Skip to main content
Download PDF

Expression of FAM83H and ZNF16 are associated with shorter survival of patients with gallbladder carcinoma

Diagnostic Pathology volume 15, Article number: 63 (2020) Cite this article

Abstract

Background

Recently, FAM83H was reported to have roles in cancer progression in conjunction with oncogenic molecules such as MYC and b-catenin. Moreover, the data from the public database indicates a molecular relationship between FAM83H and zinc finger proteins, especially between FAM83H and ZNF16. However, studies on FAM83H and ZNF16 in gallbladder cancer have been limited.

Methods

This study investigated the expression of FAM83H and ZNF16 in 105 gallbladder carcinomas.

Results

In human gallbladder carcinomas, immunohistochemical expression of FAM83H was significantly associated with ZNF16 expression. In univariate analysis, nuclear and cytoplasmic expression of FAM83H or ZNF16 were significantly associated with shorter survival of gallbladder carcinoma patients. Multivariate analysis revealed the nuclear expression of FAM83H as an independent indicator of poor prognosis of overall survival (p = 0.005) and relapse-free survival (p = 0.005) of gallbladder carcinoma patients. Moreover, co-expression patterns of nuclear FAM83H and ZNF16 were also independent indicators of shorter survival of gallbladder carcinoma patients (overall survival; p <  0.001, relapse-free survival; p <  0.001).

Conclusions

This study suggests FAM83H and ZNF16 are associated with the progression of gallbladder carcinoma, and the expressions of FAM83H and ZNF16 might be novel prognostic indicators of gallbladder carcinoma patients.

Background

FAM83H is primarily known for its importance in tooth development because mutation in FAM83H causes amelogenesis imperfecta [1, 2]. However, recent reports have shown various roles of FAM83H in both normal cells and cancer cells. In addition to the role of FAM83H in enamel formation in teeth, it is important in maintaining the intracellular actin filament framework and is involved in cancer progression [3,4,5,6]. Expression of FAM83H in cancer cells is elevated compared with normal cells, which suggests FAM83H plays a role in tumorigenesis [7]. Disruption of the actin filament network by deregulated FAM83H expression is thought to induce epithelial-to-mesenchymal transition (EMT) [3]. FAM83H-mediated stimulation of EMT accelerates cancer progression [5, 6]. Moreover, FAM83H stimulates the proliferation of cancer cells by inducing cell cycle progression in conjunction with MYC and canonical Wnt pathways [5, 6]. The oncogene MYC transcriptionally stimulates FAM83H expression, and consequently, FAM83H stabilizes β-catenin to activate the canonical Wnt pathway [5]. In kidney cancer, FAM83H regulates the expression of PANX2 [8]. Therefore, it is likely that there is a more complex molecular network involved in FAM83H-associated tumorigenesis.

Zinc finger proteins have pleiotropic roles as transcription factors in cellular processes [9, 10]. There are several types of zinc finger proteins classified according to their molecular structure: C2H2-, ring-, PHD-, and LIM-type [10]. Among them, the C2H2-type is the largest group of zinc finger proteins, of which ZNF16 (HZF1) is a member [10, 11]. Zinc finger proteins have diverse roles in normal physiology and tumorigenesis [9, 10]. Some zinc finger proteins are tumorigenic, and others are tumor-suppressive [9]. It has been reported that ZNF16 has a function in the differentiation of erythroid cells and megakaryocytes [11]. However, the role of ZNF16 in human cancer is not clear. Despite limited reports on the role of ZNF16 in tumorigenesis, data in the public database indicates that ZNF16 might have a role in tumorigenesis. ZNF16 expression is higher in cancers compared with normal cells in the breast, gastrointestinal tract, lung, ovary, and hepatobiliary tract (cBioPortal database; http://www.cbioportal.org. Accessed 2 March 2020) [12, 13]. In addition, ZNF16 is the molecule that has the most significant correlation with FAM83H in the cholangiocarcinoma (cBioPortal and GEPIA database; http://gepia.cancer-pku.cn. Accessed 2 March 2020) [12,13,14]. Therefore, it has been suggested that FAM83H and ZNF16 might be involved co-operatively in tumorigenesis.

Gallbladder cancer comprises 1.2% of new cancer development and 1.7% of cancer death, worldwide [15]. The high incidence of gallbladder cancer has been reported in eastern Asia and southern America [16]. Gallbladder cancer is commonly correlated to inflammation, and inflammation-associated accumulation of genetic alteration is one of the main causes of gallbladder cancer development [17]. In addition, the inflammation-associated C2H2 zinc finger protein MAZ (Myc-associated zinc finger) stimulates cancer development [18]. Therefore, based on the possible relationship between FAM83H and ZNF6 in cancers of hepatobiliary sites, we investigated the expressions and prognostic significance of FAM83H and ZNF16 in human gallbladder cancers.

Methods

Human gallbladder carcinoma patients

This study included gallbladder carcinoma patients who operated on between January 2000 and December 2008. In total, 105 cases of gallbladder carcinoma for which histologic slides and paraffin-embedded tissue blocks were available were included in this study. The medical records and histologic slides were reviewed to obtain clinicopathological information. There were no patients who received neoadjuvant chemotherapy. Twenty-three patients received postoperative chemotherapy, and six patients received postoperative radiotherapy. Five patients received both adjuvant chemotherapy and radiotherapy. The clinicopathological factors evaluated in this study were the age of the patients, sex, preoperative levels of CEA and CA19–9 on serum, TNM tumor stage, T category of the tumor stage, lymph node metastasis, distant metastasis, lymphovascular invasion, histologic type, and histologic grade of cancer. Histologic factors and TNM stage of all cases were reviewed according to the WHO classification [17] and the 8th edition of the American Joint Committee Cancer Staging System [19]. This study was approved by the institutional review board of Jeonbuk National University Hospital (IRB number, CUH 2019–11-041) and was performed in compliance with the Declaration of Helsinki. In this approval, written informed consent was waived because of the anonymous and retrospective nature of this study.

