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Gut and Liver is an international journal of gastroenterology, focusing on the gastrointestinal tract, liver, biliary tree, pancreas, motility, and neurogastroenterology. Gut atnd Liver delivers up-to-date, authoritative papers on both clinical and research-based topics in gastroenterology. The Journal publishes original articles, case reports, brief communications, letters to the editor and invited review articles in the field of gastroenterology. The Journal is operated by internationally renowned editorial boards and designed to provide a global opportunity to promote academic developments in the field of gastroenterology and hepatology. +MORE
Yong Chan Lee |
Professor of Medicine Director, Gastrointestinal Research Laboratory Veterans Affairs Medical Center, Univ. California San Francisco San Francisco, USA |
Jong Pil Im | Seoul National University College of Medicine, Seoul, Korea |
Robert S. Bresalier | University of Texas M. D. Anderson Cancer Center, Houston, USA |
Steven H. Itzkowitz | Mount Sinai Medical Center, NY, USA |
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Rong Wu1 , Shiyu Tang2
, Qiuxiao Wang3
, Pengfei Kong4
, Fang Liu3
Correspondence to: Fang Liu
ORCID https://orcid.org/0000-0002-6595-7212
E-mail lf19588321@163.com
Rong Wu and Shiyu Tang contributed equally to this work as first authors.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Gut Liver 2023;17(2):267-279. https://doi.org/10.5009/gnl210542
Published online September 23, 2022, Published date March 15, 2023
Copyright © Gut and Liver.
Background/Aims: We aimed to investigate the role and working mechanism of Homo sapiens circular RNA_0003602 (hsa_circ_0003602) in colorectal cancer (CRC) development.
Methods: The expression of circ_0003602, miR-149-5p, and solute carrier family 38 member 1 (SLC38A1) was detected by quantitative real-time polymerase chain reaction. RNase R assays were conducted to determine the characteristics of circ_0003602. CCK-8 assays, flow cytometry analysis, transwell invasion assays, wound healing assays and tube formation assays were employed to evaluate cell viability, apoptosis, invasion, migration, and angiogenesis. All protein levels were examined by Western blot or immunohistochemistry assay. The glutamine metabolism was monitored by corresponding glutamine, α-ketoglutarate and glutamate assay kits. Dual-luciferase reporter assay was utilized to confirm the targeted combination between miR-149-5p and circ_0003602 or SLC38A1. A xenograft tumor model was established to analyze the role of circ_0003602 in CRC tumor growth in vivo.
Results: Circ_0003602 was upregulated in CRC tissues and cell lines. Circ_0003602 silencing suppressed CRC cell viability, migration, invasion, angiogenesis, and glutaminolysis; induced cell apoptosis in vitro; and blocked tumor growth in vivo. Moreover, circ_0003602 directly interacted with miR-149-5p to negatively regulate its expression, and circ_0003602 knockdown suppressed the malignant behaviors of CRC cells largely by upregulating miR-149-5p. MiR-149-5p directly bound to the 3’ untranslated region of SLC38A1 to induce its degradation, and miR-149-5p overexpression reduced the malignant potential of CRC cells largely by downregulating SLC38A1. Circ_0003602 positively regulated SLC38A1 expression by sponging miR-149-5p in CRC cells.
Conclusions: Circ_0003602 knockdown impedes CRC development by targeting the miR-149-5p/SLC38A1 axis, which provides a novel theoretical basis and new insights for CRC treatment.
Keywords: Colorectal neoplasms, Circular RNA SMARCC1, MIRN149 microRNA, SLC38A1, Glutamine
Colorectal cancer (CRC) is a prevalent aggressive neoplasm and an important reason of cancer-associated death globally.1,2 Despite considerable advances have been acquired in CRC systemic therapy, most metastatic CRC patients die of their disease.3,4 Hence, research on the mechanisms of CRC progression is essential for the pursuit of new therapeutic strategies.
Circular RNAs (circRNAs) are a cluster of non-coding RNAs with covalent circular enclosed loops.5,6 Plentiful studies have expounded that circRNAs with abnormal expression exert a regulatory effect via targeting microRNAs (miRNAs).7-9 For example, circ_001971 aggravated the vicious phenotypes of CRC via miR-29c-3p/VEGFA axis.10 Moreover, Chen
miRNAs are one category of small non-coding RNAs that serve as pivotal moderators in various malignancies by regulating their downstream targets.12,13 Also, miRNAs serve a significant part in the progression of CRC and may work as effective diagnostic and therapeutic biomarkers for CRC.14,15 Previous study had found the downregulation of miR-149-5p in CRC and it could inhibit CRC cell motility through targeting BGN.16 Besides, SLC38A1 was highly expressed in CRC and its silencing blocked CRC cell migration and proliferation.17 However, the relations among circ_0003602, miR-149-5p, and SLC38A1 are not identified as yet.
We aimed to assess the action of circ_0003602 in CRC. Moreover, the possible modulatory network of circ_0003602 in CRC was further probed. Hence, this study might offer novel curative target for CRC patients.
Clinical samples were harvested from CRC patients undergoing surgical resection at Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, including 23 CRC samples and matching healthy samples. None of the participating patients received any pre-operative therapies. The permission was obtained from the Ethics Committee of Affiliated Hospital of Chengdu University of Traditional Chinese Medicine (approval number: 20210318), and written informed consents were signed by each participant. The analyzed data sets generated during the present study are available from the corresponding author on reasonable request.
CRC cells SW620 (#CL-0225; Procell, Wuhan, China), LoVo (#CL-0144, Procell), SW480 (#CL-0223, Procell), HCT-116 (#CL-0096, Procell) and a normal cell line NCM460 (#BFN608006385; Bluefbio, Shanghai, China) were fostered in DMEM medium (Procell) plus 10% fetal bovine serum (Procell) and 1% antibiotics (Procell). All cells were maintained at 37℃ in a humid 5% CO2 atmosphere.
siRNA or shRNA against circ_0003602 was used for circ_0003602 knockdown and homologous contrasts si-NC or sh-NC. MiR-149-5p inhibitor and mimic (anti-miR-149-5p or miR-149-5p), as well as matched contrasts anti-miR-NC or miR-NC were utilized for the silencing and overexpression of miR-149-5p. Overexpression vector of circ_0003602 and SLC38A1 (circ_0003602 and SLC38A1) and corresponding contrasts pCD5-ciR or pcDNA were used for circ_0003602 or SLC38A1 overexpression. siRNA against SLC38A1 (si-SLC38A1) and corresponding reference si-NC were utilized for SLC38A1 silencing. Lipofectamine 3000 (Invitrogen, Carlsbad, CA, USA) was utilized to transduce all these designated plasmids or oligonucleotides into CRC cells.
