Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Aug 19;21(1):168.
doi: 10.1186/s12943-022-01638-1.

Hypoxia-induced lncRNA STEAP3-AS1 activates Wnt/β-catenin signaling to promote colorectal cancer progression by preventing m6A-mediated degradation of STEAP3 mRNA

Affiliations

Hypoxia-induced lncRNA STEAP3-AS1 activates Wnt/β-catenin signaling to promote colorectal cancer progression by preventing m6A-mediated degradation of STEAP3 mRNA

Li Zhou et al. Mol Cancer. .

Abstract

Background: Hypoxia, a typical hallmark of solid tumors, exhibits an essential role in the progression of colorectal cancer (CRC), in which the dysregulation of long non-coding RNAs (lncRNAs) is frequently observed. However, the underlying mechanisms are not clearly defined.

Methods: The TCGA database was analyzed to identify differential lncRNA expression involved in hypoxia-induced CRC progression. qRT-PCR was conducted to validate the upregulation of lncRNA STEAP3-AS1 in CRC cell lines and tumor-bearing mouse and zebrafish models under hypoxia. ChIP-qRT-PCR was used to detect the transcriptional activation of STEAP3-AS1 mediated by HIF-1α. RNA-seq, fluorescent in situ hybridization, RNA pulldown, RNA immunoprecipitation, co-immunoprecipitation, immunofluorescence and immunoblot experiments were used to ascertain the involved mechanisms. Functional assays were performed in both in vitro and in vivo models to investigate the regulatory role of STEAP3-AS1/STEAP3/Wnt/β-catenin axis in CRC proliferation and metastasis.

Results: Here, we identified a hypoxia-induced antisense lncRNA STEAP3-AS1 that was highly expressed in clinical CRC tissues and positively correlated with poor prognosis of CRC patients. Upregulation of lncRNA STEAP3-AS1, which was induced by HIF-1α-mediated transcriptional activation, facilitated the proliferation and metastasis of CRC cells both in vitro and in vivo. Mechanistically, STEAP3-AS1 interacted competitively with the YTH domain-containing family protein 2 (YTHDF2), a N6-methyladenosine (m6A) reader, leading to the disassociation of YTHDF2 with STEAP3 mRNA. This effect protected STEAP3 mRNA from m6A-mediated degradation, enabling the high expression of STEAP3 protein and subsequent production of cellular ferrous iron (Fe2+). Increased Fe2+ levels elevated Ser 9 phosphorylation of glycogen synthase kinase 3 beta (GSK3β) and inhibited its kinase activity, thus releasing β-catenin for nuclear translocation and subsequent activation of Wnt signaling to support CRC progression.

Conclusions: Taken together, our study highlights the mechanisms of lncRNA STEAP3-AS1 in facilitating CRC progression involving the STEAP3-AS1/STEAP3/Wnt/β-catenin axis, which may provide novel diagnostic biomarkers or therapeutic targets to benefit CRC treatment. Hypoxia-induced HIF-1α transcriptionally upregulates the expression of lncRNA STEAP3-AS1, which interacts competitively with YTHDF2, thus upregulating mRNA stability of STEAP3 and consequent STEAP3 protein expression. The enhanced STEAP3 expression results in production of cellular ferrous iron (Fe2+), which induces the Ser 9 phosphorylation and inactivation of GSK3β, releasing β-catenin for nuclear translocation and contributing to subsequent activation of Wnt signaling to promote CRC progression.

Keywords: Colorectal cancer; Hypoxia; LncRNA STEAPS-AS1; STEAP3; Wnt/β-catenin; YTHDF2; m6A modification.

PubMed Disclaimer

Conflict of interest statement

The authors declared no potential competing interests.

