Evidence map›Paper›PMID 33118511›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2020

[Spindle assembly checkpoint complex-related genes TTK and MAD2L1 are over-expressed in lung adenocarcinoma: a big data and bioinformatics analysis].

Zhu Liu, Zeqin Guo, Lili Long, Yanpei Zhang, Yuwen Lu, Dehua Wu, Zhongyi Dong

Open access · greenAbstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. [Progress in the Study of Spindle Assembly Checkpoint in Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2023
    Article
  3. 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

7 authors at 2 institutions in 1 country.

Zhu LiuDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Zeqin GuoDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Lili LongDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Yanpei ZhangHepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Yuwen LuDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Dehua WuDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Zhongyi DongDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Nanfang Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo screen the key genes related to the prognosis of lung adenocarcinoma through big data analysis and explore their clinical value and potential mechanism.

methodsWe analyzed GSE18842, GSE27262, and GSE33532 gene expression profile data obtained from the Gene Expression Omnibus (GEO). Bioinformatics methods were used to screen the differentially expressed genes in lung adenocarcinoma tissues and KEGG and GO enrichment analysis was performed, followed by PPI interaction network analysis, module analysis, differential expression analysis, and prognosis analysis. The expressions of MAD2L1 and TTK by immunohistochemistry were verified in 35 non-small cell lung cancer specimens and paired adjacent tissues.

resultsWe identified a total of 256 genes that showed significant differential expressions in lung adenocarcinoma, including 66 up-regulated and 190 down-regulated genes. Thirty-two up-regulated core genes were screened by functional analysis, and among them 29 were shown to significantly correlate with a poor prognosis of patients with lung adenocarcinoma. All the 29 genes were highly expressed in lung adenocarcinoma tissues compared with normal lung tissues and were mainly enriched in cell cycle pathways. Seven of these key genes were closely related to the spindle assembly checkpoint (SAC) complex and responsible for regulating cell behavior in G2/M phase. We selected SAC-related proteins TTK and MAD2L1 to test their expressions in clinical tumor samples, and detected their overexpression in lung adenocarcinoma tissues as compared with the adjacent tissues.

conclusionsSeven SAC complex-related genes, including TTK and MAD2L1, are overexpressed in lung adenocarcinoma tissues with close correlation with the prognosis of the patients.

Indexed as

Adenocarcinoma of LungLung NeoplasmsBig DataCell Cycle ProteinsComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMad2 ProteinsM Phase Cell Cycle CheckpointsProtein Serine-Threonine KinasesProtein-Tyrosine KinasesCell Cycle ProteinsMAD2L1 protein, humanMad2 ProteinsProtein Serine-Threonine KinasesProtein-Tyrosine KinasesTTK protein, humanbioinformatical analysisdifferentially expressed geneslung adenocarcinomasmicroarraynon-small cell lung cancer

Identifiers

PMID33118511
PMCPMC7606241
OpenAlexW3097248734

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