Literature DB >> 36110251

Clinicopathological Implications of ASAP1 Expression in Hepatocellular Carcinoma.

Seongsik Bang1, Seungyun Jee1, Hwangkyu Son1, Hyebin Cha1, Jongmin Sim2, Yeseul Kim2, Hosub Park1, Jaekyung Myung1, Hyunsung Kim1, Seungsam Paik1.   

Abstract

Background: The expression of ArfGAP with SH3 domain ankyrin repeat and PH domain 1 (ASAP1) is increased in various types of cancer, showing potential as a prognostic marker. The clinicopathological implications of ASAP1 expression in patients with hepatocellular carcinoma (HCC) remain unclear. We thus investigated the clinicopathological significance and prognostic effect of ASAP1 expression in HCC patients. Materials and
Methods: ASAP1 expression was assessed in 149 HCC tissue samples using immunohistochemistry (IHC). The associations between ASAP1 expression and clinicopathological characteristics were analyzed. The prognostic effect of ASAP1 expression in patients with HCC was evaluated based on survival analyses and confirmed using a web-based tool.
Results: ASAP1 expression was observed in the cytoplasm of tumor cells. High ASAP1 expression was observed in 89 (59.7%) of 149 cases. High ASAP1 expression was significantly associated with male patients (p = 0.018), higher histological grade (p = 0.013), vessel invasion (p = 0.021), and higher stage (p = 0.020). High ASAP1 expression was associated with shorter overall survival (OS; p = 0.041) and recurrence-free survival (RFS; p = 0.008) based on Kaplan-Meier survival analyses. Web-based analysis using Kaplan-Meier (KM) plotter showed high mRNA ASAP1 expression to be associated with short OS (p = 0.001).
Conclusion: High ASAP1 expression was associated with aggressive clinicopathological characteristics and poor clinical outcomes in patients with HCC. ASAP1 can be considered a prognostic biomarker in HCC patients.
Copyright © 2022 Bang, Jee, Son, Cha, Sim, Kim, Park, Myung, Kim and Paik.

Entities:  

Keywords:  ASAP1; ArfGAP with SH3 domain ankyrin repeat and PH domain 1; hepatocellular carcinoma; immunohistochemistry; prognosis

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Substances:

Year:  2022        PMID: 36110251      PMCID: PMC9468229          DOI: 10.3389/pore.2022.1610635

Source DB:  PubMed          Journal:  Pathol Oncol Res        ISSN: 1219-4956            Impact factor:   2.874


Introduction

Primary liver cancer is a common type of cancer and the leading cause of cancer-related deaths worldwide. According to the GLOBOCAN database, primary liver cancer was the sixth most frequently diagnosed cancer and the fourth most common cause of cancer-related deaths in 2020 (1). Hepatocellular carcinoma (HCC) accounts for the majority (75%–90%) of liver cancers, and the incidence varies by region depending on etiological factors such as hepatitis B virus (HBV), hepatitis C virus (HCV), and alcohol intake (2,3). For treatment of HCC, classical treatment modalities (locoregional therapies and surgical resection) have been mainly considered; recently, multikinase inhibitors and immune agents were included as treatment options based on the molecular mechanisms of cancer (4). However, patients with advanced HCC still have a poor prognosis, and research to discover clinically useful predictive and prognostic biomarkers is essential. ArfGAP with SH3 domain ankyrin repeat and PH domain 1 (ASAP1/AMAP1/DDEF1) is a downstream molecule of the ADP-ribosylation factor (ARF) family and is involved in various biological functions such as membrane trafficking and cell movement (5-7). The role of ASAP1 in cancer has been investigated in numerous studies. Overexpression of ASAP1 was identified in cancer cell lines including uveal melanoma, prostate cancer, breast cancer, and colorectal cancer, indicating that ASAP1 promotes cancer invasion and metastasis (8-12). Similarly, in studies using cancer tissue obtained from patients, ASAP1 acted as an oncogene, and its potential as a prognostic marker was recognized. Increased ASAP1 expression in different types of cancer, including colon cancer, head and neck squamous cell carcinoma, epithelial ovarian cancer, renal cancer, pancreas cancer, gastric cancer, and triple-negative breast cancer, was associated with poor prognosis and aggressive clinical features (12-20). Wang et al. found the ASAP1 mRNA level to be increased in human HCC tissues compared with non-tumor tissues. They demonstrated that ASAP1 was co-expressed with eukaryotic translation initiation factor 5B (eIF5B) and suggested that eIF5B might promote proliferation and metastasis through increased ASAP1 expression (21). However, the effects on patient prognosis and clinicopathological parameters of ASAP1 expression have not been clearly identified. Therefore, in the present study, we investigated the correlations between ASAP1 expression and clinicopathological characteristics in human HCC tissues and their prognostic significance through immunohistochemical (IHC) staining.