Gallbladder carcinoma cells, transfection, and western blot

The SNU-308 gallbladder carcinoma cell line was purchased from the Korean Cell Line Bank (KCLB, Seoul, Republic of Korea) and cultured in RPMI-1640 culture media with 10% fetal bovine serum (Gibco BRL, Gaithersburg, MD). SNU-308 cells were transfected with control shRNA, shRNA for FAM83H (GenePharma, Shanghai, China), empty vector, or a vector overexpressing FAM83H (Catalog #; EX-Y4473-M03, accession #; NM_198488, GeneCopoeia, Rockville, MD) by using Lipofectamine® 2000 DNA transfection reagent (Thermo Fisher Scientific, Waltham, MA). The FAM83H duplex had the sense and antisense sequences 5′-CACCGCTCATCTTCAGCACGTCACATTCAAGAGATGTGACGTGCTGAAGATGAGCTTTTTTG-3′ and 5′-GATCCAAAAAAGCTCATCTTCAGCACGTCACATCTCTTGAATGTGACGTGCTGAAGATGAGC-3′, respectively. The protein lysate from transfected cells was prepared via PRO-PREP Protein Extraction Solution (iNtRON Biotechnology, Seongnam, Korea) and blotted with antibodies for FAM83H (1:100, Bethyl Laboratories, Montgomery, TX), ZNF16 (1:250, Novus Biologicals, Centennial, CO), and actin (Santa Cruz Biotechnology, Santa Cruz, CA).

Immunohistochemical staining and scoring

The expression of FAM83H and ZNF16 in gallbladder carcinomas were evaluated with immunohistochemical staining of tissue microarray sections. The core of the tissue microarray was obtained from the area composed primarily of tumor cells without degeneration. Two 3.0 mm cores per case were established in the tissue microarray. The tissue sections were deparaffinized and boiled for 20 min in a microwave oven in pH 6.0 antigen retrieval solution (DAKO, Glostrup, Denmark). Thereafter, the tissue sections were incubated with primary antibodies for FAM83H (1:100, Bethyl Laboratories, Montgomery, TX) and ZNF16 (1:250, Novus Biologicals, Centennial, CO). The immunohistochemical staining for FAM83H and ZNF16 was evaluated by two pathologists (KYJ and HSP) with consensus. The expressions of FAM83H and ZNF16 were separately evaluated according to their nuclear and cytoplasmic expression without clinicopathological information. Immunohistochemical staining was scored for the staining intensity (negative, score 0; weak, score 1; intermediate, score 2; strong, point 3) and staining area (no staining, score 0; ~ 1%, score 1; 2 ~ 10%, score 2; 11 ~ 33%, score 3; 34 ~ 66%, score 4; 67 ~ 100%, score 5) [6, 8, 20, 21]. The score for each tissue microarray core was obtained by adding the staining intensity score and the staining area score. Thereafter, the final immunohistochemical staining score was obtained by adding the scores from the two tissue microarray cores. Therefore, the immunohistochemical staining score ranged from zero to sixteen.

Statistical analysis

The immunohistochemical expression of nuclear or cytoplasmic FAM83H and ZNF16 were classified into negative and positive subgroups. The cut-off points for the immunostaining scores were set by receiver operating characteristic curve analysis at the highest predictive point for the death of gallbladder carcinoma patients [8, 22]. The cut-off point has the highest area under the curve. The prognosis of gallbladder carcinoma patients was determined for overall survival (OS) and relapse-free survival (RFS) through December 2013. In OS analysis, an event was the death of the patient from gallbladder carcinoma and the duration calculated from the date of operation of gallbladder cancer to the date of last contact. The patients who died from other causes or were alive at last contact were treated as censored. An event in RFS analysis was a relapse of cancer or death of the patient from gallbladder carcinoma. The patients who died from other causes or were alive at last contact without relapse were treated as censored. The prognostic value was calculated with Cox proportional hazards regression analysis and the survival curve was generated with Kaplan-Meier survival analysis. The relationships among clinicopathological factors were determined via Pearson’s chi-square test. SPSS software (IBM, version 22.0, Armonk, NY) was used for statistical analysis with p values less than 0.05 being considered statistically significant.

Results

The association of clinicopathologic factors with the expressions of FAM83H and ZNF16 in gallbladder carcinomas

To verify the specificity of the antibodies for FAM83H and ZNF16, western blots for FAM83H and ZNF16 were performed on SNU-308 gallbladder carcinoma cells after inducing knock-down or overexpression of FAM83H. Knock-down of FAM83H decreased expression of FAM83H and ZNF16, and overexpression of FAM83H increased expression of FAM83H and ZNF16 (Fig. 1a). Immunohistochemical expression of FAM83H and ZNF16 in gallbladder carcinomas are presented in Fig. 1b. The expression of FAM83H and ZNF16 were detected in both cytoplasmic and nuclear areas of adenocarcinoma components (Fig. 1b). In squamous cell carcinoma components, the expression of FAM83H and ZNF16 were detected in the cytoplasmic membrane, cytoplasm, and nuclei of tumor cells (Fig. 1b). Immunohistochemical expression of FAM83H and ZNF16 were grouped into negative or positive groups by receiver operating characteristic curve analysis. The cut-off points for the expression of nuclear FAM83H, cytoplasmic FAM83H, nuclear ZNF16, and cytoplasmic ZNF16 were eleven, fourteen, eight, and fourteen, respectively (Fig. 1c). With these cut-off values, nuclear FAM83H expression was significantly associated with histologic grade (p = 0.044) and the expression of cytoplasmic FAM83H (p <  0.001) and nuclear ZNF16 (p = 0.002) (Table 1). Cytoplasmic expression of FAM83H was significantly associated with distant metastasis (p = 0.022), tumor stage (p = 0.040), histologic grade (p = 0.003), and the expression of nuclear ZNF16 (p = 0.019) and cytoplasmic ZNF16 (p = 0.009) (Table 1). Positivity for nuclear ZNF16 was significantly associated with tumor stage (p = 0.028), T category of the tumor stage (p = 0.014), histologic grade (p <  0.001), and the cytoplasmic expression of ZNF16 (p <  0.001) (Table 1). Cytoplasmic expression of ZNF16 was clearly associated with the age of the patients (p = 0.046), tumor stage (p = 0.003), and T category of the tumor stage (p <  0.001) (Table 1).

