Evidence map›Paper›PMID 37199297›Full record

ArticleCancer science2023

Integrated analysis identifies microRNA-188-5p as a suppressor of AKT/mTOR pathway in renal cancer.

Hui Shen, Jing Jin, Hang Wang, Nanxi Yu, Tingting Liu, Han Sheng, Zhijie Wan, Chao Feng, Yijuan Huang, Fu Gao

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Molecular Morbidity Score-Can MicroRNAs Assess the Burden of Disease?International journal of molecular sciences · 2024
    Review
  3. Article
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

10 authors at 4 institutions in 2 countries.

Hui ShenDepartment of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China.ORCID https://orcid.org/0000-0001-5354-7374
Jing JinDepartment of Occupational and Environment Health, Xiangya School of Public Health, Central South University, Changsha, China.ORCID https://orcid.org/0000-0001-8285-498X
Hang WangDepartment of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China.
Nanxi YuSchool of Public Health and Management, Wenzhou Medical University, University Town, Wenzhou, China.
Tingting LiuDepartment of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China.
Han ShengDepartment of Central Laboratory, The First Affiliated Hospital of Jiaxing University, Jiaxing, China.
Zhijie WanDepartment of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China.
Chao FengInstitutes for Translational Medicine, State Key Laboratory of Radiation Medicine and Protection, Medical College of Soochow University, Suzhou, China.
Yijuan HuangDepartment of Central Laboratory, The First Affiliated Hospital of Jiaxing University, Jiaxing, China.
Fu GaoDepartment of Radiation Medicine, Faculty of Naval Medicine, Naval Medical University, Shanghai, China.
Jiaxing University · CNCentral South University · CNUniversity of Rome Tor Vergata · ITWenzhou Medical University · CN

Funding

2023 Jiaxing Key Discipline of Medicine-Clinical Laboratory Diagnostics 2023-ZC-002National Natural Science Foundation of China 11635014National Natural Science Foundation of China 81972968National Natural Science Foundation of China 82003387Science and Technology Project of Jiaxing City 2020AY30010Science and Technology Project of Jiaxing City 2022AY30015Zhejiang Provincial Natural Science Foundation of China LQ23H220001
6 · The paper itself

Abstract

Many current microRNA (miRNA) expression datasets for renal cell carcinoma (RCC) often show inconsistent analysis results, so a shift to comprehensive analysis of multiple datasets can effectively accelerate molecular screening for precision medicine and translational medicine research. MicroRNA (miR)-188-5p is a clinically noteworthy miRNA whose aberrant expression was previously observed in a variety of cancers, but its role in RCC is unclear. In this study, we undertook a comprehensive analysis of four RCC miRNA expression datasets and validated the results using The Cancer Genome Atlas (TCGA) dataset and a cohort of collected clinical samples. Fifteen miRNAs were identified as potential diagnostic markers by the analysis of four RCC miRNAs datasets. Analysis of the TCGA kidney renal clear cell carcinoma dataset showed significantly shorter survival in RCC patients with reduced miR-188-5p expression levels, and our collection of RCC clinical samples showed low miR-188-5p expression in the tumors. Overexpression of miR-188-5p in Caki-1 and 786-O cells inhibited cell growth, colony formation, invasion, and migration. In contrast, miR-188-5p inhibitors reversed these cell phenotypes. We identified a binding site for miR-188-5p in the 3'-UTR region of myristoylated alanine-rich C-kinase substrate (MARCKS) mRNA and demonstrated an interaction between these two molecules. Quantitative RT-PCR and western blot analysis revealed that miR-188-5p could regulate the AKT/mTOR signaling pathway through MARCKS. Mouse transplantation tumor assay indicated that miR-188-5p reduced the tumorigenicity of RCC in vivo. MicroRNA-188-5p could be a valuable new molecule for RCC diagnosis and prognosis.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsMicroRNAsAnimalsCell Line, TumorCell ProliferationGene Expression Regulation, NeoplasticMiceProto-Oncogene Proteins c-aktTOR Serine-Threonine KinasesMicroRNAsProto-Oncogene Proteins c-aktTOR Serine-Threonine KinasesAKT/mTOR pathwaybiomarkerHsa-miRNA-188-5p (miR-188-5p)MARCKSprognosisrenal cell carcinoma (RCC)

Identifiers

PMID37199297
PMCPMC10394144
OpenAlexW4377011109

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.