Rujian Lu1, Qian Zhou2, Linling Ju3, Lin Chen3, Feng Wang4, Jianguo Shao3. 1. Department of Cardiothoracic Surgery, Nantong Third People's Hospital, Nantong University, Nantong, Jiangsu 226006, P.R. China. 2. Department of Internal Medicine, Medical School of Nantong University, Nantong, Jiangsu 226006, P.R. China. 3. Nantong Institute of Liver Disease, Nantong Third People's Hospital, Nantong University, Nantong, Jiangsu 226006, P.R. China. 4. Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu 226006, P.R. China.
Abstract
Lung cancer is the most common malignant tumor type and it is associated with poor prognosis. The identification of potential biomarkers is of great significance for the early diagnosis and treatment of lung cancer. Non‑small cell lung cancer (NSCLC) is the most common pathological type of lung cancer. The present study aimed to investigate the mechanism via which thyroid hormone receptor‑interacting protein 13 (TRIP13) participates in the malignant progression of NSCLC. Immunohistochemistry, reverse transcription‑quantitative PCR and western blotting were used to assess the expression level of TRIP13. According to The Cancer Genome Atlas database, TRIP13 was upregulated in NSCLC tissues compared with adjacent normal tissues. Moreover, TRIP13 knockdown increased apoptosis, induced cell cycle arrest in the S phase and inhibited the proliferation, invasion and migration of H1299 cells in vitro. Furthermore, TRIP13 upregulation was closely associated with tumor metastasis via epithelial‑mesenchymal transformation. In conclusion, TRIP13 could promote the malignant progression of lung cancer, and TRIP13 may be a potential biomarker for the early diagnosis and treatment of NSCLC.
Lung cancer is the most common malignant tumor type and it is associated with poor prognosis. The identification of potential biomarkers is of great significance for the early diagnosis and treatment of lung cancer. Non‑small cell lung cancer (NSCLC) is the most common pathological type of lung cancer. The present study aimed to investigate the mechanism via which thyroid hormone receptor‑interacting protein 13 (TRIP13) participates in the malignant progression of NSCLC. Immunohistochemistry, reverse transcription‑quantitative PCR and western blotting were used to assess the expression level of TRIP13. According to The Cancer Genome Atlas database, TRIP13 was upregulated in NSCLC tissues compared with adjacent normal tissues. Moreover, TRIP13 knockdown increased apoptosis, induced cell cycle arrest in the S phase and inhibited the proliferation, invasion and migration of H1299 cells in vitro. Furthermore, TRIP13 upregulation was closely associated with tumor metastasis via epithelial‑mesenchymal transformation. In conclusion, TRIP13 could promote the malignant progression of lung cancer, and TRIP13 may be a potential biomarker for the early diagnosis and treatment of NSCLC.
At present, lung cancer has the highest mortality rate among all malignant tumors (1). According to statistics, as of 2018, lung cancer accounted for 11.6% of all cancer cases and cancer-related mortality (2). It is well known that smoking, air pollution and chronic lung disease are all common causes of lung cancer (3,4). Although early screening for lung cancer is widespread, most patients are diagnosed at the terminal stage and have a poor prognosis. Despite current popular targeted therapy and immunotherapy, it remains difficult to achieve satisfactory results (5,6). Determining the stage of lung cancer is required for treatment but it also important for evaluating prognosis. Based on the 8th edition of the American Joint Committee on Cancer, the size of the tumor, number of lymph nodes and sites of distant metastasis are the three major factors for determining cancer stage (7). Lung cancer can be divided into non-small cell lung cancer (NSCLC) and SCLC, then NSCLC can be further characterized into lung adenocarcinoma, lung squamous cell cancer and large cell cancer (8). Moreover, NSCLC is the most common pathological type. At present, providing a novel target for the molecular diagnosis and treatment of NSCLC has become a hotspot in basic research.Thyroid hormone receptor-interacting protein 13 (TRIP13) is one of the most important members of the ATPase family associated with various cellular activities (AAA+) ATPase family, which is associated with cell cycle checkpoint and DNA repair (9,10). TRIP13 participates in numerous cellular physiological processes, including chromosome checkpoints, DNA break repair and chromosome synapsis (11). The spindle assembly checkpoint (SAC), which is closely associated with chromosome repair, ensures that all chromosomes produce bipolar spindle