
Citation: | Pei Tan, Mu Xu, Junjie Nie, Jian Qin, Xiangxiang Liu, Huiling Sun, Shukui Wang, Yuqin Pan. LncRNA SNHG16 promotes colorectal cancer proliferation by regulating ABCB1 expression through sponging miR-214-3p[J]. The Journal of Biomedical Research, 2022, 36(4): 231-241. DOI: 10.7555/JBR.36.20220049 |
Colorectal cancer (CRC) is an invasive primary intestinal malignant disease with the third highest incidence and mortality among all cancers in the world[1]. Due to the lack of early symptoms or effective screening methods, many CRC patients are diagnosed at advanced stages[2]. In addition, recurrence, metastasis and drug resistance are closely related to the poor prognosis of CRC patients[3]. Thus, a detailed understanding of the molecular mechanism of CRC occurrence and progression is urgently needed to improve early diagnosis and treatment techniques.
Long non-coding RNAs (lncRNAs) are RNA molecules greater than 200 nucleotides in length[4]. Accumulating studies have shown that lncRNAs regulate gene expression in a variety of ways, such as epigenetic regulation, and interaction with RNA and DNA[5–6]. Increasing evidence has shown that lncRNAs are closely related to the tumorigenesis and development of CRC, indicating that lncRNAs could be potential targets for CRC treatment[7–8].
Small nucleolar RNA host gene 16 (SNHG16) is located on 17q25.1 and was recently identified as a cancer-associated lncRNA. It has been demonstrated to be associated with numerous cancers, such as bladder cancer, osteosarcoma and hepatocellular carcinoma[9–12]. Li et al reported that SNHG16 expression was increased in CRC and was correlated with the poor prognosis of CRC patients[13]. However, the functions of SNHG16 in CRC remain to be elucidated.
ATP-binding cassette subfamily B member 1 (ABCB1) belongs to the superfamily of human adenosine triphosphate (ATP)-binding cassette (ABC) transporters that encode transporter and channel proteins that function as efflux pumps. Wang et al demonstrated that abnormal expression of ABCB1 promoted the proliferation and metastasis of hepatocellular carcinoma cells by regulating nuclear factor-κB expression[14]. Yan et al showed that ABCB1 plays a vital role in promoting angiogenesis and metastasis in xenograft tumor models with CRC liver metastasis[15].
In this study, we aimed to identify and characterize lncRNAs functionally impacting CRC. By analyzing datasets downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), we found that lncRNA SNHG16 was significantly overexpressed in CRC tissues and cell lines. SNHG16 silencing inhibited CRC cells growth in vivo and vitro, and we proved that SNHG16 acted as a ceRNA in regulating ABCB1 through competitively binding to miR-214-3p. Our findings suggested that SNHG16 could be a potential biomarker and treatment target in CRC.
Human CRC cell lines (HCT116, HT29, SW480, SW620, and Caco2), human normal colorectal epithelial cell line NCM460 and human renal epithelial cells (293T) were obtained from the American Type Culture Collection (USA). SW620 and SW480 cells were cultured in Leibovitz's L15 medium (L15) (Cat. No. GNM-41300, Genom, China) with 10% fetal bovine serum (FBS) (Gibco, Austria), and all other cells (HCT116, HT29, Caco2, and 293T) were grown in Dulbecco's modified Eagle's medium (DMEM) (Cat. No. GNM-12800, Genom) with 10% FBS. NCM460 cells were maintained in RPMI 1640 medium (Cat. No. GNM-31800, Genom) with 10% FBS. All cells were incubated in a humidified atmosphere at 37 °C with 5% CO2.
Twenty paired primary tumor tissues (T) and corresponding nontumor tissues (N) were collected from patients who underwent primary surgical resection at Nanjing First Hospital affiliated with Nanjing Medical University from January 2018 to June 2020. None of these patients received radiotherapy or chemotherapy before surgery. Corresponding nontumor tissues were collected >2 cm from the tumor margin by histopathologic review. After surgical resection, tissues were immediately snap frozen and stored in liquid nitrogen. This study protocol was approved by the Ethics Committee on Human Research of the Nanjing First Hospital affiliated with Nanjing Medical University. The ethical file number of the study was (2017)-155. Moreover, informed consent was obtained from all patients.