Fig. 1
figure 1

Western blot and immunohistochemical expression of FAM83H and ZNF16 and statistical analysis in gallbladder carcinomas. a SNU-308 gallbladder carcinoma cells were transfected with control shRNA, shRNA for FAM83H, empty vector, or a vector overexpressing FAM83H (FAM83H-OE) and performed western blot for FAM83H, ZNF16, and actin. b FAM83H and ZNF16 are expressed in both the cytoplasm and nuclei of cancer cells. Original magnification: × 400. c Receiver operating characteristic curve analysis to determine cut-off points for the expression of nuclear FAM83H (blue arrowhead), cytoplasmic FAM83H (empty blue arrowhead), nuclear ZNF16 (red arrow), and cytoplasmic ZNF16 (empty red arrow). The cut-off points indicate the point of the highest area under the curve (AUC) to predict the death of gallbladder carcinoma patients

Full size image
Table 1 Clinicopathologic variables and the expression of FAM83H and ZNF16 in gallbladder carcinomas
Full size table

The expressions of FAM83H and ZNF16 are associated with shorter survival of gallbladder carcinoma patients

The factors clearly associated with OS or RFS of gallbladder carcinomas were age, preoperative serum level of CA19–9, tumor stage, T category of tumor stage, lymph node metastasis, distant metastasis, lymphovascular invasion, histologic type, histologic grade, and the expression of nuclear FAM83H (OS; p <  0.001, RFS; p <  0.001), cytoplasmic FAM83H (OS; p <  0.001, RFS; p = 0.001), nuclear ZNF16 (OS; p <  0.001, RFS; p <  0.001), and cytoplasmic ZNF16 (OS; p = 0.035, RFS; p = 0.068) (Table 2). Nuclear FAM83H positivity predicted a 2.823-fold [95% confidence interval (95% CI); 1.716–4.646] greater risk of death and a 2.685-fold (95% CI; 1.640–4.395) greater risk of relapse or death of gallbladder carcinoma patients. Cytoplasmic FAM83H positivity predicted a 2.292-fold (95% CI; 1.413–3.720) greater risk of death and a 2.201-fold (95% CI; 1.360–3.564) greater risk of relapse or death of gallbladder carcinoma patients. Patients with nuclear ZNF16 positive carcinomas had a 3.287-fold (95% CI; 1.888–5.722) greater risk of death and a 3.038-fold (95% CI; 1.765–5.229) greater risk of relapse or death from gallbladder carcinoma. Patients with cytoplasmic ZNF16 positive carcinomas had a 1.675-fold (95% CI; 1.038–2.703) greater risk of death from gallbladder carcinoma (Table 3). Figure 2 presents Kaplan-Meier survival curves for OS and RFS of gallbladder carcinoma patients according to the nuclear and cytoplasmic expression of FAM83H and ZNF16.

Table 2 Univariate Cox proportional hazards regression analysis for overall survival and relapse-free survival in gallbladder carcinoma patients
Full size table
Table 3 Multivariate Cox regression analysis for overall survival and relapse-free survival
Full size table
Fig. 2
figure 2

Survival analysis according to the expression of FAM83H and ZNF16 in gallbladder carcinomas. Kaplan-Meier survival curves for overall survival and relapse-free survival of gallbladder carcinoma patients according to the expression of nuclear FAM83H (nFAM83H), cytoplasmic FAM83H (cFAM83H), nuclear ZNF16 (nZNF16), and cytoplasmic ZNF16 (cZNF16)

Full size image

Multivariate analysis was performed with the factors clearly associated with OS or RFS; age, preoperative serum level of CA19–9, tumor stage, T category of tumor stage, lymph node metastasis, distant metastasis, lymphovascular invasion, histologic type, histologic grade, and the expression of nuclear FAM83H, cytoplasmic FAM83H, nuclear ZNF16, and cytoplasmic ZNF16. Multivariate analysis showed age (OS; p <  0.001, RFS; p <  0.001), tumor stage (OS; overall p <  0.001, RFS; overall p <  0.001), and nuclear FAM83H expression (OS; p = 0.005, RFS; p = 0.005) to be independent prognostic indicators of gallbladder carcinoma patients (Table 3). Nuclear FAM83H positivity predicted a 2.094-fold (95% CI; 1.243–3.525) greater risk of death and a 2.108-fold (95% CI; 1.260–3.527) greater risk of relapse or death of gallbladder carcinoma patients by the multivariate analysis (Table 3).

The co-expression pattern of nuclear FAM83H and nuclear ZNF16 was associated with shorter survival of gallbladder carcinoma patients