Figures

Fig. 1
Fig. 1
LncRNA STEAP3-AS1 is transcriptionally induced by HIF-1α under hypoxia. A Schematic diagram describing the screening process of candidate antisense lncRNAs using the TCGA dataset. B The correlation between STEAP3-AS1 and HIF1A RNA level in TCGA datasets was analyzed by Pearson correlation test. C The expression of STEAP3-AS1 in normal and CRC samples from the TCGA datasets. D Kaplan–Meier analysis of progression free survival of CRC patients with low or high STEAP3-AS1 expression according to the TCGA dataset (P = 0.037, log-rank test). E qPCR was performed to determine relative STEAP3-AS1 RNA level in DLD-1 and SW480 cells after treatment with 1% O2 for 0 h, 4 h and 8 h. F-G Relative STEAP3-AS1 expression in DLD-1 and SW480 cells treated with DMOG (1 mM) or CoCl2 (100 μM) for 48 h was determined by qPCR. H 200 SW480 cells expressing mCherry were implanted into the perivitelline space of 3dpf flk:eGFP Casper zebrafishes. After being under normoxic or hypoxic (8% O2) condition for 3 days, the zebrafishes were then monitored by stereo microscopy. Scale bar: 250 μm. I qPCR was performed to determine the relative RNA levels of STEAP3-AS1, HIF1A, VEGFA, PGK1, SLC2A3 in mCherry SW480-derived zebrafish xenograft models with or without hypoxic treatment. J ChIP assay investigating the binding capacity of HIF-1α to each HRE was conducted in DLD-1 and SW480 cells. K FISH assay was conducted to determine the subcellular location of lncRNA STEAP3-AS1 (Cy3) in DLD-1 and SW480 cells. DAPI-stained nuclei are blue. Scale bar: 10 μm. L The expression level of lncRNA STEAP3-AS1 in the subcellular fractions of DLD-1 cells was detected by qPCR. U6 and GAPDH were used as nuclear and cytoplasmic markers, respectively. Data are means ± s.d. and are representative of at least 3 independent experiments. (* P < 0.05, ** P < 0.01, and *** P < 0.001)
Fig. 2
Fig. 2
LncRNA STEAP3-AS1 promotes growth of CRC cells both in vitro and in vivo. A Basal level of STEAP3-AS1 was determined using qPCR assay in the nonmalignant human colon epithelial cell line NCM460 and several CRC cell lines (including SW480, SW620, HCT116, HT29, DLD-1, LoVo, and RKO). B qPCR analysis was performed to detect the RNA levels of STEAP3-AS1 in DLD-1 and SW480 cells with or without STEAP3-AS1 stable knock-down. C-D The growth of DLD-1 (C) and SW480 (D) cells was monitored by MTT assay over a 4-day period with or without STEAP3-AS1 knockdown. (sh#1, shSTEAP3-AS1 #1; sh#2, shSTEAP3-AS1 #2). E The effects of lncRNA STEAP3-AS1 knockdown on the proliferation of SW480 and DLD-1 cells were examined by colony formation assays. Top, DLD-1 cells; bottom, SW480 cells. (sh#1, shSTEAP3-AS1 #1; sh#2, shSTEAP3-AS1 #2). F Relative clone numbers in (E). Left, DLD-1 cells; right, SW480 cells. (sh#1, shSTEAP3-AS1 #1; sh#2, shSTEAP3-AS1 #2). G EdU assays were used to detect the proliferation rate of SW480 (bottom) and DLD-1 (top) cells with or without STEAP3-AS1 knockdown. Scale bar: 50 μm. (sh#1, shSTEAP3-AS1 #1). H Images of isolated tumors from the subcutaneous tumor mice model established using DLD-1 cells with or without STEAP3-AS1 knockdown. I-J Tumor volume (I) and weight (J) were significantly decreased in the lncRNA STEAP3-AS1 knockdown group compared with the control group. K Left, representative images of Ki67 staining of the tumor tissue; right, the statistic graph of Ki67 positive cells. Scale bar: left 50 μm, right 20 μm. L Left, brightfield images of organoids treated with lenti-shSTEAP3-AS1 or anti-STEAP3-AS1 ASO for indicated times; right, the statistic graph of relative size of PDOs. scale bar: 100 μm. Data are means ± s.d. and are representative of at least 3 independent experiments. (** P < 0.01 and *** P < 0.001)
