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Research Article

LncRNA SLC12A9-AS1 Drives Malignant Progression in Colorectal Cancer by Regulating miR-139-3p

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DOI:

10.3791/72546

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August 21st, 2026

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In This Article

Summary

This study investigated the function and regulatory mechanism of SLC12A9-AS1 in colorectal cancer cells. SLC12A9-AS1 knockdown suppressed malignant cellular phenotypes partly through miR-139-3p regulation, providing new experimental evidence for understanding colorectal cancer pathogenesis.

Abstract

This study investigated the function of long noncoding RNA SLC12A9-AS1 in colorectal cancer (CRC) cells and its potential regulatory mechanism. Reverse transcription–quantitative polymerase chain reaction (RT-qPCR) was used to measure SLC12A9-AS1 and miR-139-3p expression in CRC cell lines. Cell viability was assessed using the Cell Counting Kit-8 (CCK-8) assay, whereas migration and invasion were evaluated using permeable cell culture insert assays. The interaction between SLC12A9-AS1 and miR-139-3p was examined using dual-luciferase reporter (DLR) and RNA immunoprecipitation (RIP) assays. SLC12A9-AS1 was significantly upregulated, whereas miR-139-3p was downregulated, in CRC cells. Silencing SLC12A9-AS1 markedly reduced cell viability, migration, invasion, and epithelial–mesenchymal transition (EMT). The DLR and RIP assays supported an interaction between SLC12A9-AS1 and miR-139-3p. In addition, inhibition of miR-139-3p reversed the suppressive effects of SLC12A9-AS1 knockdown on malignant cellular phenotypes. Collectively, these findings indicate that SLC12A9-AS1 is abnormally overexpressed in CRC cells and that its knockdown attenuates malignant phenotypes, at least in part through regulation of miR-139-3p. These results provide new in vitro experimental evidence for understanding the molecular mechanisms involved in CRC pathogenesis.

Introduction

Colorectal cancer (CRC) is a highly prevalent malignancy1,2. Approximately 90% of CRC cases are adenocarcinomas originating from glandular epithelial cells in the colon or rectum3. CRC contributes substantially to the global cancer burden, ranking among the leading causes of cancer-related death and accounting for 9.2% of all cancer deaths worldwide4,5. Although considerable progress has been made in CRC treatment, including advances in surgical techniques, chemotherapy regimens, and targeted therapies, patient prognosis remains poor6,7. Therefore, identifying new therapeutic targets remains an important research priority.

Long noncoding RNAs (lncRNAs) are regulatory molecules longer than 200 nucleotides8. Although they do not encode proteins, they are involved in the development and progression of several malignancies, including CRC9,10,11. For example, STEAP3-AS1 regulates histone lactylation through chromatin remodeling and contributes to CRC progression12. SLC12A9-AS1 is an lncRNA whose functions remain incompletely understood. Previous studies have reported its abnormal expression in CRC tissues13. In addition, SLC12A9-AS1 may be coexpressed with genes included in a CRC bacterial response-associated prognostic model and may be associated with overall survival in patients with CRC14. Although database analyses, including analyses of The Cancer Genome Atlas cohort, suggest that SLC12A9-AS1 may be associated with CRC, its biological function and mechanism of action in CRC have not been experimentally characterized.

Abnormal microRNA (miRNA) expression is also closely associated with tumorigenesis15. In CRC, miR-139-3p expression has been associated with clinical stage and distant metastasis16 and may serve as a diagnostic biomarker17. In CRC cells, miR-139-3p also exerts tumor-suppressive effects by regulating downstream functional genes18. Bioinformatic predictions indicate potential binding sites between SLC12A9-AS1 and miR-139-3p. Because lncRNAs can participate in tumor progression by acting as miRNA sponges19, SLC12A9-AS1 may regulate CRC-related phenotypes through interaction with miR-139-3p. However, no experimental studies have directly validated an interaction between SLC12A9-AS1 and miRNAs, including miR-139-3p. Thus, the regulatory relationship between SLC12A9-AS1 and miR-139-3p in CRC remains unclear.

Based on this background, the present study tested the hypothesis that SLC12A9-AS1 regulates malignant phenotypes in CRC cells through miR-139-3p. The study aimed to characterize the biological function of SLC12A9-AS1 in CRC cells and determine its regulatory relationship with miR-139-3p.