Materials and Methods

Patient Selection and Data Collection

The present study included liver cancer patients who underwent surgical treatment at Hanyang University Hospital (Seoul, Korea) between January 1991 and September 2013, and 166 patients with complete follow-up data were retrospectively enrolled. We excluded 17 cases with unavailable tumor tissue or who underwent preoperative treatment (embolization or ablation). Finally, 149 cases were included in the present study. To compare the ASAP1 expression between HCC and normal liver parenchyma, we additionally obtained 12 normal liver tissues. Two pathologists (HK and SP) reviewed all tissue slides and pathology reports used at diagnosis. We obtained tumor size, histological grade, vessel invasion, perineural invasion, tumor focality, proliferation index, and pathological stage. Edmondson and Steiner grading system was used to evaluate histological grade, and the pathological stage was based on the 8th edition of the American Joint Committee on Cancer (AJCC). The proliferation index was evaluated using IHC staining for Ki-67 protein. Medical records were reviewed to obtain clinical characteristics, including patient age, sex, etiological factors, underlying diseases, alpha-fetoprotein (AFP) level, Child-Pugh class, Barcelona Clinic Liver Cancer (BCLC) stage, and follow-up data. The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board of the Hanyang University Hospital (IRB file No. HYUH 2015-12-017). The requirement for informed consent was waived.

Tissue Microarray Construction

A manual tissue microarrayer (Unitma, Seoul, Korea) and formalin-fixed paraffin-embedded tissues were used for tissue microarray (TMA) construction. We selected a representative portion of the tumor that contained almost no necrosis by light microscopy and obtained tissue cores (2.0 mm in diameter, 1 core per case) from the corresponding donor block. Then, the tissue cores were transferred to a recipient block consisting of 8 × 5 samples.

Immunohistochemistry

IHC staining for ASAP1 was performed with 4-μm-thick sections using the Benchmark XT automated staining system (Ventana Medical Systems, Tucson, AZ, United States). Heat-induced epitope retrieval is performed with CC1 Tris-EDTA buffer (Ventana Medical Systems, Tucson, AZ, United States) at 100°C for 80 min. Subsequent procedures were performed with OptiView DAB IHC Detection Kit (Ventana Medical Systems, Tucson, AZ, United States). For blocking endogenous peroxidase, OptiView Peroxidase Inhibitor was used, and Optiview DAB was used as Chromogen. Counterstaining was performed using modified Mayer’s hematoxylin (Hematoxylin II). The recombinant anti-ASAP1 antibody (ab125729, Abcam, Cambridge, UK; diluted 1:200) was used as the primary antibody. IHC staining for Ki-67 (M7240, Dako, Glostrup, Denmark) was performed using the Bond-Max automated immunostainer (Leica Biosystems, Wetzlar, Germany).

Assessment of Immunohistochemistry

As reported in previous studies (10, 12, 14-16, 19), we considered cytoplasmic staining of the tumor cells to be positive. All IHC sections were evaluated using light microscopy by two pathologists (SB and SP) without access to clinical data. For semi-quantitative assessment, the immunoreactive score (IRS) was calculated as the product of staining intensity and proportion of positive cells. The intensity of staining was categorized as 0–3 (0: negative, 1: weak, 2: moderate, and 3: strong), and the proportion of staining was assigned as 0 (0%), 1 (1%–25%), 2 (26%–50%), 3 (51–75%), and 4 (>75%). A receiver operating characteristics (ROC) curve analysis was used to determine the optimal cutoff value, and we divided the cases into low and high expression groups (IRS ≤4 and IRS >4, respectively).

