Skip to main content

Main menu

  • Home
  • About
    • About CBM
    • Editorial Board
    • Announcement
  • Articles
    • Ahead of print
    • Current Issue
    • Archive
    • Collections
    • Cover Story
  • For Authors
    • Instructions for Authors
    • Resources
    • Submit a Manuscript
  • For Reviewers
    • Become a Reviewer
    • Instructions for Reviewers
    • Resources
    • Outstanding Reviewer
  • Subscription
  • Alerts
    • Email Alerts
    • RSS Feeds
    • Table of Contents
  • Contact us
  • Other Publications
    • cbm

User menu

  • My alerts

Search

  • Advanced search
Cancer Biology & Medicine
  • Other Publications
    • cbm
  • My alerts
Cancer Biology & Medicine

Advanced Search

 

  • Home
  • About
    • About CBM
    • Editorial Board
    • Announcement
  • Articles
    • Ahead of print
    • Current Issue
    • Archive
    • Collections
    • Cover Story
  • For Authors
    • Instructions for Authors
    • Resources
    • Submit a Manuscript
  • For Reviewers
    • Become a Reviewer
    • Instructions for Reviewers
    • Resources
    • Outstanding Reviewer
  • Subscription
  • Alerts
    • Email Alerts
    • RSS Feeds
    • Table of Contents
  • Contact us
  • Follow cbm on Twitter
  • Visit cbm on Facebook
Research ArticleOriginal Article
Open Access

Amplifying colorectal cancer progression: impact of a PDIA4/SP1 positive feedback loop by circPDIA4 sponging miR-9-5p

Yan Zhuang, Yiding Ai, Peng Li, Xin Yue, Yue Li, Luling Shan, Tongtong Wang, Peng Zhao and Xun Jin
Cancer Biology & Medicine October 2024, 21 (10) 916-933; DOI: https://doi.org/10.20892/j.issn.2095-3941.2024.0112
Yan Zhuang
1Department of Colorectal Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin 300060, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yiding Ai
2Department of Biochemistry and Molecular Biology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin 300060, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Peng Li
3Department of Neurosurgery and Neuro-Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin 300060, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xin Yue
1Department of Colorectal Oncology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin 300060, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yue Li
4Department of Gastro Colorectal Oncology, Tianjin Cancer Hospital Airport Hospital, Tianjin 300308, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Luling Shan
4Department of Gastro Colorectal Oncology, Tianjin Cancer Hospital Airport Hospital, Tianjin 300308, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tongtong Wang
4Department of Gastro Colorectal Oncology, Tianjin Cancer Hospital Airport Hospital, Tianjin 300308, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Peng Zhao
4Department of Gastro Colorectal Oncology, Tianjin Cancer Hospital Airport Hospital, Tianjin 300308, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: 13752085215{at}163.com jinx2354{at}163.com
Xun Jin
2Department of Biochemistry and Molecular Biology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin 300060, China
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Xun Jin
  • For correspondence: 13752085215{at}163.com jinx2354{at}163.com
  • Article
  • Figures & Data
  • Info & Metrics
  • References
  • PDF
Loading

Article Figures & Data

Figures

  • Supplementary Materials
  • Figure 1
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1

    PDIA mRNA and circPDIA4 expression patterns in CRC tissues and cells. (A) Heatmap illustrating PDIA1-6 mRNA expression and enrichment of protein folding-related signatures (GOBP_PROTEIN_FOLDING and GOMF_PROTEIN_DISULFIDE_ISOMERASE_ACTIVITY, https://www.gsea-msigdb.org) detected through single-sample GSEA in the TCGA-COADREAD dataset (https://portal.gdc.cancer.gov/). (B) Radar chart depicting the correlation values between PDIA1-6 mRNA expression and the enrichment score of protein folding-related signatures in the TCGA-COADREAD dataset. (C) Level of PDIA1-6 protein expression in normal (n = 3) and CRC tissues (n = 10). The foundational tissue microarray data and representative IHC images were obtained from the Human Protein Atlas database (https://www.proteinatlas.org/). Quantification of the bottom graph was performed using Image J software. Data are presented as the mean ± SD. *P < 0.05. (D) Volcano plot showing the differentially expressed circRNAs in CRC tissues compared to matched adjacent tissues in the GSE205643 dataset. (Red: upregulated genes in CRC; blue: downregulated genes in CRC; yellow: circPDIA4). (E) Venn diagram illustrating the overlap between differentially expressed circRNAs in the GSE205643 dataset and circRNAs derived from PDIA1-6 transcripts (http://www.circbase.org/). CircPDIA4 is back-spliced by PDIA4 exons 2, 3, 4, 5, 6, and 7. (F) CircPDIA4 expression levels were detected by rt-qPCR in freshly collected CRC tissues (n = 20) and matched normal tissues (n = 20). Data are presented as the mean ± SD. ***P < 0.001. (G) CircPDIA4 expression was detected in NCM460, HCT116, HT29, SW480, and RKO cells through rt-qPCR. Data are presented as the mean ± SD. ***P < 0.001.

