Colon cancer is a common type of digestive system malignancy worldwide (1,2). Cancer statistics from 185 countries show that 1,104,100 novel cases and 883,200 mortalities were caused by colon cancer in 2018 (3). The incidence rate was ranked fourth and the mortality rate was ranked second among all types of cancer worldwide (3). With improved living standards and diet, the incidence of colon cancer has increased owing to high-fat diet and insufficient food fiber (4). Colon cancer is most common where the rectum and sigmoid colon connect, and it is more common in male compared with female patients (5). Prognosis and treatment of colon cancer is important. Current clinical treatment of colon cancer is based on surgery, radiotherapy and chemotherapy, but the five-year survival rate has not greatly improved (6). Mutations in Kirsten rat sarcoma virus (KRAS) is a diagnostic biomarker and therapeutic target of colon cancer (7). Therefore, determining the molecular mechanism of colon cancer prognosis is crucial to develop gene therapy.The only dNTP hydrolase in eukaryotes, SAMHD1, is involved in multiple pathological processes (8). SAMHD1 serves a key role in preventing virus transcription and replication by hydrolyzing dNTP, thus protecting host cellular genome integrity (9). As an intrinsic host restriction factor, SAMHD1 exploits deoxynucleoside triphosphohydrolase (dNTPase) activity to resist human immunodeficiency virus 1 (10). Literature has shown that SAMHD1 is primarily involved in apoptosis and proliferation through hydrolyzing nucleic acids (11,12). Although some consider SAMHD1 to serve only as a dNTPase, others hypothesize that SAMHD1 can be used not only as dNTPase but also as RNase. Therefore, this remains controversial (8,13). SAMHD1 is also known as Aicardi-Goutières syndrome (AGS) gene because multipoint mutations in SAMHD1 cause familial autoimmune AGS (14–17). SAMHD1 is affected by post-translational modifications, such as phosphorylation, acetylation and methylation, which primarily affect its ability to prevent viral infection (18–22). For example, phosphomimetic mutation of T592E causes notable destabilization of the active tetrameric form of SAMHD1 and a ~3-fold decline in dNTPase activity (9). However, the T592V variant does not disrupt the crystal structure of SAMHD1, thus its dNTPase activity is not affected (9). Furthermore, SAMHD1 is acetylated on K405 by acetyltransferase arrest defective protein 1, which increases its dNTPase activity in vitro (21).Previous studies have shown that SAMHD1 is associated with development of several types of cancer, including lung and colon cancer (20,23). SAMHD1 mRNA and protein expression levels have been shown to be decreased in lung adenocarcinoma tissue compared with adjacent normal controls, which suggests that the SAMHD1 promoter is highly methylated in lung adenocarcinoma, leading to decreased SAMHD1 expression (20). The decrease of SAMHD1 activity is caused by frequent mutations of SAMHD1 gene in colon cancer cells (23), which suggests that the decrease of SAMHD1 activity is associated with an increased risk for colon cancer compared with other types of cancer. A total of 164 unique mutations in SAMHD1 from a variety of cancer tissues are listed in the catalogue of cancer somatic mutations, which indicates that SAMHD1 mutation is more frequent in cancer (24). SAMHD1 mutations at residues 123, 143, 145, 201, 209, 254, 369 and 385 lead to decreased function of endogenous SAMHD1 protein and disrupt nucleotide metabolism in myeloid cells, leading to carcinogenesis (15). However, the effect of SAMHD1 on colon cancer prognosis is not clear. The present study aimed to determine expression of SAMHD1 in colon cancer and the effect of its dNTPase function on cell apoptosis and proliferation to provide potential biomarkers for prognosis of colon cancer.
Materials and methods
Dataset access and information
The Gene Expression Omnibus (GEO) database was searched (ncbi.nlm.nih.gov/geo; GSE41258). Perl (strawberry-perl-5.32.1.1-64bit; strawberryperl.com/releases.html) command was used to convert the genetic probe IDs in the matrix documents to the platform's genetic symbols to acquire a matrix document encompassing formal symbols. All datasets were normalized using the limma R package (R for Windows 4.1.0 Setup and http://www.rstudio.com). The entire genetic expression data underwent log2 transformation.
Dataset analysis
Gene differential analysis [|LogFC|>1, adjusted P-value (FDR) <0.05] was performed by comparing tumor tissue with controls using limma R package. A volcano plot (R for Windows 4.1.0 Setup; rstudio.com) was created to present the fold-change and P-values of differentially expressed genes (DEGs) using limma R package.
