Literature DB >> 30405788

Upregulation of circRNA_0000285 serves as a prognostic biomarker for nasopharyngeal carcinoma and is involved in radiosensitivity.

Mingxia Shuai1, Jangwei Hong1, Donghai Huang1, Xin Zhang1, Yongquan Tian1.   

Abstract

Despite significant medical advancement, nasopharyngeal carcinoma (NPC) remains one of the most difficult types of cancer to detect and treat. Circular RNA (circRNA) signatures may be used as prognostic and predictive factors for cancer. Previous studies indicated that the biological role of circular homeodomain interacting protein kinase 3 (HIPK3) has cancer type-specificity. The HIPK3 gene locus formats three circRNA isoforms: circRNA_100783, circRNA_0000285 and circRNA_100782. However, their roles in NPC remain unknown. In the present study, whether these circRNAs could be used as a biomarker for NPC diagnosis and predicting treatment response was investigated. Reverse transcription-quantitative polymerase chain reaction was performed to measure the levels of circRNA_100783, circRNA_0000285 and circRNA_100782 in NPC and adjacent tissues. In addition, the circRNA_0000285 levels were further confirmed in serum samples from patients with NPC and healthy controls. The results demonstrated that circRNA_0000285, but not circRNA_100782 and circRNA_100783, was significantly increased in NPC tissues and serum samples from patients with NPC, compared with adjacent tissues and serum samples from healthy controls, respectively. Furthermore, circRNA_0000285 expression was increased in patients with radioresistant NPC, compared with patients with radiosensitive NPC. Further analysis demonstrated that circRNA_0000285 was significantly associated with tumor size (P<0.001), differentiation (P=0.022), lymph node metastasis (P=0.035), distant metastasis (P=0.022) and Tumor-Node-Metastasis stage (P<0.001). Additionally, univariate and multivariate analyses indicated that circRNA_0000285 may be an independent prognostic factor for the outcome of patients with NPC. The present data indicated that circRNA_0000285 may be a novel biomarker for NPC and is involved in NPC radiosensitivity.

Entities:  

Keywords:  biomarker; circRNA_0000285; circular RNA; circular homeodomain interacting protein kinase 3; nasopharyngeal carcinoma; radiosensitivity

Year:  2018        PMID: 30405788      PMCID: PMC6202549          DOI: 10.3892/ol.2018.9471

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


Introduction

Nasopharyngeal carcinoma (NPC), an epithelial malignancy, arises from the superior aspect of the pharyngeal mucosal space (1). NPC is primarily prevalent in Asian, with 60,000 new NPC cases being reported in 2015 in China, and is associated with a combination of a number of factors, including viral, environmental, and hereditary factors (2). Despite significant medical advancement, NPC remains one of the most difficult cancer types to detect and treat (1). Until recently, the potential pathways and underlying mechanism of NPC were not well known (3). The capability to characterize cancer genomes is now providing insights into the genesis and molecular underpinnings of this disease (4). Increasing evidence indicates that aberrantly-expressed non-coding RNAs (ncRNAs), including microRNAs (miRs), long ncRNAs and a number of circular RNAs (circRNAs), are responsible for cancer initiation and progression, including for NPC (5). In addition to ncRNA, circRNAs also have been demonstrated to code proteins (6). The deregulation of circRNAs can cause them to act either as tumor suppressors or oncogenes, controlling cell proliferation, migration and metastasis (7). Furthermore, circRNA expression has been associated with radioresistant phenotypes in esophageal cancer cells (8). In addition, circRNA signatures may be used as prognostic and predictive factors for specific cancer types, including gastric cancer and glioma, potentially offering a clinical tool for assessing the disease state, as well as predicting the treatment response and clinical outcome (9). These results highlight the importance of circRNAs in mediating oncogenic processes (10); therefore, further examination and validation of the role of deregulated circRNAs in NPC will provide insight into the fundamental drivers of this disease. Circular homeodomain interacting protein kinase 3 (circHIPK3) is an abundant circRNA produced from the HIPK3 gene and formatting the circle through the long intronic complementary repeat elements (10). Silencing of circHIPK3 inhibits the proliferation of HuH-7, HCT-116 and HeLa cells (11); however, circHIPK3 expression is associated with progression (12), and functions as a tumor suppressor in bladder cancer by sponging miR-558 (13). Thus, the biological role of circHIPK3 would be specific in different types of cancer. Through circBase (www.circbase.org), the HIPK3 gene locus was determined to format the circRNA isoforms circRNA_100783, circRNA_0000285 and circRNA_100782 (Table I). Their roles in NPC remain unknown; therefore, in the present study, whether these circRNAs could be used as a biomarker for NPC diagnosis and predicting the treatment response was investigated.
Table I.