Small hairpin RNAs (shRNAs) targeting SNHG16, the SNHG16-expressing vectors, siRNAs, microRNA mimics and inhibitors were purchased from GeneChem (China). Cells were plated in six-well plates and cultured to 30% to 50% confluence in a complete medium before being infected with lentiviral vectors at a multiplicity of infection of 10 following the manufacturer's protocol. To select stable cell lines, cells were maintained in a medium with 2 μg/mL puromycin for 14 consecutive days. siNC and siRNAs were transfected using Lipofectamine 2000 (Invitrogen, USA) following the manufacturer's guidelines. All siRNA and shRNA sequences are listed in Supplementary Table 1 (available online).
Total RNA was extracted from cells and tissues by using TRIzol reagent (Invitrogen) in accordance with the manufacturer's protocol. LncRNA and mRNA detection was performed using a SYBR Green PCR Kit (Takara, Japan) with an ABI 7500 System (Applied Biosystems, USA). GAPDH was used as the reference gene. MicroRNA detection was performed using a Hairpin-iT microRNA and U6 snRNA Normalization RT-PCR Quantitation Kit (GenePharma, China). For SNHG16 copy number detection, total RNA was reverse transcribed into complementary DNA (cDNA) using a PrimeScript RT reagent kit (Takara), and quantitative reverse transcription PCR (qRT-PCR) was carried out with TB Green Premix Ex Taq Ⅱ (Tli RNaseH Plus) (TaKaRa) on an ABI 7500 real-time PCR system. Fold changes were analyzed using the 2–ΔΔCT method and normalized to the GAPDH or U6 gene. Primers sequences were as follows: SNHG16 forward, 5′-GATCCCATCTGGCATCGCT-3′ and reverse 5′-CCTCTAGTAGCCACGGTGTG-3′; U6 forward, 5′-CTCGCTTCGGCAGCACA-3′ and reverse 5′-AACGCTTCACGAATTTGCGT-3′; GAPDH forward, 5′-GGGAGCCAAAAGGGTCATCA-3′ and reverse 5′-TGATGGCATGGACTGTGGTC-3′; ABCB1 forward, 5′-CGAGGTCGGAATGGATCTTGA-3′ and reverse 5′-CCAAAGTTCCCACCACCATATAC-3′.
Cells were harvested with RIPA lysis buffer supplemented with PMSF, protein inhibitors and phosphatase inhibitors (KeyGEN, China). Then, the cell protein lysates were quantified, separated by SDS-polyacrylamide gel electrophoresis, and transferred to PVDF membranes (Millipore, USA). Membranes were blocked with 5% nonfat milk and then probed with specific antibodies: PARP (Cat. No. 13371-1-AP, Proteintech, USA; 1:2000 dilution), Bax (Cat. No. 50599-2-Ig, Proteintech; 1:5000 dilution), GAPDH (Cat. No. 60004-1-Ig, Proteintech; 1:2000 dilution), peroxidase conjugated goat anti-mouse IgG (Biosharp, China; 1:5000 dilution), peroxidase conjugated goat anti-rabbit IgG (Biosharp; 1:5000 dilution). Protein expression was detected using the bioimaging system ECL Plus (Millipore) after incubation with secondary antibodies.
After transfection, cells were initially plated in 6-well plates (500 cells per well) and incubated at 37 °C for 14 days. Next, the colonies were fixed in 4% paraformaldehyde following treatment with 5% crystal violet (Beyotime, China). The ability of the cells to proliferate was determined by the number of colonies stained. The number of colonies in five fields of view was counted under an Olympus FSX100 microscope (Olympus, Japan).
Apoptosis assays were performed using the Annexin V-FITC apoptosis detection kit (KeyGEN) following the instructions. Briefly, after transfections, cells were collected and washed with cold PBS at 4 °C twice, followed by treatment with Annexin V-FITC and propidium iodide (PI) in the dark for 15 minutes at room temperature. A FACSCalibur flow cytometer (BD Biosciences, USA) was used to detect apoptosis.