structures before mitosis occurs (12,13). The participation of TRIP13 affects the formation of SAC structure. For example, Tao et al (14) reported that overexpression of TRIP13 promoted multiple myeloma cell proliferation by invalidating checkpoints via the Akt pathway. TRIP13 is an oncogene considered to be involved in the progression of multiple tumor types, such as hepatocellular carcinoma (15,16), colorectal cancer (17), bladder cancer (18) and prostate cancer (19), and is associated with a poor prognosis. Zhang et al (20) revealed that TRIP13 may promote the malignant progression of NSCLC and may be a potential target. Furthermore, TRIP13 knockdown could arrest lung cancer cells in the G2/M phase, and it could regulate the expression levels of genes associated with cell cycle checkpoints. However, the mechanism of TRIP13 influencing the invasion and metastasis of NSLCL has not been fully elucidated. Epithelial-mesenchymal transformation (EMT) serves an important role in tumor metastasis by enhancing the motility of cancer cells (21). At present, the mechanism of TRIP13 influencing EMT process remains unknown and should be further investigated.The present study aimed to examine the association of TRIP13 with NSCLC. Reverse transcription-quantitative (RT-qPCR) and western blot analyses were conducted to assess the role of TRIP13 in regulating apoptosis, proliferation, invasion and migration. Furthermore, knockdown or overexpression of TRIP13 may affect the EMT during the progression of tumors. Studying the molecular biological mechanism underlying the occurrence and development of NSCLC and identifying effective biomarkers are extremely important.
Materials and methods
Clinical information and bioinformatic analyses
The clinical information of patients and mRNA expression levels of TRIP13 were obtained for NSCLC tissues (n=515) and adjacent normal tissues (n=59) from The Cancer Genome Atlas (TCGA) database (https://cancer.gov/). These tissues were obtained from 238 men and 276 women. The age of patients ranged from 40–80 years. The relationships between TRIP13 and different stages of NSCLC, as well as numbers of axillary lymph node metastases are presented. Kaplan-Meier analysis was performed to evaluate the prognostic value of TRIP13 at high level (n=124) compared with low level (n=378) according to data from TCGA database. The threshold of optimal gene expression was set as the cut-off. The log-rank test was used to further evaluate the P-value.
Cell culture and cell transfection
Human NSCLC cell lines, A549, H1299 and H661, were purchased from the Chinese Academy of Sciences. Cells were cultured in DMEM (Gibco; Thermo Fisher Scientific, Inc.) supplemented with 10% FBS (Cell Sciences) in a humidified atmosphere with 5% CO2 at 37°C. Small interfering (si)RNA negative control (si-NC) and TRIP13 siRNA molecules (si1 and si2), pcDNA-3.1 vector (empty vector) and TRIP13-overexpressing plasmid were purchased from Suzhou GenePharma Co., Ltd. The cells were maintained in 6-well plates until they reached 60–70% confluence. According to the manufacturer's instructions, the siRNAs (2.5 µg) and overexpression plasmid (2.5 µg) were transfected into A549 and H1299 cells using Lipofectamine® 2000 (Invitrogen; Thermo Fisher Scientific, Inc.) at room temperature and the medium with serum was changed after 6 h. RNA was extracted 48 h after transfection to verify the knockdown and overexpression effects. All experiments were repeated three times. The siRNA sequences were: si1, 5′-GACCAGAAAUGUGCAGUCU-3′; si2, 5′-GCAAAUCACUGGGUUCUAC-3′; and si-NC, 5′-UUCUCCGAACGUGUCACGUTT−3′.
RT-qPCR
Total RNA was extracted from NSCLC cell lines and tumor tissues using TRIzol® reagent (Invitrogen; Thermo Fisher Scientific, Inc.). Then, the RNA was reverse transcribed into cDNA using PrimeScript RT Master mix (Takara Bio, Inc.). The RT conditions were 37°C for 15 min, 85°C for 5 sec and 4°C preservation. The expression level of TRIP13 was determined via RT-qPCR using SYBR Green Master mix (Vazyme Biotech Co., Ltd.) and a Bio-Rad Real-Time PCR detection system (Bio-Rad Laboratories, Inc.). The complete thermocycling conditions were: Initial denaturation at 95C° for 2 min, followed by 40 cycles of denaturation at 95°C for 10 sec, annealing and elongation at 60°C for 30 sec, and the final extension at 72°C for 7 min. β-actin was the internal control. The expression level of the relevant genes was calculated using the formula 2−∆∆Cq (22). All experiments were repeated three times. The primer sequences were as follows: TRIP13 forward, 5′-GCGTGGTCAATGCTGTCTTG-3′ and reverse, 5′-CACGTCGATCTTCTCGGTGA-3′ and β-actin forward, 5′-CCAACCGCGAGAAGATGA−3′ and reverse, 5′-CCAGAGGCGTACAGGGATAG-3′.
