VPS9D1-AS1 overexpression amplifies intratumoral TGF-β signaling and promotes tumor cell escape from CD8+ T cell killing in colorectal cancer

  1. Lei Yang  Is a corresponding author
  2. Xichen Dong
  3. Zheng Liu
  4. Jinjing Tan
  5. Xiaoxi Huang
  6. Tao Wen
  7. Hao Qu  Is a corresponding author
  8. Zhenjun Wang  Is a corresponding author
  1. Beijing Chao-Yang Hospital, China
  2. Beijing Chest Hospital, China

Abstract

Efficacy of immunotherapy is limited in patients with colorectal cancer (CRC) because high expression of tumor-derived transforming growth factor (TGF)-β pathway molecules and interferon (IFN)-stimulated genes (ISGs) promotes tumor immune evasion. Here, we identified a long noncoding RNA (lncRNA), VPS9D1-AS1, which was located in ribosomes and amplified TGF-β signaling and ISG expression. We show that high expression of VPS9D1-AS1 was negatively associated with T lymphocyte infiltration in two independent cohorts of CRC. VPS9D1-AS1 served as a scaffolding lncRNA by binding with ribosome protein S3 (RPS3) to increase the translation of TGF-β, TGFBR1, and SMAD1/5/9. VPS9D1-AS1 knockout downregulated OAS1, an ISG gene, which further reduced IFNAR1 levels in tumor cells. Conversely, tumor cells overexpressing VPS9D1-AS1 were resistant to CD8+ T cell killing and lowered IFNAR1 expression in CD8+ T cells. In a conditional overexpression mouse model, VPS9D1-AS1 enhanced tumorigenesis and suppressed the infiltration of CD8+ T cells. Treating tumor-bearing mice with antisense oligonucleotide drugs targeting VPS9D1-AS1 significantly suppressed tumor growth. Our findings indicate that the tumor-derived VPS9D1-AS1/TGF-β/ISG signaling cascade promotes tumor growth and enhances immune evasion and may thus serve as a potential therapeutic target for CRC.

Data availability

RNA sequencing data set of HCT116 sgControl and sgVPS cells were deposited in Sequence Read Archive (PRJNA716724) and Dryad Digital Repository (10.5061/dryad.qnk98sfk6).

The following data sets were generated

Article and author information

Author details

  1. Lei Yang

    Medical Research Center, Beijing Chao-Yang Hospital, Beijing, China
    For correspondence
    yl6649084@mail.ccmu.edu.cn
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-3718-2138
  2. Xichen Dong

    Medical Research Center, Beijing Chao-Yang Hospital, Beijign, China
    Competing interests
    The authors declare that no competing interests exist.
  3. Zheng Liu

    Medical Research Center, Beijing Chao-Yang Hospital, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  4. Jinjing Tan

    Department of Cellular and Molecular Biology, Beijing Chest Hospital, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  5. Xiaoxi Huang

    Medical Research Center, Beijing Chao-Yang Hospital, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  6. Tao Wen

    Medical Research Center, Beijing Chao-Yang Hospital, Beijing, China
    Competing interests
    The authors declare that no competing interests exist.
  7. Hao Qu

    Department of General Surgery, Beijing Chao-Yang Hospital, Beijing, China
    For correspondence
    13701320206@163.com
    Competing interests
    The authors declare that no competing interests exist.
  8. Zhenjun Wang

    Department of General Surgery, Beijing Chao-Yang Hospital, Beijing, China
    For correspondence
    drzhenjun@163.com
    Competing interests
    The authors declare that no competing interests exist.

Funding

Natural Science Foundation of China (81802349)

  • Lei Yang

National Science Foundation of China (8213234)

  • Tao Wen

Beijing Natural Science Foundation (7192070)

  • Lei Yang

Beijing Municipal of Hospitals Incubating Program (PX2018013)

  • Lei Yang

Scientific Research Project of Beijing Educational Committee (KM20190025016)

  • Lei Yang

Open Project of Key Laboratory of Cardiovascular Disease Medical Engineering, Ministry of Education (2019XXG-KFKT-03)

  • Lei Yang

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Animal experimentation: Animal experimental protocols were approved (AEEI-2021-105) according to the guidelines of the Ethics Committee for Animal Testing of Capital Medical University.

Human subjects: All sample donors provided informed consent, and the study was conducted under the approval (2018-ke-24) of the Institutional Ethics Committee from Beijing Chaoyang Hospital of Capital Medical University between 2018 and 2020 samples were collected from patients with CRC who did not receive chemotherapy or radiotherapy before surgery.

Copyright

© 2022, Yang et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 766
    views
  • 148
    downloads
  • 11
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Lei Yang
  2. Xichen Dong
  3. Zheng Liu
  4. Jinjing Tan
  5. Xiaoxi Huang
  6. Tao Wen
  7. Hao Qu
  8. Zhenjun Wang
(2022)
VPS9D1-AS1 overexpression amplifies intratumoral TGF-β signaling and promotes tumor cell escape from CD8+ T cell killing in colorectal cancer
eLife 11:e79811.
https://doi.org/10.7554/eLife.79811

Share this article

https://doi.org/10.7554/eLife.79811

Further reading

    1. Cancer Biology
    2. Computational and Systems Biology
    Aurélie Anne-Gaëlle Gabriel, Julien Racle ... David Gfeller
    Research Advance

    Assay for Transposase-Accessible Chromatin sequencing (ATAC-Seq) is a widely used technique to explore gene regulatory mechanisms. For most ATAC-Seq data from healthy and diseased tissues such as tumors, chromatin accessibility measurement represents a mixed signal from multiple cell types. In this work, we derive reliable chromatin accessibility marker peaks and reference profiles for most non-malignant cell types frequently observed in the microenvironment of human tumors. We then integrate these data into the EPIC deconvolution framework (Racle et al., 2017) to quantify cell-type heterogeneity in bulk ATAC-Seq data. Our EPIC-ATAC tool accurately predicts non-malignant and malignant cell fractions in tumor samples. When applied to a human breast cancer cohort, EPIC-ATAC accurately infers the immune contexture of the main breast cancer subtypes.

    1. Cancer Biology
    2. Immunology and Inflammation
    Akashdip Singh, Alberto Miranda Bedate ... Linde Meyaard
    Research Article

    Despite major successes with inhibitory receptor blockade in cancer, the identification of novel inhibitory receptors as putative drug targets is needed due to lack of durable responses, therapy resistance, and side effects. Most inhibitory receptors signal via immunoreceptor tyrosine-based inhibitory motifs (ITIMs) and previous studies estimated that our genome contains over 1600 ITIM-bearing transmembrane proteins. However, testing and development of these candidates requires increased understanding of their expression patterns and likelihood to function as inhibitory receptor. Therefore, we designed a novel bioinformatics pipeline integrating machine learning-guided structural predictions and sequence-based likelihood models to identify putative inhibitory receptors. Using transcriptomics data of immune cells, we determined the expression of these novel inhibitory receptors, and classified them into previously proposed functional categories. Known and putative inhibitory receptors were expressed across different immune cell subsets with cell type-specific expression patterns. Furthermore, putative immune inhibitory receptors were differentially expressed in subsets of tumour infiltrating T cells. In conclusion, we present an inhibitory receptor pipeline that identifies 51 known and 390 novel human inhibitory receptors. This pipeline will support future drug target selection across diseases where therapeutic targeting of immune inhibitory receptors is warranted.