Fluorescence in situ hybridization (FISH) assays were performed using a Fluorescent In Situ Hybridization Kit (RiboBio, China) in accordance with the manufacturer's guidelines. Cy3-labeled SNHG16 probes were designed and synthesized by RiboBio. Briefly, cells were washed twice with PBS before being fixed in 4% formaldehyde for 15 minutes. Then, the fixed cells were permeabilized with 0.5% Triton X-100 at 4 °C for 30 minutes and prehybridized at 37 °C for 30 minutes in prehybridization solution. The probes and cells were then incubated in the hybridization solution at 37 °C overnight in the dark. The cells were scanned and imaged after being treated with DAPI working solution.
The nuclear and cytosolic fractions were separated using a PARIS Kit (Invitrogen) following the manufacturer's protocol.
For the subcutaneous tumor xenograft model, five- to six-week-old BALB/c nude male mice were kept in a specific pathogen-free environment. All animal experimental procedures were carried out in accordance with the protocol authorized by the Animal Care Committee of Nanjing Medical College. Stably transfected HCT-116 cells or negative control (5×106 cells/0.2 mL PBS) were inoculated into the same mice. Weekly tumor size was measured with calipers, and the tumor volume calculation formula was as follows: (L×W2)/2. After one month, the mice were euthanized, and the volumes and weights of tumor were recorded.
CRC tissues and normal tissues were collected and embedded in paraffin. The section thickness was 4 μmol/L. After being treated with fractionated ethanol and distilled water, sections were treated with methanol and 3% H2O2 for 30 minutes. Sections were washed three times with PBS and incubated with 10% goat serum for 30 minutes to prevent nonspecific antibody binding. After washing, sections were incubated with anti-ABCB1 (Cat. No. ab170904, Abcam, USA) antibodies at 4 °C overnight, followed by incubation with secondary antibodies. Following the manufacturer's protocol, the sections were stained with diaminobenzidine, sealed and visualized under an Olympus FSX100 microscope.
To verify the direct interactions between SNHG16 and miR-214-3p, the SNHG16 3′ untranslated region (3′ UTR) fragment containing a wild type (Wt) or mutant (Mut) binding site of miR-214-3p was amplified by PCR and inserted into the PmirGLO vector (GeneCreat, China). 293T cells were cotransfected with sh-miR-214-3p/sh-NC reagent (Invitrogen). After transfection for 48 hours, cells were collected. Results were measured by Dual-luciferase Reporter analysis system (Promega, USA) with normalization to Renilla luciferase.
The TCGA data used in our study were pre-analysis RNA-seq (level 3) data downloaded from the GDC database (41 normal tissues and 478 CRC tissues). We also used two gene array data of CRC downloaded from the GEO. The 'Tsukamoto's Colorectal' cohort (GSE21510), which has 44 samples (normal is 25 and tumor is 19), and the 'Okazaki's Colorectal' (GSE22598), which has 34 samples (normal is 17 and tumor is 17).
Representative results were obtained through at least three independent experiments. The data are expressed as mean±SD. Statistical analysis was performed by SPSS 19.0 software (IBM, USA), and images were acquired with GraphPad Prism 7 software (GraphPad Software, USA). The significance of the differences between the groups was compared using Student's paired or unpaired t-tests or one-way ANOVA or chi-square test, respectively. P<0.05 was considered statistically significant.
To investigate the differential expression of lncRNAs in CRC, we studied the transcriptome data of human CRC tissue and paracancerous tissue in TCGA. Many abnormally expressed lncRNAs were identified (Fig. 1A). Among them, SNHG16 was selected as the research target due to its relatively high abundance (P<0.001, Fig. 1B). Then, we analyzed microarray datasets and found that SNHG16 was also upregulated in two other independent CRC cohorts (P<0.001, Fig. 1B). Besides, we found that SNHG16 expression level was associated with the size of the tumor and lymph node metastasis in TCGA CRC cohort (Supplementary Table 2, available online). Moreover, we analyzed SNHG16 expression in CRC cell lines. SNHG16 expression was upregulated in all five CRC cell lines (SW620, HCT116, HT29, CACO2 and SW480) compared with the human colorectal epithelial cell line NCM460 (P<0.01, Fig. 1C).