Fig. 3
Fig. 3
LncRNA STEAP3-AS1 facilitates migration and invasion of CRC cells. A Representative images of lung (left) and their H&E staining (right) from the tail vein injection model using DLD-1 cells. Scale bar: 100 μm. (sh#1, shSTEAP3-AS1 #1). B The metastatic liver colonization model was generated by inoculating DLD-1 cells into the splenic of BALB/c mice (left), or orthotopically implanting CRC xenograft into the cecum of BALB/c mice (right). Representative H&E images of livers staining are shown. Scale bar: left 100 μm, right 25 μm. (sh#1, shSTEAP3-AS1 #1). C Wound healing assay showing cell migration of DLD-1 (left) and SW480 (right) cells with or without STEAP3-AS1 knockdown. Scale bar: 100 μm. (sh#1, shSTEAP3-AS1 #1; sh#2, shSTEAP3-AS1 #2). D The statistic graph of relative migration distance in (C). (sh#1, shSTEAP3-AS1 #1; sh#2, shSTEAP3-AS1 #2). E-F Migration and invasion of DLD-1 (E) and SW480 cells (F) with or without STEAP3-AS1 knockdown were evaluated using transwell assays. Scale bar: 100 μm. (sh#1, shSTEAP3-AS1 #1; sh#2, shSTEAP3-AS1 #2). G The statistic graph of relative migration cell numbers in (E-F). Left, DLD-1 cells; Right, SW480 cells. (sh#1, shSTEAP3-AS1 #1; sh#2, shSTEAP3-AS1 #2). H EMT markers were detected by western blot in DLD-1 and SW480 cells with or without STEAP3-AS1 knockdown. (sh#1, shSTEAP3-AS1 #1). I-J qPCR analysis of the expression of EMT markers in STEAP3-AS1 knockdown or control DLD-1 (I) and SW480 (J) cells. Data are means ± s.d. and are representative of at least 3 independent experiments. (** P < 0.01 and *** P < 0.001)
Fig. 4
Fig. 4
LncRNA STEAP3-AS1 positively regulates STEAP3 to promote CRC progression. A-B Correlation analysis of relative RNA level of STEAP3 and STEAP3-AS1 in TCGA datasets (A) and CRC cell lines from CCLE (B), r = Pearson’s correlation coefficient. C Relative RNA level of STEAP3-AS1 and STEAP3 in control or STEAP3-AS1-knockdown DLD-1 (left) and SW480 (right) cells determined by qPCR. (sh#1, shSTEAP3-AS1 #1; sh#2, shSTEAP3-AS1 #2). D The expression level of STEAP3 protein in control or STEAP3-AS1-knockdown DLD-1 and SW480 cells was measured by western blotting. (sh#1, shSTEAP3-AS1 #1; sh#2, shSTEAP3-AS1 #2). E-F The protein levels of STEAP3 and HIF-1α (E), and relative RNA level of STEAP3 (F) in DLD-1 and SW480 cells under hypoxia at indicated time points. G qPCR analysis of relative RNA levels of STEAP3, HIF-1α and HIF-1α target genes in mCherry SW480-derived zebrafish xenograft models under normoxia or hypoxia. H-I Relative cell numbers at serial time points (H) and colony formation (I) of control and STEAP3-AS1-knockdown DLD-1 cells with or without replenishment of STEAP3. (sh#1, shSTEAP3-AS1 #1; sh#2, shSTEAP3-AS1 #2; OE, STEAP3-AS1 overexpression). J The efficiency of siRNA-mediated STEAP3 knockdown was measured