In our results, the expression of FAM83H was significantly associated with ZNF16 expression. Moreover, the expression of nuclear FAM83H, cytoplasmic FAM83H, nuclear ZNF16, and cytoplasmic ZNF16 were associated with the survival of gallbladder carcinoma patients. In addition, as shown in Table 2, the prognostic predictability of nuclear expressions of FAM83H and ZNF16 were stronger than cytoplasmic expressions of FAM83H and ZNF16 when incorporating their hazard ratios and P values. Therefore, based on the relationship between FAM83H and ZNF16 expression and the prognostic value of the nuclear expression of FAM83H and ZNF16, we further evaluated the clinical significance of the co-expression pattern of nuclear FAM83H and nuclear ZNF16 (nFAM83H/nZNF16). When we sub-grouped gallbladder carcinomas into nFAM83H−/nZNF16−, nFAM83H−/nZNF16+, nFAM83H+/nZNF16−, and nFAM83H+/nZNF16+ subgroups, the nFAM83H−/nZNF16− subgroup had the longest survival and the nFAM83H+/nZNF16+ subgroup had the shortest survival (Fig. 3a) (Table 4). However, the difference in survival among nFAM83H−/nZNF16+, nFAM83H+/nZNF16−, and nFAM83H+/nZNF16+ subgroups were minimal (Fig. 3a). Based on these survival analyses, we grouped gallbladder carcinomas into two subgroups: favorable (nFAM83H−/nZNF16−) and poor (nFAM83H−/nZNF16+, nFAM83H+/nZNF16−, or nFAM83H+/nZNF16+) subgroups (Fig. 3b) (Table 4). These prognostic subgroups were significantly associated with tumor stage (p = 0.016), T category of tumor stage (p = 0.006), and histologic grade (p <  0.001) (Table 5). In univariate Cox regression analysis, the poor prognostic subgroup with co-expression of nFAM83H/nZNF16 predicted a 5.463-fold (95% CI; 2.598–11.487, p <  0.001) higher risk of death and a 4.796-fold (95% CI; 2.367–9.717, p <  0.001) higher risk of relapse or death of patients (Table 6). In multivariate analysis, the co-expression of nFAM83H/nZNF16 was also an independent indicator of poor prognosis of gallbladder carcinoma patients (Table 6). The poor prognostic subgroup co-expressing nFAM83H/nZNF16 had a 4.808-fold (95% CI; 2.143–10.791, p <  0.001) higher risk of death and a 4.204-fold (95% CI; 1.958–9.029, p <  0.001 higher risk of relapse or death of patients compared with the favorable prognostic subgroup (Table 6).

Fig. 3
figure 3

Survival analysis according to co-expression patterns of nuclear FAM83H and nuclear ZNF16 in gallbladder carcinoma patients. a Survival analysis for overall survival and relapse-free survival in four subgroups of gallbladder carcinoma according to the expression of nuclear FAM83H (nFAM83H) and nuclear ZNF16 (nZNF16): nFAM83H−/nZNF16−, nFAM83H−/nZNF16+, nFAM83H+/nZNF16−, and nFAM83H+/nZNF16+ subgroups. b Survival analysis for overall survival and relapse-free survival in two groups of gallbladder carcinomas: [nFAM83H−/nZNF16−] and [nFAM83H−/nZNF16+, nFAM83H+/nZNF16− or nFAM83H+/nZNF16+] subgroups

Full size image
Table 4 Five- and ten-year overall survival and relapse-free survival according to co-expression patterns of nuclear FAM83H and nuclear ZNF16
Full size table
Table 5 Clinicopathologic variables and co-expression patterns of nuclear FAM83H and nuclear ZNF16 in gallbladder carcinomas
Full size table
Table 6 Univariate and multivariate Cox regression analysis for overall survival and relapse-free survival according to the co-expression patterns of nuclear FAM83H and nuclear ZNF16 in gallbladder carcinomas
Full size table

Furthermore, we evaluated the prognostic significance of the individual and co-expression patterns of nuclear FAM83H and nuclear ZNF16 in 23 gallbladder carcinoma patients who received adjuvant chemotherapy. As shown in Fig. 4, individual expression of nuclear FAM83H and nuclear ZNF16, and two prognostic subgroups according to the co-expression patterns of nFAM83H/nZNF16 [(nFAM83H−/nZNF16−) versus (nFAM83H−/nZNF16+, nFAM83H+/nZNF16−, or nFAM83H+/nZNF16+) subgroups] were significantly associated with OS and RFS (Fig. 4).

Fig. 4
figure 4

Survival analysis according to the individual and co-expression patterns of nuclear FAM83H and nuclear ZNF16 in 23 gallbladder carcinoma patients who received adjuvant chemotherapy. a Survival analysis for overall survival and relapse-free survival according to the expression of nuclear FAM83H (nFAM83H). b Survival analysis for overall survival and relapse-free survival according to expression of nuclear ZNF16 (nZNF16). c Survival analysis in two prognostic groups of gallbladder carcinomas according to co-expression patterns of nuclear FAM83H and nuclear ZNF16: [nFAM83H−/nZNF16−] and [nFAM83H−/nZNF16+, nFAM83H+/nZNF16− or nFAM83H+/nZNF16+] subgroups

Full size image

Discussion

In this study, we demonstrate a positive correlation between immunohistochemical expression of FAM83H and ZNF16 in gallbladder cancers. There was also a close association between the expression of FAM83H and ZNF16 and advanced clinicopathological factors. Moreover, the positivity for the expression of nuclear FAM83H, cytoplasmic FAM83H, nuclear ZNF16, and cytoplasmic ZNF16 were significantly associated with shorter survival of gallbladder carcinoma patients. Especially, nuclear FAM83H expression was an independent marker of poor prognosis of gallbladder carcinoma patients. Concerning the subcellular localization of FAM83H, FAM83H was present in the cytoplasmic membrane and the cytosol [3, 4, 23]. Subsequently, it was shown that the nuclear expression of FAM83H is present in some cases of colon carcinomas, and its nuclear localization has been suggested be involved in tumorigenesis [24]. Furthermore, in hepatocellular carcinoma and clear cell renal cell carcinoma, nuclear FAM83H expression was an independent prognostic indicator of cancer patients [5, 8]. In addition, FAM83H had cooperative roles with MYC and Wnt/β-catenin pathways in cancer progression [5, 6]. MYC transcriptionally controlled the expression of FAM83H and FAM83H is involved in the stabilization of β-catenin and consequent transcriptional activation of the canonical Wnt pathway. Therefore, when considering the roles of the nuclear localization of MYC and β-catenin, nuclear FAM83H also has a role in the nuclei of cells in association with MYC/β-catenin. In addition, FAM83H localized to nuclear speckles and interacted with SON, a protein in nuclear speckle, and FAM83H is involved in nuclear recruitment of casein kinase 1α in colorectal cancer cells [24]. Therefore, it has been suggested that FAM83H might be involved in cancer progression via extensive interaction with nuclear proteins. However, in contrast, cytoplasmic FAM83H expression was more predictive than nuclear FAM83H expression for the survival of osteosarcoma patients [6]. Therefore, although the prognostic significance of FAM83H expression varied according to its subcellular localization with different cancer type, it has been suggested that the overall expression of FAM83H in the cell could be vital in the progression of cancers because knock-down of FAM83H suppressed cancer progression and overexpression of FAM83H stimulated cancer progression [5, 6]. However, further study is needed to clarify the mechanism and role of nuclear localization of FAM83H.