Web-Based Survival Analysis

Kaplan-Meier plotter (KM plotter, http://kmplot.com/analysis/) was used to predict the association between the mRNA expression level of ASAP1 and the survival of HCC patients. KM plotter is a web-based tool based on The Cancer Genome Atlas (TCGA) data and includes 364 HCC cases with available follow-up data (22). Using this tool, HCC cases were divided into two groups (high or low expression), and the effect of ASAP1 expression on the prognosis was estimated through survival analysis (23).

Statistical Analyses

We used SPSS software version 25.0 (IBM, Armonk, NY, United States) for statistical analysis. ASAP1 expression in HCC and normal liver tissue was compared using the Mann-Whitney U test. The correlations between ASAP1 expression and clinicopathological characteristics were analyzed using Pearson’s chi-square (χ2) or Fisher’s exact test. Overall survival (OS) and recurrence-free survival (RFS) of HCC patients were evaluated using the Kaplan-Meier method with log-rank test. The Cox proportional hazards model was used to determine the significant prognostic factors. We used univariate analysis to determine the effect of individual parameters (ASAP1 expression and other clinicopathological factors) on OS or RFS. Then, multivariate analysis was used to analyze how prognostic factors jointly affect. A two-tailed p-value < 0.05 was considered statistically significant.

Results

Baseline Characteristics

The median age of the patients was 55 years (range: 28–87 years), and the male/female ratio was 3.02:1. Among etiological factors, HBV (123 cases, 82.6%) was the most common, followed by alcohol intake (10 cases, 6.7%) and HCV (7 cases, 4.7%). Based on the Edmondson and Steiner grading system, 12 cases (8.1%) were grade 1, 54 cases (36.2%) were grade 2, 70 cases (47.0%) were grade 3, and 13 cases (8.7%) were grade 4. Vessel invasion was identified in 59 cases (39.6%). Most patients were stage I or II (126 cases, 84.6%) according to the 8th AJCC staging system. Among patients, 65 (43.6%) received only curative surgery, 5 (3.4%) received radiofrequency ablation, 68 (45.6%) received chemoembolization, 6 (4.0%) received systemic chemotherapy, and 5 (3.4%) received combined treatment. The clinicopathological characteristics of patients with HCC are summarized in Table 1.
TABLE 1

Clinicopathological characteristics of patients with HCC (n = 149).

Clinicopathological characteristicsCase no. (%)
Age, median (range, years)55 (28–87)
Sex
 Male112 (75.2%)
 Female37 (24.8%)
Etiological factors
 HBV123 (82.6%)
 HCV7 (4.7%)
 Alcohol intake10 (6.7%)
 None9 (6.0%)
Underlying diseases
 Cirrhosis131 (87.9%)
 Hepatitis15 (10.1%)
 None3 (2.0%)
AFP level
 <40097 (65.1%)
 ≥40034 (22.8%)
 Not reported18 (12.1%)
Child-Pugh class
 A138 (92.6%)
 B11 (7.4%)
BLCL stage
 A85 (57.0%)
 B5 (3.4%)
 C59 (39.6%)
Tumor size, mean (range, cm)4.5 (0.7–22.0)
Histological grade (Edmondson and Steiner grading system)
 Grade 112 (8.1%)
 Grade 254 (36.2%)
 Grade 370 (47.0%)
 Grade 413 (8.7%)
Vessel invasion
 Present59 (39.6%)
 Not identified90 (60.4%)
Perineural invasion
 Present4 (2.7%)
 Not identified145 (97.3%)
Tumor focality
 Single125 (83.9%)
 Multiple24 (16.1%)
Proliferation index (Ki-67 index)
 <1%114 (76.5%)
 ≥1%35 (23.5%)
Stage (AJCC 8th edition)
 IA22 (14.8%)
 IB59 (39.6%)
 II45 (30.2%)
 IIIA6 (4.0%)
 IIIB17 (11.4%)
Additional treatments
 None65 (43.6%)
 Radiofrequency ablation5 (3.4%)
 Chemoembolization68 (45.6%)
 Systemic chemotherapy6 (4.0%)
 Combined5 (3.4%)

HCC, hepatocellular carcinoma; HBV, hepatitis B virus; HCV, hepatitis C virus; AFP, alpha-fetoprotein; BLCL, Barcelona Clinic Liver Cancer; AJCC, American Joint Committee on Cancer.