Total RNA segregation was done utilizing TRIzol (Invitrogen). Subsequently, PrimeScript RT Reagent Kit (Takara, Dalian, China) for circ_0003602 and SLC38A1 or PrimeScript miRNA real-time polymerase chain reaction (RT-PCR) Kit (Takara) for miR-149-5p was employed to product cDNA, followed by conducting quantitative RT-PCR (qRT-PCR) analysis with the BeyoFast™ SYBR Green qPCR Mix (Beyotime, Shanghai, China). The sequences of primers were provided in Table 1. Abundances of circ_0003602, miR-149-5p and SLC38A1 were analyzed using 2-ΔΔCt strategy. GAPDH or U6 was regarded as inner contrast.
Table 1 List of Primers Sequences for qRT-PCR
Primers for qRT-PCR (5’-3’) | ||
---|---|---|
circ_0003602 | Forward | ACCTACGGTCTGGAGAGCAG |
Reverse | GTCAAGTTCCTCCGACAAGC | |
miR-149-5p | Forward | GGCTCTGGCTCCGTGTCTT |
Reverse | CAGTGCAGGGTCCGAGGTATT | |
SLC38A1 | Forward | CTTTGGAGCCACCTCTCTACAG |
Reverse | ACCAGGCTGAAAATGTCTCTTCC | |
GAPDH | Forward | GACAGTCAGCCGCATCTTCT |
Reverse | GCGCCCAATACGACCAAATC | |
U6 | Forward | CTCGCTTCGGCAGCACA |
Reverse | AACGCTTCACGAATTTGCGT |
qRT-PCR, quantitative real-time polymerase chain reaction.
RNase R test was done via digestion of total RNA (20 μg) with RNase R (3 U/μg; Geneseed, Guangzhou, China). Half an hour later, the abundances of linear SLC38A1 and circ_0003602 were estimated.
At 48 hours after transfection, cells were co-incubated with CCK-8 solution (Beyotime) at 37℃. After 4 hours of reaction, a microplate reader was employed to inspect the absorption at 450 nm.
CRC cells were harvested after 48 hours of transfection. To assess the apoptotic capacity of CRC cells, Annexin V-FITC Apoptosis Detection kit (Beyotime) was utilized following the operation manuals. Briefly, transduced CRC cells were suspended in phosphate-buffered saline and subsequently stained using Annexin V-FITC and propidium iodide for 15 minutes in darkness. The apoptotic proportion of CRC cells was monitored by a flow cytometer.
The transwell chamber (8 μm; Corning Costar, Corning, NY, USA) covered with Matrigel (Solarbio, Beijing, China) were employed for monitoring the invasive capacities of CRC cells. Briefly, transduced cells in non-serum medium were suspended and then seeded into the top surface of the chamber. While the bottom compartment was replenished with complete medium plus fetal bovine serum. Following 24 hours of culture, the cells invaded into the bottom compartment were subjected to the fixation of 4% paraformaldehyde (Beyotime). Following dying with crystal violet (0.1%, Solarbio), the invasive cells were counted using an inverted microscope (100×) from five randomly chosen regions.
In order to inspect the migratory capacity of CRC cells, wound healing assay was carried out. Transfected cells were kept in 24-well plates for 24 hours. Next, scratches were gently made on cell monolayers with sterilized pipette tips. Following removing the debris, the cells were cultivated for 24 hours. ImageJ software was used to calculate the widths of wounds (migrated distance) with 40× magnification after the images were obtained at 0 and 24 hours using an optical microscope.
To test angiogenic property of human umbilical vein endothelial cells, the culture supernatants of transfected CRC cells were gathered, and then co-incubated with human umbilical vein endothelial cells in a 96-well plate covered with Matrigel (Solarbio) for 6 hours. Finally, the generated tubular and branched structures were observed under an optical microscope (100×).
Protein extraction was implemented employing RIPA buffer (Solarbio). The protein was segregated using SDS-PAGE gel (10%, Beyotime) and subsequently received the transference to PVDF membrane (Beyotime). Following sealing with 5% slim milk, the membrane was reacted with primary antibodies against c-Myc (1:1000, ab32072; Abcam, Cambridge, UK), SLC38A1 (ab272910, 1:2000, Abcam), matrix metalloproteinase 9 (MMP9) (ab137867, 1:1000, Abcam) and β-actin (1:200, ab115777, Abcam). Visualizing of the protein signals was made using the BeyoECL Star Kit (Beyotime) after incubation with a secondary antibody (ab205718, 1:30000, Abcam).
The glutamine metabolism was assessed by checking the levels of glutamine consumption, α-ketoglutarate and glutamate production. The levels of glutamine, α-ketoglutarate production and glutamate production in the culture medium were measured with glutamine, α-ketoglutarate and glutamate assay kits (Abcam) following manufacturer’s instructions, respectively. Last, the supernatant from cells was analyzed at 565 nm for glutamine metabolism, at 450 nm for glutamine uptake or at 570 nm for α-ketoglutarate production using a microplate reader.
The possible miRNA targets of circ_0003602 were predicted by starBase 2.0 (http://starbase.sysu.edu.cn/starbase2), Circinteractome (https://circinteractome.irp.nia.nih.gov), and circBank (http://www.circbank.cn) databases, while starBase 2.0 was used to predict the possible mRNA targets of miR-149-5p.
The pmirGLO vector (Promega, Madison, WI, USA) was utilized to form wild-type (WT)-circ_0003602, WT-SLC38A1 3’ untranslated region (3’UTR), mutant (MUT)-circ_0003602, and MUT-SLC38A1 3’UTR reporters, respectively. Next, the above reporters and miR-NC or miR-149-5p were transduced into CRC cells. After 48 hours of co-transfection, the luciferase intensity was inspected by Dual-Lucy Assay Kit (Solarbio).
