Evidence map›Paper›PMID 31943775›Full record

ArticleJournal of cellular and molecular medicine2020

Expression signature of six-snoRNA serves as novel non-invasive biomarker for diagnosis and prognosis prediction of renal clear cell carcinoma.

Yanyun Zhao, Yuanyuan Yan, Rong Ma, Xuemei Lv, Liwen Zhang, Jinlong Wang, Wenjing Zhu, Lan Zhao, Longyang Jiang, Lin Zhao and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

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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

16 authors at 3 institutions in 2 countries.

Yanyun ZhaoDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Yuanyuan YanDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Rong MaDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Xuemei LvDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Liwen ZhangDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Jinlong WangDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Wenjing ZhuDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Lan ZhaoDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Longyang JiangDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Lin ZhaoDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Lijie WenUrology Department, The Second Hospital of Dalian Medical University, Dalian, China.
Bo YangUrology Department, The Second Hospital of Dalian Medical University, Dalian, China.
Yuzong ChenBioinformatics and Drug Design Group, Department of Pharmacy, National University of Singapore, Singapore City, Singapore.
Miao HeDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Mingyan LiuDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Minjie WeiDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.ORCID 0000-0002-0404-7098
China Medical University · CNDalian Medical University · CNNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence has verified that small nucleolar RNAs (snoRNAs) play significant roles in tumorigenesis and exhibit prognostic value in clinical practice. In the study, we analysed the expression profile and clinical relevance of snoRNAs from TCGA database including 530 ccRCC (clear cell renal cell carcinoma) and 72 control cases. By using univariate and multivariate Cox analysis, we established a six-snoRNA signature and divided patients into high-risk or low-risk groups. We found patients in high-risk group had significantly shorter overall survival and recurrence-free survival than those in low-risk group in test series, validation series and entire series by Kaplan-Meier analysis. We also confirmed this signature had a great accuracy and specificity in 64 clinical tissue cases and 50 serum samples. Then, depending on receiver operating characteristic curve analysis we found the six-snoRNA signature was an superior indicator better than conventional clinical factors (AUC = 0.732). Furthermore, combining the signature with TNM stage or Fuhrman grade were the optimal indicators (AUC = 0.792; AUC = 0.800) and processed the clinical applied value for ccRCC. Finally, we found the SNORA70B and its hose gene USP34 might directly regulate Wnt signalling pathway to promote tumorigenesis in ccRCC. In general, our study established a six-snoRNA signature as an independent and superior diagnosis and prognosis indicator for ccRCC.

Indexed as

Biomarkers, TumorCarcinogenesisCarcinoma, Renal CellCase-Control StudiesHumansKaplan-Meier EstimateKidney NeoplasmsMultivariate AnalysisPrognosisRisk FactorsRNA, Small NucleolarSignal TransductionUbiquitin-Specific ProteasesBiomarkers, TumorRNA, Small NucleolarUbiquitin-Specific Proteasesbiomarkerclear cell renal cell carcinomaoverall survivalprognosticrecurrence-free survivalsnoRNAs

Identifiers

PMID31943775
PMCPMC7011154
OpenAlexW2998954971

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.