Evidence map›Paper›PMID 32556891›Full record

ArticlePathology oncology research : POR2020

A Three-microRNA Panel in Serum: Serving as a Potential Diagnostic Biomarker for Renal Cell Carcinoma.

Guocheng Huang, Xinji Li, Zebo Chen, Jingyao Wang, Chunduo Zhang, Xuan Chen, Xiqi Peng, Kaihao Liu, Liwen Zhao, Yongqing Lai and 1 more

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Pathology oncology research : POR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

16 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Patterns of miRNA Expression in Primary and Metastatic Wilms Tumor.Medical science monitor : international medical journal of experimental and clinical research · 2026
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  15. Epigenetic Biomarkers of Renal Cell Carcinoma for Liquid Biopsy Tests.International journal of molecular sciences · 2021
    Review
  16. 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

11 authors at 3 institutions in 1 country.

Guocheng HuangGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, Guangdong, 518036, Shenzhen, People's Republic of China.
Xinji LiGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, Guangdong, 518036, Shenzhen, People's Republic of China.
Zebo ChenGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, Guangdong, 518036, Shenzhen, People's Republic of China.
Jingyao WangGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, Guangdong, 518036, Shenzhen, People's Republic of China.
Chunduo ZhangGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, Guangdong, 518036, Shenzhen, People's Republic of China.
Xuan ChenGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, Guangdong, 518036, Shenzhen, People's Republic of China.
Xiqi PengGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, Guangdong, 518036, Shenzhen, People's Republic of China.
Kaihao LiuGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, Guangdong, 518036, Shenzhen, People's Republic of China.
Liwen ZhaoGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, Guangdong, 518036, Shenzhen, People's Republic of China.
Yongqing LaiGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, Guangdong, 518036, Shenzhen, People's Republic of China. yqlord@163.com.
Liangchao NiGuangdong and Shenzhen Key Laboratory of Male Reproductive Medicine and Genetics, Peking University Shenzhen Hospital, Guangdong, 518036, Shenzhen, People's Republic of China. lncord@163.com.
Peking University Shenzhen Hospital · CNShantou University · CNShantou University Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRenal cell carcinoma (RCC) accounts for about 120,000 death each year. Although surgery is a routine treatment, RCC could be fatal if not diagnosed at an early stage. This study aims to search for suitable serum biomarkers and construct a miRNA panel with high diagnostic sensitivity or specificity.

methodsTotally 146 RCC patients and 150 normal control were involved in this three-stage study. Serum expression levels of 30 miRNAs selected from literature were tested by reverse transcription quantitative PCR (RT-qPCR) in the screening stage, the testing stage, and the validation stage. The diagnostic efficiency of miRNAs was evaluated by receiver operating characteristic (ROC) curve and area under curve (AUC) analysis. A panel with the highest diagnostic efficiency was constructed by backward stepwise logistic regression analysis. Additionally, bioinformatics analysis was used to investigate potential biological functions and mechanisms of candidate miRNAs.

resultsMiR-224-5p, miR-34b-3p, miR-129-2-3p and miR-182-5p with low to moderate diagnostic ability (AUC = 0.692, 0.778, 0.687 and 0.745, respectively) were selected as candidate miRNAs after the three-stage study. The final diagnostic panel was consisted by miR-224-5p, miR-34b-3p and miR-182-5p with AUC = 0.855. No significance has been found between these four miRNAs and tumor location, Fuhrman Grade and AJCC clinical stages of RCC. Bioinformatic analysis suggested that the three-miRNAs panel may participate in tumorigenesis of RCC by targeting CORO1C.

conclusionsThe three-miRNA panel in serum could serve as a non-invasive diagnostic biomarker of RCC.

Indexed as

AdultAgedBiomarkers, TumorCarcinoma, Renal CellCirculating MicroRNAFemaleHumansKidney NeoplasmsMaleMicroRNAsMiddle AgedBiomarkers, TumorCirculating MicroRNAMicroRNAsMirn182 microRNA, humanMIRN224 microRNA, humanMIRN34 microRNA, humanBiomarkerNon-invasiveRenal cell carcinomaSerum miRNA

Identifiers

PMID32556891
OpenAlexW3035812214

What OpenQuestion holds

Textmetadata
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.