by western blotting. K The colony formation of control and STEAP3-AS1-overexpressing DLD-1 and SW480 cells treated with or without STEAP3 siRNA. (OE, STEAP3-AS1 overexpression). L Wound healing assay (left) and relative migration distance (right) of control and STEAP3-AS1-knockdown DLD-1 cells with or without reintroduction of STEAP3. Scale bar: 100 μm. (sh#1, shSTEAP3-AS1 #1; sh#2, shSTEAP3-AS1 #2). M Wound healing assay (left) and relative migration distance (right) of control and STEAP3-AS1-overexpressing DLD-1 cells treated with or without STEAP3 siRNA. Scale bar: 100 μm. (OE, STEAP3-AS1 overexpression). N Migration and invasion of control and STEAP3-AS1-knockdown DLD-1 cells with or without reintroduction of STEAP3. Scale bar: 100 μm. (sh#1, shSTEAP3-AS1 #1; sh#2, shSTEAP3-AS1 #2). Data are means ± s.d. and are representative of at least 3 independent experiments. (* P < 0.05, ** P < 0.01, and *** P < 0.001)
Fig. 5
Fig. 5
STEAP3-AS1 binds to YTHDF2 to prevent m6A-mediated degradation of STEAP3 mRNA. A The potential binding proteins of STEAP3-AS1 predicted by the AnnoLnc2 database. B m6A modification of STEAP3 mRNA and STEAP3-AS1 in SW480 and DLD-1 cells analyzed by MeRIP. C The interaction between YTHDF2 and STEAP3-AS1 in DLD-1 and SW480 cells as measured by RNA pulldown. Anti-sense was used as a negative control. D RIP analysis of the binding of YTHDF2 to STEAP3 mRNA and STEAP3-AS1 in DLD-1 and SW480 cells. E The binding of YTHDF2 to indicated truncated STEAP3-AS1 in SW480 and DLD-1 cells measured by RNA pulldown. F RNA pulldown analysis of the interaction between YTHDF2 and STEAP3 mRNA in control or STEAP3-AS1-knockdown DLD-1 and SW480 cells. G RIP analysis of the interaction between YTHDF2 and STEAP3 mRNA in DLD-1 and SW480 cells with or without STEAP3-AS1 knockdown. (sh#1, shSTEAP3-AS1 #1). H Relative mRNA level of STEAP3 in control or STEAP3-AS1-knockdown DLD-1 and SW480 cells treated with actinomycin D (2.5 μM) at indicated time points. (sh#1, shSTEAP3-AS1 #1; sh#2, shSTEAP3-AS1 #2). I Relative STEAP3 mRNA level in control or STEAP3-AS1-overexpressing HCT116 cells treated with actinomycin D (2.5 μM) at indicated time points. (OE, STEAP3-AS1 overexpression). Data are means ± s.d. and are representative of at least 3 independent experiments. (** P < 0.01 and *** P < 0.001, NS, not significant)
Fig. 6
Fig. 6
STEAP3-AS1 activates wnt/β-catenin signaling to promote CRC progression. A Gene-Concept Network of enriched Wnt signaling pathways based on RNA-sequencing analysis of control and STEAP3-AS1-knockdown DLD-1 cells. B Heatmap of RNA sequencing results from Fig. 6A showing the expression patterns of Wnt signaling pathway-related genes. C Western blotting analysis showing the expression level of cytoplasmic (Cyto) and nuclear (Nuc) β-catenin in DLD-1 and SW480 cells with or without STEAP3-AS1 knockdown. The GSK3β inhibitor CHIR-99021 was used as a positive control. D-E The expression level of cytoplasmic (Cyto) and nuclear (Nuc) β-catenin in control or STEAP3-AS1-overexpressing DLD-1 (D) and HCT116 (E) cells was analyzed by western blotting. F TOP/FOP flash reporter assay in control or STEAP3-AS1-knockdown DLD-1 and SW480 cells. The GSK3β inhibitor CHIR-99021 was used as a positive control. G TOP/FOP flash reporter assay in control or STEAP3-AS1-overexpressing HCT116 (left) and DLD-1 (right) cells. H Relative RNA levels of several Wnt members and the Wnt inhibitor protein DKK1 in control or STEAP3-AS1-knockdown DLD-1 and SW480 cells. The GSK3β inhibitor CHIR-99021 was used as a positive control. Data are means ± s.d. and are representative of at least 3 independent experiments. (** P < 0.01 and *** P < 0.001)