The information of circRNAs.

circRNASourceChromStrandtxStarttxEndcircRNA_typebest_transcriptGene symbol
hsa_circRNA_100783circBasechr11+3330795833350179ExonicNM_005734HIPK3
hsa_circRNA_000285circBasechr11+3336251333363232ExonicNM_005734HIPK3
hsa_circRNA_100782circBasechr11+3330795833309057ExonicNM_005734HIPK3

circRNA, circular RNA; HIPK3, homeodomain interacting protein kinase 3.

Materials and methods

NPC cancer tissue and serum sample collection

A total of 150 NPC tissues (69 males and 81 females; age range, 36–78 years) and 100 adjacent tissues (45 males and 55 females; age range, 32–75 years) were collected from patients who underwent biopsy or tumorectomy at the Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital (Changsha, China) between September 2009 and October 2017. These patients did not receive radiotherapy or chemotherapy prior to surgery. The serum samples, including 100 healthy patients (from physical examinations at Xiangya Hospital) and 150 patients with NPC were also collected from patients who underwent radiotherapy and/or cisplatin-based chemotherapy at the Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital between September 2010 and October 2017. Among these patients, 25 cases received only cisplatin-based chemotherapy. The medical records of patients with NPC with clinical Tumor-Node-Metastasis (TNM) staging (14) and survival information were collected. Patients with radioresistant NPC were defined as those with persistent disease >6 weeks, and those with recurrent disease >2 months after completion of radiotherapy. Patients with radiosensitive NPC were defined as those without local residual lesions at 6 weeks or no recurrence at 2 months after completion of radiotherapy. The present study was approved by the Ethic Committee of The Xiangya Hospital, Central South University (Changsha, China). All subjects provided written informed consent to participate in the present study.

Cell lines

The normal nasopharyngal epithelial cells NP69 and 4 NPC cell lines (HK-1, C666-1, 5-8F and SUNE-1) were obtained from Cellbank of Chinese Academy of Sciences (Shanghai, China). Cells were grown routinely in RPMI-1640 medium (Invitrogen; Thermo Fisher Scientific, Inc., Waltham, MA, USA) supplemented with 10% fetal bovine serum (Gibco; Thermo Fisher Scientific, Inc.) and cultured in a 37°C humidified atmosphere containing 5% CO2.

Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) analysis

TRIzol® reagent (Invitrogen; Thermo Fisher Scientific, Inc.) was used to extract total RNA from cells, tissue and serum samples, according to manufacturer's instruction. An ABScript II complementary DNA (cDNA) First-Strand Synthesis kit (cat no. RK20400; ABclonal Biotech Co., Ltd, Wuhan, China) was used to reverse transcribe cDNA from 500 ng RNA, according to the manufacturer's protocols. The sequence of circRNA results were acquired from the database circBase. The expression of circRNAs was measured by SsoFast™ EvaGreen® supermix (cat no. 1725201; Bio-Rad Laboratories, Inc., Hercules, CA, USA), according to manufacturer's protocols. Expression of β-actin was used as an endogenous control. qPCR was performed with the thermocycling conditions: 95°C for 3 min, and 39 cycles of 95°C for 10 sec and 60°C for 30 sec. The primers were as follows: circRNA_000285, forward 5′-TATGTTGGTGGATCCTGTTCGGCA-3′, and reverse, 5′-TGGTGGGTAGACCAAGACTTGTGA-3′; circRNA_100782, forward, 5′-TATGTTGGTGGATCCTGTTCGGCA-3′, and reverse, 5′-TGGTGGGTAGACCAAGACTTGTGA-3′; circRNA_100783, forward, 5′-GCTGCGGCCTGACTCTAAG-3′, and reverse, 5′-TGTGCTTGATGGTGTCCCT-3′; and β-actin, forward, 5′-TTGTTACAGGAAGTCCCTTGCC-3′, and reverse, 5′-ATGCTATCACCTCCCCTGTGTG-3′. The data were analyzed via the comparative threshold cycle (2−ΔCq, -ΔCq=Cqcirc-Cqβ-actin) method, as previously described (15).

Statistical analysis

All data from three independent experiments were expressed as the mean ± standard deviation and processed using SPSS 17.0 statistical software (SPSS, Inc., Chicago, IL, UA). The overall survival rate estimates over time were calculated using the Kaplan-Meier method with log-rank test. The clinical association between circRNA_000285 expression and clinicopathological variables in patients with NPC was evaluated by χ2 test. The difference among the groups was calculated by Student's t-test or one-way analysis of variance with Turkey post-hoc test, depending on the conditions. P<0.05 was considered to indicate a statistically significant difference.

Results

circRNA_000285 is upregulated in NPC tissues and cell lines

RT-qPCR was performed to measure the expression of three circRNAs derived from HIPK3, circRNA_000285, circRNA_100782 and circRNA_100783, in 150 NPC and 100 adjacent tissues. It was determined that circRNA_000285 was significantly increased in NPC tissues (P=0.0007), compared with the adjacent control (Fig. 1A), whereas the expression of circRNA_100782 and circRNA_100783 was not statistically significant between the NPC and adjacent tissues (Fig. 1B and C). Additionally, the expression of circRNA_000285 was also measured in four NPC cell lines, and it was observed that circRNA_000285 was significantly increased in these NPC cell lines (P=0.032 for HK-1; P=0.021 for C666-1; P=0.014 for 5-8F; and P=0.008 for SUNE-1), compared with the normal nasopharyngeal epithelial NP69 cells (Fig. 2).
Figure 1.

The circRNAs expression in NPC and adjacent tissues. Reverse transcription-quantitative polymerase chain reaction was performed to measure the expression of (A) circRNA_0000285, (B) circRNA_100783 and (C) circRNA_100782 in NPC (n=150) and adjacent tissues (n=100). circRNA, circular RNA; NPC, nasopharyngeal carcinoma.

Figure 2.

The expression of circRNA_0000285 in NPC cancer cells. Reverse transcription-quantitative polymerase chain reaction was performed to measure the expression of circRNA_0000285 in four NPC cancer cell lines and the normal nasopharyngal epithelial NP69 cell line. *P<0.05 vs. NP69. circRNA, circular RNA; NPC, nasopharyngeal carcinoma.

circRNA_000285 is upregulated in serum from patients with NPC

To investigate whether circRNA_000285 is a beneficial non-invasive biomarker for NPC, RT-qPCR was performed to detect the expression of circRNA_000285 in an independent cohort, including 150 serum samples of patients with NPC and 100 serum samples of healthy patients. circRNA_000285 was also significantly upregulated in the serum samples of patients with NPC, compared with the samples of healthy patients (P=0.0005, Fig. 3A). Notably, the circRNA_000285 level was significantly increased by 3-fold in patients with radiation resistant NPC (n=45), compared with patients with radiation sensitive NPC (n=80) (P=0003, Fig. 3B), indicating that circRNA_000285 may be a biomarker for NPC diagnosis and radiotherapy response.
Figure 3.