Protein-protein interaction (PPI) network construction
Core genes were obtained from PPI network [Search Tool for the Retrieval of Interacting Genes/Proteins (STRING); string-db.org/] and Cytoscape software (Cytoscape_3_8_2_windows_64bit; cytoscape.org/download.html) was used to plot the net diagram. Each node denotes a protein or gene (25); edges between nodes denote molecular interactions.
Patient information
The present study was approved by the Ethics Committee of Wuxi No. 2. People's Hospital (Wuxi, China; approval no. 20180706). The patients were recruited between January and November 2020. For all patient-derived tissues, written informed consent was obtained. A total of 184 patients (sex, 98 male and 86 female; age, 19–87 years) with colon cancer and 45 adjacent normal tissues (sex, 23 male and 22 female; age, 19–85 years) were included.Colon cancer tissue were collected to assess tumor morphology as part of routine surgery. Inclusion criteria were as follows: i) Colon cancer diagnosed by histopathological examination; ii) imaging examination confirmed that there was one or more measurable lesions; iii) routine blood examination, liver and kidney function and ECG were normal and iv) estimated survival time >3 months. Exclusion criteria were as follows: i) Patients with other types of tumor or ii) serious underlying disease.
Immunohistochemistry (IHC)
IHC was performed routinely on all primary colon cancer samples, as previously described (26,27). All samples were fixed in 10% neutral buffered formalin at room temperature for 1 h and maintained at 4°C with 30% saccharose overnight. Subsequently, all biopsy samples were embedded in optimal cutting temperature compound and sectioned in 4-µm thick slices, followed by blocking with 10% normal goat serum (cat. no. abs933; Absin) at 37°C for 60 min. The sections were incubated with SAMHD1 antibody (cat. no. ab128107; Abcam; 1:150) at 37°C for 0.5 h, followed by incubation with HRP-Polymer anti-Mouse/Rabbit IHC kit (cat. no. KIT-5020; MXB; 1:100) at 37°C for 30 min. To visualize the antigen-antibody complexes, sections were counterstained with 0.01% DAB at room temperature for 5 min and hematoxylin at room temperature for 3 min. Slides were washed for 10 min with PBS after every step. All samples were imaged using a CX31 light microscope (Olympus Corporation).
Cell culture and transfection
To eliminate background interference, HT-29 (cas9-SAMHD1) cells were constructed. NCM460 was purchased from American Tissue Culture Colection (Manassas, VA, USA), HT-29 and HT-29 (Cas9-SAMHD1) cells were purchased from Cell Bank of Chinese Academy of Sciences (Shanghai, China) and verified by STR DNA profiling. HT-29 (Cas9-SAMHD1) cells were derived from HT-29 cells, which had previously undergone SAMHD1 gene knockout using CRISPR/Cas9 system. All cells were cultured in McCoy's 5A medium (cat. no. 12330031; Thermo Fisher Scientific, Inc.) supplemented with 10% FBS (cat. no. 16140071; Thermo Fisher Scientific, Inc.), 0.5 mmol/l L-glutamine (cat. no. 25030-024; Thermo Fisher Scientific, Inc.), 0.01 mg/ml insulin (Novo Nordisk A/S), 100 IU/ml penicillin and 100 mg/ml streptomycin (cat. no. DE17-602E; Lonza Group, Ltd.), and all cells were cultured in 37°C and 5% CO2. 100 cm2 Flasks and plates were purchased from Nunc (Thermo Fisher Scientific, Inc.) and 6-well plates were purchased from Corning Life Sciences.HT-29 (Cas9-SAMHD1) cells were inoculated into a 6-well plate (3×105) and incubated for 12 h prior to transfection in 37°C and 5% CO2. Cells were separated into experimental and control groups with each group containing 3 µg plasmid + 5 µl Lipofectamine® 3000 (cat. no. L3000015, Thermo Fisher Scientific). All plasmids, including Flag-SAMHD1 (WT), Flag-SAMHD1 (Q548A), Flag-SAMHD1 (D137N) and Flag-SAMHD1 (D311A), were purchased from Shanghai GenePharma Co., Ltd. The vector for all plasmids involved in this study was PCNDA4.0. Cells were transfected at 70% confluence at room temperature. A total of 5 µl Lipofectamine 3000 was added to 125 µl DMEM/F-12 and mixed well. In addition, 3 µg DNA plasmid and 5 µl P3000™ reagent were added to 125 µl DMEM/F-12 and mixed well. The two solutions were then mixed, maintained at room temperature for 20 min and added into the wells in a drop-wise manner. Cells were transfected in DMEM/F-12 for 6 h, then DMEM/F-12 was replaced with McCoy's 5A for 18 h. Cells were then harvested for subsequent experiments. According to preliminary results, 20 µg/ml was the most suitable concentration of 5-FU for tumor cells (data not shown).