Immunohistochemistry (IHC)
Paraffin-embedded NSCLC tissues (n=10) were fixed with 4% paraformaldehyde for 24 h at room temperature, then cut into 5-µm paraffin sections and attached to slides. After dewaxing with xylene for 30 min at room temperature, the slices were boiled for 10 min in citric acid buffer solution (pH 6.0) for antigen repair, blocked with 10% non-immune goat serum (LMAI Bio) for 30 min at room temperature and incubated with an antibody against TRIP13 (1:1,000; cat. no. ab204331; Abcam) overnight at room temperature. Then, the slices were incubated with HRP-conjugated secondary antibody (1:2,000; cat. no. ab205718; Abcam) for 30 min at room temperature. After diaminobenzidine staining, the degree of staining was observed under a fluorescent microscope. There was a total of 10 patients, consisting of 5 men and 5 women. The age of patients ranged 44–70 years. The following samples were collected: Five tissues in right upper lobe, five tissues in right lower lobe, one tissue in left upper lobe and one tissue in left lower lobe. Moreover, the paired adjacent normal tissues were also obtained from these patients. All tissues were obtained between March 2020 and November 2020. All samples came from patients at The Third People's Hospital of Nantong Affiliated to Nantong University. Informed consent was obtained from each patient. This study was approved by the Ethics Committee of The Third People's Hospital of Nantong Affiliated to Nantong University. All experiments were repeated three times.
Cell apoptosis assay
The apoptotic rate was measured via flow cytometry and included the percent of early and late apoptotic cells. After transfection, the dead cells were collected and stained with 5 µl Annexin V PE and 5 µl 7-AAD (BD Biosciences) in the dark at room temperature for 15 min. In total, ~400 µl diluted binding buffer was added to each sample. Then, the apoptotic rate was measured using a FACSCalibur flow cytometer (BD Biosciences), and the results were analyzed using FlowJo software 10.7 (FlowJo LLC). All experiments were repeated three times.
Cell cycle assay
Human A549 and H1299 cells were transfected with the siRNAs or overexpression plasmid for 48 h. The cells were resuspended in 70% ethanol and incubated in a −20°C freezer for >24 h. The samples were stained with 20 µg/ml PI and 20 µg/ml RNase A (Sigma-Aldrich; Merck KGaA) for 15 min at room temperature. Flow cytometry (BD Biosciences) was used to analyze cell cycle progression, and the data were processed using FlowJo software 10.7 (FlowJo LLC). All experiments were repeated three times.
Cell proliferation assay
The proliferation of the NSCLC cells was measured using a Cell Counting Kit-8 (CCK-8; Dojindo Molecular Technologies, Inc.) assay, according to the manufacturer's instructions. A total of 4×103 cells per well were seeded in 96-well plates and cultured for 0, 24, 48 and 72 h. After incubation with 10 µl CCK-8 solution for 2 h at 37°C, the absorbance values were measured at 450 nm. All experiments were repeated three times.
Transwell assay
Transwell assays were performed to detect cell invasion and migration. For the invasion assay, a total of 40 µl Matrigel (BD Biosciences) was diluted with serum-free medium and placed in the upper chamber (pore size, 3 µm; MilliporeSigma) for 30 min at 37°C, and 2×105 cells were plated in the upper chamber with 200 µl serum-free medium. DMEM with 20% FBS was added to the lower chamber. For the migration assay, Matrigel was not required in the upper chamber. After incubation for 48 h at 37°C, the cells that adhered to the lower surface of the filter were stained with 1% crystal violet for 10 min at room temperature. Then, the quantity of invading or migrating cells was determined under an Olympus IX73-FL-PH inverted microscope (Olympus Corporation). All experiments were repeated three times.
