Evidence map›Paper›PMID 31975570›Full record

ArticleCancer science2020

Replisome genes regulation by antitumor miR-101-5p in clear cell renal cell carcinoma.

Yasutaka Yamada, Nijiro Nohata, Akifumi Uchida, Mayuko Kato, Takayuki Arai, Shogo Moriya, Keiko Mizuno, Satoko Kojima, Kazuto Yamazaki, Yukio Naya and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 26 citations in OpenAlex.

  1. Targeting miRNAs in renal cell carcinoma: emerging therapeutic strategies.International journal of clinical oncology · 2025
    Review
  2. Article
  3. Article
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  10. A Review of Recent Research on the Role of MicroRNAs in Renal Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. MicroRNA Signature in Renal Cell Carcinoma.Frontiers in oncology · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Yasutaka YamadaDepartment of Functional Genomics, Chiba University Graduate School of Medicine, Chiba, Japan.ORCID https://orcid.org/0000-0002-0070-1590
Nijiro NohataMSD K.K., Tokyo, Japan.ORCID https://orcid.org/0000-0002-6816-2984
Akifumi UchidaDepartment of Pulmonary Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Mayuko KatoDepartment of Functional Genomics, Chiba University Graduate School of Medicine, Chiba, Japan.
Takayuki AraiDepartment of Functional Genomics, Chiba University Graduate School of Medicine, Chiba, Japan.ORCID https://orcid.org/0000-0002-3888-9576
Shogo MoriyaDepartment of Biochemistry and Genetics, Chiba University Graduate School of Medicine, Chiba, Japan.
Keiko MizunoDepartment of Pulmonary Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Satoko KojimaDepartment of Urology, Teikyo University Chiba Medical Center, Ichihara, Japan.
Kazuto YamazakiDepartment of Pathology, Teikyo University Chiba Medical Center, Ichihara, Japan.
Yukio NayaDepartment of Urology, Teikyo University Chiba Medical Center, Ichihara, Japan.
Tomohiko IchikawaDepartment of Urology, Chiba University Graduate School of Medicine, Chiba, Japan.
Naohiko SekiDepartment of Functional Genomics, Chiba University Graduate School of Medicine, Chiba, Japan.
Chiba University · JPTeikyo University Chiba Medical Center · JPKagoshima University · JPMSD K.K. (Japan) · JP

Funding

KAKENHI grant 16H05462KAKENHI grant 17K11160KAKENHI grant 18K09338KAKENHI grant 18K16685KAKENHI grant 18K16723KAKENHI grant 18K16724
6 · The paper itself

Abstract

Analysis of microRNA (miRNA) regulatory networks is useful for exploring novel biomarkers and therapeutic targets in cancer cells. The Cancer Genome Atlas dataset shows that low expression of both strands of pre-miR-101 (miR-101-5p and miR-101-3p) significantly predicted poor prognosis in clear cell renal cell carcinoma (ccRCC). The functional significance of miR-101-5p in cancer cells is poorly understood. Here, we focused on miR-101-5p to investigate the antitumor function and its regulatory networks in ccRCC cells. Ectopic expression of mature miRNAs or siRNAs was investigated in cancer cell lines to characterize cell function, ie, proliferation, apoptosis, migration, and invasion. Genome-wide gene expression and in silico database analyses were undertaken to predict miRNA regulatory networks. Expression of miR-101-5p caused cell cycle arrest and apoptosis in ccRCC cells. Downstream neighbor of son (DONSON) was directly regulated by miR-101-5p, and its aberrant expression was significantly associated with shorter survival in propensity score-matched analysis (P = .0001). Knockdown of DONSON attenuated ccRCC cell aggressiveness. Several replisome genes controlled by DONSON and their expression were closely associated with ccRCC pathogenesis. The antitumor miR-101-5p/DONSON axis and its modulated replisome genes might be a novel diagnostic and therapeutic target for ccRCC.

Indexed as

AgedApoptosisCarcinoma, Renal CellCell Cycle ProteinsCell Line, TumorCell MovementCell ProliferationFemaleGene Expression Regulation, NeoplasticGene Knockdown TechniquesHumansMaleMicroRNAsMiddle AgedNuclear ProteinsRNA InterferenceCell Cycle ProteinsDONSON protein, humanMicroRNAsMIRN101 microRNA, humanNuclear ProteinsDONSONmicroRNAmiR-101-5prenal cell carcinomareplisome

Identifiers

PMID31975570
PMCPMC7156888
OpenAlexW3002561939

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.