Immunofluorescence (IF)
After placing the cell slide on the 24 well plate, NCM460 normal colon epithelial and HT-29 colorectal cancer cells were inoculated in 24 well plates at a density of 1×105 cells/well. Following 24 h culture at 37°C and 5% CO2, cells were centrifuged and washed with PBS and centrifuged two times at room temperature and 1,000 × g for 5 min. 4% paraformaldehyde was fixed for 20 min and washed with PBS and centrifuged two times at room temperature for 5 min. Cells were fixed with punched with 0.1% Triton X-100 for 10 min and washed with PBS for 5 min at room temperature. Then, 0.1% BSA (cat. no. A8010, Solarbio) was used for blocking at room temperature for 1 h, followed by incubation with SAMHD1 antibody (cat. no. ab128107; Abcam; 1:100) at 4°C overnight and rinsing three times with PBS for 5 min each. Incubation with goat Anti-Mouse IgG H&L (FITC-conjugated; cat. no. ab6785, Abcam) was performed at room temperature in the dark for 1 h, followed by rinsing with PBS three times for 5 min each. The cell nuclei were stained with 10 ug/ml DAPI (cat. no. C0065; Beijing Solarbio Science & Technology Co., Ltd.) for 5 min at room temperature. Next, a drop of sealing agent was added, the film was sealed and imaging with a fluorescence microscope was performed as previously described (28,29). Images were analyzed using Cellsens Standard version 1.9 software (Olympus Corporation; olympus-lifescience.com.cn/zh/software/cellsens/).
Western blotting (WB)
Treated cells were harvested and lysed in RIPA buffering solution (Beyotime Institute of Biotechnology). Protein levels were determined using BCA (Beyotime Institute of Biotechnology). Protein samples (50 µg/lane) from each group were separated using 10% SDS-PAGE, transferred onto PVDF membranes and blocked in BSA. Next, the membranes were immersed in primary antibody at 4°C overnight. The primary antibodies (all Abcam) were as follows: Bax (cat. no. ab53154; 1:1,000), Cleaved-caspase3 (cat. no. ab32042; 1;500), Caspase3 (cat. no. ab32351; 1:1,000), Bcl-2 (cat. no. ab32124; 1:1,000) and Flag (cat. no. ab205606; 1:1,000). The normal band density of GAPDH (cat. no. ab8245; Abcam; 1:1,000) at room temperature for 2 h was used as an internal reference. Then they were rinsed with TBST (0.1% Tween-20, cat. no. ST671, beyotime) three times for 10 min each. Incubation with Rabbit Anti-Mouse IgG H&L (HRP-conjugated; cat. no. ab6728, Abcam, 1:5,000) or goat Anti-Rabbit IgG H&L (HRP, ab6721; Abcam, 1:5,000) was performed at room temperature for 1 h, followed by rinsing with TBST three times for 10 min each. Protein detection was performed using BeyoECL Star (cat. no. P0018AM, beyotime). The bands were quantified using the Image Lab System version 6.1 (Bio-Rad, bio-rad.com/SearchResults?search_api_fulltext=Image+Lab). These assays were performed at least three times, as previously described (30,31).
Cell counting kit-8 (CCK-8) assay
To detect cell proliferation, CCK-8 assays (cat. no. C0037; Beyotime Institute of Biotechnology) were performed. HT-29 (Cas9-SAMHD1) cells at the logarithmic growth stage were collected and digested to prepare HT-29 (Cas9-SAMHD1) cell suspension at room temperature for 1 min by trypsin digestion (cat. no. 25200072, Gibco). Next, 1×104 cells/well were inoculated into 96-well plates. Following 24 h incubation at 37°C and 5% CO2, cell viability in each group was detected prior to transfection. The 200 ng Flag-SAMHD1 (WT), Flag-SAMHD1 (Q548A), Flag-SAMHD1 (D137N) and Flag-SAMHD1 (D311A) plasmids were then transfected into HT-29 (Cas9-SAMHD1) cells. Cell viability was detected 24 and 48 h after transfection. A total of 10 µl CCK-8 solution was added to 90 µl culture medium. The medium was replaced in each well for testing, and cells were incubated at 37°C for 1 h. A microplate reader was used to measure optical density in each well at a wavelength of 450 nm, as previously described (32).Following 24 h transfection at 37°C and 5% CO2, cell viability in the WT and D137N groups was detected. Cell viability was detected for 24 and 48 h following 20 µg/ml 5-FU treatment in 37°C and 5% CO2, as aforementioned.