To determine the potential function of SNHG16 in CRC, we first knocked down SNHG16 expression in SW620 and HCT116 cells and verified its efficiency by qRT-PCR (P<0.01, Fig. 2A). Colony formation assay results suggested that compared with the control group, SNHG16 knockdown significantly inhibited SW620 and HCT116 cell growth (P<0.01, Fig. 2B). We then performed flow cytometry assays to analyze the apoptosis rate. The proportion of apoptotic cells in the SNHG16 siRNA group was significantly increased compared with the NC group (P<0.01, Fig. 2C). Western blotting results revealed that the expression levels of the apoptosis-related proteins cleaved PARP and Bax were increased in SNHG16-silenced cells. (P<0.05, Fig. 2D). In addition, transwell and wound healing assays revealed that the migration and invasion abilities of HCT116 cells were significantly reduced when SNHG16 expression was decreased (P<0.01, Supplementary Fig. 1A and B, available online).
To further confirm the tumor-promoting effect of SNHG16 in vivo, we established lentiviral-mediated stable in HCT116 cells. As shown in Fig. 3A, the shRNA could silence its expression and SNHG16 overexpression vectors could increase its expression (P<0.01). Then we established animal models by injecting the same amount of HCT116 cells into BALB/c nude mice subcutaneously. At the end of the experiment, the mice were sacrificed. As shown in Fig. 3B, intratumorally injection of sh-SNHG16 significantly reduced the size of the tumors (P<0.001). In addition, the tumor weight in the sh-SNHG16 group was significantly lower than that in the sh-NC group (P<0.01, Fig. 3C). The expression of SNHG16 was lower in tumors formed by HCT116 cells transfected with sh-SNHG16 vectors (P<0.001, Fig. 3D).
To identify downstream targets regulated by SNHG16, we carried out RNA sequencing analysis of three pairs of HCT116 cells stably transfected with sh-SNHG16 and sh-NC. We then selected ABCB1 for further study, because ABCB1 is a well-known tumor-promoting gene reported by many studies[16–17], and the difference of ABCB1 in sequencing results after SNHG16 knockdown was statistically significant (Fig. 4A). After silencing SNHG16 in CRC cells, the expression level of ABCB1 was markedly decreased, consistent with the RNA-sequencing results (P<0.01, Fig. 4B). IHC assays showed that ABCB1 protein levels in CRC tissues were higher than those in adjacent normal tissues (Fig. 4C).qRT-PCR results revealed that ABCB1 expression was upregulated in CRC cell lines (P<0.05, Fig. 4D).
To investigate the molecular mechanism by which SNHG16 promotes the malignant progression of CRC, we analyzed the subcellular localization of SNHG16 in HCT116 and SW620 cells. We observed that SNHG16 was mainly expressed in the cytoplasm by FISH and subcellular fractionation assays (Fig. 5A and B). Then we used the ENCORI tool[18] to predict microRNAs that potentially bind to the 3'UTR of SNHG16 and ABCB1. As shown in Fig. 5C, there were 11 microRNAs that could bind both SNHG16 and ABCB1, among which miR-214-3p (normal mean=26.69 reads per million mapped reads [RPM], tumor mean=7.29 RPM, P<0.001) was markedly reduced in CRC according to the TCGA data (Fig. 5D). We analyzed miR-214-3p expression in CRC cell lines by qRT-PCR, and the results were in accordance with the results of the TCGA data (P<0.01, Fig. 5E). In addition, we found that knockdown of SNHG16 could significantly increase miR-214-3p expression in HCT116 cells (P<0.05, Fig. 5F). After that, we conducted a dual-luciferase reporter assay to explore whether miR-214-3p could interact with SNHG16 directly. The dual-luciferase reporter assay indicated that co-transfection of the wild-type SNHG16 luciferase vector (Luc-SNHG16-wt) with the miR-214-3p mimics, but not the mutant SNHG16 vector (Luc-SNHG16-mt), significantly decreased the luciferase activity (P<0.001, Fig. 5G).