The expression of circRNA_0000285 in serum samples. (A) Reverse transcription-quantitative polymerase chain reaction was performed to measure the expression of circRNA_0000285 in serum samples of patients with NPC (n=150) and healthy patients (n=100). (B) The expression of circRNA_0000285 in serum samples of patients with radiosensitive NPC (n=80) and radioresistant NPC (n=45). (C) The Kaplan-Meier survival curve depicts the survival rate in patients with high (n=105) or low circRNA_000285 expression (n=45). circRNA, circular RNA; NPC, nasopharyngeal carcinoma.

circRNA_000285 is associated with pathoclinical features of patients with NPC

The association between circRNA_000285 and pathoclinical features of NPC cancer was also analyzed. The cases of NPC were divided into high circRNA_000285 expression, which was set as greater than the mean of circRNA_000285 levels, and low circRNA_000285 expression, which was set as lower than or equal to the mean of circRNA_000285 levels, groups. It was determined that circRNA_000285 expression was significantly associated with tumor size (P=0.0008), differentiation (P=0.022), lymph node metastasis (P=0.035), distant metastasis (P=0.022) and TNM stage (P=0.0007) (Table II). Additionally, the factors that could predict the prognosis of patients with NPC were investigated with univariate and multivariate analyses. Univariate analysis indicated that the serum circRNA_000285 level (P=0.01), as well as the tumor size (P=0.02), differentiation (P=0.03), lymph node metastasis (P=0.04), distant metastasis (P=0.02) and TNM stage (P=0.03) were significantly associated with the prognosis of patients with NPC (Table III). Multivariate analysis demonstrated that the serum circRNA_000285 level (P=0.01), tumor size (P=0.01), differentiation (P=0.03), lymph node metastasis (P=0.02), distant metastasis (P=0.01) and TNM stage (P=0.02) were independent factors for predicating the prognosis of patients with NPC (Table IV).
Table II.

Clinical association between serum circRNA_000285 levels and clinicopathological variables of patients with nasopharyngeal carcinoma.

Serum circRNA_000285

VariablesLow expression (n=45)High expression (n=105)χ2 test P-value
Age0.533
  <501223
  ≥503382
Sex0.99
  Male2148
  Female2457
Tumor size (longest diameter)<0.001
  <3cm2832
  ≥3cm1773
Differentiation[a]0.022
  High2026
  Moderate1534
  Low1045
Lymph node metastasis0.035
  N0-12641
  N2-41964
Distant metastasis0.022
  No3248
  Yes1347
TNM stage[b]<0.001
  I–II3545
  III–IV1060

circRNAs, circular RNA; TNM, Tumor-Node-Metastasis.

Differentiation staging relies on American Joint Committee on Cancer (14)

TNM staging relies on American Joint Committee on Cancer (14).

Table III.

Univariate analysis of prognostic factors of patients with nasopharyngeal carcinoma.

VariablesHazard ratioP-value
Age (≥50/<50)1.080.08
Sex (male/female)1.020.67
Tumor size (longest diameter; ≥3 cm/<3 cm)2.650.02
Differentiation[a] (low/high-moderate)2.840.03
Lymph node metastasis (N2-4/N0-1)2.120.04
Distant metastasis (yes/no)3.460.02
TNM stage[b] (III–IV/I–II)2.670.03
Serum circRNA_000285 levels (high/low)3.280.01

TNM, Tumor-Node-Metastasis; circRNAs, circular RNA.

Differentiation staging relies on American Joint Committee on Cancer (14)

TNM staging relies on American Joint Committee on Cancer (14).

Table IV.

Multivariate analysis of independent prognostic factors of patients with nasopharyngeal carcinoma.