HCT-116 cells (3×106) in 200 μL of phosphate-buffered saline (Solarbio) stably transduced with sh-NC or sh-circ_0003602 were inoculated hypodermically into the right flanks of BALB/c nude mice (male, 4-week-old) (Vital River, Beijing, China) to establish the xenograft models
The paraffin-embedded sections of internal tissues from transplanted mice were separated into slices (4 µm), followed by antigen retrieval and the reaction with primary antibodies against c-Myc with a dilution at 5 µg/mL (ab32072, Abcam), MMP9 with a dilution at 1:1000 (ab137867, Abcam), and Ki67 with a dilution at 1:200 (ab16667, Abcam). Then, a secondary antibody with a dilution at 1:2000 (ab205718, Abcam) was then used, and the slices subsequently were stained with 3, 3’-diaminobenzidine solution (Beyotime). Simultaneously, counterstaining of nuclei was done with hematoxylin (Beyotime). Finally, the representational areas were photographed using a light microscope with appropriate magnification.
The experiments were conducted with at least three replicates. All data were displayed by mean±standard deviation and processed by GraphPad Prism 6 software. The differences were compared via Student t-test (for two groups) or one-way analysis of variance (for more than two groups). Differences were considered statistically significant at p<0.05.
To inquire the action of circ_0003602 in CRC development, circ_0003602 expression was examined. The qRT-PCR results suggested that circ_0003602 level was distinctly raised in CRC tissues (tumor, n=23) (Fig. 1A). Also, the patients with high circ_0003602 level had the lower overall survival (p=0.0466) (Fig. 1B). CRC patients were divided into I-II group (n=12) and III group (n=11) based on TNM stage. We found that circ_0003602 expression was positively correlated with the TNM stage of CRC patients (Fig. 1C). Furthermore, the abundance of circ_0003602 in CRC cells (SW620, LoVo, SW480, and HCT-116) was overtly elevated (Fig. 1D). RNase R digestion assay exhibited that linear GAPDH was dramatically reduced after RNase R treatment, whereas circ_0003602 level was not affected (Fig. 1E and F), indicating that circ_0003602 was a stable circRNA with a loop structure. All these findings manifested that dysregulation of circ_0003602 might be concerned with CRC progression.
Subsequently, loss-of-function experiments were conducted to illuminate the action of circ_0003602. Expectedly, circ_0003602 level was remarkably declined in CRC cells after si-circ_0003602 transfection (Fig. 2A), demonstrating the high transfection efficacy of si-circ_0003602. As presented by CCK-8 assay and flow cytometry, cell viability was obviously inhibited and cell apoptosis was notably promoted by the downregulation of circ_0003602 in CRC cells (Fig. 2B and C). Besides, the indicators related to glutamine metabolism were detected. The results showed that glutamine consumption and the production of glutamate and α-ketoglutarate were all evidently downregulated by circ_0003602 silencing in CRC cells (Fig. 2D-F).
In addition, interference of circ_0003602 curbed CRC cell invasion and migration, respectively (Supplementary Fig. 1A and B). Human umbilical vein endothelial cell tube formation assay exhibited that the number of tubules induced by circ_0003602-knockdown CRC cells was conspicuously lessened (Supplementary Fig. 1C). Moreover, the levels of proliferation-related protein c-Myc and motility-related protein MMP9 in CRC cells were noticeably declined after si-circ_0003602 introduction (Supplementary Fig. 1D and E). Taken together, these data illustrated that circ_0003602 downregulation impeded CRC cell the malignant behaviors.
On the contrary, circ_0003602 overexpression elevated CRC cell viability and promoted cell invasion, migration, angiogenesis, and glutamine metabolism (Supplementary Fig. 2), which further highlighted that circ_0003602 played an oncogenic role in CRC cells.
Xenograft mice models were established to clarify the action of circ_0003602 in CRC tumorigenesis
Next, the downstream miRNAs targeted by circ_0003602 were explored in CRC cells. The miRNAs that possessed the possible binding sites for circ_0003602 were predicted through Circinteractome, circBank and starBase 2.0 databases. From Venn diagram analysis of three overlapping circles, it was found that miR-942-5p and miR-149-5p were the shared miRNAs that had the potential complementary sequence for circ_0003602 (Fig. 4A). Inhibition of circ_0003602 led to the upregulation of miR-149-5p (Fig. 4B and C), so miR-149-5p was selected for subsequent study. The potential binding sites between circ_0003602 and miR-149-5p were exhibited in Fig. 4D. Meanwhile, dual-luciferase reporter assay attested that miR-149-5p overexpression overtly suppressed the luciferase intensity of WT-circ_0003602 reporter (Fig. 4E and F). Furthermore, an overt reduction in miR-149-5p expression was got in CRC tissues (Fig. 4G). Interestingly, the circ_0003602 level was negatively correlated with miR-149-5p level in CRC tissues (Fig. 4H). Consistent with the result in tissues, miR-149-5p was downregulated in CRC cells relative to that in normal NCM460 cells (Fig. 4I). In addition, the circ_0003602 overexpression vector was used for upregulation of circ_0003602 (Fig. 4J). Expectedly, circ_0003602 overexpression could obviously inhibit the expression of miR-149-5p in CRC cells (Fig. 4K). Furthermore, we found that circ_0003602 knockdown-induced upregulation of miR-149-5p could be restored by the addition of circ_0003602 plasmid in CRC cells (Supplementary Fig. 3). Collectively, above data manifested that circ_0003602 could modulate miR-149-5p expression.
Rescue experiments were performed to investigate whether circ_0003602 could regulate CRC cell progression by targeting miR-149-5p. Circ_0003602 interference dramatically raised miR-149-5p expression, whereas the introduction of anti-miR-149-5p partly reversed the effect (Fig. 5A). Functionally, circ_0003602 knockdown-mediated impacts on CRC cell viability (Fig. 5B), apoptosis (Fig. 5C), invasion (Fig. 5D), migration (Fig. 5E), and tube formation capacity (Fig. 5F) were impaired by miR-149-5p inhibition. Consistently, circ_0003602 knockdown reduced c-Myc and MMP9 protein levels in CRC cells, which were largely overturned by silencing miR-149-5p (Fig. 5G and H). Additionally, circ_0003602 downregulation-induced suppression on glutamine metabolism (Fig. 5I-5K) were effectively weakened by anti-miR-149-5p introduction. To sum up, circ_0003602 adsorbed miR-149-5p to regulate CRC cell malignant phenotypes.