Clinicopathological characteristics of patients with HCC (n = 149). HCC, hepatocellular carcinoma; HBV, hepatitis B virus; HCV, hepatitis C virus; AFP, alpha-fetoprotein; BLCL, Barcelona Clinic Liver Cancer; AJCC, American Joint Committee on Cancer.

ASAP1 Expression in HCC and Normal Liver Tissue

We evaluated ASAP1 expression in 12 normal liver tissues and 149 HCC tissues. The mean IRS of ASAP1 expression was 2.50 (±1.88) in normal liver tissues and 6.26 (±3.16) in HCC tissues. The mean rank of IRS in HCC was significantly higher than that of normal liver tissues (p = 0.001, Mann-Whitney U test).

Correlations Between ASAP1 Expression and Clinicopathological Characteristics

Representative photomicrographs of ASAP1 IHC are presented in Figure 1, and we presented raw data including IHC results and clinicopathological characteristics for each case as Supplementary Material. Among the 149 cases, 89 (59.7%) were classified as high ASAP1 expression. High ASAP1 expression was significantly associated with male patients (p = 0.018), higher histological grade (p = 0.013), vessel invasion (p = 0.021), and higher stage (p = 0.020). High ASAP1 expression was identified more frequently in cirrhotic HCC than in non-cirrhotic HCC, however, it was not statistically significant (p = 0.054). The correlations between ASAP1 expression and clinicopathological characteristics are summarized in Table 2.
FIGURE 1

Representative photomicrographs of immunohistochemical staining with ASAP1 in hepatocellular carcinoma (x200). Negative (A), weak (B), moderate (C), and strong (D) cytoplasmic expression.

TABLE 2

Correlations between ASAP1 expression and clinicopathological characteristics in patients with HCC (n = 149).

VariablesASAP1 expression p-value
Low expression (%) (n = 60)High expression (%) (n = 89)
Age0.550
 <60 years39 (38.6%)62 (61.4%)
 ≥60 years21 (51.4%)27 (48.6%)
Sex0.018
 Female21 (56.8%)16 (43.2%)
 Male39 (34.8%)73 (65.2%)
Underlying diseases0.054
 Non‐cirrhotic HCC11 (61.1%)7 (38.9%)
 Cirrhotic HCC49 (37.4%)82 (62.6%)
AFP level a 0.307
 <40044 (45.4%)53 (54.6%)
 ≥40012 (35.3%)22 (64.7%)
Tumor size0.793
 ≤5 cm43 (41.0%)62 (59.0%)
 >5 cm17 (38.6%)27 (61.4%)
Histological grade0.013
 Grade 1 or 234 (51.5%)32 (48.5%)
 Grade 3 or 426 (31.3%)57 (68.7%)
Vessel invasion0.021
 Not identified43 (47.8%)47 (52.2%)
 Present17 (28.8%)42 (71.2%)
Perineural invasion0.649 b
 Not identified59 (40.7%)86 (59.3%)
 Present1 (25.0%)3 (75.0%)
Tumor focality0.226
 Single53 (42.4%)72 (57.6%)
 Multiple7 (29.2%)17 (70.8%)
Proliferation index (Ki-67 index)0.844
 <1%45 (39.5%)69 (60.5%)
 ≥1%15 (42.9%)20 (57.1%)
Stage (AJCC 8th edition)0.020 b
 I or II56 (44.4%)70 (55.6%)
 III4 (17.4%)19 (82.6%)

AFP level, 18 cases missed.

Fisher’s exact test.

Acronyms: HCC, hepatocellular carcinoma; AFP, alpha-fetoprotein; ASAP1, ArfGAP with SH3 domain ankyrin repeat and PH domain 1; AJCC, American Joint Committee on Cancer.

Representative photomicrographs of immunohistochemical staining with ASAP1 in hepatocellular carcinoma (x200). Negative (A), weak (B), moderate (C), and strong (D) cytoplasmic expression. Correlations between ASAP1 expression and clinicopathological characteristics in patients with HCC (n = 149). AFP level, 18 cases missed. Fisher’s exact test. Acronyms: HCC, hepatocellular carcinoma; AFP, alpha-fetoprotein; ASAP1, ArfGAP with SH3 domain ankyrin repeat and PH domain 1; AJCC, American Joint Committee on Cancer.