Statistical analysis
SPSS 19.0 (IBM Corp.) was used to analyze the data. Differences between multiple groups were analyzed using one-way ANOVA followed by Tukey's honestly significant difference post hoc test. Data are expressed as mean ± SEM. An independent samples t-test was used to assess differences between two groups; χ2 test was conducted to determine differences in proportion. Progression-free survival was determined using the Kaplan-Meier method and survival differences were analyzed using log-rank test. Cox proportional hazards model was used for multivariate analysis of prognostic factors. Two-sided P<0.05 was considered to indicate a statistically significant difference. All assays were performed at least three times.
Results
Identification of DEGs in colon cancer
GSE41258 genetic expression matrix and corresponding annotated files were acquired from GEO database. The dataset, which included 187 patients with colon cancer and 45 adjacent normal tissue, was analyzed using the GPL596 Affymetrix Human Genome U133 Plus 2.0 Array. A total of 6,905 DEGs were identified from the GSE41258 dataset using the R package. DEGs were identified using microarray volcano plots (Fig. 1A). STRING database and Cytoscape were used to construct and visualize a PPI network of DEGs. The location of DEG was visualized by PPI analysis. The KRAS mutation is common in colon cancer (occurring in 30–50% of cases) and has been recognized as a key molecular marker for predicting response to anti-epidermal growth factor receptor monoclonal antibodies, cetuximab and panitumumab in metastatic colon cancer (33). Using the PPI network, SAMHD1 was found to be associated with KRAS and the expression of SAMHD1 is upregulated in colon cancer. The red is up and green is downregulation. (Fig. 1B). A total of 187 patients with colon cancer from the GEO database were divided into high and low KRAS expression groups. SAMHD1 expression was negatively associated with KRAS (Fig. 1C). Cox proportional hazards model was used to analyze the effect of multivariate data (SAMHD1 expression, age, sex and TNM) on patient mortality. Cox proportional hazards regression analysis and survival analysis found that low SAMHD1 expression was a factor that led to patient mortality (Fig. 1D). The survival time of patients with low SAMHD1 expression was significantly shorter compared with that of patients with high SAMHD1 expression (Fig. 1E). According to bioinformatics, low expression of SAMHD1 was associated with poor prognosis.
Figure 1.
Identification of DEGs in colon cancer. (A) DEGs were identified using microarray volcano plots. (B) Using a protein-protein interaction network, SAMHD1 was found to be associated with KRAS. (C) SAMHD1 expression was negatively associated with KRAS (P=0.0035). (D) Cox proportional hazards model was used to analyze the effect of univariate data (SAMHD1 expression, age, sex and TNM) on mortality of patients with colon cancer. (E) Survival analysis showed that the survival time of patients with low SAMHD1 was significantly shorter compared with that of patients with high SAMHD1 expression. DEGs, differentially expressed genes; FC, fold change; KRAS, Kirsten rat sarcoma virus; SAMHD1, sterile α motif and histidine/aspartic acid domain-containing protein 1.
Low expression of SAMHD1 in colon cancer
IHC analysis of colon cancer tissue revealed lower expression of SAMHD1 compared with expression in adjacent normal tissue (Fig. 2A and B). The nucleus of healthy tissue exhibited diffuse brown staining, indicating the presence of SAMHD1. However, low SAMHD1 expression was detected in patients with colon cancer. To verify these results, expression levels of SAMHD1 were measured in HT-29 colorectal cancer cells. IF revealed lower SAMHD1 expression in HT-29 compared with NCM460 healthy colonic epithelial cells (Fig. 2C and D), which was consistent with IHC results.
Figure 2.
Low expression of SAMHD1 in colon cancer. (A) Representative IHC staining images and (B) quantitative analysis of colon cancer tissue revealed lower expression of SAMHD1 in colon cancer tissues compared with adjacent normal tissues. (C) Representative immunofluorescence staining images and (D) quantitative analysis revealed significantly lower SAMHD1 expression in HT-29 colorectal cancer cells compared with expression in NCM460 normal colon epithelial cells, which was consistent with IHC. **P<0.01. IHC, immunohistochemistry; SAMHD1, sterile α motif and histidine/aspartic acid domain-containing protein 1.