SLC38A1 was found to have complementary sequence with miR-149-5p using online tool starBase 2.0 (Fig. 6A). Subsequently, transient transfection of WT-SLC38A1 3’UTR in CRC cells in the presence of miR-149-5p visibly inhibited the luciferase activity, whereas this effect was dramatically abrogated in MUT-SLC38A1 3’UTR group (Fig. 6B and C). Likewise, SLC38A1 mRNA expression levels were overtly higher in CRC tissues (Fig. 6D), and it was inversely correlated with miR-149-5p level in CRC tissues (Fig. 6E). Also, SLC38A1 protein levels were higher in CRC tissues than that in adjacent normal tissues (Fig. 6F). Also, SLC38A1 mRNA expression in CRC tissues was positively correlated with TNM stage (Fig. 6G), implying the critical role of SLC38A1 in CRC progression. Consistently, SLC38A1 protein levels were higher in two CRC cell lines than that in the NCM460 cell line (Fig. 6H). In addition, miR-149-5p or anti-miR-149-5p was used for overexpression or silencing of miR-149-5p (Fig. 6I). Moreover, miR-149-5p upregulation resulted in a decrease in the SLC38A1 protein level, but miR-149-5p inhibition had a reverse function (Fig. 6J). Therefore, miR-149-5p regulated SLC38A1 expression via sponging SLC38A1 in CRC cells.
Subsequently, the function of SLC38A1 in CRC cell development was surveyed. As depicted in Fig. 7A, the obvious reduction of SLC38A1 expression in CRC cells after si-SLC38A1 transfection was observed, indicating the successful knockdown of SLC38A1. SLC38A1 knockdown restrained CRC cell viability, invasion, migration, angiogenesis, and glutamine metabolism and induced CRC cell apoptosis (Fig. 7B-K), indicating that SLC38A1 absence reduced the malignant potential of CRC cells.
Considering the direct target relationship between miR-149-5p and SLC38A1, we conducted rescue experiments to analyze their functional relationship. miR-149-5p overexpression reduced SLC38A1 protein levels, which were largely recovered by the addition of SLC38A1 (Fig. 8A). Forced miR-149-5p expression suppressed CRC cell viability and promoted CRC cell apoptosis, and these effects could be largely alleviated by SLC38A1 overexpression (Fig. 8B and C). Upregulated miR-149-5p restrained CRC cell invasion, migration, and angiogenesis abilities, but these impacts were largely counteracted after SLC38A1 overexpression (Fig. 8D-F). Increased miR-149-5p expression reduced c-Myc and MMP9 protein levels, while SLC38A1 upregulation largely rescued the changed protein levels (Fig. 8G and H). miR-149-5p overexpression-induced inhibitory effect on the glutamine metabolism of CRC cells was largely overturned by SLC38A1 overexpression (Fig. 8I-K). These results showed that miR-149-5p targeted SLC38A1 to curb CRC cell malignant behaviors. Furthermore, circ_0003602 silencing reduced SLC38A1 protein levels, whereas repressed miR-149-5p expression impaired this impact (Fig. 8L), suggesting that circ_0003602 interacted with miR-149-5p to mediate SLC38A1 expression.
Presently, emerging studies have exposed that circRNAs serve significant roles in the biologic courses of diversiform malignancies via modulating multiple pathways,18,19 including CRC.20 Here, we confirmed the enhanced level of circ_0003602 in CRC and circ_0003602 silencing restrained CRC advancement by modulating the miR-149-5p/SLC38A1 axis.
An increasing body of proofs have attested that dysregulated circRNAs are connected with the advancement of CRC.21 For instance, circASS1 overexpression inhibited the CRC cell malignant phenotypes through regulating the miR-1269a/VASH1 pathway.22 And circ_0007334 deficiency restrained CRC cell growth, motility and angiogenesis via regulation of the miR-577/KLF12 axis.23 However, the study about the function of circ_0003602 in CRC etiology is still restricted and requires further investigation. Previous research has reported that circ_0003602 was upregulated in acute myeloid leukemia.24 Similarly, circ_0003602 abundance was raised in CRC, and it could regulate CRC cell advancement via sponging miR-140-3p.17 Here, we expounded that circ_0003602 had been elevated in CRC. Furthermore, we unmasked that circ_0003602 knockdown repressed CRC cell viability, migration, invasion, angiogenesis and glutamine metabolism but accelerated CRC cell apoptosis. Moreover, circ_0003602 downregulation also lessened tumor growth
CircRNAs have been proved to modulate targeted gene expression by serving as the sponges of miRNAs.25 Therefore, the potential downstream miRNAs of circ_0003602 were probed. Through Venn diagram analysis of Circinteractome, circBank and starBase 2.0, miR-942-5p and miR-149-5p were verified as the common miRNA candidates that had the potential complementary sites with circ_0003602. Therein, miR-149-5p was chosen for further research for the higher level of miR-149-5p in CRC cells after circ_0003602 deficiency. As reported, miR-149-5p exerted a pivotal anti-cancer factor in diverse malignancy, such as cervical cancer,26 gastric cancer27 and papillary thyroid cancer.28 Likewise, miR-149-5p expression was lower in CRC, and forced miR-149-5p expression played a suppressive role in CRC progression.29 In keeping with this study, we confirmed that miR-149-5p abundance was decreased in CRC tissues and cells. Also, introduction of miR-149-5p had repressive impacts on CRC cell vicious evolution. Besides, circ_0003602 downregulation-mediated repression of CRC cell development was effectively overturned by miR-149-5p silencing. These findings highlighted that circ_0003602 interacted with miR-149-5p to mediated CRC progression.
Next, we further probed into the latent mechanism of circ_0003602. Our results identified miR-149-5p as a molecular decoy for SLC38A1. SLC38A1 has been testified to have elevated expression and play an important part in multifarious malignancies.30,31 Also, Yu
In conclusion, circ_0003602 was elevated in CRC, and it could facilitate the viability, migration, invasion, angiogenesis, and glutamine metabolism and hamper the apoptosis of CRC cells via administering the miR-149-5p/SLC38A1 axis. This novel regulatory axis might supply a hopeful curative strategy for CRC remedy.
Supplementary materials can be accessed at https://doi.org/10.5009/gnl210542.
No potential conflict of interest relevant to this article was reported.
Study concept and design: S.T. Data acquisition: Q.W. Data analysis and interpretation: P.K. Drafting of the manuscript: F.L. Critical revision of the manuscript for important intellectual content: R.W., S.T. Statistical analysis: Q.W. Administrative, technical, or material support; study supervision: R.W., S.T. Approval of final manuscript: all authors.
Gut and Liver 2023; 17(2): 267-279
Published online March 15, 2023 https://doi.org/10.5009/gnl210542
Copyright © Gut and Liver.