  • Figure 2
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2

    Cellular functions of circPDIA4 in CRC cells. The impact of circPDIA4 depletion on the cell growth of HCT116 (A) and HT29 (B) cells was assessed using the CCK-8 method. The influence of circPDIA4 depletion on CRC cell migration (C) and invasion (D) was evaluated through Transwell assays without or with Matrigel coating. The cells were photographed and counted in five random distinct fields. Data are presented as the mean ± SD. Scale bar = 50 μm; ***P < 0.001.

  • Figure 3
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3

    Identification of circPDIA4-targeting miRNAs. (A) Schematic illustrating the intracellular distribution of circPDIA4 in CRC cells (HCT116 and HT29). Green, cytoplasm; red, nucleus. (B) The RNA bound to the AGO2 protein, obtained through RIP, was used as a template for specific circPDIA4 rt-qPCR to verify its interaction with the AGO2 protein. (C) A Venn diagram depicts the common targets of circPDIA4 identified across circBank, starBase, and circAtlas databases. Additionally, the predicted binding sequence of circPDIA4 with miRNA, as per the starBase database, is provided. (D) The level of miR-9-5p expression in circPDIA4-depleted and control CRC cells was evaluated using rt-qPCR. (E) Schematic illustrating a luciferase reporter system containing either wild-type (WT) or mutated (MUT) miR-9-5p binding sites on circPDIA4. (F) The luciferase reporter experiment assessed the binding interaction between miR-9-5p and circPDIA4 in CRC cells by calculating the relative fluorescence intensity. (G) Level of miR-9-5p expression was detected by rt-qPCR in freshly collected CRC tissues (n = 20) and matched normal tissues (n = 20). (H) miR-9-5p expression was measured in NCM460, HCT116, HT29, SW480, and RKO cells through rt-qPCR. Data are presented as the mean ± SD. ***P < 0.001.

  • Figure 4
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4

    Identification of miR-9-5p-targeting mRNAs. (A) Venn diagram illustrating the shared targets of miR-9-5p identified across the miRDIP, miRMap, miRWalk, and starBase databases. (B) The RNA bound to the AGO2 protein, obtained through RIP, was used as a template for specific rt-qPCR targeting miR-9-5p and SP1 mRNA to verify their interaction with the AGO2 protein. (C) The depletion of SP1 mRNA expression by miR-9-5p in CRC cells was evaluated using rt-qPCR. Cellular mRNA treated with the miR-9-5p mimic or a non-specific control (NC) mimic served as the template. (D) The downregulation of SP1 protein by miR-9-5p in CRC cells was assessed using western blot. (E) Schematic illustrating a luciferase reporter system containing the wild-type (WT) or mutant (MUT) miR-9-5p targeting site within the SP1 3′UTR. (F) The luciferase reporter experiment assessed the binding interaction between miR-9-5p and SP1 3′UTR in CRC cells by calculating the relative fluorescence intensity. (G) SP mRNA expression was detected by rt-qPCR in freshly collected CRC tissues (n = 20) and matched normal tissues (n = 20). (H) SP mRNA expression was measured in NCM460, HCT116, HT29, SW480, and RKO cells through rt-qPCR. Data are presented as the mean ± SD. ***P < 0.001.

  • Figure 5
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5

    Validation of cellular functions of circPDIA4/miR-9-5p/SP1 axis in CRC cells. We investigated the effects of the circPDIA4/miR-9-5p/SP1 regulatory axis on the growth of colorectal cancer (CRC) cell lines, including HCT116 (A) and HT29 (B). Using the CCK-8 assay, we measured cell growth under several conditions: in control cells; in cells depleted of circPDIA4; in circPDIA4-depleted cells treated with a miR-9-5p antagonist (referred to as miR-9-5p-I); and in circPDIA4-depleted cells with SP1 overexpression. Additionally, we evaluated the role of the circPDIA4/miR-9-5p/SP1 axis in CRC cell migration using Transwell assays (C), and in cell invasion using Matrigel-coated Transwell assays (D). The cells were photographed and counted in five random distinct fields. Data are presented as the mean ± SD. Scale bar = 50 μm; ***P < 0.001.

