Evidence map›Paper›PMID 28969022›Full record

ArticleOncotarget2017

Plasma exosomal miRNAs-based prognosis in metastatic kidney cancer.

Meijun Du, Karthik V Giridhar, Yijun Tian, Michael R Tschannen, Jing Zhu, Chiang-Ching Huang, Deepak Kilari, Manish Kohli, Liang Wang

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Characterizing the pan-cancer role of exosomal miRNAs in metastasis across cancers.Computational and structural biotechnology journal · 2025
    Article
  7. Article
  8. Characterizing the role of exosomal miRNAs in metastasis.bioRxiv : the preprint server for biology · 2024
    Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Exosomes in the Diagnosis and Treatment of Renal Cell Cancer.International journal of molecular sciences · 2023
    Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. 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

9 authors at 4 institutions in 2 countries.

Meijun Du *Department of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Karthik V Giridhar *Department of Oncology, Mayo Clinic, Rochester, MN, USA.
Yijun TianDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Michael R TschannenHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Jing ZhuDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Chiang-Ching HuangDepartment of Biostatistics, University of Wisconsin, Milwaukee, WI, USA.
Deepak KilariDepartment of Oncology, Medical College of Wisconsin and Milwaukee VA Medical Center, Milwaukee, WI, USA.
Manish KohliDepartment of Oncology, Mayo Clinic, Rochester, MN, USA.
Liang WangDepartment of Pathology and MCW Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA.
Medical College of Wisconsin · USMayo Clinic in Arizona · USTongji Hospital · CNUniversity of Wisconsin–Milwaukee · US

Funding

Genetic determinants of gene expression phenotypes in aggressive prostate cancerR01CA157881 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI WANG, LIANG · 2011 to 2016
$2.9M
NCI NIH HHS R01 CA157881
6 · The paper itself

Abstract

Plasma exosomal miRNAs were evaluated for prognosis in an initial set of 44 metastatic renal cell cancer (mRCC) patients by RNA sequencing. Among ∼3.49 million mappable reads per patient, miRNAs accounted for 93.1% of the mapped RNAs. 227 miRNAs with high abundance were selected for survival analysis. Cox regression analysis identified association of 6 miRNAs with overall survival (OS) (P<0.01, False discovery rate (FDR) < 0.3). Five of the associated miRNAs were quantified in an independent follow-up cohort of 65 mRCC patients by TaqMan-based miRNA assays. Kaplan-Meier analysis confirmed the significant OS association of three miRs; miR-let-7i-5p (P=0.018, HR=0.49, 95% CI=0.21-0.84), miR-26a-1-3p (P=0.025, HR=0.43, 95% CI=0.10-0.84) and miR-615-3p (P=0.0007, HR=0.36, 95% CI=0.11-0.54). A multivariate analysis of miR-let-7i-5p with the clinical factor-based Memorial Sloan-Kettering Cancer Center (MSKCC) score improved survival prediction from an area under the curve (AUC) of 0.58 for MSKCC score to an average AUC of 0.64 across 48-month follow-up time. The multivariate model was able to define a high-risk group with median survival of 14 months and low risk group of 39 months (P=0.0002, HR=3.43, 95%CI, 2.73-24.15). Further validation of miRNA-based prognostic biomarkers are needed to improve current clinic-pathologic based prognostic models in patients with mRCC.

Indexed as

biomarkerexosomal miRNAmetastatic renal cell canceroverall survival

Identifiers

PMID28969022
PMCPMC5609954
OpenAlexW2739137520

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.