Evidence map›Paper›PMID 31270041›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2019

[Identification of differentially expressed genes between lung adenocarcinoma and squamous cell carcinoma using transcriber signature analysis].

Shuxian Peng, Xun Li, Qin Liu, Yingheng Zhang, Liming Zou, Xiaoli Gong, Miaomiao Wang, Xiaodong Ma

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 82% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 1 institution in 1 country.

Shuxian PengResearch Center of Basic Integrative Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.
Xun LiInstitute for Brain Research and Rehabilitation/Guangdong Key Laboratory of Mental Health and Cognitive Science/Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China.
Qin LiuInstitute for Brain Research and Rehabilitation/Guangdong Key Laboratory of Mental Health and Cognitive Science/Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China.
Yingheng ZhangResearch Center of Basic Integrative Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.
Liming ZouInstitute for Brain Research and Rehabilitation/Guangdong Key Laboratory of Mental Health and Cognitive Science/Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China.
Xiaoli GongInstitute for Brain Research and Rehabilitation/Guangdong Key Laboratory of Mental Health and Cognitive Science/Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China.
Miaomiao WangInstitute for Brain Research and Rehabilitation/Guangdong Key Laboratory of Mental Health and Cognitive Science/Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China.
Xiaodong MaInstitute for Brain Research and Rehabilitation/Guangdong Key Laboratory of Mental Health and Cognitive Science/Center for Studies of Psychological Application, South China Normal University, Guangzhou 510631, China.
Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the differentially expressed genes (DEGs) between lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) with bioinformatics analysis and search for potential biomarkers for clinical diagnosis of nonsmall cell lung cancer (NSCLC).

methodsThe gene expression profiling datasets of LUAD and LUSC were acquired. The transcriptome differences between LUAD and LUSC were identified using R language processing and t-test analysis. The differential expressions of the genes were shown by Venn diagram. The DEGs identified by GEO2R were analyzed with DAVID and Ingenuity Pathway Analysis (IPA) to identify the signaling pathways and biomarkers that could be used for differential diagnosis of LUAD and LUSC. The TCGA data and the biomarker expression data from clinical lung cancer samples were used to verify the differential expressions of the Osteoarthritis pathway and LXR/RXR between LUAD and LUSC. We further examined the differential expressions of miR-181 and its two target genes,

resultsGEO data analysis identified 851 DEGs (including 276 up-regulated and 575 down-regulated genes) in LUAD and 885 DEGs (including 406 up-regulated and 479 down-regulated genes) in LUSC. DAVID and IPA analysis revealed that leukocyte migration and inflammatory responses were more abundant in LUAD than in LUSC. Osteoarthritis pathway was inhibited in LUAD and activated in LUSC. IPA analysis showed that transcription factors (GATA4, RELA, YBX1, TP63 and MBD2), cytokines (WNT5A and IL1A) and microRNAs (miR-34a, miR-181b and miR-15a) differed significantly between LUAD and LUSC. miR-34a with IL-1A, miR-15a with YBX1, and miR-181b with WNT5A and MBD2 could serve as the paired microRNA and mRNA targets for differential diagnosis of NSCLC subtypes. Analysis of the clinical samples showed an increased expression of miR-181b-5p and the down-regulation of WNT5A, which could be used as molecular markers for the diagnosis of LUSC.

conclusionsThrough transcriptome analysis, we identified candidate genes, paired microRNAs and pathways for differentiating LUAD and LUSC, and they can provide novel differential diagnosis and therapeutic strategies for LUAD and LUSC.

Indexed as

Adenocarcinoma of LungCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellLung NeoplasmsHumansMicroRNAsY-Box-Binding Protein 1MicroRNAsY-Box-Binding Protein 1YBX1 protein, humanlung adenocarcinomalung squamous cell carcinomamicroRNAsmRNAtranscriptome signature

Identifiers

PMID31270041
PMCPMC6743921
OpenAlexW3025196057

What OpenQuestion holds

Textmetadata
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.