With regards to the subcellular localization of ZNF16, our results showed ZNF16 expression in both the cytoplasm and nuclei of tumor cells. Furthermore, the nuclear expression of ZNF16 was indicated to be a potential prognostic factor of gallbladder carcinoma patients. Supportively, it has been reported that ZNF16 is expressed in both the cytoplasm and nucleus and nuclear ZNF16 has an important role in the differentiation of cells [11, 25]. In addition, ZNF16 inhibited apoptosis and stimulated cell cycle progression by inhibiting INCA1 in K562 leukemia cells [26]. Therefore, when considering our finding that there is a significant association between nuclear ZNF16-positivity and higher tumor stage and histologic grade, nuclear expression of ZNF16 might be significantly involved in the progression of gallbladder carcinomas. However, the reports concerning the role of ZNF16 in human cancers, especially with regards to the prognostic significance of ZNF16 expression in human cancers, is limited. Therefore, we have searched the public database. In a search of the GEPIA database (Accessed 2 March 2020) [14], the mRNA expression of ZNF16 was elevated in breast cancer, cholangiocarcinoma, esophageal carcinoma, colon adenocarcinoma, head and neck squamous cell carcinoma, prostatic cancer and lung carcinoma compared with their normal counterpart tissues. In addition, although there is no data for gallbladder cancers, The Human Protein Atlas database (https://www.proteinatlas.org. Accessed 2 March 2020) [27] indicates that higher expression of ZNF16 mRNA is an indicator of poor prognosis of liver cancer (Log-rank, p = 0.008) and breast cancer (Log-rank, p = 0.041). However, higher expression of ZNF16 mRNA was associated with favorable prognosis of head and neck cancer (Log-rank, p <  0.001) and gastric cancer (Log-rank, p = 0.017) [27]. Therefore, further study is needed to clarify the role of ZNF16 in the progression of human cancers.

When considering the prognostic significance of the expression of FAM83H and ZNF16 in gallbladder carcinoma, it was expected that the expression of FAM83H and ZNF16 would be associated with standard prognostic variables. However, despite the significant correlation between cFAM83H/nZNF16/cZNF16 expression and tumor stage, there was no significant correlation between cFAM83H/nZNF16/cZNF16 expression and lymph node and distant metastasis. However, although not statistically significant, there is a tendency towards more positivity for FAM83/ZNF16 expression in patients with lymph node metastasis or distant metastasis. This might be related to the relatively low number of cases that have lymph node metastasis or distant metastasis. Therefore, further study is needed to clarify the relationship between FAM83H/ZNF16 expression and cancer progression. In addition, in the univariate analysis, the conventional prognostic indicators such as age of patient, serum level of CA19–9, tumor stage and TNM categories, lymphovascular invasion, histologic type, and histologic grade were significantly associated with OS and RFS of gallbladder carcinoma patients. In multivariate analysis, older age of patient and tumor stage were independent indicators of poor prognosis of gallbladder carcinoma patients. The reason why T, N, and M categories do not present as independent prognostic factors in the multivariate analysis might be related to the fact that T, N, and M categories are components of the TNM staging system. Therefore, our results support that the TNM staging system is important in the prediction of the survival of cancer patients.

Another interesting finding of our study is that the expression of FAM83H and ZNF16 were closely associated with each other in gallbladder cancers. In SNU-308 gallbladder carcinoma cells, knock-down of FAM83H decreased ZNF16 expression and overexpression of FAM83H increased expression of ZNF16. Furthermore, the co-expression pattern of nFAM83H/nZNF16 was a strong prognostic indicator of gallbladder carcinoma patients. Although no reports have investigated the relationship between FAM83H and ZNF16 in human cancers, we found a significant association between FAM83H and ZNF16 expression in human cancers in our search of the public database. Although there is no data for gallbladder cancers, a significant correlation between the expression of FAM83H and ZNF16 was seen in hepatobiliary cancers. The cBioPortal database (Accessed March 2, 2020) [12, 13] indicates that there is a significant correlation between the expression of mRNA of FAM83H and ZNF16 in cholangiocarcinoma (Spearman’s correlation, R = 0.70, p <  0.001). The GEPIA database (Accessed March 2, 2020) [14] showed a significant correlation between the expression of mRNA of FAM83H and ZNF16 in cholangiocarcinoma (Spearman’s correlation, R = 0.82, p <  0.001), hepatocellular carcinoma (Spearman’s correlation, R = 0.60, p <  0.001), and pancreatic adenocarcinoma (Spearman’s correlation, R = 0.40, p <  0.001). Moreover, the co-expression patterns of nuclear FAM83H and nuclear ZNF16 were independent indicators of poor prognosis of gallbladder carcinoma patients. Moreover, the individual and co-expression patterns of nuclear FAM83H and ZNF16 were significantly associated with the prognosis of gallbladder carcinoma patients who received adjuvant chemotherapy. These findings suggest the possibility that the FAM83H-ZNF16 pathway might be involved in the effectiveness of anti-cancer chemotherapy. Therefore, our results suggest that FAM83H and ZNF16 are cooperatively involved in the progression of gallbladder cancers. However, the exact mechanism of the relationship between FAM83H and ZNF16 is unclear. Therefore, further study of the mechanism(s) by which FAM83H/ZNF16 are involved in gallbladder cancer progression is needed.

