Evidence map›Paper›PMID 31089825›Full record

ArticleMedical oncology (Northwood, London, England)2019

Identification of candidate diagnostic and prognostic biomarkers for human prostate cancer: RPL22L1 and RPS21.

Zumu Liang, Qingjie Mou, Zhiwei Pan, Qiang Zhang, Guojun Gao, Yingying Cao, Zhiqin Gao, Zhifang Pan, Weiguo Feng

Abstract read
PubMed Publisher
In one paragraph

Article in Medical oncology (Northwood, London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Research Progress of Ribosomal Proteins in Reproductive Development.International journal of molecular sciences · 2024
    Review
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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

9 authors at 1 institution in 1 country.

Zumu LiangCollege of Bioscience and Technology, Weifang Medical University, NO 7166, Baotong ST, Weifang City, 261053, People's Republic of China.
Qingjie MouCollege of Clinical Medical, Weifang Medical University, Weifang, People's Republic of China.
Zhiwei PanLaizhou Development Zone Hospital, Yantai, People's Republic of China.
Qiang ZhangCollege of Bioscience and Technology, Weifang Medical University, NO 7166, Baotong ST, Weifang City, 261053, People's Republic of China.
Guojun GaoAffiliated Hospital of Weifang Medical University, Weifang, People's Republic of China.
Yingying CaoCollege of Clinical Medical, Weifang Medical University, Weifang, People's Republic of China.
Zhiqin GaoCollege of Bioscience and Technology, Weifang Medical University, NO 7166, Baotong ST, Weifang City, 261053, People's Republic of China.
Zhifang PanCollege of Bioscience and Technology, Weifang Medical University, NO 7166, Baotong ST, Weifang City, 261053, People's Republic of China. sdwfpzf@126.com.
Weiguo FengCollege of Bioscience and Technology, Weifang Medical University, NO 7166, Baotong ST, Weifang City, 261053, People's Republic of China. fengwg@wfmc.edu.cn.ORCID http://orcid.org/0000-0003-1366-9208
Weifang Medical University · CN

Funding

Medical and Health Development Plan of Shandong Province 2017WS058Natural Science Foundation of Shandong Province ZR2014CL034Natural Science Foundation of Shandong Province ZR2018MC015Research and Development Plan of University in Shandong Province J18KA120
6 · The paper itself

Abstract

Prostate cancer (PCa) is one of the most common malignancies in men worldwide. This study was designed to investigate the potential of Ribosomal Protein L22-like1 (RPL22L1) and Ribosomal Protein S21 (RPS21) as diagnostic and prognostic biomarkers for PCa. First, RPL22L1 and RPS21 were screened as the key molecular of PCa by bioinformatics analysis. Subsequently, the prostate tissue samples were stained for antibodies against RPL22L1 and RPS21. The unbiased signal quantification was performed by ImageJ software, and the results showed that the expression of RPL22L1 and RPS21 exhibited significant differences between the PCa tissues and the normal prostate tissues. Receiver-operating characteristics (ROC) curves were prepared, and then the area under the curve (AUC) values of RPL22L1 and RPS21 were calculated as 0.798 and 0.768, and the likelihood ratio (LR) values of RPL22L1 and RPS21 were calculated as 2.86 and 2.53. These data implied that the over-expression of RPL22L1 and RPS21 is associated with the presence of PCa. The further analysis suggested that the expression of RPL22L1 and RPS21 were significantly higher in high Gleason grade than they were in low Gleason grade. In addition, in vitro studies were undertaken to evaluate the roles of RPL22L1 and RPS21 in PCa. The results revealed that these genes promote PCa cell proliferation, migration and invasion, and inhibit PCa cell apoptosis. Taken together, these data showed that RPL22L1 and RPS21 exhibited higher expression in human prostate cancer tissue, and involved in PCa cell proliferation and invasion. This research provided a novel insight into diagnostic and prognostic biomarkers for PCa.

Indexed as

ApoptosisBiomarkers, TumorCell Line, TumorCell MovementCell ProliferationGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleNeoplasm GradingNeoplasm InvasivenessPrognosisProstateProstatic NeoplasmsRibosomal ProteinsBiomarkers, TumorRibosomal Proteinsribosomal protein S21RPL22L1 protein, humanBiomarkerExpressionProstate cancerRPL22L1RPS21

Identifiers

PMID31089825
OpenAlexW2945889237

What OpenQuestion holds

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Registered trials

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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.