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Protocol

This study used established human cell lines and publicly available database-derived data. No human participants, identifiable human data, vertebrate animals, or primary human or animal tissues were involved; therefore, institutional review board or animal care and use committee approval was not required. The reagents and the equipment used are listed in the Table of Materials.

1. Database analysis
Expression data for SLC12A9-AS1 and miR-139-3p in colorectal cancer (CRC) and normal tissues were obtained from the ENCORI and UALCAN databases. The LncBook 2.0 database was used to predict potential binding sites between SLC12A9-AS1 and miR-139-3p.

2. Cell culture
The HCT116 (RRID: CVCL_0291), HT-29 (RRID: CVCL_A8EZ), SW620 (RRID: CVCL_0547), SW480 (RRID: CVCL_0546), LoVo (RRID: CVCL_0399), and NCM460 (RRID: CVCL_0460) cell lines were used in this study. All cell lines were authenticated by short tandem repeat analysis and routinely tested for mycoplasma contamination using a commercial mycoplasma detection kit. Only mycoplasma-free cells were used in the experiments. NCM460 cells were cultured in Dulbecco’s modified Eagle medium, whereas the other cell lines were maintained in RPMI-1640 medium. All media were supplemented with 10% fetal bovine serum.

3. Cell transfection
Short hairpin RNAs, including sh-NC, sh-SLC12A9-AS1#1, and sh-SLC12A9-AS1#2, as well as miR-139-3p inhibitors and their corresponding negative controls, were obtained from a commercial supplier. Following the manufacturer’s instructions, the oligonucleotides and short hairpin RNA constructs were transfected into HT-29 and LoVo cells using a lipid-based transfection reagent. The final concentrations were 50 nM for the short hairpin RNA constructs and 100 nM for the miR-139-3p inhibitors. A total of 10 μL of transfection reagent was used. Cells were harvested 48 h after transfection.

4. Reverse transcription–quantitative polymerase chain reaction
Total cellular RNA was isolated using a phenol- and guanidinium-based RNA extraction reagent according to the manufacturer’s instructions. The isolated RNA was used to synthesize complementary DNA using a commercial reverse transcription kit. Reverse transcription–quantitative polymerase chain reaction (RT-qPCR) was performed using a SYBR Green-based quantitative PCR master mix or a commercial miRNA quantitative RT-PCR kit. GAPDH was used as the internal control for SLC12A9-AS1, E-cadherin, and N-cadherin, whereas U6 was used as the internal control for miR-139-3p.

The RT-qPCR cycling conditions were as follows: 95 °C for 5 s, followed by 40 cycles of 95 °C for 10 s and 60 °C for 30 s. Relative RNA expression was calculated using the 2−ΔΔCt method. The primer sequences are listed in Table 1.

TargetForward primer (5′–3′)Reverse primer (5′–3′)
SLC12A9-AS1AGATGGCGGCGACTATGATGGGACGCAACCGCAGAAAAAG
miR-139-3pTCACAGAGGTTGTCCCGGCTATGGTTGTTCACGACTCCTTCAC
E-cadherinATTTTTCCCTCGACACCCGATTCCCAGGCGTAGACCAAGA
N-cadherinAGCCAACCTTAACTGAGGAGTGGCAAGTTGATTGGAGGGATG
GAPDHCAGGAGGCATTGCTGATGATGAAGGCTGGGGCTCATTT
U6CTCGCTTCGGCAGCACAAACGCTTCACGAATTTGCGT

Table 1: Primer sequences used for RT-qPCR. The table lists the forward and reverse primer sequences used to measure the expression of SLC12A9-AS1, miR-139-3p, E-cadherin, N-cadherin, GAPDH, and U6.

5. Cell viability assay
Cell viability in HT-29 and LoVo cells under the different transfection conditions was assessed using a tetrazolium-based colorimetric assay. Cells were seeded in 96-well plates at a density of 5 × 103 cells per well. At 0, 24, 48, and 72 h after transfection, the cell viability reagent was added according to the manufacturer’s instructions. Absorbance at 450 nm was measured using a microplate reader.

6. Permeable cell culture insert migration and invasion assays
The migratory and invasive abilities of CRC cells were assessed using cell culture insert chambers. For the invasion assay, the chambers were precoated with a basement membrane matrix. CRC cells were resuspended in serum-free medium at a density of 5 × 104 cells per 100 μL and added to the upper chamber. A total of 600 μL of complete culture medium was added to the lower chamber.