Wound healing assay
A549 and H1299 cells were seeded in a 6-well plate using medium with FBS-free for 24 h after transfection and covered 70–80% of the plate. A straight line was scratched the plate with a 10-µl pipette tip and every line was spaced at 0.5 cm. PBS was used to removed cell debris. The cell healing was filmed at 0 and 24 h using an Olympus IX73-FL-PH inverted microscope (Olympus Corporation). The distance of lines was measured using ImageJ 1.8.0 (National Institutes of Health). All experiments were repeated three times.
Western blotting
Total proteins were extracted from cells with RIPA lysis buffer (Beyotime Institute of Biotechnology), and the concentrations of the proteins were measured using a BCA protein assay kit (Beyotime Institute of Biotechnology). The samples were mixed with loading buffer, were electrophoresed on 10% SDS-PAGE gels and transferred to PVDF membranes (MilliporeSigma). The membranes were blocked with 5% non-fat milk (Beyotime Institute of Biotechnology) for 2 h at room temperature and incubated overnight at 4°C with primary antibodies [anti-TRIP13, anti-β-actin, anti-vimentin, anti-E-cadherin, anti-snail family transcriptional repressor 1 (Snail)]. The membranes were completely washed three times with TBS-Tween-20 (0.1%) (Beyotime Institute of Biotechnology) and further incubated with a specific HRP-conjugated secondary antibody (1:2,000; cat. no. ab205718; Abcam) for 1 h at room temperature. The densitometry was measured using ImageJ 1.8.0. All experiments were repeated three times. The primary antibodies were anti-TRIP13 (1:1,000; cat. no. ab204331; Abcam), anti-β-actin (1:2,000; cat. no. ab8227; Abcam), anti-vimentin (1:1,000; cat. no. 5741S; Cell Signaling Technology, Inc.), anti-E-cadherin (1:1,000; cat. no. 3195S; Cell Signaling Technology, Inc.) and anti-Snail (1:1,000; cat. no. NBP2-27293; Novus Biologicals, Inc.).
Statistical analysis
All the data are presented as the mean ± SD. Most of the differences between two groups were determined using an unpaired t-test. The expression level of TRIP13 between NSCLC tissues and adjacent normal tissues detected via RT-qPCR was compared using a paired Student's t-test. Multiple comparison between the group was performed using one-way ANOVA and Tukey's test. P<0.05 was considered to indicate a statistically significant difference. All the data statistical analyses were conducted using GraphPad Prism 8.0 (GraphPad Software Inc.).
Results
TRIP13 is upregulated in NSCLC
To study the expression of TRIP13 in NSCLC, clinical data from TCGA, including data from 59 normal samples and 515 primary tumor samples, were analyzed. It was found that TRIP13 was upregulated in the NSCLC tissues compared with the adjacent normal tissues (Fig. 1A). The data demonstrated that the expression level of TRIP13 was more significantly increased with higher stages of NSCLC, and each stage was statistically significant compared with the normal group (Fig. 1B).
Figure 1.
Expression level of TRIP13 in NSCLC. (A) TRIP13 was upregulated in NSCLC (n=59) compared with normal tissues (n=515). (B) Expression level of TRIP13 in NSCLC based on individual cancer stages. (C) Relative TRIP13 expression in NSCLC based on the number of axillary lymph nodes. (D) The Kaplan-Meier Plotter analyzed the survival rate of patients with high or low levels of TRIP13. TRIP13, thyroid hormone receptor-interacting protein 13; NSCLC, non-small cell lung cancer; LUAD, lung adenocarcinoma.
To further evaluate the effect of TRIP13 expression on prognosis, four cancer stages were identified based on the number of axillary lymph nodes affected. As the number of affected nodes increased, the expression level of TRIP13 was significantly upregulated in the NSCLC tissues compared with the normal tissues, and increased TRIP13 expression predicted poor prognosis (Fig. 1C). Furthermore, the survival analysis revealed that patients with high TRIP13 levels (n=124) had poorer prognosis compared with those with low TRIP13 levels (n=378) (Fig. 1D).IHC analysis identified that the nuclei were stained yellow brown or dark brown and that TRIP13 was located in the nucleus in 10 NSCLC tissues (Fig. 2A). The results of TRIP13 positive cells were assessed by two pathologists who did not know the tumor grade. In total, 10 high-power fields were observed and the positive percentage was calculated. The quantitative data are shown in Fig. 2B. To determine the biological function of TRIP13 in NSCLC cells, three cell lines, namely, A549, H1299 and H661 cell lines, were selected for the experiment (Fig. 2C). The expression level of TRIP13 was low in A549 cells, but its expression was high in H1299 cells.