The significance of the prognostic value of the expressions of FAM83H and ZNF16 in gallbladder carcinoma patients suggests that blocking of FAM83H-ZNF16 pathway might be a potential therapeutic target. The therapeutic potential of blocking of the FAM83H pathway in human cancer is supported by studies in animal models of hepatocellular carcinoma and osteosarcoma [5, 6]. However, a specific therapeutic agent targeting the FAM83H-ZNF16 pathway has not been developed. Therefore, when considering the prognostic impact of FAM83H/ZNF16 expression in gallbladder carcinomas, further study is needed to find specific therapeutics targeting the FAM83H/ZNF16 pathway. However, a close relationship between FAM83H and oncogenic pathways such as, cellular proliferation and EMT of carcinomas, has been reported [5, 6]. Therefore, using established targeted therapeutic molecules which block cellular proliferation and invasiveness might be beneficial in the treatment of gallbladder carcinoma patients with tumors with high expression of FAM83H/ZNF16. Especially, MYC and the Wnt/β-catenin pathway might be a potential therapeutic targets of gallbladder carcinomas with high expression of FAM83H/ZNF16 because MYC is a transcriptional regulator of FAM83H and FAM83H stabilizes β-catenin [5, 6, 28, 29]. In addition, FAM83H is involved in the invasiveness of cancer cells through the EMT pathway in hepatocellular carcinoma and osteosarcoma [5, 6]. Therefore, EMT-associated receptor tyrosine kinase might be a potential therapeutic target of FAM83H-overexpressing cancers [30]. Furthermore, based on previous reports on the role of FAM83H in the proliferation of cancer cells [5, 6], we have searched the GEPIA database for molecules developed as targeted therapeutic agents that are significantly associated with FAM83H/ZNF expression (Accessed May 2, 2020) [14]. In pancreatic adenocarcinoma, there was significant correlation between the expression of FAM83H mRNA and EGFR mRNA (Pearson correlation, R = 0.27, p <  0.001), and the expression of ZNF16 mRNA and EGFR mRNA (Pearson correlation, R = 0.33, p <  0.001) [14]. In cholangiocarcinoma, there was a significant correlation between FAM83H mRNA and ERBB2 mRNA (Pearson correlation, R = 0.43, p = 0.008) [14]. In addition, there was significant correlation between the expression of FAM83H and BRAF (Pearson correlation, R = 0.46, p = 0.005), and the expression of ZNF16 mRNA and BRAF mRNA (Pearson correlation, R = 0.44, p = 0.007) [14]. Therefore, when considering the relationship between FAM83H/ZNF16 and tyrosine kinase- and BRAF-pathways, the inhibitors of the tyrosine kinase receptor and BRAF might be useful for the treatment of the poor prognostic subgroup of gallbladder carcinoma with high expression of FAM83H/ZNF16 [31, 32]. Therefore, additional study is needed to evaluate the effectiveness of established anti-cancer agents targeting tyrosine kinase and BRAF in gallbladder carcinomas. Furthermore, our result suggests the possibility that the FAM83H-ZNF16 pathway might be involved in chemoresistance by affecting the survival of gallbladder carcinoma patients who received adjuvant chemotherapy. In a search of the GEPIA database (Accessed May 2, 2020), mRNA expressions of FAM83H/ZNF16 was significantly associated with PARP1 mRNA expression in cholangiocarcinoma (FAM83H versus PARP1; Pearson correlation, R = 0.45, p = 0.005, ZNF16 versus PARP1; Pearson correlation, R = 0.34, p = 0.045) [14]. Therefore, therapeutic agents which disrupt resistance to conventional anticancer therapy, such as PARP inhibitors, might be beneficial in the treatment of the poor prognostic subgroup of gallbladder carcinoma with high expression of FAM83H/ZNF16 [33,34,35]. In osteosarcoma, inhibition of FAM83H inhibited in vivo growth of KHOS/NP osteosarcoma cells, and the PARP inhibitor, olaparib, potentiated the anticancer effect of doxorubicin in KHOS/NP osteosarcoma cells [6, 22]. Therefore, to support this possibility, additional study is needed to explore the role of the FAM83H-ZNF16 pathway in the PARP-related DNA damage repair pathway.

Conclusions

In conclusion, we present that the expression of FAM83H and ZNF16 are closely associated, and that high expression patterns of these proteins are significantly associated with shorter survival of gallbladder carcinoma patients. Therefore, FAM83H and ZNF16 might be potential therapeutic targets for gallbladder carcinoma patients, and the expression patterns of FAM83H and ZNF16 might be used as novel prognostic indicators for gallbladder carcinoma patients.

Availability of data and materials

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

95% CI:

95% confidence interval

cFAM83H:

cytoplasmic expression of FAM83H

cZNF16:

cytoplasmic expression of ZNF16

HR:

hazard ratio

nFAM83H:

nuclear expression of FAM83H

nZNF16:

nuclear expression of ZNF16

OS:

Overall survival

RFS:

Relapse-free survival

References

  1. Kim JW, Lee SK, Lee ZH, Park JC, Lee KE, Lee MH, Park JT, Seo BM, Hu JC, Simmer JP. FAM83H mutations in families with autosomal-dominant hypocalcified amelogenesis imperfecta. Am J Hum Genet. 2008;82:489–94.

    Article  CAS  Google Scholar 

  2. Lee SK, Hu JC, Bartlett JD, Lee KE, Lin BP, Simmer JP, Kim JW. Mutational spectrum of FAM83H: the C-terminal portion is required for tooth enamel calcification. Hum Mutat. 2008;29:E95–9.

    Article  Google Scholar 

  3. Kuga T, Kume H, Kawasaki N, Sato M, Adachi J, Shiromizu T, Hoshino I, Nishimori T, Matsubara H, Tomonaga T. A novel mechanism of keratin cytoskeleton organization through casein kinase Ialpha and FAM83H in colorectal cancer. J Cell Sci. 2013;126:4721–31.

    Article  CAS  Google Scholar 

  4. Kuga T, Sasaki M, Mikami T, Miake Y, Adachi J, Shimizu M, Saito Y, Koura M, Takeda Y, Matsuda J, Tomonaga T, Nakayama Y. FAM83H and casein kinase I regulate the organization of the keratin cytoskeleton and formation of desmosomes. Sci Rep. 2016;6:26557.

