Evidence map›Paper›PMID 30532596›Full record

ArticleCancer management and research2018

Identification and validation of a four-miRNA (miRNA-21-5p, miRNA-9-5p, miR-149-5p, and miRNA-30b-5p) prognosis signature in clear cell renal cell carcinoma.

Mingzhi Xie, Yufeng Lv, Zhihui Liu, Jingyan Zhang, Chaoyong Liang, Xiaoli Liao, Rong Liang, Yan Lin, Yongqiang Li

Abstract read
In one paragraph

Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Article
  7. The Role of Long Noncoding RNA (lncRNAs) Biomarkers in Renal Cell Carcinoma.International journal of molecular sciences · 2022
    Review
  8. Tumor-Suppressive and Oncogenic Roles of microRNA-149-5p in Human Cancers.International journal of molecular sciences · 2022
    Review
  9. Article
  10. A Review on the Role of miR-149-5p in the Carcinogenesis.International journal of molecular sciences · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Review
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  16. Article
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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.

Mingzhi XieFirst Department of Chemotherapy, Medical Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, P.R. China, lyq702702@126.com.
Yufeng LvDepartment of Oncology, Affiliated Langdong Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, P.R. China.
Zhihui LiuFirst Department of Chemotherapy, Medical Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, P.R. China, lyq702702@126.com.
Jingyan ZhangFirst Department of Chemotherapy, Medical Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, P.R. China, lyq702702@126.com.
Chaoyong LiangFirst Department of Chemotherapy, Medical Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, P.R. China, lyq702702@126.com.
Xiaoli LiaoFirst Department of Chemotherapy, Medical Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, P.R. China, lyq702702@126.com.
Rong LiangFirst Department of Chemotherapy, Medical Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, P.R. China, lyq702702@126.com.
Yan LinFirst Department of Chemotherapy, Medical Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, P.R. China, lyq702702@126.com.
Yongqiang LiFirst Department of Chemotherapy, Medical Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, P.R. China, lyq702702@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeClear cell renal cell carcinoma (ccRCC) is one of the most common cancers with high mortality worldwide. However, biomarkers for predicting prognosis in ccRCC are limited. In this study, we attempted to identify potential prognostic biomarkers of ccRCC.

methodsClinical information and the preprocessed ccRCC mature miRNA expression profiles in The Cancer Genome Atlas database were downloaded from UCSC Xena. The miRNAs differentially expressed between ccRCCs and matched normal tissues were analyzed using the "limma" package. A miRNA-based signature was constructed using the multivariate Cox regression model with prognosis index (PI) formula. Patients with ccRCC were divided into low-risk and high-risk subgroups according to median PI. The survival times were compared between the two groups using Kaplan-Meier analysis with log-rank test. The training set was used to construct a miRNA-based signature for predicting prognosis. The test set was used to verify the signature. Target gene prediction and functional enrichment analysis of the four miRNAs were performed using miRNet.

resultsWe identified four miRNAs, miRNA-21-5p, miRNA-9-5p, miR-149-5p, and miRNA-30b-5p, as independent prognostic indicators. Next, we used these four miRNAs to construct a four-miRNA PI for each patient. Results revealed that patients in the high-risk group (n=119) had significantly shorter survival time than those in the low-risk group (n=118) (high-risk/low-risk group log-rank

conclusionOur observations suggest that the four-miRNA signature correlated with the survival of patients with ccRCC and can be used as a prognostic biomarker of ccRCC.

Indexed as

ccRCCmiRNA signatureoverall survivalprognostic biomarkers

Identifiers

PMID30532596
PMCPMC6245347

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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.