After 24 h of incubation, nonmigrated or noninvaded cells remaining on the membrane's upper surface were gently removed. Cells attached to the lower surface of the membrane were fixed with methanol for 15 min and stained with 0.1% crystal violet solution for 20 min. The membranes were then rinsed thoroughly with phosphate-buffered saline to remove excess stain. The migrated or invaded cells were counted using image-analysis software.

7. Dual-luciferase reporter assay
The potential interaction site between SLC12A9-AS1 and miR-139-3p was identified using the LncBook 2.0 database. Based on this prediction, wild-type and mutant reporter vectors, designated SLC12A9-AS1-WT and SLC12A9-AS1-MUT, respectively, were constructed. The reporter plasmids were co-transfected with miR-139-3p mimics, miR-139-3p inhibitors, or the corresponding negative controls into cells. Luciferase activity was measured using a commercial dual-luciferase reporter assay. Firefly luciferase activity in each sample was normalized to Renilla luciferase activity.

8. RNA immunoprecipitation assay
Cell lysates containing 1 × 107 HT-29 or LoVo cells were incubated at 4 °C for 8 h with protein A/G agarose beads preconjugated with an anti-Ago2 antibody or a normal IgG control antibody. RNA immunoprecipitation was performed using a commercial assay kit according to the manufacturer’s instructions. The levels of coprecipitated RNA were measured by RT-qPCR.

9. Statistical analysis
Data were analyzed using statistical and graphing software. Comparisons between two groups were performed using Student’s t-test. Comparisons among multiple groups were performed using analysis of variance followed by Bonferroni correction. A value of P < 0.05 was considered statistically significant.

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Results

SLC12A9-AS1 is upregulated in CRC tissues and cell lines
Expression data from the ENCORI (Figure 1A) and UALCAN (Figure 1B) databases showed that SLC12A9-AS1 was significantly upregulated in CRC tissues. To assess its cellular expression, SLC12A9-AS1 was measured in multiple CRC cell lines. Compared with NCM460 cells, SLC12A9-AS1 expression was significantly increased in multiple CRC cell lines (P < 0.05, Figure 1C

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Discussion

CRC ranks among the three most common malignancies worldwide in terms of both incidence and mortality20. Because early-stage symptoms are often nonspecific, many patients are diagnosed at an advanced stage21,22. Even after surgical resection, the 5-year overall survival rate remains unfavorable23,24. Therefore, further investigation of the molecular mechanisms underlying CRC progression remains important....

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Disclosures

The authors declare that they have no conflicts of interest.

Acknowledgements

The authors received no external funding for this work. No additional acknowledgments apply.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
HCT116 cellsInstitute of Biochemistry and Cell Biology, the Chinese Academy of SciencesSCSP-5076
HT-29 cellsInstitute of Biochemistry and Cell Biology, the Chinese Academy of SciencesSCSP-5032
SW620 cellsInstitute of Biochemistry and Cell Biology, the Chinese Academy of SciencesSCSP-5234
SW480 cellsInstitute of Biochemistry and Cell Biology, the Chinese Academy of SciencesSCSP-5033
LoVo cellsInstitute of Biochemistry and Cell Biology, the Chinese Academy of SciencesSCSP-514
NCM460 cellsProcell Life Science CL-0749
DMEM mediumGibco11965-092
RPMI-1640 mediumThermo Fisher Scientific11875093
FBSGibco10099141
Lipofectamine 3000Thermo Fisher ScientificL3000001
TRIzol ApplygenR1030
High Capacity cDNA Reverse Transcription KitThermo Fisher Scientific4368814
SYBR Premix Ex Taq kitTakaraRR420
miDETECT A Track miRNA qRT-PCR Starter KitRiboBioC10712
CCK-8 reagent BeyotimeC0039
Matrigel BD Biosciences356230
dual-Luciferase reporter gene assay kitBeyotimeRG027
EZ-Magna RIP Kit Millipore17-701
Transwell Permeable Supports Corning3422
Anti-Ago2 antibodyMillipore03-110
Normal mouse IgGMillipore12-371
Microplate Reader BioTekELx800
SPSSIBMVersion 20.0
GraphPad PrismGraphPad SoftwareVersion 8.0
ImageJNIHversion 1.34
ENCORIOnline databasehttps://rnasysu.com/encori/index.php
UALCANOnline databasehttp://ualcan.path.uab.edu/
LncBook 2.0Online databasehttps://bigd.big.ac.cn/lncbook/index

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