    Article  CAS  Google Scholar 

  5. Kim KM, Park SH, Bae JS, Noh SJ, Tao GZ, Kim JR, Kwon KS, Park HS, Park BH, Lee H, Chung MJ, Moon WS, Sylvester KG, Jang KY. FAM83H is involved in the progression of hepatocellular carcinoma and is regulated by MYC. Sci Rep. 2017;7:3274.

    Article  Google Scholar 

  6. Kim KM, Hussein UK, Park SH, Kang MA, Moon YJ, Zhang Z, Song Y, Park HS, Bae JS, Park BH, Ha SH, Moon WS, Kim JR, Jang KY. FAM83H is involved in stabilization of beta-catenin and progression of osteosarcomas. J Exp Clin Cancer Res. 2019;38:267.

    Article  CAS  Google Scholar 

  7. Snijders AM, Lee SY, Hang B, Hao W, Bissell MJ, Mao JH. FAM83 family oncogenes are broadly involved in human cancers: an integrative multi-omics approach. Mol Oncol. 2017;11:167–79.

    Article  CAS  Google Scholar 

  8. Kim KM, Hussein UK, Bae JS, Park SH, Kwon KS, Ha SH, Park HS, Lee H, Chung MJ, Moon WS, Kang MJ, Jang KY. The expression patterns of FAM83H and PANX2 are associated with shorter survival of clear cell renal cell carcinoma patients. Front Oncol. 2019;9:14.

    Article  Google Scholar 

  9. Jen J, Wang YC. Zinc finger proteins in cancer progression. J Biomed Sci. 2016;23:53.

    Article  Google Scholar 

  10. Cassandri M, Smirnov A, Novelli F, Pitolli C, Agostini M, Malewicz M, Melino G, Raschella G. Zinc-finger proteins in health and disease. Cell Death Discov. 2017;3:17071.

    Article  Google Scholar 

  11. Peng H, Du ZW, Zhang JW. Identification and characterization of a novel zinc finger protein (HZF1) gene and its function in erythroid and megakaryocytic differentiation of K562 cells. Leukemia. 2006;20:1109–16.

    Article  CAS  Google Scholar 

  12. Cerami E, Gao J, Dogrusoz U, Gross BE, Sumer SO, Aksoy BA, Jacobsen A, Byrne CJ, Heuer ML, Larsson E, Antipin Y, Reva B, Goldberg AP, Sander C, Schultz N. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov. 2012;2:401–4.

    Article  Google Scholar 

  13. Gao J, Aksoy BA, Dogrusoz U, Dresdner G, Gross B, Sumer SO, Sun Y, Jacobsen A, Sinha R, Larsson E, Cerami E, Sander C, Schultz N. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal. 2013;6:pl1.

    Article  Google Scholar 

  14. Tang Z, Li C, Kang B, Gao G, Li C, Zhang Z. GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Res. 2017;45:W98–W102.

    Article  CAS  Google Scholar 

  15. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424.

    Article  Google Scholar 

  16. Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, Parkin DM, Forman D, Bray F. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136:E359–86.

    Article  CAS  Google Scholar 

  17. Board WCoTE. Digestive system tumours. 5th ed. Lyon: International Agency for Research on Cancer; 2019.

    Google Scholar 

  18. Triner D, Castillo C, Hakim JB, Xue X, Greenson JK, Nunez G, Chen GY, Colacino JA, Shah YM. Myc-associated zinc finger protein regulates the Proinflammatory response in colitis and Colon Cancer via STAT3 signaling. Mol Cell Biol. 2018;38.

  19. Amin MB, American Joint Committee on Cancer., American Cancer Society.: AJCC cancer staging manual, Eight edition / editor-in-chief, Mahul B. Amin, MD, FCAP ; editors, Stephen B. Edge, MD, FACS and 16 others ; Donna M. Gress, RHIT, CTR - Technical editor ; Laura R. Meyer, CAPM - Managing editor. edn. Chicago: American Joint Committee on Cancer, Springer; 2017.

  20. Allred D, Harvey JM, Berardo M, Clark GM. Prognostic and predictive factors in breast cancer by immunohistochemical analysis. Mod Pathol. 1998;11:155–68.

    CAS  PubMed  Google Scholar 

  21. Kang MA, Lee J, Ha SH, Lee CM, Kim KM, Jang KY, Park SH. Interleukin4Ralpha (IL4Ralpha) and IL13Ralpha1 Are Associated with the Progress of Renal Cell Carcinoma through Janus Kinase 2 (JAK2)/Forkhead Box O3 (FOXO3) Pathways. Cancers (Basel). 2019;11:1394.

  22. Park HJ, Bae JS, Kim KM, Moon YJ, Park SH, Ha SH, Hussein UK, Zhang Z, Park HS, Park BH, Moon WS, Kim JR, Jang KY. The PARP inhibitor olaparib potentiates the effect of the DNA damaging agent doxorubicin in osteosarcoma. J Exp Clin Cancer Res. 2018;37:107.

    Article  CAS  Google Scholar 

  23. Ding Y, Estrella MR, Hu YY, Chan HL, Zhang HD, Kim JW, Simmer JP, Hu JC. Fam83h is associated with intracellular vesicles and ADHCAI. J Dent Res. 2009;88:991–6.

    Article  CAS  Google Scholar 

  24. Kuga T, Kume H, Adachi J, Kawasaki N, Shimizu M, Hoshino I, Matsubara H, Saito Y, Nakayama Y, Tomonaga T. Casein kinase 1 is recruited to nuclear speckles by FAM83H and SON. Sci Rep. 2016;6:34472.

    Article  CAS  Google Scholar 

  25. Deng MJ, Li XB, Peng H, Zhang JW. Identification of the trans-activation domain and the nuclear location signals of human zinc finger protein HZF1 (ZNF16). Mol Biotechnol. 2010;44:83–9.