To determine the association between SAMHD1 expression and clinical features, patients were divided into two groups: Positive (≥5%) and negative (<5%) SAMHD1 expression (Table I). No significant differences in age and sex were observed between the two groups. There was a significant association between SAMHD1 expression and N, T and M stage. These data indicated that SAMHD1 may be a biological marker for diagnosis and prognosis of patients with colon cancer.
Table I.
SAMHD1 expression in colon cancer.
Clinicopathological characteristic
SAMHD1 negative (n=148)
SAMHD1 positive (n=36)
χ2
P-value
Sex
Male
76
22
0.353
0.1930
Female
72
14
Age, years
≤65
76
20
0.205
0.6510
>65
72
16
T
1+2
37
21
14.905
<0.0001
3+4
111
15
N
0
38
13
1
44
16
7.677
0.0220
2
66
7
M
0
59
21
4.019
0.0450
1
89
15
SAMHD1, sterile α motif and histidine/aspartic acid domain-containing protein 1.
D137N mutation of SAMHD1 inhibits apoptosis and promotes proliferation of HT-29 (Cas9-SAMHD1)
Post-translational modification and associated sites of SAMHD1 are presented in Table II. WB showed SAMHD1 expression was significantly lower in the HT-29 (Cas9-SAMHD1) group compared with HT-29 (Fig. 3A and B), which indicated the HT-29 (Cas9-SAMHD1) cell model was successfully constructed. Then, three classical mutation sites of SAMHD1 were selected: Q548A, D137N and D311A (11,12). Q548A is RNase deletion, D137N is dNTPase deletion, D311A is RNase deletion and dNTPase deletion (11,12). WB analysis showed that there was no significant difference in Caspase3, Cleaved-caspase3, Bax and Bcl-2 expression levels between the Q548A and WT groups (Fig. 3C and D). Compared with the WT group, expression levels of Caspase3, Cleaved-caspase3 and Bax significantly decreased, whereas Bcl-2 expression significantly increased in the D137N and D311A groups, which indicated that D137N and D311A groups significantly inhibited the expression of apoptosis-related proteins. CCK-8 results showed that the difference in proliferation between the Q548A and WT groups was not statistically significant (Fig. 3E). Compared with WT group, proliferation increased in the D137N and D311A groups.
Table II.
Modifications in SAMHD1 in point mutation.
Records, n
Mutation
Flanking sequence
Modification
LTP
HTP
S6
MQRADsEQPSkRP
Phosphorylation
0
4
K11
ADsEQPSkRPRCDDs
Ubiquitylation
0
4
S18
kRPRCDDsPRtPsNt
Phosphorylation
3
62
T21
RCDDsPRtPsNtPsA
Phosphorylation
4
106
S23
DDsPRtPsNtPsAEA
Phosphorylation
0
15
N24
DsPRtPsntPsAEAD
Phosphorylation
1
18
T25
sPRtPsNtPsAEADW
Phosphorylation
3
45
S27
RtPsNtPsAEADWsP
Phosphorylation
0
8
E29
PsNtPsAeADWsPGL
Phosphorylation
0
10
S33
PsAEADWsPGLELHP
Phosphorylation
4
50
V63
RGGFEEPvLLkNIRE
Ubiquitylation
0
1
K66
FEEPVLLkNIRENEI
Ubiquitylation
0
10
S93
FENLGVSsLGERkkL
Phosphorylation
0
1
K98
VSsLGERkkLLsyIQ
Ubiquitylation
0
1
K99
SsLGERkkLLsyIQR
Ubiquitylation
0
3
S102
GERkkLLsyIQRLVQ
Phosphorylation
0
2
Y103
ERkkLLsyIQRLVQI
Phosphorylation
0
1
T138
LLVRIIDtPQFQRLR
