Evidence map›Paper›PMID 34136488›Full record

ArticleFrontiers in cell and developmental biology2021

Identification of Epithelial-Mesenchymal Transition-Related Prognostic lncRNAs Biomarkers Associated With Melanoma Microenvironment.

Bo Xiao, Liyan Liu, Zhuoyuan Chen, Aoyu Li, Pingxiao Wang, Cheng Xiang, Yi Zeng, Hui Li, Tao Xiao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
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  10. Signal pathways of melanoma and targeted therapy.Signal transduction and targeted therapy · 2021
    Review
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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 at 2 institutions in 1 country.

Bo XiaoDepartment of Orthopedics, Second Xiangya Hospital, Central South University, Changsha, China.
Liyan LiuDepartment of Orthopedics, Second Xiangya Hospital, Central South University, Changsha, China.
Zhuoyuan ChenDepartment of Orthopedics, Second Xiangya Hospital, Central South University, Changsha, China.
Aoyu LiDepartment of Orthopedics, Second Xiangya Hospital, Central South University, Changsha, China.
Pingxiao WangDepartment of Orthopedics, Second Xiangya Hospital, Central South University, Changsha, China.
Cheng XiangDepartment of Orthopedics, Second Xiangya Hospital, Central South University, Changsha, China.
Yi ZengDepartment of Orthopedics, Second Xiangya Hospital, Central South University, Changsha, China.
Hui LiDepartment of Orthopedics, Second Xiangya Hospital, Central South University, Changsha, China.
Tao XiaoDepartment of Orthopedics, Second Xiangya Hospital, Central South University, Changsha, China.
Central South University · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma is the most common cancer of the skin, associated with a worse prognosis and distant metastasis. Epithelial-mesenchymal transition (EMT) is a reversible cellular biological process that plays significant roles in diverse tumor functions, and it is modulated by specific genes and transcription factors. The relevance of EMT-related lncRNAs in melanoma has not been determined. Therefore, RNA expression data and clinical features were collected from the TCGA database (

Indexed as

epithelial to mesenchymal transitionlncRNAmelanomaprognostictumor microenvironment

Identifiers

PMID34136488
PMCPMC8201078
OpenAlexW3168597221

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.