Rong Wu1 , Shiyu Tang2
, Qiuxiao Wang3
, Pengfei Kong4
, Fang Liu3
1Clinical Medicine College, Chengdu University of Traditional Chinese Medicine, Chengdu, 2Department of Clinical Medicine and 3Department of Clinical Medicine of Combination of Chinese and Western Medicine, North Sichuan Medical College, and 4Division of Anorectal, Department of Integrated Traditional Chinese and Western Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
Correspondence to:Fang Liu
ORCID https://orcid.org/0000-0002-6595-7212
E-mail lf19588321@163.com
Rong Wu and Shiyu Tang contributed equally to this work as first authors.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Background/Aims: We aimed to investigate the role and working mechanism of Homo sapiens circular RNA_0003602 (hsa_circ_0003602) in colorectal cancer (CRC) development.
Methods: The expression of circ_0003602, miR-149-5p, and solute carrier family 38 member 1 (SLC38A1) was detected by quantitative real-time polymerase chain reaction. RNase R assays were conducted to determine the characteristics of circ_0003602. CCK-8 assays, flow cytometry analysis, transwell invasion assays, wound healing assays and tube formation assays were employed to evaluate cell viability, apoptosis, invasion, migration, and angiogenesis. All protein levels were examined by Western blot or immunohistochemistry assay. The glutamine metabolism was monitored by corresponding glutamine, α-ketoglutarate and glutamate assay kits. Dual-luciferase reporter assay was utilized to confirm the targeted combination between miR-149-5p and circ_0003602 or SLC38A1. A xenograft tumor model was established to analyze the role of circ_0003602 in CRC tumor growth in vivo.
Results: Circ_0003602 was upregulated in CRC tissues and cell lines. Circ_0003602 silencing suppressed CRC cell viability, migration, invasion, angiogenesis, and glutaminolysis; induced cell apoptosis in vitro; and blocked tumor growth in vivo. Moreover, circ_0003602 directly interacted with miR-149-5p to negatively regulate its expression, and circ_0003602 knockdown suppressed the malignant behaviors of CRC cells largely by upregulating miR-149-5p. MiR-149-5p directly bound to the 3’ untranslated region of SLC38A1 to induce its degradation, and miR-149-5p overexpression reduced the malignant potential of CRC cells largely by downregulating SLC38A1. Circ_0003602 positively regulated SLC38A1 expression by sponging miR-149-5p in CRC cells.
Conclusions: Circ_0003602 knockdown impedes CRC development by targeting the miR-149-5p/SLC38A1 axis, which provides a novel theoretical basis and new insights for CRC treatment.
Keywords: Colorectal neoplasms, Circular RNA SMARCC1, MIRN149 microRNA, SLC38A1, Glutamine
Colorectal cancer (CRC) is a prevalent aggressive neoplasm and an important reason of cancer-associated death globally.1,2 Despite considerable advances have been acquired in CRC systemic therapy, most metastatic CRC patients die of their disease.3,4 Hence, research on the mechanisms of CRC progression is essential for the pursuit of new therapeutic strategies.
Circular RNAs (circRNAs) are a cluster of non-coding RNAs with covalent circular enclosed loops.5,6 Plentiful studies have expounded that circRNAs with abnormal expression exert a regulatory effect via targeting microRNAs (miRNAs).7-9 For example, circ_001971 aggravated the vicious phenotypes of CRC via miR-29c-3p/VEGFA axis.10 Moreover, Chen
miRNAs are one category of small non-coding RNAs that serve as pivotal moderators in various malignancies by regulating their downstream targets.12,13 Also, miRNAs serve a significant part in the progression of CRC and may work as effective diagnostic and therapeutic biomarkers for CRC.14,15 Previous study had found the downregulation of miR-149-5p in CRC and it could inhibit CRC cell motility through targeting BGN.16 Besides, SLC38A1 was highly expressed in CRC and its silencing blocked CRC cell migration and proliferation.17 However, the relations among circ_0003602, miR-149-5p, and SLC38A1 are not identified as yet.
We aimed to assess the action of circ_0003602 in CRC. Moreover, the possible modulatory network of circ_0003602 in CRC was further probed. Hence, this study might offer novel curative target for CRC patients.
Clinical samples were harvested from CRC patients undergoing surgical resection at Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, including 23 CRC samples and matching healthy samples. None of the participating patients received any pre-operative therapies. The permission was obtained from the Ethics Committee of Affiliated Hospital of Chengdu University of Traditional Chinese Medicine (approval number: 20210318), and written informed consents were signed by each participant. The analyzed data sets generated during the present study are available from the corresponding author on reasonable request.
CRC cells SW620 (#CL-0225; Procell, Wuhan, China), LoVo (#CL-0144, Procell), SW480 (#CL-0223, Procell), HCT-116 (#CL-0096, Procell) and a normal cell line NCM460 (#BFN608006385; Bluefbio, Shanghai, China) were fostered in DMEM medium (Procell) plus 10% fetal bovine serum (Procell) and 1% antibiotics (Procell). All cells were maintained at 37℃ in a humid 5% CO2 atmosphere.
siRNA or shRNA against circ_0003602 was used for circ_0003602 knockdown and homologous contrasts si-NC or sh-NC. MiR-149-5p inhibitor and mimic (anti-miR-149-5p or miR-149-5p), as well as matched contrasts anti-miR-NC or miR-NC were utilized for the silencing and overexpression of miR-149-5p. Overexpression vector of circ_0003602 and SLC38A1 (circ_0003602 and SLC38A1) and corresponding contrasts pCD5-ciR or pcDNA were used for circ_0003602 or SLC38A1 overexpression. siRNA against SLC38A1 (si-SLC38A1) and corresponding reference si-NC were utilized for SLC38A1 silencing. Lipofectamine 3000 (Invitrogen, Carlsbad, CA, USA) was utilized to transduce all these designated plasmids or oligonucleotides into CRC cells.
Total RNA segregation was done utilizing TRIzol (Invitrogen). Subsequently, PrimeScript RT Reagent Kit (Takara, Dalian, China) for circ_0003602 and SLC38A1 or PrimeScript miRNA real-time polymerase chain reaction (RT-PCR) Kit (Takara) for miR-149-5p was employed to product cDNA, followed by conducting quantitative RT-PCR (qRT-PCR) analysis with the BeyoFast™ SYBR Green qPCR Mix (Beyotime, Shanghai, China). The sequences of primers were provided in Table 1. Abundances of circ_0003602, miR-149-5p and SLC38A1 were analyzed using 2-ΔΔCt strategy. GAPDH or U6 was regarded as inner contrast.
