Evidence map›Paper›PMID 38453442›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2024

[Expression of FAT1 in Lung Adenocarcinoma and Its Relationship 
with Immune Cell Infiltration].

Chen Ding, Wenhao Zhao, Hua Huang, Yongwen Li, Zhanrui Zhang, Ruihao Zhang, Yanan Wang, Di Wu, Chen Chen, Hongyu Liu and 1 more

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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, 1 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

11 authors at 1 institution in 1 country.

Chen DingDepartment of Thoracic Surgery, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi 832003, China.
Wenhao ZhaoDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
Hua HuangDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
Yongwen LiTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, 
Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin 300052, China.
Zhanrui ZhangDepartment of Thoracic Surgery, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi 832003, China.
Ruihao ZhangDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
Yanan WangDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
Di WuDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
Chen ChenTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, 
Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin 300052, China.
Hongyu LiuTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, 
Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin 300052, China.
Jun ChenDepartment of Thoracic Surgery, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi 832003, China.
Tianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is a leading cause of cancer-related deaths. Non-small cell lung cancer (NSCLC) is the most common pathological subtype, with adenocarcinoma being the predominant type. FAT atypical cadherin 1 (FAT1) is a receptor-like protein with a high frequency of mutations in lung adenocarcinoma. The protein encoded by FAT1 plays a crucial role in processes such as cell adhesion, proliferation, and differentiation. This study aims to investigate the expression of FAT1 in lung adenocarcinoma and its relationship with immune infiltration.

methodsGene expression levels and relevant clinical information of 513 lung adenocarcinoma samples and 397 adjacent lung samples were obtained through The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) data. The mRNA expression levels of the FAT1 gene in lung adenocarcinoma tissues were analyzed, along with its association with the prognosis of lung adenocarcinoma patients. Pathway enrichment analysis was conducted to explore the signaling pathways regulated by the FAT1 gene. Immunoblotting was used to detect the differential expression of FAT1 in lung epithelial cells and various lung cancer cell lines, while immunohistochemistry was employed to assess FAT1 expression in lung cancer and adjacent tissues.

resultsFAT1 gene mutations were identified in 14% of lung adenocarcinoma patients. TCGA database data revealed significantly higher FAT1 mRNA expression in lung adenocarcinoma tissues compared to adjacent lung tissues. Kaplan-Meier analysis indicated lower survival rates in lung adenocarcinoma patients with higher FAT gene expression. Pathway enrichment analysis suggested the involvement of FAT1 in tumor development pathways, and its expression was closely associated with immune cell infiltration. Immunohistochemical validation demonstrated significantly higher expression of FAT1 in cancer tissues compared to adjacent lung tissues.

conclusionsFAT1 mRNA is highly expressed in lung adenocarcinoma tissues, and elevated FAT1 mRNA expression is associated with poor prognosis in lung adenocarcinoma patients. FAT1 may serve as a potential biomarker for lung cancer.

Indexed as

AdenocarcinomaAdenocarcinoma of LungCarcinoma, Non-Small-Cell LungLung NeoplasmsCadherinsHumansPrognosisRNA, MessengerCadherinsFAT1 protein, humanRNA, MessengerFAT1ImmuneLung neoplasmsPrognosisProliferation

Identifiers

PMID38453442
PMCPMC10918241
OpenAlexW4394764116

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.