Evidence map›Paper›PMID 37752167›Full record

ArticleScientific reports2023

Identification and verification of microtubule associated genes in lung adenocarcinoma.

YuHui Wei, CaiZhen Yang, JinMei Wei, WenTao Li, YuanWen Qin, GuangNan Liu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. The role and therapeutic value of NUSAP1 in human cancers.Journal of translational medicine · 2025
    Review
  2. Review
  3. Article
  4. Emerging role of MYB transcription factors in cancer drug resistance.Cancer drug resistance (Alhambra, Calif.) · 2024
    Review
  5. 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

6 authors at 1 institution in 1 country.

YuHui WeiDepartment of Respiratory and Critical Care, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
CaiZhen YangDepartment of Respiratory and Critical Care, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
JinMei WeiDepartment of Respiratory and Critical Care, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
WenTao LiDepartment of Respiratory and Critical Care, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
YuanWen QinDepartment of Respiratory and Critical Care, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
GuangNan LiuDepartment of Respiratory and Critical Care, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China. gnliu63@hotmail.com.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Associated with high morbidity and mortality, lung adenocarcinoma (LUAD) is lacking in effective prognostic prediction and treatment. As chemotherapy drugs commonly used in clinics, microtubule-targeting agents (MTAs) are limited by high toxicity and drug resistance. This research aimed to analyze the expression profile of microtubule-associated genes (MAGs) in LUAD and explore their therapy efficiency and impact on prognosis. Key MAGs were identified as novel molecular targets for targeting microtubules. The LUAD project in The Cancer Genome Atlas (TCGA) database was used to identify differently expressed MAGs. On the one hand, a microtubule-related prognostic signature was constructed and validated, and its links with clinical characteristics and the immune microenvironment were analyzed. On the other hand, hub MAGs were obtained by a protein-protein interaction (PPI) network. Following the expression of hub MAGs, patients with LUAD were classified into two molecular subtypes. A comparison was made of the differences in half-maximal drug inhibitory concentration (IC50) and tumor mutational burden (TMB) between groups. In addition, the influence of MAGs on the anticancer efficacy of different therapies was explored. MAGs, which were included in both the prognosis signature and hub genes, were considered to have great value in prognosis and targeted therapy. They were identified by quantitative real-time polymerase chain reaction (qRT-PCR). A total of 154 differently expressed MAGs were discovered. For one thing, a microtubule-related prognostic signature based on 14 MAGs was created and identified in an external validation cohort. The prognostic signature was used as an independent prognostic factor. For another, 45 hub MAGs were obtained. In accordance with the expression profile of 45 MAGs, patients with LUAD were divided into two subtypes. Distinct differences were observed in TMB and IC50 values of popular chemotherapy and targeted drugs between subtypes. Finally, five genes were included in both the prognosis signature and hub genes, and identified by qRT-PCR. A microtubule-related prognosis signature that can serve as an independent prognostic factor was constructed. Microtubule subtype influenced the efficacy of different treatments and could be used to guide therapy selection. In this research, five key MAGs, including MYB proto-oncogene like 2 (MYBL2), nucleolar and spindle-associated protein 1 (NUSAP1), kinesin family member 4A (KIF4A), KIF15 and KIF20A, were verified and identified. They are promising biomarkers and therapeutic targets in LUAD.

Indexed as

Adenocarcinoma of LungLung NeoplasmsGenes, cdcHumansKinesinsMicrotubule-Associated ProteinsMicrotubulesTumor MicroenvironmentKIF15 protein, humanKIF4A protein, humanKinesinsMicrotubule-Associated Proteins

Identifiers

PMID37752167
PMCPMC10522656
OpenAlexW4387043909

What Socratic 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 Socratic graph.