Phosphorylation
0
1
Y146
PQFQRLRyIkQLGGG
Phosphorylation
0
1
K148
FQRLRyIkQLGGGYy
Ubiquitylation
0
1
Y155
kQLGGGYyVFPGASH
Phosphorylation
0
1
E255
NGIKPVMeQYGLIPE
Acetylation
0
1
K269
EEDICFIkEQIVGPL
Ubiquitylation
0
1
S278
QIVGPLEsPVEDSLW
Phosphorylation
1
24
E281
GPLEsPVeDSLWPYk
Ubiquitylation
0
1
S283
LEsPVEDsLWPYkGR
Phosphorylation
0
1
K288
EDSLWPYkGRPENkS
Ubiquitylation
0
1
K294
YkGRPENkSFLYEIV
Acetylation
0
1
K294
YkGRPENkSFLYEIV
Ubiquitylation
0
1
K304
LYEIVSNkRNGIDVD
Ubiquitylation
0
5
K312
RNGIDVDkWDyFARD
Ubiquitylation
0
3
Y315
IDVDkWDyFARDCHH
Phosphorylation
0
3
K332
IQNNFDYkRFIKFAR
Sumoylation
0
2
E346
RVCEVDNeLRICARD
Ubiquitylation
0
1
Y360
DKEVGNLyDMFHTRN
Phosphorylation
0
1
T384
KVGNIIDtMItDAFL
Phosphorylation
0
2
T387
NIIDtMItDAFLKAD
Phosphorylation
0
2
K405
EITGAGGkKYRISTA
Phosphorylation
0
1
Y419
AIDDMEAyTKLTDNI
Phosphorylation
0
1
Y432
NIFLEILySTDPKLK
Phosphorylation
0
1
K446
KDAREILkQIEYRNL
Ubiquitylation
0
9
K455
IEYRNLFkYVGETQP
Ubiquitylation
0
4
K467
TQPTGQIkIkREDYE
Ubiquitylation
0
1
K469
PTGQIkIkREDYESL
Sumoylation
0
3
K478
EDYESLPkEVAsAKP
Ubiquitylation
0
1
S482
SLPkEVAsAKPkVLL
Phosphorylation
0
1
K484
PkEVAsAkPkVLLDV
Ubiquitylation
0
1
K486
EVAsAKPkVLLDVKL
Phosphorylation
0
2
Y507
VDVINMDyGMQEKNP
Phosphorylation
0
1
S519
KNPIDHVsFYCKTAP
Phosphorylation
0
1
K534
NRAIRITkNQVSQLL
Ubiquitylation
0
1
K544
VSQLLPEkFAEQLIR
Ubiquitylation
0
4
Y553
AEQLIRVyCKKVDRk
Phosphorylation
0
1
K560
yCKKVDRkSLYAARQ
Phosphorylation
0
1
T579
WCADRNFtKPQDGDV
Phosphorylation
0
1
T592
DVIAPLItPQkkEWN
Phosphorylation
15
64
K595
APLItPQkkEWNDsT
Sumoylation
1
2
K596
PLItPQkkEWNDsTS
Ubiquitylation
0
1
S601
QkkEWNDsTSVQNPt
Phosphorylation
0
1
T608
sTSVQNPtRLREASK
Phosphorylation
0
1
S616
RLREASKsRVQLFkD
Phosphorylation
0
2
K622
KsRVQLFkDDPM
Sumoylation
0
2
HTP, high throughput paper (records in which this modification site was assigned using only proteomic discovery mass spectrometry); LTP, low throughput paper (records in which modification site was determined using methods other than discovery mass spectrometry); SAMHD1, sterile α motif and histidine/aspartic acid domain-containing protein 1.
Figure 3.
D137N mutation of SAMHD1 inhibits apoptosis and promotes proliferation of HT-29 (Cas9-SAMHD1). (A) Successful construction of HT-29 (Cas9-SAMHD1) model. (B) Semi-quantitative analysis of WB images from (A); GAPDH was used as a positive control. **P<0.01. (C) Representative WB images and (D) semi-quantitative analysis of apoptosis-related protein expression in WT, Q548A, D137N and D311A groups. One-way ANOVA followed by Tukey's honestly significant difference post hoc test was used to evaluate the difference between groups. *P<0.05 vs. WT. (E) Cell Counting Kit-8 assay was used to detect cell viability in the WT, Q548A, D137N and D311A groups at 0, 24 and 48 h. *P<0.05 vs. WT. OD, optical density; SAMHD1, sterile α motif and histidine/aspartic acid domain-containing protein 1; WB, western blotting; WT, wild-type.