  • Figure 6
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 6

    Elucidation of positive feedback regulation of PDIA/cirPDIA4 by SP1. (A) Ranking graph displaying mRNAs co-expressed with SP1 mRNA in the CRC database (Reference: Sidra-LUMC AC-ICAM). (B) Dot plot illustrating the correlation between SP1 and PDIA4 mRNA expression in the CRC database (Sidra-LUMC AC-ICAM). (C) The predicted SP1 binding site on the PDIA4 promoter, as identified by the JASPAR database, was shown. (D) The binding capability of the SP1 protein to the promoter region of PDIA4 was validated by ChIP-PCR. (E) Schematic illustrating a luciferase reporter system containing either wild-type (WT) or mutated (MUT) SP1 binding sites on the PDIA4 promoter. (F) The luciferase reporter assay was conducted to evaluate the impact of SP1 on the transcriptional activity of the PDIA4 promoter in CRC cells by calculating the relative fluorescence intensity. (G) Dot plot illustrating the correlation between SP1 mRNA and circPDIA4 expression in the CRC by rt-qPCR. (H) RT-qPCR was used to assess the expression of circPDIA4 following SP1 depletion in CRC cells. Data are presented as the mean ± SD. ***P < 0.001.

  • Figure 7
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 7

    Depletion of circPDIA4 in CRC cells repressed the in vivo tumorigenicity by increasing miR-9-5p expression and suppressing SP1 expression. (A-C) Representative images (A) of tumors were obtained 1 month post-injection of HCT116 cells—either circPDIA4-depleted or control—into the subcutaneous tissue of nude mice. Subsequently, tumor volumes (B) and weights (C) were quantified. Tumor volume calculation formula: V = π/6 × L × W2. (D) RT-qPCR was used to assess the levels of circPDIA4, miR-9-5p, and SP1 expression in tumor tissues. (E) Immunohistochemistry (IHC) was performed to detect proliferating cells (Ki67-positive) in tumor tissues. Scale bar = 80 μm. (F) Schematic diagram illustrating the PDIA4/SP1 positive feedback loop involving circPDIA4/miR-9-5p in CRC. Data are presented as the mean ± SD. ***P < 0.001; **P < 0.01.

Supplementary Materials

  • Figures
  • [cbm-21-916-s001.pdf]
PreviousNext
Back to top

In this issue

Cancer Biology & Medicine: 21 (10)
Cancer Biology & Medicine
Vol. 21, Issue 10
15 Oct 2024
  • Table of Contents
  • Index by author
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on Cancer Biology & Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Amplifying colorectal cancer progression: impact of a PDIA4/SP1 positive feedback loop by circPDIA4 sponging miR-9-5p
(Your Name) has sent you a message from Cancer Biology & Medicine
(Your Name) thought you would like to see the Cancer Biology & Medicine web site.
Citation Tools
Amplifying colorectal cancer progression: impact of a PDIA4/SP1 positive feedback loop by circPDIA4 sponging miR-9-5p
Yan Zhuang, Yiding Ai, Peng Li, Xin Yue, Yue Li, Luling Shan, Tongtong Wang, Peng Zhao, Xun Jin
Cancer Biology & Medicine Oct 2024, 21 (10) 916-933; DOI: 10.20892/j.issn.2095-3941.2024.0112

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Amplifying colorectal cancer progression: impact of a PDIA4/SP1 positive feedback loop by circPDIA4 sponging miR-9-5p
Yan Zhuang, Yiding Ai, Peng Li, Xin Yue, Yue Li, Luling Shan, Tongtong Wang, Peng Zhao, Xun Jin
Cancer Biology & Medicine Oct 2024, 21 (10) 916-933; DOI: 10.20892/j.issn.2095-3941.2024.0112
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Materials and methods
    • Results
    • Discussion
    • Conclusions
    • Supporting Information
    • Conflict of interest statement
    • Author contributions
    • Data availability statement
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • SPRED2 suppresses the stemness of hepatocellular carcinoma through the p53/miR-506-3p/KLF4 pathway
  • Migration and invasion inhibitory protein inhibits M2 macrophage polarization to suppress colorectal cancer progression through the STING–NFκB2–IL10 axis
  • Temporal radiomics for non-invasive preoperative prediction of pathologic complete response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer
Show more Original Article

Similar Articles

Subjects

  • Gastrointestinal cancer

Keywords

  • CircRNA
  • positive feedback loop
  • colorectal cancer
  • PDIA4
  • SP1

Navigate

  • Home
  • Current Issue

More Information

  • About CBM
  • About CACA
  • About TMUCIH
  • Editorial Board
  • Subscription

For Authors

  • Instructions for authors
  • Journal Policies
  • Submit a Manuscript

Journal Services

  • Email Alerts
  • Facebook
  • RSS Feeds
  • Twitter

 

© 2026 Cancer Biology & Medicine

Powered by HighWire