To further explore whether SNHG16 functions as an oncogene by regulating miR-214-3p/ABCB1, we performed qRT-PCR and the results showed that SNHG16 silencing led to a decrease in ABCB1 expression levels. In addition, co-transfection with miR-214-3p inhibitor rescued the decrease in ABCB1 expression levels caused by SNHG16 silencing (P<0.01, Fig. 6A). Then we performed rescue assays, the efficiencies of mimics and inhibitors of the miR-214-3p are shown in Fig.6B (P<0.001). The results demonstrated that miR-214-3p upregulation could reverse SNHG16 overexpression-induced promotion of proliferation of CRC cells (P<0.01, Fig. 6C). Moreover, we designed one small interfering RNAs (siRNAs) targeting ABCB1 (P<0.001, Supplementary Fig. 2, available online) and the colony formation assay results showed that silencing ABCB1 abolished the increase in cell growth rates induced by SNHG16 overexpression (P<0.05, Fig. 6D).
LncRNAs are a heterogeneous group of RNA transcripts with a length of more than 200 nucleotides that are generally considered to have no protein-coding function. However, accumulating evidence indicates that the dysregulated expression of lncRNAs participates in the tumorigenesis and development of CRC[19–21]. For example, Sun et al showed that lncRNA TUG1 increased the resistance of CRC stem cells to oxaliplatin[21]. Li et al found that lncRNA AFAP1-AS1 promotes cell growth by regulating miR-195-5p/WISP1 axis in CRC[22]. Wang et al reported that lncRNA UCA1 could be potential diagnostic biomarkers for CRC[23]. Hence, lncRNAs may be promising targets for developing effective diagnostic and therapeutic strategies for CRC. In this study, we identified aberrantly expressed lncRNAs in CRC by analyzing TCGA sequencing data and explored the functions of SNHG16 in CRC. We demonstrated that SNHG16 expression was upregulated in CRC tissues and cell lines. Functional studies suggested that knockdown of SNHG16 inhibited cell proliferation but induced cell apoptosis in CRC. In addition, in vivo experiments also indicated SNHG16 promoted tumor growth. Hence, we conclude that SNHG16 is a cell carcinogenesis regulator in CRC.
In recent years it is reported that genetic factors and exogenous influences, such as diet, drugs and bacterial toxins, as well as other biological and chemical factors, may increase the risk of CRC development[24]. Osswald et al showed that the risk of CRC development was significantly associated with genetic variations in ABCB1[25]. The carcinogenic effect of ABCB1 has also been demonstrated in animal models of breast cancer and liver cancer[26]. In this study, we revealed that SNHG16 could regulate ABCB1 expression by using RNA sequencing and co-expression analysis. ABCB1 was upregulated in CRC tissues and cell lines.
Studies have shown that the subcellular localization of lncRNAs is closely related to their biological functions. LncRNAs located in the cytoplasm mainly act as ceRNA to competitively bind miRNAs, thus regulating the expression of their downstream target genes[27]. Here, we found that SNHG16, through functioning as a ceRNA in the cytoplasm, modulates ABCB1 expression by binding to miR-214-3p. Subsequently, rescue assays were conducted, and the results suggested that SNHG16 promoted cell proliferation in CRC by regulating miR-214-3p/ABCB1 axis.
In conclusion, our research revealed that SNHG16 was overexpressed in CRC tissues and cell lines. Besides, we found that SNHG16 expression level was associated with the size of the tumor and lymph node metastasis in TCGA CRC cohort. SNHG16 knockdown inhibited CRC proliferation and promoted apoptosis in vitro and vivo. Mechanistically, SNHG16 has an oncogenic role in regulating CRC cell proliferation via the SNHG16/miR-214-3p/ABCB1 axis, indicating novel potential biomarkers and therapeutic targets for CRC.