5-FU treatment promotes apoptosis and inhibits proliferation of HT-29 (Cas9-SAMHD1)
WB analysis showed that in the WT and D137N groups, Caspase3, Cleaved-caspase3 and Bax expression significantly increased and Bcl-2 significantly decreased over time following 20 µg/ml 5-FU treatment (Fig. 4A and B), potentially promoting cell apoptosis. However, compared with the WT group, Caspase3, Cleaved-caspase3 and Bax expression levels were significantly lower and the Bcl-2 level was significantly higher in the D137N group, suggesting a potentially inhibiting effect on the expression of apoptosis-related proteins. CCK-8 results showed that, following 20 µg/ml 5-FU treatment, proliferation in the WT and D137N groups was significantly decreased over time (Fig. 4C). However, compared with the WT group, viability in the D137N group was significantly higher at each time point.
Figure 4.
5-FU treatment promotes apoptosis and inhibits proliferation of HT-29 (Cas9-SAMHD1). (A) Apoptosis-related protein expression was detected by WB analysis following treatment with 20 µg/ml 5-FU for 48 h. (B) Semi-quantitative analysis of the WB images in (A); GAPDH was used as a positive control. One-way ANOVA followed by Tukey's honestly significant difference post hoc test was used to evaluate the difference between groups. *P<0.05 D137N vs. WT; ΔP<0.05 24 h vs. 0 h; ☆P<0.05 48 h vs. 0 h. (C) Cell Counting Kit-8 assay was used to determine cell viability following 20 µg/ml 5-FU treatment for 0, 24 and 48 h. *P<0.05 vs. WT. 5-FU, fluorouracil; OD, optical density; SAMHD1, sterile α motif and histidine/aspartic acid domain-containing protein 1; WB, western blotting; WT, wild-type.
Discussion
The human SAMHD1 gene was first cloned from human dendritic cell cDNA in 2000 (34). Its protein expression is induced by IFN-γ (34,35). In addition to being associated with occurrence and development of lung and colon cancer, low-level exogenous SAMHD1 expression leads to a notable decrease in development, proliferation and colony formation of HUT78 human T lymphocyte leukemia cells by promoting apoptosis, and SAMHD1 may be a therapeutic target against cancer involving T lymphocytes (20,23,36). The number of SAMHD1 mutations and expression levels vary between types of so lid cancer, such as lung adenocarcinoma and colon cancer, and affect the efficiency of clinical first-line chemotherapy drug ara-C in leukemia (20,23,37). Multipoint gene mutations of SAMHD1 were detected in leukemia cells, resulting in decreased mRNA and protein expression levels of SAMHD1 (38,39). The sensitivity of THP-1 human myeloid leukemia monocytes, which do not exhibit dNTPase activity of SAMHD1, to anti-metabolites, such as fludarabine, decitabine, cytarabine and clofarabine, has improved (40). SAMHD1 protects cancer cells from anti-nucleoside metabolites, such as ara-C (37,40–42). Certain SAMHD1 mutation results in loss of dNTPase activity, leading to abnormal dNTP accumulation, which causes rapid cancer cell proliferation (43–46) and immune system dysfunction (44). In addition, SAMHD1 may protect cancer cells from DNA replication inhibitors, such as antimetabolite antineoplastic agents (43,47). As a result, SAMHD1 is considered a potential biomarker for the stratification of patients with AML based on response to ara-C and a potential therapeutic agent against ara-C-refractory AML (37). It is hypothesized that a similar phenomenon may occur in colon cancer. Previous studies have found that SAMHD1 mutations increase whole mutation rates in colon cancer cells, and SAMHD1 may be a prognostic marker of colorectal cancer (23,48). D137N (dNTPase deletion) and D311A mutation (RNase and dNTPase deletion) prevent the antiviral activity of SAMHD1, whereas the Q548A mutation (RNase deletion) does not significantly inhibit its antiviral activity (11). The present study analyzed the association between SAMHD1 and KRAS and found that SAMHD1 was expressed at low levels in colon cancer. The effects of three classic SAMHD1 mutations (Q548A, D137N and D311A) on apoptosis and proliferation of colon cancer cells were subsequently assessed. The effect treatment with first-line drug 5-FU against colon cancer cells with D137N mutation is time-dependent.The incidence and mortality rate of colon cancer in 2018 ranked fourth (3) in all types of cancer worldwide, which showed that the present research has high clinical