Prognostic Implication of ASAP1 Expression

Based on the Kaplan-Meier method, high ASAP1 expression was significantly associated with shorter OS and RFS (p = 0.041 and p = 0.008, respectively; Figures 2A,B) in 149 patients with HCC. Univariate analyses for OS and RFS showed ASAP1 expression as a significant prognostic factor (p = 0.042 and p = 0.009, respectively). Among other clinicopathological factors, higher histological grade (p = 0.008), vessel invasion (p < 0.001), and higher stage (p = 0.001) were associated with shorter OS. Higher histological grade (p = 0.003), vessel invasion (p < 0.001), perineural invasion (p = 0.010), and higher stage (p < 0.001) were associated with shorter RFS. In multivariate analyses, short OS and RFS were significantly associated with higher histological grade (p = 0.009 and p = 0.003, respectively) and higher AJCC stage (p = 0.003 and p < 0.001, respectively); however, high ASAP1 expression did not remain statistically significant (Table 3). Similar to the results of the present study, the web-based analysis using the KM plotter demonstrated that high mRNA expression of ASAP1 was associated with shorter OS (p = 0.001, FDR = 0.2; Figure 2C).
FIGURE 2

Prognostic implication of ASAP1 expression. (A,B) Survival analyses using the Kaplan-Meier method in patients with hepatocellular carcinoma. There was significant difference in overall survival (log-rank test, p = 0.041) and recurrence-free survival (log-rank test, p = 0.008). (C) Web-based analysis using a Kaplan-Meier plotter demonstrated that the group with high ASAP1 mRNA expression showed poor prognosis in patients with hepatocellular carcinoma (n = 364; log-rank test, p = 0.001).

TABLE 3

Univariate and multivariate Cox regression analyses for OS and RFS in patients with HCC (n = 149).

OS
VariablesUnivariate analysisMultivariate analysis
HR95% CI p-valueHR95% CI p-value
ASAP1 expression (low vs. high)1.5871.016–2.4810.0421.2940.810–2.0670.281
Age group (<60 years vs. ≥ 60 years)1.1780.744–1.8630.485
Tumor size (≤5 cm vs. > 5 cm)1.3510.868–2.1030.183
Histological grade (grade 1 or 2 vs. grade 3 or 4)1.7961.165–2.7690.0081.7831.152–2.7590.009
Vessel invasion (not identified vs. present)2.2461.470–3.432<0.001
Perineural invasion (not identified vs. present)2.9580.921–9.4960.068
Tumor focality (single vs. multiple)1.1210.642–1.9570.687
Stage a (I or II vs. III)2.5061.467–4.2820.0012.3231.324–4.0750.003
RFS
 Variables Univariate analysis Multivariate analysis
HR 95% CI p-value HR 95% CI p-value
ASAP1 expression (low vs. high)1.9751.182–3.3000.0091.5650.920–2.6620.099
Age group (<60 years vs. ≥ 60 years)0.9830.580–1.6670.950
Tumor size (≤5 cm vs. > 5 cm)0.9660.567–1.6480.900
Histological grade (grade 1 or 2 vs. grade 3 or 4)2.1081.292–3.4380.0031.7831.152–2.7590.003
Vessel invasion (not identified vs. present)3.2392.007–5.228<0.001
Perineural invasion (not identified vs. present)4.8191.456–15.9480.0101.5100.424–5.3750.524
Tumor focality (single vs. multiple)1.6260.937–2.7000.097
Stage* (I or II vs. III)3.6162.006–6.518<0.0013.2631.702–6.254<0.001

*Stage, AJCC 8th edition. Acronyms: OS, overall survival; RFS, recurrence-free survival; HCC, hepatocellular carcinoma; ASAP1, ArfGAP with SH3 domain ankyrin repeat and PH domain 1; HR, hazard ratio; 95% CI, 95% confidence interval.

