Evidence map›Paper›PMID 26967564›Full record

ArticleOncotarget2016

A direct quantification method for measuring plasma MicroRNAs identified potential biomarkers for detecting metastatic breast cancer.

Qian Zhao, Shengqiong Deng, Guangxue Wang, Cuicui Liu, Lingyu Meng, Shanshan Qiao, Lei Shen, Yue Zhang, Jinhui Lü, Wenshu Li and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 16% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. MicroRNAs as therapeutic targets in breast cancer metastasis.Drug delivery and translational research · 2022
    Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. MicroRNAs as Potential Biomarkers in Merkel Cell Carcinoma.International journal of molecular sciences · 2018
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

15 authors at 4 institutions in 2 countries.

Qian ZhaoResearch Center for Translational Medicine, Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Shengqiong DengResearch Center for Translational Medicine, Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Guangxue WangResearch Center for Translational Medicine, Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Cuicui LiuShanghai East Hospital, Dalian Medical University, Dalian, China.
Lingyu MengShanghai East Hospital, Dalian Medical University, Dalian, China.
Shanshan QiaoResearch Center for Translational Medicine, Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Lei ShenResearch Center for Translational Medicine, Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Yue ZhangResearch Center for Translational Medicine, Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Jinhui LüSchool of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, China.
Wenshu LiSchool of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, China.
Yuzhen ZhangResearch Center for Translational Medicine, Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Min WangDepartment of Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, USA.
Richard G PestellDepartment of Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, USA.
Chunli LiangResearch Center for Translational Medicine, Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Zuoren YuResearch Center for Translational Medicine, Translational Medical Center for Stem Cell Therapy, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Shanghai East Hospital · CNWenzhou Medical University · CNSidney Kimmel Cancer Center · USDalian Medical University · CN

Funding

X-Ray Crystallography and Macromolecular CharacterizationP30CA056036 · NCI · THOMAS JEFFERSON UNIVERSITY · PI DANIEL P SILVER · 1995 to 2026
$94.8M
Initiation and Maintenance In Mammary TumorigenesisR01CA075503 · NCI · YESHIVA UNIVERSITY · PI PESTELL, RICHARD G · 1998 to 2011
$4.6M
CYCLIN D1 FUNCTION IN PROSTATE CANCERR01CA086072 · NCI · YESHIVA UNIVERSITY · PI PESTELL, RICHARD G · 2001 to 2013
$3.3M
REGULATION OF CYCLIN D1 EXPRESSIONR01CA070896 · NCI · YESHIVA UNIVERSITY · PI PESTELL, RICHARD G · 2000 to 2010
$3.2M
DACH1/Eya Cell fate determination factor and mammary tumorigenesisR01CA132115 · NCI · THOMAS JEFFERSON UNIVERSITY · PI PESTELL, RICHARD G · 2009 to 2018
$3.1M
Cyclin D1 Regulation of Nuclear Receptor Function in Breast CancerR01CA107382 · NCI · THOMAS JEFFERSON UNIVERSITY · PI PESTELL, RICHARD G · 2004 to 2008
$1.6M
NCI NIH HHS P30 CA056036NCI NIH HHS R01 CA070896NCI NIH HHS R01 CA075503NCI NIH HHS R01 CA086072NCI NIH HHS R01 CA107382NCI NIH HHS R01 CA132115
6 · The paper itself

Abstract

Circulating miRNAs are protected from ribonuclease degradation by assembly into microvesicles and exosomes. Releasing miRNAs completely from these particles is the key step to quantify the circulating miRNAs. Currently purified RNA-based quantitative analysis is widely used while it is time and cost consuming with high risk for those circulating miRNAs with low abundance due to partial loss of RNA during the steps of total RNA extraction and small RNA enrichment. Herein, we optimized a simple, effective and time-saving method to directly measure plasma miRNAs without RNA isolation. It is based on complete miRNA release from the protein complexes, followed by miRNA-specific reverse transcription and quantitative real-time PCR amplification. By comparison to the RNA-based approach, the direct quantification method showed more efficiency for circulating miRNA analysis, higher accuracy and specificity. By application of the direct quantification method to clinical samples combined with the RNA-based miRNA screening analysis, upregulation of miR-106a in blood was validated in metastatic breast cancer patients, indicating miR-106a are a potential biomarker for metastatic breast cancer.

Indexed as

Biomarkers, TumorBlood Chemical AnalysisBreast NeoplasmsFemaleHumansMicroRNAsPolymerase Chain ReactionBiomarkers, TumorMicroRNAsbiomarkercirculating miRNAdirect quantificationmetastatic breast cancermiR-106a

Identifiers

PMID26967564
PMCPMC5008329
OpenAlexW2296195250

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.