value. In addition, a review of The Cancer Genome Atlas found that, among 15 types of cancer with frequent SAMHD1 mutations, mutation rate of SAMHD1 in colon cancer ranked third and frequent mutations in SAMHD1 gene that result in its downregulation have also been found in colon cancer (23). Here, SAMHD1 was differentially expressed between the adjacent normal tissue group and the colorectal cancer group. Therefore, the present study investigated expression of SAMHD1 in colon cancer. In the present study, 6,905 DEGs were identified using R software firstly. The classical colorectal cancer gene KRAS was selected and found different SAMHD1 expression levels in KRAS-L and KRAS-H in colorectal cancer. SAMHD1 and KRAS were found to be negatively associated. Cox proportional hazards regression and survival analyses demonstrated that low expression of SAMHD1 was associated with increased patient mortality. This is consistent with the conclusions of previous studies in AML (49). Therefore, it was hypothesized that SAMHD1 may serve a key role in colorectal cancer. The expression of SAMHD1 in colorectal cancer was assessed in tissue and cells; its mRNA expression was lower in tumor compared with that in adjacent normal tissue. Similarly, compared with NCM460 normal colon epithelial cells, SAMHD1 expression in HT-29 colorectal cancer cells was decreased, which was consistent with the results of bioinformatic analysis. The effect of mutations in the dNTPase functional site of SAMHD1 on proliferation and apoptosis of colon cancer was investigated. Therefore, three previously reported mutation sites of SAMHD1 were selected: Q548A, D137N and D311A (11,12). The Q548A mutation had no significant effect on proliferation and apoptosis of HT-29 cells compared with WT group, whereas D137N and D311A notably promoted proliferation and inhibited apoptosis of HT-29 cells. WT and D137N groups were treated with 20 µg/ml 5-FU for 24 and 48 h. The results showed cell proliferation was inhibited and apoptosis-related protein expressions were promoted in WT and D137N groups over time following 20 µg/ml 5-FU treatment. However, compared with the WT group, cell proliferation in the D137N group was higher and apoptosis-associated protein expression levels were lower following 20 µg/ml 5-FU treatment.In conclusion, SAMHD1 was expressed at low levels and was associated with prognosis in colon cancer. The dNTPase function of SAMHD1 may inhibit proliferation and promote apoptosis in colon cancer cells. In addition, first-line chemotherapy with 5-FU had a time-dependent effect on colon cancer cells, which may provide novel options for clinical treatment of colon cancer.
Authors: Russell C Dale; Hannah Gornall; Davinder Singh-Grewal; Melanie Alcausin; Gillian I Rice; Yanick J Crow Journal: Am J Med Genet A Date: 2010-04 Impact factor: 2.802
Authors: Rebecca L Siegel; Kimberly D Miller; Stacey A Fedewa; Dennis J Ahnen; Reinier G S Meester; Afsaneh Barzi; Ahmedin Jemal Journal: CA Cancer J Clin Date: 2017-03-01 Impact factor: 508.702
Authors: Suresh de Silva; Feifei Wang; Timothy S Hake; Pierluigi Porcu; Henry K Wong; Li Wu Journal: J Invest Dermatol Date: 2013-07-24 Impact factor: 8.551
Authors: Serena Bonifati; Michele B Daly; Corine St Gelais; Sun Hee Kim; Joseph A Hollenbaugh; Caitlin Shepard; Edward M Kennedy; Dong-Hyun Kim; Raymond F Schinazi; Baek Kim; Li Wu Journal: Virology Date: 2016-05-14 Impact factor: 3.616
Authors: Gillian I Rice; Jacquelyn Bond; Aruna Asipu; Rebecca L Brunette; Iain W Manfield; Ian M Carr; Jonathan C Fuller; Richard M Jackson; Teresa Lamb; Tracy A Briggs; Manir Ali; Hannah Gornall; Lydia R Couthard; Alec Aeby; Simon P Attard-Montalto; Enrico Bertini; Christine Bodemer; Knut Brockmann; Louise A Brueton; Peter C Corry; Isabelle Desguerre; Elisa Fazzi; Angels Garcia Cazorla; Blanca Gener; Ben C J Hamel; Arvid Heiberg; Matthew Hunter; Marjo S van der Knaap; Ram Kumar; Lieven Lagae; Pierre G Landrieu; Charles M Lourenco; Daphna Marom; Michael F McDermott; William van der Merwe; Simona Orcesi; Julie S Prendiville; Magnhild Rasmussen; Stavit A Shalev; Doriette M Soler; Marwan Shinawi; Ronen Spiegel; Tiong Y Tan; Adeline Vanderver; Emma L Wakeling; Evangeline Wassmer; Elizabeth Whittaker; Pierre Lebon; Daniel B Stetson; David T Bonthron; Yanick J Crow Journal: Nat Genet Date: 2009-06-14 Impact factor: 38.330
Figure 1.
Figure 2.
Figure 3.
Figure 4.