This work was supported by grants from the National Natural Science Foundation of China (Grant No. 81972806), Jiangsu Provincial Key Research and Development Plan (Grant No. BE2019614), Key Project of Science and Technology Development of Nanjing Medicine (ZKX21042), Elderly Health Research Project of Jiangsu Province (Grant No. LR2021017), Specialized Cohort Research Project of Nanjing Medical University (Grants No. NMUC2020035 and NMUC2021013A).
CLC number: R735.34, Document code: A
The authors reported no conflict of interests.
△These authors contributed equally to this work.
[1] |
Siegel RL, Miller KD, Fuchs HE, et al. Cancer statistics, 2022[J]. CA Cancer J Clin, 2022, 72(1): 7–33. doi: 10.3322/caac.21708
|
[2] |
Ladabaum U, Dominitz JA, Kahi C, et al. Strategies for colorectal cancer screening[J]. Gastroenterology, 2020, 158(2): 418–432. doi: 10.1053/j.gastro.2019.06.043
|
[3] |
El Bali M, Bakkach J, Mechita MB. Colorectal cancer: from genetic landscape to targeted therapy[J]. J Oncol, 2021, 2021: 9918116. doi: 10.1155/2021/9918116
|
[4] |
Peng W, Koirala P, Mo YY. LncRNA-mediated regulation of cell signaling in cancer[J]. Oncogene, 2017, 36(41): 5661–5667. doi: 10.1038/onc.2017.184
|
[5] |
Pandya G, Kirtonia A, Sethi G, et al. The implication of long non-coding RNAs in the diagnosis, pathogenesis and drug resistance of pancreatic ductal adenocarcinoma and their possible therapeutic potential[J]. Biochim Biophys Acta Rev Cancer, 2020, 1874(2): 188423. doi: 10.1016/j.bbcan.2020.188423
|
[6] |
Raziq K, Cai M, Dong K, et al. Competitive endogenous network of lncRNA, miRNA, and mRNA in the chemoresistance of gastrointestinal tract adenocarcinomas[J]. Biomed Pharmacother, 2020, 130: 110570. doi: 10.1016/j.biopha.2020.110570
|
[7] |
Zhao Y, Du T, Du L, et al. Long noncoding RNA LINC02418 regulates MELK expression by acting as a ceRNA and may serve as a diagnostic marker for colorectal cancer[J]. Cell Death Dis, 2019, 10(8): 568. doi: 10.1038/s41419-019-1804-x
|
[8] |
Du C, Wang H, Chen P, et al. STAT3-induced upregulation of lncRNA DUXAP8 functions as ceRNA for miR-577 to promote the migration and invasion in colorectal cancer through the regulation of RAB14[J]. Eur Rev Med Pharmacol Sci, 2019, 23(14): 6105–6118. doi: 10.26355/eurrev_201907_18424
|
[9] |
Xie X, Xu X, Sun C, et al. Long intergenic noncoding RNA SNHG16 interacts with miR-195 to promote proliferation, invasion and tumorigenesis in hepatocellular carcinoma[J]. Exp Cell Res, 2019, 383(1): 111501. doi: 10.1016/j.yexcr.2019.111501
|
[10] |
Su P, Mu S, Wang Z. Long noncoding RNA SNHG16 promotes osteosarcoma cells migration and invasion via sponging miRNA-340[J]. DNA Cell Biol, 2019, 38(2): 170–175. doi: 10.1089/dna.2018.4424
|
[11] |
Feng F, Chen A, Huang J, et al. Retracted: long noncoding RNA SNHG16 contributes to the development of bladder cancer via regulating miR-98/STAT3/Wnt/β-catenin pathway axis[J]. J Cell Biochem, 2018, 119(11): 9408–9418. doi: 10.1002/jcb.27257
|
[12] |
Cai C, Huo Q, Wang X, et al. SNHG16 contributes to breast cancer cell migration by competitively binding miR-98 with E2F5[J]. Biochem Biophys Res Commun, 2017, 485(2): 272–278. doi: 10.1016/j.bbrc.2017.02.094
