Evidence map›Paper›PMID 36499051›Full record

ArticleInternational journal of molecular sciences2022

Evaluating the Expression and Prognostic Value of Genes Encoding Microtubule-Associated Proteins in Lung Cancer.

Natsaranyatron Singharajkomron, Varalee Yodsurang, Suthasinee Seephan, Sakkarin Kungsukool, Supinda Petchjorm, Nara Maneeganjanasing, Warunyu Promboon, Wadsana Dangwilailuck, Varisa Pongrakhananon

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. 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
1.7field-weighted citation impact, top 15% 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, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Adunctin E fromInternational journal of molecular sciences · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. 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

9 authors at 2 institutions in 1 country.

Natsaranyatron SingharajkomronDepartment of Pharmacology and Physiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok 10330, Thailand.
Varalee YodsurangDepartment of Pharmacology and Physiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok 10330, Thailand.ORCID 0000-0002-3622-532X
Suthasinee SeephanPharmaceutical Sciences and Technology Graduate Program, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok 10330, Thailand.
Sakkarin KungsukoolRespiratory Medicine Department, Central Chest Institute of Thailand, Muang District, Nonthaburi 11000, Thailand.
Supinda PetchjormDivision of Anatomical Pathology, Central Chest Institute of Thailand, Muang District, Nonthaburi 11000, Thailand.
Nara ManeeganjanasingDepartment of Pharmacology and Physiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok 10330, Thailand.
Warunyu PromboonDepartment of Pharmacology and Physiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok 10330, Thailand.
Wadsana DangwilailuckDepartment of Pharmacology and Physiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok 10330, Thailand.
Varisa PongrakhananonDepartment of Pharmacology and Physiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok 10330, Thailand.ORCID 0000-0002-2220-0842
Chulalongkorn University · THCentral Chest Institute of Thailand · TH

Funding

National Research Council of Thailand N41A640133The Second Century Fund (C2F), Chulalongkorn University, Thailand
6 · The paper itself

Abstract

Microtubule-associated proteins (MAPs) play essential roles in cancer development. This study aimed to identify transcriptomic biomarkers among MAP genes for the diagnosis and prognosis of lung cancer by analyzing differential gene expressions and correlations with tumor progression. Gene expression data of patients with lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) from the Cancer Genome Atlas (TCGA) database were used to identify differentially expressed MAP genes (DEMGs). Their prognostic value was evaluated by Kaplan-Meier and Cox regression analysis. Moreover, the relationships between alterations in lung cancer hallmark genes and the expression levels of DEMGs were investigated. The candidate biomarker genes were validated using three independent datasets from the Gene Expression Omnibus (GEO) database and by quantitative reverse transcription polymerase chain reaction (qRT-PCR) on clinical samples. A total of 88 DEMGs were identified from TCGA data. The 20 that showed the highest differential expression were subjected to association analysis with hallmark genes. Genetic alterations in

Indexed as

Adenocarcinoma of LungCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellLung NeoplasmsBiomarkers, TumorGene Expression Regulation, NeoplasticHumansKinesinsMicrotubule-Associated ProteinsNIMA-Related KinasesPrognosisBiomarkers, TumorKIF18B protein, humanKIF4A protein, humanKinesinsMicrotubule-Associated ProteinsNEK2 protein, humanNIMA-Related Kinasesdiagnosisgene expressionlung cancermicrotubule-associated proteinsprognosis

Identifiers

PMID36499051
PMCPMC9738182
OpenAlexW4310036708

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.