outcome; this indicated the potential value of CKAP4 in HCC diagnosis and prognosis. To the best of our knowledge, this is the first study to investigate the association between CKAP4 mRNA expression in tumor tissues and the clinical characteristics of HCC based on data in public databases.
  29 in total

1.  Comparative immunohistochemical expression of p63 in human cholangiocarcinoma and hepatocellular carcinoma.

Authors:  Fernando S Ramalho; Leandra N Z Ramalho; Livia Della Porta; Sérgio Zucoloto
Journal:  J Gastroenterol Hepatol       Date:  2006-08       Impact factor: 4.029

2.  Prevention of recurrence after resection of hepatocellular carcinoma: a daunting challenge.

Authors:  Ronnie T P Poon
Journal:  Hepatology       Date:  2011-09-02       Impact factor: 17.425

3.  CKAP4 is a Dickkopf1 receptor and is involved in tumor progression.

Authors:  Hirokazu Kimura; Katsumi Fumoto; Kensaku Shojima; Satoshi Nojima; Yoshihito Osugi; Hideo Tomihara; Hidetoshi Eguchi; Yasushi Shintani; Hiroko Endo; Masahiro Inoue; Yuichiro Doki; Meinoshin Okumura; Eiichi Morii; Akira Kikuchi
Journal:  J Clin Invest       Date:  2016-06-20       Impact factor: 14.808

4.  Proteomics Profiling of CLL Versus Healthy B-cells Identifies Putative Therapeutic Targets and a Subtype-independent Signature of Spliceosome Dysregulation.

Authors:  Harvey E Johnston; Matthew J Carter; Marta Larrayoz; James Clarke; Spiro D Garbis; David Oscier; Jonathan C Strefford; Andrew J Steele; Renata Walewska; Mark S Cragg
Journal:  Mol Cell Proteomics       Date:  2018-01-24       Impact factor: 5.911

5.  CKAP4/p63 is a receptor for the frizzled-8 protein-related antiproliferative factor from interstitial cystitis patients.

Authors:  Thomas P Conrads; Gillian M Tocci; Brian L Hood; Chen-Ou Zhang; Li Guo; Kristopher R Koch; Christopher J Michejda; Timothy D Veenstra; Susan K Keay
Journal:  J Biol Chem       Date:  2006-10-08       Impact factor: 5.157

6.  Role of P63 (CKAP4) in binding of surfactant protein-A to type II pneumocytes.

Authors:  Sandra R Bates; Altaf S Kazi; Jian-Qin Tao; Kevin J Yu; Daniel S Gonder; Sheldon I Feinstein; Aron B Fisher
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2008-08-15       Impact factor: 5.464

7.  Overexpression of Dickkopf-1 predicts poor prognosis for patients with hepatocellular carcinoma after orthotopic liver transplantation by promoting cancer metastasis and recurrence.

Authors:  Yan Huang; Xinrong Yang; Fengbo Zhao; Qiujin Shen; Zhiwei Wang; Xiufang Lv; Baoying Hu; Bin Yu; Jia Fan; Wenxin Qin
Journal:  Med Oncol       Date:  2014-05-31       Impact factor: 3.064

8.  Antiproliferative factor decreases Akt phosphorylation and alters gene expression via CKAP4 in T24 bladder carcinoma cells.

Authors:  Hanief M Shahjee; Kristopher R Koch; Li Guo; Chen-Ou Zhang; Susan K Keay
Journal:  J Exp Clin Cancer Res       Date:  2010-12-10

9.  Characterization of a novel 63 kDa membrane protein. Implications for the organization of the ER-to-Golgi pathway.

Authors:  A Schweizer; M Ericsson; T Bächi; G Griffiths; H P Hauri
Journal:  J Cell Sci       Date:  1993-03       Impact factor: 5.285

10.  The Burden of Primary Liver Cancer and Underlying Etiologies From 1990 to 2015 at the Global, Regional, and National Level: Results From the Global Burden of Disease Study 2015.

Authors:  Tomi Akinyemiju; Semaw Abera; Muktar Ahmed; Noore Alam; Mulubirhan Assefa Alemayohu; Christine Allen; Rajaa Al-Raddadi; Nelson Alvis-Guzman; Yaw Amoako; Al Artaman; Tadesse Awoke Ayele; Aleksandra Barac; Isabela Bensenor; Adugnaw Berhane; Zulfiqar Bhutta; Jacqueline Castillo-Rivas; Abdulaal Chitheer; Jee-Young Choi; Benjamin Cowie; Lalit Dandona; Rakhi Dandona; Subhojit Dey; Daniel Dicker; Huyen Phuc; Donatus U. Ekwueme; Maysaa El Sayed Zaki; Florian Fischer; Thomas Fürst; Jamie Hancock; Simon I. Hay; Peter Hotez; Sun Ha Jee; Amir Kasaeian; Yousef Khader; Young-Ho Khang; Anil Kumar; Michael Kutz; Heidi Larson; Alan Lopez; Raimundas Lunevicius; Reza Malekzadeh; Colm McAlinden; Toni Meier; Walter Mendoza; Ali Mokdad; Maziar Moradi-Lakeh; Gabriele Nagel; Quyen Nguyen; Grant Nguyen; Felix Ogbo; George Patton; David M. Pereira; Farshad Pourmalek; Mostafa Qorbani; Amir Radfar; Gholamreza Roshandel; Joshua A Salomon; Juan Sanabria; Benn Sartorius; Maheswar Satpathy; Monika Sawhney; Sadaf Sepanlou; Katya Shackelford; Hirbo Shore; Jiandong Sun; Desalegn Tadese Mengistu; Roman Topór-Mądry; Bach Tran; Vasiliy Vlassov; Stein Emil Vollset; Theo Vos; Tolassa Wakayo; Elisabete Weiderpass; Andrea Werdecker; Naohiro Yonemoto; Mustafa Younis; Chuanhua Yu; Zoubida Zaidi; Liguo Zhu; Christopher J. L. Murray; Mohsen Naghavi; Christina Fitzmaurice
Journal:  JAMA Oncol       Date:  2017-12-01       Impact factor: 31.777

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