|
[13] |
Li YL, Lu Y, Chen Y. Long non-coding RNA SNHG16 affects cell proliferation and predicts a poor prognosis in patients with colorectal cancer via sponging miR-200a-3p[J]. Biosci Rep, 2019, 39(5): BSR20182498. doi: 10.1042/BSR20182498
|
[14] |
Wang H, Jiang F, Liu W, et al. miR-595 suppresses cell proliferation and metastasis in hepatocellular carcinoma by inhibiting NF-κB signalling pathway[J]. Pathol Res Pract, 2020, 216(4): 152899. doi: 10.1016/j.prp.2020.152899
|
[15] |
Yan L, Zhang D, Mo S, et al. Anlotinib suppresses metastasis and multidrug resistance via dual blockade of MET/ABCB1 in colorectal carcinoma cells[J]. J Cancer, 2021, 12(7): 2092–2104. doi: 10.7150/jca.45618
|
[16] |
Robey RW, Pluchino KM, Hall MD, et al. Revisiting the role of ABC transporters in multidrug-resistant cancer[J]. Nat Rev Cancer, 2018, 18(7): 452–464. doi: 10.1038/s41568-018-0005-8
|
[17] |
Pasello M, Giudice AM, Scotlandi K. The ABC subfamily A transporters: multifaceted players with incipient potentialities in cancer[J]. Semin Cancer Biol, 2020, 60: 57–71. doi: 10.1016/j.semcancer.2019.10.004
|
[18] |
Li J, Liu S, Zhou H, et al. starBase v2.0: decoding miRNA-ceRNA, miRNA-ncRNA and protein-RNA interaction networks from large-scale CLIP-Seq data[J]. Nucleic Acids Res, 2014, 42(D1): D92–D97. doi: 10.1093/nar/gkt1248
|
[19] |
Ghafouri-Fard S, Hussen BM, Gharebaghi A, et al. LncRNA signature in colorectal cancer[J]. Pathol Res Pract, 2021, 222: 153432. doi: 10.1016/j.prp.2021.153432
|
[20] |
Poursheikhani A, Abbaszadegan MR, Kerachian MA. Mechanisms of long non-coding RNA function in colorectal cancer tumorigenesis[J]. Asia Pac J Clin Oncol, 2021, 17(1): 7–23. doi: 10.1111/ajco.13452
|
[21] |
Sun J, Zhou H, Bao X, et al. lncRNA TUG1 facilitates colorectal cancer stem cell characteristics and chemoresistance by enhancing GATA6 protein stability[J]. Stem Cells Int, 2021, 2021: 1075481. doi: 10.1155/2021/1075481
|
[22] |
Li Y, Zhu Z, Hou X, et al. LncRNA AFAP1-AS1 promotes the progression of colorectal cancer through miR-195-5p and WISP1[J]. J Oncol, 2021, 2021: 6242798. doi: 10.1155/2021/6242798
|
[23] |
Wang M, Zhang Z, Pan D, et al. Circulating lncRNA UCA1 and lncRNA PGM5-AS1 act as potential diagnostic biomarkers for early-stage colorectal cancer[J]. Biosci Rep, 2021, 41(7): BSR20211115. doi: 10.1042/BSR20211115
|
[24] |
Stoffel EM, Murphy CC. Epidemiology and mechanisms of the increasing incidence of colon and rectal cancers in young adults[J]. Gastroenterology, 2020, 158(2): 341–353. doi: 10.1053/j.gastro.2019.07.055
|
[25] |
Osswald E, Johne A, Laschinski G, et al. Association of MDR1 genotypes with susceptibility to colorectal cancer in older non-smokers[J]. Eur J Clin Pharmacol, 2007, 63(1): 9–16. doi: 10.1007/s00228-006-0225-9
|
[26] |
Kankesan J, Vanama R, Yusuf A, et al. Effect of PSC 833, an inhibitor of P-glycoprotein on N-methyl-N-nitrosourea induced mammary carcinogenesis in rats[J]. Carcinogenesis, 2004, 25(3): 425–430. doi: 10.1093/carcin/bgh018