Figure 2.
Expression level of TRIP13 in NSCLC tissues and cells. (A) Immunohistochemistry revealed the expression level of TRIP13 in NSCLC tissues compared with adjacent normal tissues (n=10). Scale bar, 100 µm. (B) Quantitative analysis of TRIP13 positive cells after staining was shown in 10 randomly selected HPF of view. (C) Reverse transcription-quantitative PCR was used to detect the expression level of TRIP13 in cell lines (A549, H1299, H661). All data are presented as the mean ± SD. *P<0.05, ****P<0.001. NSCLC, non-small cell lung cancer; TRIP13, thyroid hormone receptor-interacting protein 13; HPF, high-power-fields.
Knockdown of TRIP13 inhibits the proliferation, invasion and migration and increases apoptosis of H1299 cells
si1 and si2 were used to knockdown the expression of TRIP13 in H1299 cells, which had a higher endogenous TRIP13 expression than the other cell lines. The RT-qPCR results revealed that the knockdown efficiency of si1 and si2 was substantial, and that the expression of TRIP13 was knocked down (Fig. 3A). To further study the cellular biological functions, a CCK-8 assay was used to examine the proliferative abilities of the cells at 0, 24, 48 and 72 h. The knockdown of TRIP13 in H1299 cells significantly suppressed proliferation compared with the NC group (Fig. 3B) from 24 to 72 h. Moreover, the knockdown of TRIP13 inhibited the H1299 cell migratory and invasive abilities, as evaluated using the Transwell assay (Fig. 4A). The wound healing experiment effectively detected lateral cell migration. The migratory ability of the knockdown group was significantly decreased compared with the NC group, as determined by comparing the gaps in the wound healing assay (Fig. 4B).
Figure 3.
TRIP13 knockdown in H1299 cells. (A) Reverse transcription-quantitative PCR results showed the efficiency of TRIP13 mRNA expression knockdown. ***P<0.001. (B) Cell Counting Kit-8 assay measured the proliferation of H1299 cells at 450 nm at 0, 24, 48 and 72 h after transfected with si1 and si2 compared with NC group. *P<0.05, **P<0.01, ****P<0.001 vs. NC group. All data are presented as the mean ± SD. TRIP13, thyroid hormone receptor-interacting protein 13; NC, negative control; siRNA, small interfering RNA; OD, optical density.
Figure 4.
Knockdown of TRIP13 affects the migration and invasion of H1299 cells. (A) Transwell assay and the (B) scratch experiment was used to detect the migration and invasion in H1299 cells. Scale bar, 200 µm. All data are presented as the mean ± SD. ***P<0.001. TRIP13, thyroid hormone receptor-interacting protein 13; NC, negative control; siRNA, small interfering RNA.
Flow cytometry accurately detected cellular apoptosis and the cell cycle progression. The change in the apoptotic rate could be one of the mechanisms that affect the malignant progression of NSCLC. The results indicated that knockdown of TRIP13 increased the rate of apoptosis in H1299 cells compared with the NC at 48 h after transfection (Fig. 5A). In addition, the distribution of the cell cycle reflected the stage of DNA synthesis in cancer cells. In the TRIP13 knockdown group, there was a significant decrease in the number of cells in the G1 phase; on the other hand, TRIP13 knockdown induced H1299 cell cycle arrest in the S phase and caused no changes in the number of cells in the G2 phase (Fig. 5B).
Figure 5.
Knockdown of TRIP13 affects the apoptosis and cell cycle of H1299 cells after 48 h. (A) Flow cytometry analyzed the cell apoptotic rate after transfected with si1 and si2 compared with NC group. ****P<0.001 vs. NC group. (B) Flow cytometry analyzed cell cycle distribution after transfected with si1 and si2 compared with NC group. *P<0.05, **P<0.01 vs. NC group. All data are presented as the mean ± SD. TRIP13, thyroid hormone receptor-interacting protein 13; NC, negative control; siRNA, small interfering RNA.
