Evidence map›Paper›PMID 38646528›Full record

ArticleFrontiers in immunology2024

ITGAL expression in non-small-cell lung cancer tissue and its association with immune infiltrates.

Ruihao Zhang, Guangsheng Zhu, Zaishan Li, Zhenzhen Meng, Hua Huang, Chen Ding, Yanan Wang, Chen Chen, Yongwen Li, Hongyu Liu and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Ruihao Zhang *Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Guangsheng Zhu *Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Zaishan Li *Department of Cardiothoracic Surgery, Linyi People's Hospital, Linyi, China.
Zhenzhen MengDepartment of Anesthesiology, Linyi People's Hospital, Linyi, China.
Hua HuangDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Chen DingDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Yanan WangDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Chen ChenTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China.
Yongwen LiDepartment of Anesthesiology, Linyi People's Hospital, Linyi, China.
Hongyu LiuTianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China.
Jun ChenDepartment of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Tianjin Medical University General Hospital · CNLinyi People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Integrin subunit alpha L (ITGAL) encodes an integrin component of LFA-1 and is a membrane receptor molecule widely expressed on leukocytes. It plays a key role in the interaction between white blood cells and other cells. There was a significant correlation between the expression of ITGAL and the tumor microenvironment in a number of cancers. However, experimental studies targeting ITGAL and immune cell infiltration in non-small-cell lung cancer (NSCLC) and the response to immune checkpoint inhibitor therapy are lacking. Methods: Data were obtained from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Clinical Proteomic Tumor Analysis Consortium (CPTAC) databases to explore the relationship between ITGAL expression and prognosis, as well as the immune cell infiltration in patients with NSCLC. In addition, immunohistochemical staining for ITGAL and multiplex immunofluorescence (mIF) staining for ITGAL, CD20, CD68, CD4, and CD8 from tissue microarrays containing 118 tumor tissues and paired paracancerous tissues from patients with NSCLC were performed. The correlation between ITGAL expression and clinical factors, as well as the immunophenotypes of tumor-infiltrating immune cells, were also analyzed. Results: In NSCLC tumor tissues, ITGAL was downregulated compared with matched paracancerous tissues, and low ITGAL expression was associated with a poor prognosis of NSCLC patients. Subsequently, immunohistochemistry results for tissue microarray showed that ITGAL expression was mainly elevated in tumor stroma and areas with highly infiltrated immune cells. ITGAL expression was higher in paracancerous tissues than tumor tissues. Furthermore, mIF results indicated that the patients with ITGAL-high expression tend had significantly higher CD8+ T cells, CD68+ macrophages, CD4+ T cells, and CD20+ B cells infiltration in their tumor tissues. Immunophenotypes were classified into three categories, that is deserted, excluded, and inflamed types, according to each kind of immune cell distribution in or around the cancer cell nest. MIF results showed that ITGAL expression level was correlated with the immunophenotypes. Furthermore, ITGAL expression was associated with the prognosis of NSCLC in patients with immune checkpoint inhibitor therapy and the patients with high ITGAL expression tends have better outcomes. Conclusions: ITGAL may be used as a biomarker for assessing the immune microenvironment in patients with NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsLymphocytes, Tumor-InfiltratingTumor MicroenvironmentAgedBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansIntegrin alpha1MaleMiddle AgedPrognosisBiomarkers, TumorIntegrin alpha1biomarkerimmune cellimmune microenvironmentITGALNSCLC

Identifiers

PMID38646528
PMCPMC11027504
OpenAlexW4393946652

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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.