Cited by 87MicroRNA in disease regulationCancer-related molecular mechanisms researchPlant Molecular Biology Research

microRNA arm-imbalance in part from complementary targets mediated decay promotes gastric cancer progression

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Zhang, Zhengyi, Pi, Jingnan, Zou, Dongling, Wang, Xiaoshuang, Xu, Jiayue, Yu, Shan, Zhang, Ting, Li, Feng +6 more·2019·Nature Communications

Abstract

Strand-selection is the final step of microRNA biogenesis in which functional mature miRNAs are generated from one or both arms of precursor. The preference of strand-selection is diverse during development and tissue formation, however, its pathological effect is still unknown. Here we find that two miRNA arms from the same precursor, miR-574-5p and miR-574-3p, are inversely expressed and play exactly opposite roles in gastric cancer progression. Higher-5p with lower-3p expression pattern is significantly correlated with higher TNM stages and poor prognosis of gastric cancer patients. The increase of miR-574-5p/-3p ratio, named miR-574 arm-imbalance is partially due to the dynamic expression of their highly complementary targets in gastric carcinogenesis, moreover, the arm-imbalance of miR-574 is in turn involved and further promotes gastric cancer progression. Our results indicate that miR-574 arm-imbalance contribute to gastric cancer progression and re-modification of the miR-574-targets homeostasis may represent a promising strategy for gastric cancer therapy.

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  • Both arms of miR-33b can have similar or opposite functions.

    “In some cases, they have similar function while in some cases; they work opposite (19).”

    From miR-33b-3p Acts as a Tumor Suppressor by Targeting DOCK4 in Prostate Cancer (2021) · cites this paper as [19]

    The Discussion says that the two arms of a miRNA can have similar or different functions, and the Results demonstrate opposite functions for the two arms of miR-574 in gastric cancer. The Results section on expression patterns mentions miR-33b but does not establish whether its two arms have similar or opposite functions; the miR-33b-specific claim is unsupported. (LLM, conf=0.87)

    Experimental — accuracy not yet measured
  • In gastric cancer, both arms of miR-574, miR-219 and miR-369 are readily detectable.

    “In gastric cancer, both arms of miR‐574, miR‐219 and miR‐369 are readily detectable (Zhang et al., 2019), (Table 1).”

    From microRNA strand selection: Unwinding the rules (2021) · cites this paper as Zhang et al., 2019

  • miR-574* (5p) targets QKI6 (Quaking), while miR-574-3p targets ACVR1B, and depleting one miRNA strand's target phenocopies the loss of the other miRNA strand in gastric cancer cells.

    “miR‐574* (5p) targets QKI6 (Quaking), while miR‐574‐3p targets ACVR1B (activin receptor type‐1), and depleting one miRNA strand's target phenocopies the loss of the other miRNA strand in gastric cancer cells (Zhang et al., 2019).”

    From microRNA strand selection: Unwinding the rules (2021) · cites this paper as Zhang et al., 2019

  • High expression of miR-574* (5p) is associated with advanced gastric cancer stages.

    “High expression of miR‐574* (5p) is associated with advanced gastric cancer stages (Zhang et al., 2019).”

    From microRNA strand selection: Unwinding the rules (2021) · cites this paper as Zhang et al., 2019

  • Over one-third of the genes regulated by miR-574-3p and miR-574-5p overlap, highlighting that although each strand contains a unique seed sequence, there can be substantial shared targets of the two strands.

    “Interestingly, over one‐third of the genes regulated by miR‐574‐3p and miR‐574‐5p overlap, highlighting that although each strand contains a unique seed sequence, there can be substantial shared targets of the two strands (Zhang et al., 2019).”

    From microRNA strand selection: Unwinding the rules (2021) · cites this paper as Zhang et al., 2019

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Authors
Zhang, Z., Pi, J., Zou, D., Wang, X., Xu, J., Yu, S., Zhang, T., Li, F., Zhang, X., Zhao, H., Wang, F., Wang, D., Ma, Y., & Yu, J.
Affiliations
  • Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
  • Chongqing University (CN)
  • Chinese Academy of Sciences (CN)
  • Southern Medical University (CN)
Corresponding author
  • Wang, Dong
  • Ma, Yanni
  • Yu, Jia
Venue
Nature Communications
Published
2019-09-27
Volume
10
Issue
1
Pages
4397-4397
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2975869948
Cited by
87
References
0
Citations by year
2025: 6 · 2024: 6 · 2023: 11 · 2022: 19 · 2021: 24 · 2020: 20 · 2019: 1
FWCI
5.06
Type
journal article
Language
en
Open access
Locations
  • Nature Communications (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by)
Funders
  • Chinese Ministry of Science and Technology | Department of S and T for Social Development (2016YFA0100601;2016YFA0100103)
  • National Natural Science Foundation of China (81530007;31725013;31571523;31771444)
  • Beijing Municipal Science and Technology Commission (2016B492)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Molecular Biology Research
Keywords
miR-574-5p, miR-574-3p, gastric cancer progression, microRNA biogenesis, TNM stage, prognosis, cancer therapy
MeSH terms
RNAi Therapeutics, Animals, Cell Movement, Female, Humans, Male, Mice, Inbred BALB C, Middle Aged, Stomach Neoplasms, Gene Expression Regulation, Neoplastic, Mice, SCID, Mice, Inbred NOD, Disease Progression, Gene Expression Profiling, Xenograft Model Antitumor Assays, RNA Interference, MicroRNAs, Cell Line, Tumor, Cell Proliferation

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