Variables[a]Hazard ratioP-value
Tumor size2.060.01
Differentiation2.360.03
Lymph node metastasis2.590.02
Distant metastasis3.080.01
TNM stage2.840.02
Serum circRNA_000285 levels3.030.02

The cutoffs of these variables are identical to Table III. TNM, Tumor-Node-Metastasis; circRNAs, circular RNA.

The association between serum circRNA_000285 levels and survival rate in patients with NPC was further analyzed. The Kaplan-Meier survival curve demonstrated that the patients with a high circRNA_000285 expression had a significantly decreased overall survival rate compared with those with a low circRNA_000285 expression (P=0.007; Fig. 3C). Therefore, the results indicated that circRNA_000285 serves a critical role in the development of NPC.

Discussion

In the present study, it was determined that circRNA_0000285, but not circRNA_100782 and circRNA_100783, was significantly increased in NPC tissues and serum of patients with NPC, compared with adjacent tissues and serum of healthy patients, respectively. Additionally, the circRNA_0000285 expression was significantly increased in patients with radioresistant NPC, compared with patients with radiosensitive NPC. Further analysis demonstrated that circRNA_0000285 could be an independent prognostic factor for the outcome of patients with NPC. Emerging evidence revealed the function of circRNAs in cancer and that it may serve as a required novel biomarker and therapeutic target for cancer treatment (16,17). Luo et al (18) determined that aberrant circRNA_0000064 expression was associated with T stage, lymphatic metastasis and TNM stage in lung cancer. Additionally, it was previously indicated that circRNA_0074362 levels are significantly downregulated in gastric cancer tissues, and its levels were associated with lymphatic metastasis (9). Furthermore, it was demonstrated that circRNA_0001785 plasma has increased diagnostic accuracy, compared with carcinoembryonic antigen and cancer antigen 15-3, and its expression is associated with histological grade, TNM stage and distant metastasis (19). It was also indicated that circRNA_0001785 plasma level in postoperative patients was significantly reduced, compared with preoperative patients with breast cancer (19). A previous study also determined that the isoform of hsa_circRNA_0000285, circRNA_100782, serves a role in other cancer types, including pancreatic carcinoma (20). Chen et al (20) determined that circRNA_100782 was notably upregulated in pancreatic ductal adenocarcinoma tissue. Additionally, downregulation of circRNA_100782 inhibited BxPC3 cell proliferation and colony formation by downregulating the miR-124 target genes interleukin-6 receptor and signal transducer and activator of transcription 3 (STAT3) (20). These data indicated that the functions of circRNAs are cancer-specific. In its late stage, NPC is a refractory disease with a 2-year survival rate of <50% (Hong Kong, 1976–1985) (21). However, if the patients with NPC were diagnosed in early stages, their 5-year survival rate would be >80% due to the high radiosensitivity of NPC (Hong Kong, 1996–2000) (21). Radioresistance remains a notable obstacle for achieving successful treatment and causes local recurrence and distant metastases (22). Thus, emphasis has been placed on determining biomarkers and targets for radiotherapy. ncRNAs have been determined to be promoters or inhibitors of NPC radiotherapy (23). For example, upregulation of the lncRNA ANRIL attenuated the radiosensitivity in NPC by functioning as a miR-125a sponge (24). Additionally, miR-24 increases NPC radiosensitivity by directly regulating Jab1/CSN5 (25). In the present study, it was demonstrated that circRNA_0000285 expression is increased in patients with radioresistant NPC, compared with patients with radiosensitive NPC, and is increased in NPC cell lines, particularly in SUNE-1 cells that exhibit a high ability of metastasis, compared with normal epithelial cells. Thus, circRNA_0000285 may be a predictive biomarker of the radiotherapy response. miR-124 was reported as a tumor suppressor in NPC by targeting STAT3, calpain small subunit 1 and forkhead box Q1 (26–28). Additionally, miR-124 was a direct target of circRNA_100782 and circHIPK3 (10,19). Silencing circHIPK3 inhibited cell proliferation and migration by increasing miR-124 and downregulating aquaporin 3 expression in hepatocellular carcinoma (29). circHIPK3 effectively inhibited migration, invasion and angiogenesis of bladder cancer cells by sponging miR-558 to suppress the expression of heparanase (13). These data indicated a possible mechanism of circRNA_0000285 regulation of NPC cell proliferation, metastasis and radiosensitivity. To conclude, it was demonstrated that circRNA_0000285 was significantly upregulated in NPC tissues and serum. Additionally, the present study indicated that circRNA_0000285 may serve as a novel biomarker for NPC and is associated with NPC radiosensitivity.
  29 in total

