Evidence map›Paper›PMID 36360168›Full record

ArticleGenes2022

Integrated Tissue and Blood miRNA Expression Profiles Identify Novel Biomarkers for Accurate Non-Invasive Diagnosis of Breast Cancer: Preliminary Results and Future Clinical Implications.

Fei Su, Ziyu Gao, Yueyang Liu, Guiqin Zhou, Ying Cui, Chao Deng, Yuyu Liu, Yihao Zhang, Xiaoyan Ma, Yongxia Wang and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. MiRNAs in Hematopoiesis and Acute Lymphoblastic Leukemia.International journal of molecular sciences · 2023
    Review
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

13 authors at 2 institutions in 1 country.

Fei SuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Ziyu GaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yueyang LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Guiqin ZhouDepartment of Immunology, Harbin Medical University, Harbin 150081, China.
Ying CuiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0002-0236-1710
Chao DengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yuyu LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yihao ZhangDepartment of Anatomy, Harbin Medical University, Harbin 150081, China.
Xiaoyan MaDepartment of Anatomy, Harbin Medical University, Harbin 150081, China.
Yongxia WangDepartment of Anatomy, Harbin Medical University, Harbin 150081, China.
Lili GuanDepartment of Information Management, Shanghai Lixin University of Accounting and Finance, Shanghai 200000, China.
Yafang ZhangDepartment of Anatomy, Harbin Medical University, Harbin 150081, China.
Baoquan LiuDepartment of Anatomy, Harbin Medical University, Harbin 150081, China.
Harbin Medical University · CNShanghai Lixin University of Accounting and Finance · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to identify miRNAs that were closely related to breast cancer (BRCA). By integrating several methods including significance analysis of microarrays, fold change, Pearson's correlation analysis,

Indexed as

Breast NeoplasmsMicroRNAsBiomarkersCarcinogenesisFemaleHumansPrognosisBiomarkersMicroRNAsMIRN139 microRNA, humanbloodbreast cancerdiagnostic markerprimary synergy miRNAtissue

Identifiers

PMID36360168
PMCPMC9690091
OpenAlexW4307548062

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.