Table 1 . List of Primers Sequences for qRT-PCR.
Primers for qRT-PCR (5’-3’) | ||
---|---|---|
circ_0003602 | Forward | ACCTACGGTCTGGAGAGCAG |
Reverse | GTCAAGTTCCTCCGACAAGC | |
miR-149-5p | Forward | GGCTCTGGCTCCGTGTCTT |
Reverse | CAGTGCAGGGTCCGAGGTATT | |
SLC38A1 | Forward | CTTTGGAGCCACCTCTCTACAG |
Reverse | ACCAGGCTGAAAATGTCTCTTCC | |
GAPDH | Forward | GACAGTCAGCCGCATCTTCT |
Reverse | GCGCCCAATACGACCAAATC | |
U6 | Forward | CTCGCTTCGGCAGCACA |
Reverse | AACGCTTCACGAATTTGCGT |
qRT-PCR, quantitative real-time polymerase chain reaction..
RNase R test was done via digestion of total RNA (20 μg) with RNase R (3 U/μg; Geneseed, Guangzhou, China). Half an hour later, the abundances of linear SLC38A1 and circ_0003602 were estimated.
At 48 hours after transfection, cells were co-incubated with CCK-8 solution (Beyotime) at 37℃. After 4 hours of reaction, a microplate reader was employed to inspect the absorption at 450 nm.
CRC cells were harvested after 48 hours of transfection. To assess the apoptotic capacity of CRC cells, Annexin V-FITC Apoptosis Detection kit (Beyotime) was utilized following the operation manuals. Briefly, transduced CRC cells were suspended in phosphate-buffered saline and subsequently stained using Annexin V-FITC and propidium iodide for 15 minutes in darkness. The apoptotic proportion of CRC cells was monitored by a flow cytometer.
The transwell chamber (8 μm; Corning Costar, Corning, NY, USA) covered with Matrigel (Solarbio, Beijing, China) were employed for monitoring the invasive capacities of CRC cells. Briefly, transduced cells in non-serum medium were suspended and then seeded into the top surface of the chamber. While the bottom compartment was replenished with complete medium plus fetal bovine serum. Following 24 hours of culture, the cells invaded into the bottom compartment were subjected to the fixation of 4% paraformaldehyde (Beyotime). Following dying with crystal violet (0.1%, Solarbio), the invasive cells were counted using an inverted microscope (100×) from five randomly chosen regions.
In order to inspect the migratory capacity of CRC cells, wound healing assay was carried out. Transfected cells were kept in 24-well plates for 24 hours. Next, scratches were gently made on cell monolayers with sterilized pipette tips. Following removing the debris, the cells were cultivated for 24 hours. ImageJ software was used to calculate the widths of wounds (migrated distance) with 40× magnification after the images were obtained at 0 and 24 hours using an optical microscope.
To test angiogenic property of human umbilical vein endothelial cells, the culture supernatants of transfected CRC cells were gathered, and then co-incubated with human umbilical vein endothelial cells in a 96-well plate covered with Matrigel (Solarbio) for 6 hours. Finally, the generated tubular and branched structures were observed under an optical microscope (100×).
Protein extraction was implemented employing RIPA buffer (Solarbio). The protein was segregated using SDS-PAGE gel (10%, Beyotime) and subsequently received the transference to PVDF membrane (Beyotime). Following sealing with 5% slim milk, the membrane was reacted with primary antibodies against c-Myc (1:1000, ab32072; Abcam, Cambridge, UK), SLC38A1 (ab272910, 1:2000, Abcam), matrix metalloproteinase 9 (MMP9) (ab137867, 1:1000, Abcam) and β-actin (1:200, ab115777, Abcam). Visualizing of the protein signals was made using the BeyoECL Star Kit (Beyotime) after incubation with a secondary antibody (ab205718, 1:30000, Abcam).
The glutamine metabolism was assessed by checking the levels of glutamine consumption, α-ketoglutarate and glutamate production. The levels of glutamine, α-ketoglutarate production and glutamate production in the culture medium were measured with glutamine, α-ketoglutarate and glutamate assay kits (Abcam) following manufacturer’s instructions, respectively. Last, the supernatant from cells was analyzed at 565 nm for glutamine metabolism, at 450 nm for glutamine uptake or at 570 nm for α-ketoglutarate production using a microplate reader.
The possible miRNA targets of circ_0003602 were predicted by starBase 2.0 (http://starbase.sysu.edu.cn/starbase2), Circinteractome (https://circinteractome.irp.nia.nih.gov), and circBank (http://www.circbank.cn) databases, while starBase 2.0 was used to predict the possible mRNA targets of miR-149-5p.
The pmirGLO vector (Promega, Madison, WI, USA) was utilized to form wild-type (WT)-circ_0003602, WT-SLC38A1 3’ untranslated region (3’UTR), mutant (MUT)-circ_0003602, and MUT-SLC38A1 3’UTR reporters, respectively. Next, the above reporters and miR-NC or miR-149-5p were transduced into CRC cells. After 48 hours of co-transfection, the luciferase intensity was inspected by Dual-Lucy Assay Kit (Solarbio).
HCT-116 cells (3×106) in 200 μL of phosphate-buffered saline (Solarbio) stably transduced with sh-NC or sh-circ_0003602 were inoculated hypodermically into the right flanks of BALB/c nude mice (male, 4-week-old) (Vital River, Beijing, China) to establish the xenograft models
The paraffin-embedded sections of internal tissues from transplanted mice were separated into slices (4 µm), followed by antigen retrieval and the reaction with primary antibodies against c-Myc with a dilution at 5 µg/mL (ab32072, Abcam), MMP9 with a dilution at 1:1000 (ab137867, Abcam), and Ki67 with a dilution at 1:200 (ab16667, Abcam). Then, a secondary antibody with a dilution at 1:2000 (ab205718, Abcam) was then used, and the slices subsequently were stained with 3, 3’-diaminobenzidine solution (Beyotime). Simultaneously, counterstaining of nuclei was done with hematoxylin (Beyotime). Finally, the representational areas were photographed using a light microscope with appropriate magnification.
The experiments were conducted with at least three replicates. All data were displayed by mean±standard deviation and processed by GraphPad Prism 6 software. The differences were compared via Student t-test (for two groups) or one-way analysis of variance (for more than two groups). Differences were considered statistically significant at p<0.05.