1.  Downregulation of lncRNA ANRIL inhibits proliferation, induces apoptosis, and enhances radiosensitivity in nasopharyngeal carcinoma cells through regulating miR-125a.

Authors:  Xigang Hu; Huijuan Jiang; Xiaojun Jiang
Journal:  Cancer Biol Ther       Date:  2017-04-12       Impact factor: 4.742

Review 2.  Nasopharyngeal Cancer: Molecular Landscape.

Authors:  Jeff P Bruce; Kenneth Yip; Scott V Bratman; Emma Ito; Fei-Fei Liu
Journal:  J Clin Oncol       Date:  2015-09-08       Impact factor: 44.544

Review 3.  MicroRNAs serving as potential biomarkers and therapeutic targets in nasopharyngeal carcinoma: A critical review.

Authors:  Katherine Ting-Wei Lee; Juan-King Tan; Alfred King-Yin Lam; Sook-Yee Gan
Journal:  Crit Rev Oncol Hematol       Date:  2016-05-11       Impact factor: 6.312

Review 4.  MicroRNAs in nasopharyngeal carcinoma.

Authors:  Tara Spence; Jeff Bruce; Kenneth W Yip; Fei-Fei Liu
Journal:  Chin Clin Oncol       Date:  2016-04

Review 5.  Biomarkers for enhancing the radiosensitivity of nasopharyngeal carcinoma.

Authors:  Wei Chen; Guo-Hua Hu
Journal:  Cancer Biol Med       Date:  2015-03       Impact factor: 4.248

6.  Circular RNA profiling reveals an abundant circHIPK3 that regulates cell growth by sponging multiple miRNAs.

Authors:  Qiupeng Zheng; Chunyang Bao; Weijie Guo; Shuyi Li; Jie Chen; Bing Chen; Yanting Luo; Dongbin Lyu; Yan Li; Guohai Shi; Linhui Liang; Jianren Gu; Xianghuo He; Shenglin Huang
Journal:  Nat Commun       Date:  2016-04-06       Impact factor: 14.919

7.  miR-124 suppresses proliferation and invasion of nasopharyngeal carcinoma cells through the Wnt/β-catenin signaling pathway by targeting Capn4.

Authors:  Haili Hu; Guanghui Wang; Congying Li
Journal:  Onco Targets Ther       Date:  2017-05-23       Impact factor: 4.147

Review 8.  Circular RNAs: emerging cancer biomarkers and targets.

Authors:  Yu Zhang; Wei Liang; Peng Zhang; Jingyan Chen; Hui Qian; Xu Zhang; Wenrong Xu
Journal:  J Exp Clin Cancer Res       Date:  2017-11-02

9.  MiR-124 suppresses tumor growth and metastasis by targeting Foxq1 in nasopharyngeal carcinoma.

Authors:  Xiao Hong Peng; Hao Ran Huang; Juan Lu; Xiong Liu; Fei Peng Zhao; Bao Zhang; Shao Xiong Lin; Lu Wang; Huai Hong Chen; Xia Xu; Fan Wang; Xiang Ping Li
Journal:  Mol Cancer       Date:  2014-08-07       Impact factor: 27.401

Review 10.  Circular RNAs: A novel type of biomarker and genetic tools in cancer.