Prognostic implication of ASAP1 expression. (A,B) Survival analyses using the Kaplan-Meier method in patients with hepatocellular carcinoma. There was significant difference in overall survival (log-rank test, p = 0.041) and recurrence-free survival (log-rank test, p = 0.008). (C) Web-based analysis using a Kaplan-Meier plotter demonstrated that the group with high ASAP1 mRNA expression showed poor prognosis in patients with hepatocellular carcinoma (n = 364; log-rank test, p = 0.001). Univariate and multivariate Cox regression analyses for OS and RFS in patients with HCC (n = 149). *Stage, AJCC 8th edition. Acronyms: OS, overall survival; RFS, recurrence-free survival; HCC, hepatocellular carcinoma; ASAP1, ArfGAP with SH3 domain ankyrin repeat and PH domain 1; HR, hazard ratio; 95% CI, 95% confidence interval.

Discussion

In the present study, IHC for ASAP1 was performed using human HCC tissues, and each case was classified into a high expression or low expression group. We then assessed the association of ASAP1 expression with clinicopathological features and prognostic significance. High ASAP1 expression was significantly associated with male patients, higher histological grade, vessel invasion, and higher stage. In survival analyses, high ASAP1 expression was associated with a poor prognosis of HCC patients, which was consistent with the result of web-based analysis (KM plotter). ASAP1 is a downstream molecule of the ARF family and considered an important component of invasion and metastasis as an effector of ARF6 in various tumors (24). Many studies have suggested that ASAP1 expression or co-expression with other signaling molecules has potential as a prognostic biomarker. Müller et al. reported that ASAP1 expression correlates with metastasis and poor OS of patients with colorectal adenocarcinoma (12). Li et al. and Sato et al. showed high ASAP1 expression or co-overexpression of EGFR to be associated with poor prognosis in head and neck squamous cell carcinoma patients (13,14). Hou et al. reported that increased ASAP1 expression was an independent prognostic factor in epithelial ovarian cancer patients (15). Hashimoto et al. revealed that high expression or simultaneous high ASAP1 expression with erythrocyte membrane protein band 4.1 like 5 (EPB41L5) and lysophosphatidic acid receptor 2 (LPAR2) in renal cancer inidicates a poor prognosis (16). Hashimoto et al. reported high ASAP1 expression or co-overexpression of platelet-derived growth factor receptor-beta (PDGFRβ) and EPB41L5 in pancreatic cancer to be associated with poor prognosis (17). Luo et al. showed that high ASAP1 expression and focal adhesion kinase (FAK) was associated with aggressive pathologic features and poor prognosis (18). He et al. and Kinoshita et al. reported that high ASAP1 expression or co-overexpression of guanine nucleotide-exchange protein (GEP100) in breast cancer was associated with tumor recurrence (20, 25). In several recent studies, the association between the ARF6–ASAP1 pathway and immune evasion in cancer was investigated. Hashimoto et al. showed that programmed death-ligand 1 (PD-L1) expression on the surface of pancreatic cancer cells was significantly reduced after silencing ARF6 and ASAP1 (17). In addition, Tsutaho et al. revealed that high ASAP1 expression in resected tissue of human pancreatic cancer was significantly correlated with high PD-L1 level (26). Horikawa et al. revealed that ASAP1 knockdown significantly reduced carbonic anhydrase IX (CAIX) expression in breast cancer cells and suggested that the ASAP1 pathway is required for the recycling process of CAIX (27). Therefore, ASAP1 has potential as a target or biomarker for predicting responsiveness of immunotherapy in HCC patients considering the associations of ASAP1 with PD-L1 and pH regulatory molecules (28,29). The exact molecular mechanisms regulating ASAP1 in cancer are unknown. The ASAP1 gene is located at 8q24, and amplification has been reported in several types of tumors. Ehlers et al. reported that mRNA overexpression of ASAP1 in uveal melanoma was significantly correlated with chromosome 8q copy number (9). Similarly, Lin et al. detected additional ASAP1 gene copies and elevated ASAP1 expression at the protein level in prostate cancer (10), and He et al. identified a positive correlation between the copy number gain and ASAP1 gene expression in triple-negative breast cancer (20). Therefore, the gain or amplification of ASAP1 might be partially responsible for the increased ASAP1 expression at the protein level. Further studies are needed in which the molecular mechanism underlying the increased ASAP1 expression in HCC is investigated. In conclusion, ASAP1 expression was found at the protein level in HCC using IHC. High ASAP1 expression was associated with aggressive clinicopathological characteristics and poor clinical outcomes in patients with HCC. Further studies are needed to confirm the molecular mechanisms regulating ASAP1 expression and its usefulness as a biomarker.
  29 in total