TRIP13 overexpression inhibits apoptosis and promotes proliferation, invasion and migration of A549 cells
The aforementioned experimental results demonstrated that knockdown of TRIP13 significantly affected the function of NSCLC cells. In order to prove the role of TRIP13 in promoting cancer progression more effectively, the changes in abilities of cell apoptosis, proliferation, invasion and migration after overexpression of TRIP3 were detected. The transfection efficiency was determined via RT-qPCR, and it was found that TRIP13 was significantly overexpressed (Fig. 6A). The TRIP13 overexpression group had increased cell proliferation compared with the vector group (Fig. 6B). The Transwell assay was used for detecting the H1299 cell migratory and invasive abilities. The results demonstrated that these abilities were significantly increased in the TRIP13 overexpression group compared with the vector group (Fig. 7A). Moreover, the wound healing experiment identified that TRIP13 overexpression significantly promoted lateral cell migration (Fig. 7B).
Figure 6.
TRIP13 overexpression in A549 cells. (A) Reverse transcription-quantitative PCR results showed the efficiency of TRIP13 mRNA expression overexpression. **P<0.01. (B) Cell Counting Kit-8 assay measured the viability of A549 cells at 450 nm at 0, 24, 48 and 72 h after transfected with plasmid compared with vector group. *P<0.05, **P<0.01, ****P<0.001 vs. vector group. All data are presented as the mean ± SD. TRIP13, thyroid hormone receptor-interacting protein 13; OD, optical density.
Figure 7.
Overexpression of TRIP13 affects the migration and invasion of A549 cells. (A) Transwell assay and the (B) scratch experiment was used to detect the migration and invasion of A549 cells. Scale bar, 200 µm. All data are presented as the mean ± SD. *P<0.05, ***P<0.001, ****P<0.001. TRIP13, thyroid hormone receptor-interacting protein 13.
In contrast to TRIP13 knockdown, TRIP13 overexpression in A549 cells consistently reduced the apoptotic rate at 48 h after transfection (Fig. 8A). In addition, the TRIP13 overexpression group showed a significant decrease in the number of cells in the S phase. However, the number of cells in the G1 and G2 phase were markedly increased (Fig. 8B).
Figure 8.
Overexpression of TRIP13 affects the apoptosis and cell cycle of A549 cells after 48 h. (A) Flow cytometry analyzed the cell apoptosis rate after transfected with plasmid compared with vector group. ***P<0.001 vs. vector group. (B) Flow cytometry analyzed cell cycle distribution after transfected with plasmid compared with vector group. *P<0.05, ***P<0.001 vs. vector group. All data are presented as the mean ± SD. TRIP13, thyroid hormone receptor-interacting protein 13.
TRIP13 induces migration and invasion via EMT in NSCLC cells
A large number of studies have reported that EMT was an important biological process which epithelial-derived malignant tumor cells acquire the ability to migrate and invade (23–25). Western blotting was used to analyze the expression levels of several EMT-related factors, such as the epithelial marker E-cadherin and the mesenchymal markers vimentin and Snail, after transfection (Fig. 9A). The results demonstrated that TRIP13 knockdown could increase E-cadherin expression and decrease vimentin and Snail expression in H1299 cells. However, TRIP13 overexpression led to the opposite results. TRIP13 overexpression decreased the protein expression level of E-cadherin and enhanced the protein expression levels of vimentin and Snail (Fig. 9). The gray scale ratio of the three proteins to the internal reference was used to reflect the differences between each group (Fig. 9B and C).
Figure 9.
Knockdown and overexpression of TRIP13 affects EMT progression. (A) Western blotting results demonstrated that the knockdown or overexpression of TRIP13 influenced the expression levels of the EMT-related factors E-cadherin, Vimentin and Snail. Analysis of the expression levels of related proteins in (B) A549 and (C) H1299 cells. All data are presented as the mean ± SD. *P<0.05, **P<0.01, ***P<0.001, ****P<0.001. TRIP13, thyroid hormone receptor-interacting protein 13; NC, negative control; siRNA, small interfering RNA; Snail, snail family transcriptional repressor 1; EMT, epithelial-mesenchymal transformation.