To inquire the action of circ_0003602 in CRC development, circ_0003602 expression was examined. The qRT-PCR results suggested that circ_0003602 level was distinctly raised in CRC tissues (tumor, n=23) (Fig. 1A). Also, the patients with high circ_0003602 level had the lower overall survival (p=0.0466) (Fig. 1B). CRC patients were divided into I-II group (n=12) and III group (n=11) based on TNM stage. We found that circ_0003602 expression was positively correlated with the TNM stage of CRC patients (Fig. 1C). Furthermore, the abundance of circ_0003602 in CRC cells (SW620, LoVo, SW480, and HCT-116) was overtly elevated (Fig. 1D). RNase R digestion assay exhibited that linear GAPDH was dramatically reduced after RNase R treatment, whereas circ_0003602 level was not affected (Fig. 1E and F), indicating that circ_0003602 was a stable circRNA with a loop structure. All these findings manifested that dysregulation of circ_0003602 might be concerned with CRC progression.
Subsequently, loss-of-function experiments were conducted to illuminate the action of circ_0003602. Expectedly, circ_0003602 level was remarkably declined in CRC cells after si-circ_0003602 transfection (Fig. 2A), demonstrating the high transfection efficacy of si-circ_0003602. As presented by CCK-8 assay and flow cytometry, cell viability was obviously inhibited and cell apoptosis was notably promoted by the downregulation of circ_0003602 in CRC cells (Fig. 2B and C). Besides, the indicators related to glutamine metabolism were detected. The results showed that glutamine consumption and the production of glutamate and α-ketoglutarate were all evidently downregulated by circ_0003602 silencing in CRC cells (Fig. 2D-F).
In addition, interference of circ_0003602 curbed CRC cell invasion and migration, respectively (Supplementary Fig. 1A and B). Human umbilical vein endothelial cell tube formation assay exhibited that the number of tubules induced by circ_0003602-knockdown CRC cells was conspicuously lessened (Supplementary Fig. 1C). Moreover, the levels of proliferation-related protein c-Myc and motility-related protein MMP9 in CRC cells were noticeably declined after si-circ_0003602 introduction (Supplementary Fig. 1D and E). Taken together, these data illustrated that circ_0003602 downregulation impeded CRC cell the malignant behaviors.
On the contrary, circ_0003602 overexpression elevated CRC cell viability and promoted cell invasion, migration, angiogenesis, and glutamine metabolism (Supplementary Fig. 2), which further highlighted that circ_0003602 played an oncogenic role in CRC cells.
Xenograft mice models were established to clarify the action of circ_0003602 in CRC tumorigenesis
Next, the downstream miRNAs targeted by circ_0003602 were explored in CRC cells. The miRNAs that possessed the possible binding sites for circ_0003602 were predicted through Circinteractome, circBank and starBase 2.0 databases. From Venn diagram analysis of three overlapping circles, it was found that miR-942-5p and miR-149-5p were the shared miRNAs that had the potential complementary sequence for circ_0003602 (Fig. 4A). Inhibition of circ_0003602 led to the upregulation of miR-149-5p (Fig. 4B and C), so miR-149-5p was selected for subsequent study. The potential binding sites between circ_0003602 and miR-149-5p were exhibited in Fig. 4D. Meanwhile, dual-luciferase reporter assay attested that miR-149-5p overexpression overtly suppressed the luciferase intensity of WT-circ_0003602 reporter (Fig. 4E and F). Furthermore, an overt reduction in miR-149-5p expression was got in CRC tissues (Fig. 4G). Interestingly, the circ_0003602 level was negatively correlated with miR-149-5p level in CRC tissues (Fig. 4H). Consistent with the result in tissues, miR-149-5p was downregulated in CRC cells relative to that in normal NCM460 cells (Fig. 4I). In addition, the circ_0003602 overexpression vector was used for upregulation of circ_0003602 (Fig. 4J). Expectedly, circ_0003602 overexpression could obviously inhibit the expression of miR-149-5p in CRC cells (Fig. 4K). Furthermore, we found that circ_0003602 knockdown-induced upregulation of miR-149-5p could be restored by the addition of circ_0003602 plasmid in CRC cells (Supplementary Fig. 3). Collectively, above data manifested that circ_0003602 could modulate miR-149-5p expression.
Rescue experiments were performed to investigate whether circ_0003602 could regulate CRC cell progression by targeting miR-149-5p. Circ_0003602 interference dramatically raised miR-149-5p expression, whereas the introduction of anti-miR-149-5p partly reversed the effect (Fig. 5A). Functionally, circ_0003602 knockdown-mediated impacts on CRC cell viability (Fig. 5B), apoptosis (Fig. 5C), invasion (Fig. 5D), migration (Fig. 5E), and tube formation capacity (Fig. 5F) were impaired by miR-149-5p inhibition. Consistently, circ_0003602 knockdown reduced c-Myc and MMP9 protein levels in CRC cells, which were largely overturned by silencing miR-149-5p (Fig. 5G and H). Additionally, circ_0003602 downregulation-induced suppression on glutamine metabolism (Fig. 5I-5K) were effectively weakened by anti-miR-149-5p introduction. To sum up, circ_0003602 adsorbed miR-149-5p to regulate CRC cell malignant phenotypes.
SLC38A1 was found to have complementary sequence with miR-149-5p using online tool starBase 2.0 (Fig. 6A). Subsequently, transient transfection of WT-SLC38A1 3’UTR in CRC cells in the presence of miR-149-5p visibly inhibited the luciferase activity, whereas this effect was dramatically abrogated in MUT-SLC38A1 3’UTR group (Fig. 6B and C). Likewise, SLC38A1 mRNA expression levels were overtly higher in CRC tissues (Fig. 6D), and it was inversely correlated with miR-149-5p level in CRC tissues (Fig. 6E). Also, SLC38A1 protein levels were higher in CRC tissues than that in adjacent normal tissues (Fig. 6F). Also, SLC38A1 mRNA expression in CRC tissues was positively correlated with TNM stage (Fig. 6G), implying the critical role of SLC38A1 in CRC progression. Consistently, SLC38A1 protein levels were higher in two CRC cell lines than that in the NCM460 cell line (Fig. 6H). In addition, miR-149-5p or anti-miR-149-5p was used for overexpression or silencing of miR-149-5p (Fig. 6I). Moreover, miR-149-5p upregulation resulted in a decrease in the SLC38A1 protein level, but miR-149-5p inhibition had a reverse function (Fig. 6J). Therefore, miR-149-5p regulated SLC38A1 expression via sponging SLC38A1 in CRC cells.