Fig. 7
Fig. 7
STEAP3-AS1/STEAP3-mediated Fe2+ inactivates GSK3β to stimulate wnt/β-catenin signaling. A Relative cellular Fe2+ level in DLD-1 and SW480 cells with or without STEAP3-AS1 knockdown. B TOP/FOP flash assay for detecting the transcriptional activity of Wnt/β-catenin signaling in control or STEAP3-AS1 knockdown DLD-1 cells with or without FeSO4 (100 μM) treatment for 48 h. C After treatment with or without FeSO4 (100 μM) for 48 h, control or STEAP3-AS1 knockdown DLD-1 and SW480 cells were analyzed to show the subcellular distribution of β-catenin using nuclear/cytoplasmic fractionation and subsequent WB analysis. (Cyto, cytoplasm; Nuc, nucleus). D Control or STEAP3-AS1 knockdown DLD-1 and SW480 cells were seeded on slides on 24 well-plates overnight and treated as in (C), IF assay was conducted to detect the subcellular distribution of β-catenin. Scale bar: 10 μm. (E-F) Control or STEAP3-AS1 knockdown DLD-1 and SW480 cells were seeded on a culture dish overnight and treated as in (C). Immunoprecipitation (IP) and WB analysis were performed to observe the interaction between β-catenin and GSK3β. G The efficiency of siRNA-mediated GSK3β knockdown was measured by western blotting. H The colony formation of control and STEAP3-AS1 knockdown DLD-1 and SW480 cells treated with or without GSK3β siRNA. I Wound healing assay and relative migration distance of control and STEAP3-AS1-knockdown DLD-1 and SW480 cells treated with or without GSK3β siRNA. Scale bar: 100 μm. J Control or STEAP3-AS1 knockdown DLD-1 and SW480 cells were treated as in (C). Cell growth was performed by MTT assay over a 3-day period. (sh#1, shSTEAP3-AS1 #1). K Control or STEAP3-AS1 knockdown DLD-1 cells were treated as in (C). Migration and invasion of DLD-1 cells were evaluated by transwell assays. Scale bar: 100 μm. (sh#1, shSTEAP3-AS1 #1; sh#2, shSTEAP3-AS1 #2). Data are means ± s.d. and are representative of at least 3 independent experiments. (** P < 0.01 and *** P < 0.001)

References

    1. Rankin EB, Giaccia AJ. Hypoxic control of metastasis. Science. 2016;352:175–180. doi: 10.1126/science.aaf4405. - DOI - PMC - PubMed
    1. Gilkes DM, Semenza GL, Wirtz D. Hypoxia and the extracellular matrix: drivers of tumour metastasis. Nat Rev Cancer. 2014;14:430–439. doi: 10.1038/nrc3726. - DOI - PMC - PubMed
    1. Jing X, Yang F, Shao C, Wei K, Xie M, Shen H, Shu Y. Role of hypoxia in cancer therapy by regulating the tumor microenvironment. Mol Cancer. 2019;18:157. doi: 10.1186/s12943-019-1089-9. - DOI - PMC - PubMed
    1. Choudhry H, Harris AL. Advances in hypoxia-inducible factor biology. Cell Metab. 2018;27:281–298. doi: 10.1016/j.cmet.2017.10.005. - DOI - PubMed
    1. Schito L, Semenza GL. Hypoxia-inducible factors: master regulators of Cancer progression. Trends Cancer. 2016;2:758–770. doi: 10.1016/j.trecan.2016.10.016. - DOI - PubMed

Publication types

MeSH terms