Authors:  Yi-Neng Han; Sheng-Qiang Xia; Yuan-Yuan Zhang; Jun-Hua Zheng; Wei Li
Journal:  Oncotarget       Date:  2017-06-02
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1.  Diagnostic and prognostic value of circRNAs expression in head and neck squamous cell carcinoma: A meta-analysis.

Authors:  Huajun Feng; Dingting Wang; Jinping Liu; Longfei Zou; Shengen Xu; Zhuoping Liang; Gang Qin
Journal:  J Clin Lab Anal       Date:  2022-05-20       Impact factor: 3.124

2.  Hsa_circ_0023984 Regulates Cell Proliferation, Migration, and Invasion in Esophageal Squamous Cancer via Regulating miR-1294/PI3K/Akt/c-Myc Pathway.

Authors:  Wenchang Liang; Cailing Wang; Junsheng Wang; Mingzhi Zhang
Journal:  Appl Biochem Biotechnol       Date:  2022-05-06       Impact factor: 3.094

3.  Circular RNA Hsa_circ_0066755 as an Oncogene via sponging miR-651 and as a Promising Diagnostic Biomarker for Nasopharyngeal Carcinoma.

Authors:  Jian Wang; Jinyu Kong; Zhong Nie; Diansen Chen; Jun Qiang; Wanqin Gao; Xiaojie Chen
Journal:  Int J Med Sci       Date:  2020-06-15       Impact factor: 3.738

4.  Elevation of circular RNA circ_0005230 facilitates cell growth and metastasis via sponging miR-1238 and miR-1299 in cholangiocarcinoma.

Authors:  Yi Xu; Yue Yao; Yueping Liu; Zhidong Wang; Zhanliang Hu; Zhilei Su; Chunlong Li; Hao Wang; Xingming Jiang; Pengcheng Kang; Dianjun Sun; Xiangyu Zhong; Yunfu Cui
Journal:  Aging (Albany NY)       Date:  2019-04-04       Impact factor: 5.682

Review 5.  Circular RNAs and their roles in head and neck cancers.

Authors:  Yang Guo; Jiechao Yang; Qiang Huang; Chiyao Hsueh; Juan Zheng; Chunping Wu; Hui Chen; Liang Zhou
Journal:  Mol Cancer       Date:  2019-03-21       Impact factor: 27.401

6.  circCPA4 acts as a prognostic factor and regulates the proliferation and metastasis of glioma.

Authors:  Hao Peng; Chaoying Qin; Chao Zhang; Jun Su; Qun Xiao; Yao Xiao; Kai Xiao; Qing Liu
Journal:  J Cell Mol Med       Date:  2019-08-19       Impact factor: 5.310

Review 7.  Noncoding RNAs in Extracellular Fluids as Cancer Biomarkers: The New Frontier of Liquid Biopsies.

Authors:  Barbara Pardini; Alexandru Anton Sabo; Giovanni Birolo; George Adrian Calin
Journal:  Cancers (Basel)       Date:  2019-08-14       Impact factor: 6.639

8.  Star Circular RNAs In Human Cancer: Progress And Perspectives.

Authors:  Ye Cheng; Hanzhi Sun; Hanjin Wang; Wei Jiang; Weiwei Tang; Chen Lu; Wenling Zhang; Ziyi Chen; Chengyu Lv
Journal:  Onco Targets Ther       Date:  2019-10-07       Impact factor: 4.147

9.  Cell Proliferation and Apoptosis-Related Genes Affect the Development of Human Nasopharyngeal Carcinoma Through PI3K/AKT Signaling Pathway.

Authors:  Wei Li; Huiping Ma; Minglei Liu
Journal:  Mol Biotechnol       Date:  2021-07-08       Impact factor: 2.695

10.  Circular RNA circHIPK3 promotes breast cancer progression via sponging MiR-326.

Authors:  Na Luo; Shiqin Liu; Xin Li; Yu Hu; Kejing Zhang
Journal:  Cell Cycle       Date:  2021-06-21       Impact factor: 5.173

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