Discussion
China has a high incidence of lung cancer, and due to its poor prognosis, effective diagnostic criteria and treatment options are important for patients. The present study considered TRIP13 to be a potential biomarker worthy of further investigation.Accumulating evidence has suggested that TRIP13 serves a carcinogenic role in numerous cancer types. For example, Zhang et al (26) reported that TRIP13 silencing could suppress the function of glioblastoma cells by regulating the expression of F-box and WD repeat domain containing 7 (FBXW7). c-Myc is a proto-oncogene that can affect the development of several tumor cells, and it has been shown that the TRIP13/FBXW7/c-Myc pathway may provide a reliable target for glioblastoma treatment. In hepatocellular carcinoma, TRIP13 was positively correlated with actinin α 4 and activated the Akt/mTOR pathway to accelerate the malignant progression of hepatocellular carcinoma (27). The mitotic checkpoint complex (MCC) coordinates with the SAC to maintain genomic stability and inhibits the expression of certain complexes, such as anaphase promoting complex (28). TRIP13 bound to p31comet to transform activate closed mitotic arrest deficient 2 like 1 (MAD2) into open MAD2, which was not active and could cause the decomposition of MCC. TRIP13 was further shown to be a AAA+ ATPase that binds to related proteins (29–31).As the use of chemotherapeutic drugs has increased in the treatment of tumors, cancer cells have become more resistant. A previous study reported that upregulation of TRIP13 could enhance the progression of bladder cancer cells. These authors revealed that the proliferation of tumor cells was significantly decreased after knockdown of TRIP13. Moreover, the apoptotic rate was also significantly reduced in these drug-resistant cells, as shown by flow cytometry (18). To further investigate the mechanism via which TRIP13 participates in DNA repair, the researchers detected the expression level of H2AX phosphorylated at serine 139 (γH2AX), which is a typical marker of DNA damage, and RAD50 double strand break repair protein (RAD50), which is a typical marker of DNA repair. The results showed that overexpression of TRIP13 could inhibit the expression of γH2AX and enhance the expression of RAD50 after treatment with cisplatin. Thus, these researchers suggested that TRIP13 may promote DNA repair in tumor cells (32). Therefore, TRIP13 could be considered a novel potential target for the diagnosis and treatment of tumors.In the present study, a high expression of TRIP13 in NSCLC was identified. TRIP13 was differentially expressed in NSCLC of different grades, based on the database results, and indicated a poor prognosis. Furthermore, knockdown of TRIP13 in H1299 cells increased apoptosis and inhibited proliferation, invasion and migration. Consistently, overexpression of TRIP13 inhibited apoptosis and promoted proliferation, invasion and migration of A549 cells.EMT is closely associated with the aggressive behavior of cancer cells (33). E-cadherin is responsible for cell adhesion and cell cytoskeleton organization. The loss of E-cadherin is a key step in the EMT process, leading to the transition of epithelial cells to aggressive mesenchymal cells. It has also been confirmed that E-cadherin promotes cell proliferation and polarization to accelerate the metastasis of tumors (34). Moreover, changes in vimentin expression are closely associated with the malignant progression of tumors (35). As an important component of the signaling pathway, Snail promotes the progression of NSCLC (36). Previous studies have reported that TRIP13 induced changes in the expression levels of several EMT markers to promote the progression of several cancer types (32,37,38).However, there are some limitations in the present study. It has been proved that TRIP13 could affect the metastasis of NSCLC via EMT pathways. However, the other pathways that TRIP13 could affect metastasis are yet to be further determined. The relationship between TRIP13 and prognosis of patients has not been evaluated. These were the major points for the future work.In conclusion, the present study demonstrated that upregulated TRIP13 could be a novel and potential biomarker for the diagnosis and treatment of NSCLC and served an important role in the malignant progression of NSCLC.
Authors: Connor S Clairmont; Prabha Sarangi; Karthikeyan Ponnienselvan; Lucas D Galli; Isabelle Csete; Lisa Moreau; Guillaume Adelmant; Dipanjan Chowdhury; Jarrod A Marto; Alan D D'Andrea Journal: Nat Cell Biol Date: 2020-01-08 Impact factor: 28.824
Authors: Shawn Yost; Bas de Wolf; Sandra Hanks; Anna Zachariou; Chiara Marcozzi; Matthew Clarke; Richarda de Voer; Banafsheh Etemad; Esther Uijttewaal; Emma Ramsay; Harriet Wylie; Anna Elliott; Susan Picton; Audrey Smith; Sarah Smithson; Sheila Seal; Elise Ruark; Gunnar Houge; Jonathan Pines; Geert J P L Kops; Nazneen Rahman Journal: Nat Genet Date: 2017-05-29 Impact factor: 38.330