Subsequently, the function of SLC38A1 in CRC cell development was surveyed. As depicted in Fig. 7A, the obvious reduction of SLC38A1 expression in CRC cells after si-SLC38A1 transfection was observed, indicating the successful knockdown of SLC38A1. SLC38A1 knockdown restrained CRC cell viability, invasion, migration, angiogenesis, and glutamine metabolism and induced CRC cell apoptosis (Fig. 7B-K), indicating that SLC38A1 absence reduced the malignant potential of CRC cells.
Considering the direct target relationship between miR-149-5p and SLC38A1, we conducted rescue experiments to analyze their functional relationship. miR-149-5p overexpression reduced SLC38A1 protein levels, which were largely recovered by the addition of SLC38A1 (Fig. 8A). Forced miR-149-5p expression suppressed CRC cell viability and promoted CRC cell apoptosis, and these effects could be largely alleviated by SLC38A1 overexpression (Fig. 8B and C). Upregulated miR-149-5p restrained CRC cell invasion, migration, and angiogenesis abilities, but these impacts were largely counteracted after SLC38A1 overexpression (Fig. 8D-F). Increased miR-149-5p expression reduced c-Myc and MMP9 protein levels, while SLC38A1 upregulation largely rescued the changed protein levels (Fig. 8G and H). miR-149-5p overexpression-induced inhibitory effect on the glutamine metabolism of CRC cells was largely overturned by SLC38A1 overexpression (Fig. 8I-K). These results showed that miR-149-5p targeted SLC38A1 to curb CRC cell malignant behaviors. Furthermore, circ_0003602 silencing reduced SLC38A1 protein levels, whereas repressed miR-149-5p expression impaired this impact (Fig. 8L), suggesting that circ_0003602 interacted with miR-149-5p to mediate SLC38A1 expression.
Presently, emerging studies have exposed that circRNAs serve significant roles in the biologic courses of diversiform malignancies via modulating multiple pathways,18,19 including CRC.20 Here, we confirmed the enhanced level of circ_0003602 in CRC and circ_0003602 silencing restrained CRC advancement by modulating the miR-149-5p/SLC38A1 axis.
An increasing body of proofs have attested that dysregulated circRNAs are connected with the advancement of CRC.21 For instance, circASS1 overexpression inhibited the CRC cell malignant phenotypes through regulating the miR-1269a/VASH1 pathway.22 And circ_0007334 deficiency restrained CRC cell growth, motility and angiogenesis via regulation of the miR-577/KLF12 axis.23 However, the study about the function of circ_0003602 in CRC etiology is still restricted and requires further investigation. Previous research has reported that circ_0003602 was upregulated in acute myeloid leukemia.24 Similarly, circ_0003602 abundance was raised in CRC, and it could regulate CRC cell advancement via sponging miR-140-3p.17 Here, we expounded that circ_0003602 had been elevated in CRC. Furthermore, we unmasked that circ_0003602 knockdown repressed CRC cell viability, migration, invasion, angiogenesis and glutamine metabolism but accelerated CRC cell apoptosis. Moreover, circ_0003602 downregulation also lessened tumor growth
CircRNAs have been proved to modulate targeted gene expression by serving as the sponges of miRNAs.25 Therefore, the potential downstream miRNAs of circ_0003602 were probed. Through Venn diagram analysis of Circinteractome, circBank and starBase 2.0, miR-942-5p and miR-149-5p were verified as the common miRNA candidates that had the potential complementary sites with circ_0003602. Therein, miR-149-5p was chosen for further research for the higher level of miR-149-5p in CRC cells after circ_0003602 deficiency. As reported, miR-149-5p exerted a pivotal anti-cancer factor in diverse malignancy, such as cervical cancer,26 gastric cancer27 and papillary thyroid cancer.28 Likewise, miR-149-5p expression was lower in CRC, and forced miR-149-5p expression played a suppressive role in CRC progression.29 In keeping with this study, we confirmed that miR-149-5p abundance was decreased in CRC tissues and cells. Also, introduction of miR-149-5p had repressive impacts on CRC cell vicious evolution. Besides, circ_0003602 downregulation-mediated repression of CRC cell development was effectively overturned by miR-149-5p silencing. These findings highlighted that circ_0003602 interacted with miR-149-5p to mediated CRC progression.
Next, we further probed into the latent mechanism of circ_0003602. Our results identified miR-149-5p as a molecular decoy for SLC38A1. SLC38A1 has been testified to have elevated expression and play an important part in multifarious malignancies.30,31 Also, Yu
In conclusion, circ_0003602 was elevated in CRC, and it could facilitate the viability, migration, invasion, angiogenesis, and glutamine metabolism and hamper the apoptosis of CRC cells via administering the miR-149-5p/SLC38A1 axis. This novel regulatory axis might supply a hopeful curative strategy for CRC remedy.
Supplementary materials can be accessed at https://doi.org/10.5009/gnl210542.
No potential conflict of interest relevant to this article was reported.
Study concept and design: S.T. Data acquisition: Q.W. Data analysis and interpretation: P.K. Drafting of the manuscript: F.L. Critical revision of the manuscript for important intellectual content: R.W., S.T. Statistical analysis: Q.W. Administrative, technical, or material support; study supervision: R.W., S.T. Approval of final manuscript: all authors.
Table 1 List of Primers Sequences for qRT-PCR
Primers for qRT-PCR (5’-3’) | ||
---|---|---|
circ_0003602 | Forward | ACCTACGGTCTGGAGAGCAG |
Reverse | GTCAAGTTCCTCCGACAAGC | |
miR-149-5p | Forward | GGCTCTGGCTCCGTGTCTT |
Reverse | CAGTGCAGGGTCCGAGGTATT | |
SLC38A1 | Forward | CTTTGGAGCCACCTCTCTACAG |
Reverse | ACCAGGCTGAAAATGTCTCTTCC | |
GAPDH | Forward | GACAGTCAGCCGCATCTTCT |
Reverse | GCGCCCAATACGACCAAATC | |
U6 | Forward | CTCGCTTCGGCAGCACA |
Reverse | AACGCTTCACGAATTTGCGT |
qRT-PCR, quantitative real-time polymerase chain reaction.