Evidence map›Paper›PMID 31212865›Full record

ArticleDiagnostics (Basel, Switzerland)2019

Expressions of HLA Class II Genes in Cutaneous Melanoma Were Associated with Clinical Outcome: Bioinformatics Approaches and Systematic Analysis of Public Microarray and RNA-Seq Datasets.

Yang-Yi Chen, Wei-An Chang, En-Shyh Lin, Yi-Jen Chen, Po-Lin Kuo

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 33 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Yang-Yi ChenGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan. 1050556@kmuh.org.tw.ORCID 0000-0002-8488-635X
Wei-An ChangGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan. 960215kmuh@gmail.com.
En-Shyh LinDepartment of Beauty Science, National Taichung University of Science and Technology, Taichung 403, Taiwan. eslin7620@gmail.com.
Yi-Jen ChenGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan. chernkmu@gmail.com.
Po-Lin KuoGraduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan. kuopolin@seed.net.tw.ORCID 0000-0003-2487-2818
Kaohsiung Medical University · TWNational Sun Yat-sen University · TWNational Taichung University of Science and Technology · TW

Funding

Kaohsiung Medical University KMU-DK 108003Ministry of Science and Technology, Taiwan MOST 107-2320-B-037-011-MY3Ministry of Science and Technology, Taiwan MOST107-2622-E-025-002-CC3
6 · The paper itself

Abstract

Major histocompatibility complex (MHC) class II molecules, encoded by human leukocyte antigen (HLA) class II genes, play important roles in antigen presentation and initiation of immune responses. However, the correlation between HLA class II gene expression level and patient survival and disease progression in cutaneous melanoma is still under investigation. In the present study, we analyzed microarray and RNA-Seq data of cutaneous melanoma from The Cancer Genome Atlas (TCGA) using different bioinformatics tools. Survival analysis revealed higher expression level of HLA class II genes in cutaneous melanoma, especially

Indexed as

bioinformaticscutaneous melanomaHLA class IIMHC class II

Identifiers

PMID31212865
PMCPMC6628136
OpenAlexW2951933297

What OpenQuestion holds

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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.