1.  ASAP1 mediates the invasive phenotype of human laryngeal squamous cell carcinoma to affect survival prognosis.

Authors:  Minghua Li; Linli Tian; Hongchao Yao; Jianguang Lu; Jingchun Ge; Yan Guo; Ming Liu; Hui Xiao
Journal:  Oncol Rep       Date:  2014-04-23       Impact factor: 3.906

2.  ASAP1 promotes tumor cell motility and invasiveness, stimulates metastasis formation in vivo, and correlates with poor survival in colorectal cancer patients.

Authors:  T Müller; U Stein; A Poletti; L Garzia; M Rothley; D Plaumann; W Thiele; M Bauer; A Galasso; P Schlag; M Pankratz; M Zollo; J P Sleeman
Journal:  Oncogene       Date:  2010-02-15       Impact factor: 9.867

3.  Overexpression of ASAP1 is associated with poor prognosis in epithelial ovarian cancer.

Authors:  Teng Hou; Chenlu Yang; Chongjie Tong; Huiting Zhang; Juan Xiao; Jundong Li
Journal:  Int J Clin Exp Pathol       Date:  2013-12-15

Review 4.  Hepatocellular Carcinoma: An Overview of the Changing Landscape of Treatment Options.

Authors:  Andreas Koulouris; Christos Tsagkaris; Vasiliki Spyrou; Eleni Pappa; Aikaterini Troullinou; Michail Nikolaou
Journal:  J Hepatocell Carcinoma       Date:  2021-05-13

Review 5.  ARF family G proteins and their regulators: roles in membrane transport, development and disease.

Authors:  Julie G Donaldson; Catherine L Jackson
Journal:  Nat Rev Mol Cell Biol       Date:  2011-05-18       Impact factor: 94.444

Review 6.  Epidemiology of Hepatocellular Carcinoma.

Authors:  Katherine A McGlynn; Jessica L Petrick; Hashem B El-Serag
Journal:  Hepatology       Date:  2020-11-24       Impact factor: 17.298

7.  ARF6 and AMAP1 are major targets of KRAS and TP53 mutations to promote invasion, PD-L1 dynamics, and immune evasion of pancreatic cancer.

Authors:  Shigeru Hashimoto; Shotaro Furukawa; Ari Hashimoto; Akio Tsutaho; Akira Fukao; Yurika Sakamura; Gyanu Parajuli; Yasuhito Onodera; Yutaro Otsuka; Haruka Handa; Tsukasa Oikawa; Soichiro Hata; Yoshihiro Nishikawa; Yusuke Mizukami; Yuzo Kodama; Masaaki Murakami; Toshinobu Fujiwara; Satoshi Hirano; Hisataka Sabe
Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-09       Impact factor: 11.205

8.  Dual roles of AMAP1 in the transcriptional regulation and intracellular trafficking of carbonic anhydrase IX.

Authors:  Mei Horikawa; Hisataka Sabe; Yasuhito Onodera
Journal:  Transl Oncol       Date:  2021-11-03       Impact factor: 4.243

9.  pH regulators to target the tumor immune microenvironment in human hepatocellular carcinoma.

Authors:  Olga Kuchuk; Alessandra Tuccitto; Davide Citterio; Veronica Huber; Chiara Camisaschi; Massimo Milione; Barbara Vergani; Antonello Villa; Malcolm Ronald Alison; Simone Carradori; Claudiu T Supuran; Licia Rivoltini; Chiara Castelli; Vincenzo Mazzaferro
Journal:  Oncoimmunology       Date:  2018-03-26       Impact factor: 8.110

10.  Integrative analysis of genomic amplification-dependent expression and loss-of-function screen identifies ASAP1 as a driver gene in triple-negative breast cancer progression.

Authors:  Jichao He; Ronan P McLaughlin; Lambert van der Beek; Sander Canisius; Lodewyk Wessels; Marcel Smid; John W M Martens; John A Foekens; Yinghui Zhang; Bob van de Water
Journal:  Oncogene       Date:  2020-03-31       Impact factor: 9.867

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