    Article  CAS  Google Scholar 

  26. Li XB, Chen J, Deng MJ, Wang F, Du ZW, Zhang JW. Zinc finger protein HZF1 promotes K562 cell proliferation by interacting with and inhibiting INCA1. Mol Med Rep. 2011;4:1131–7.

    CAS  PubMed  Google Scholar 

  27. Uhlen M, Fagerberg L, Hallstrom BM, Lindskog C, Oksvold P, Mardinoglu A, Sivertsson A, Kampf C, Sjostedt E, Asplund A, Olsson I, Edlund K, Lundberg E, Navani S, Szigyarto CA, Odeberg J, Djureinovic D, Takanen JO, Hober S, Alm T, Edqvist PH, Berling H, Tegel H, Mulder J, Rockberg J, Nilsson P, Schwenk JM, Hamsten M, von Feilitzen K, Forsberg M, Persson L, Johansson F, Zwahlen M, von Heijne G, Nielsen J, Ponten F. Proteomics. Tissue-based map of the human proteome. Science. 2015;347:1260419.

    Article  Google Scholar 

  28. Krishnamurthy N, Kurzrock R. Targeting the Wnt/beta-catenin pathway in cancer: update on effectors and inhibitors. Cancer Treat Rev. 2018;62:50–60.

    Article  CAS  Google Scholar 

  29. Chen H, Liu H, Qing G. Targeting oncogenic Myc as a strategy for cancer treatment. Signal Transduction Targeted Therapy. 2018;3:1–7.

    Article  Google Scholar 

  30. Tulchinsky E, Demidov O, Kriajevska M, Barlev NA, Imyanitov E. EMT: a mechanism for escape from EGFR-targeted therapy in lung cancer. Biochim Biophys Acta Rev Cancer. 2019;1871:29–39.

    Article  CAS  Google Scholar 

  31. Croce L, Coperchini F, Magri F, Chiovato L, Rotondi M. The multifaceted anti-cancer effects of BRAF-inhibitors. Oncotarget. 2019;10:6623–40.

    Article  Google Scholar 

  32. Bhullar KS, Lagaron NO, McGowan EM, Parmar I, Jha A, Hubbard BP, Rupasinghe HPV. Kinase-targeted cancer therapies: progress, challenges and future directions. Mol Cancer. 2018;17:48.

    Article  Google Scholar 

  33. Oei AL, Vriend LE, van Leeuwen CM, Rodermond HM, Ten Cate R, Westermann AM, Stalpers LJ, Crezee J, Kanaar R, Kok HP, Krawczyk PM, Franken NA. Sensitizing thermochemotherapy with a PARP1-inhibitor. Oncotarget. 2017;8:16303–12.

    Article  Google Scholar 

  34. Avila-Arroyo S, Nunez GS, Garcia-Fernandez LF, Galmarini CM. Synergistic effect of Trabectedin and Olaparib combination regimen in breast Cancer cell lines. J Breast Cancer. 2015;18:329–38.

    Article  Google Scholar 

  35. Carey LA, Sharpless NE. PARP and cancer--if it's broke, don’t fix it. N Engl J Med. 2011;364:277–9.

    Article  CAS  Google Scholar 

Download references

Acknowledgments

We thank DB Leveson-Gower who provided medical writing services and Professor Keun Sang Kwon in the Department of Preventive Medicine for assisting with statistical analysis.

Funding

This work was supported by grants from the Medical Research Center Program (2017R1A5A2015061) through the National Research Foundation (NRF), which is funded by the Korean government (MSIP).

Author information

Author notes

  1. Sung Woo Ahn, Ae-Ri Ahn and Sang Hoon Ha contributed equally to this work.

Authors and Affiliations

  1. Department of Surgery, Jeonbuk National University Medical School, Jeonju, Republic of Korea

    Sung Woo Ahn, Jae Do Yang & Hee Chul Yu

  2. Department of Pathology, Jeonbuk National University Medical School, 567 Baekje-daero, Dukjin-gu, Jeonju, 54896, Republic of Korea

    Ae-Ri Ahn, Usama Khamis Hussein, Kyoung Min Kim, Ho Sung Park & Kyu Yun Jang

  3. Division of Biotechnology, Jeonbuk National University, Iksan, Republic of Korea

    Sang Hoon Ha

  4. Faculty of Science, Beni-Suef University, Beni-Suef, Egypt

    Usama Khamis Hussein

  5. Department of Bio and Chemical Engineering, Hongik University, Sejong, Republic of Korea

    See-Hyoung Park

  6. Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Republic of Korea

    Kyu Yun Jang

Authors
  1. Sung Woo Ahn
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ae-Ri Ahn
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sang Hoon Ha
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Usama Khamis Hussein
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jae Do Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Kyoung Min Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Ho Sung Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. See-Hyoung Park
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Hee Chul Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Kyu Yun Jang
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

SWA, ARA, SHH, UKH, JDY, KMK, HSP, SHP, HCY, and KYJ participated in the study design. SWA, ARA, SHH, UKH, KMK, HSP, SHP, and KYJ performed the experiment. SWA, ARA, SHH, UKH, JDY, KMK, HCY, and KYJ were involved in data collection and data interpretation. SWA, ARA, SHH, HSP, SHP, HCY, and KYJ participated in the statistical analyses. SWA, ARA, SHH, UKH, JDY, KMK, HSP, SHP, HCY, and KYJ wrote the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Kyu Yun Jang.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the institutional review board of Jeonbuk National University Hospital (IRB number, CUH 2019–11-041) and was performed in compliance with the Declaration of Helsinki. In this approval, written informed consent was waived because of the anonymous and retrospective nature of this study.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ahn, S.W., Ahn, AR., Ha, S.H. et al. Expression of FAM83H and ZNF16 are associated with shorter survival of patients with gallbladder carcinoma. Diagn Pathol 15, 63 (2020). https://doi.org/10.1186/s13000-020-00985-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13000-020-00985-1

Keywords

Diagnostic Pathology

ISSN: 1746-1596

Contact us