|
[27] |
Bridges MC, Daulagala AC, Kourtidis A. LNCcation: lncRNA localization and function[J]. J Cell Biol, 2021, 220(2): e202009045. doi: 10.1083/jcb.202009045
|
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[2] | Dandan Zheng, Xiya Zhang, Jia Xu, Shuwen Chen, Bin Wang, Xiaoqin Yuan. LncRNA LINC01503 promotes angiogenesis in colorectal cancer by regulating VEGFA expression via miR-342-3p and HSP60 binding[J]. The Journal of Biomedical Research. DOI: 10.7555/JBR.38.20240190 |
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[5] | Komal Raina, Sushil Kumar, Deepanshi Dhar, Rajesh Agarwal. Silibinin and colorectal cancer chemoprevention: a comprehensive review on mechanisms and efficacy[J]. The Journal of Biomedical Research, 2016, 30(6): 452-465. DOI: 10.7555/JBR.30.20150111 |
[6] | Monica M. Mahathre, Padmashree C. G. Rida, Ritu Aneja. The more the messier: centrosome amplification as a novel biomarker for personalized treatment of colorectal cancers[J]. The Journal of Biomedical Research, 2016, 30(6): 441-451. DOI: 10.7555/JBR.30.20150109 |
[7] | Tinghua Hu, Yu Yao, Shuo Yu, Hui Guo, Lili Han, Wenjuan Wang, Tao Tian, Yibin Hao, Zhiyan Liu, Kejun Nan, Shuhong Wang. Clinicopathologic significance of CXCR4 and Nrf2 in colorectal cancer[J]. The Journal of Biomedical Research, 2013, 27(4): 283-290. DOI: 10.7555/JBR.27.20130069 |
[8] | Yang Xu, Bingrong Zhou, Di Wu, Zhiqiang Yin, Dan Luo. Baicalin modulates microRNA expression in UVB irradiated mouse skin[J]. The Journal of Biomedical Research, 2012, 26(2): 125-134. DOI: 10.1016/S1674-8301(12)60022-0 |
[9] | Li Liu, Qi Chen, Rensheng Lai, Xiaobin Wu, Xiaoyu Wu, Fukun Liu, Guohua Xu, Yong Ji. Elevated expression of mature miR-21 and miR-155 in cancerous gastric tissues from Chinese patients with gastric cancer[J]. The Journal of Biomedical Research, 2010, 24(3): 187-197. |
[10] | Zhenyu He, Chuanbing Shi, Hao Wen, Fanglong Li, Baolin Wang, Jie Wang. The potential of carcinoembryonic antigen, p53, Ki-67 and glutathion Stransferase-π as clinico-histopathological markers for colorectal cancer[J]. The Journal of Biomedical Research, 2010, 24(1): 51-57. |
1. | Yang TF, Li XR, Kong MW. Molecular mechanisms underlying roles of long non-coding RNA small nucleolar RNA host gene 16 in digestive system cancers. World J Gastrointest Oncol, 2024, 16(11): 4300-4308. DOI:10.4251/wjgo.v16.i11.4300 |
2. | To KKW, Zhang H, Cho WC. Competing endogenous RNAs (ceRNAs) and drug resistance to cancer therapy. Cancer Drug Resist, 2024, 7: 37. DOI:10.20517/cdr.2024.66 |
3. | Arshi A, Mahmoudi E, Raeisi F, et al. Exploring potential roles of long non-coding RNAs in cancer immunotherapy: a comprehensive review. Front Immunol, 2024, 15: 1446937. DOI:10.3389/fimmu.2024.1446937 |
4. | Lin Y, Zhao W, Lv Z, et al. The functions and mechanisms of long non-coding RNA in colorectal cancer. Front Oncol, 2024, 14: 1419972. DOI:10.3389/fonc.2024.1419972 |
5. | Zhao L, Kan Y, Wang L, et al. Roles of long non‑coding RNA SNHG16 in human digestive system cancer (Review). Oncol Rep, 2024, 52(2): 106. DOI:10.3892/or.2024.8765 |