Highly Expressed FOXF1 Inhibit Non-Small-Cell Lung Cancer Growth via Inducing Tumor Suppressor and G1-Phase Cell-Cycle Arrest

Wu, Ching‐Yuan; Chan, Chun Hao; Dubey, Navneet Kumar; Wei, Hong-Jian; Lu, Ja-Yu; Chang, Chun Chao; Cheng, Hsin Chung; Ou, Keng Liang; Deng, Win Ping

doi:10.3390/ijms21093227

Cited by 18 publications

(16 citation statements)

References 57 publications

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“…The FOXF1 transcription factor regulates E-cadherin expression downstream of the P53 family members, modulating cancer cell migration and invasion [ 27 ]. In NSCLC, FOXF1 may inhibit cancer growth by inducing tumor suppressor and G1-phase cell-cycle arrest [ 28 ]. In LUAD in our study, downregulation of FOXF1 and positive survival results were observed.…”

Section: Discussionmentioning

confidence: 99%

Decreased HLF Expression Predicts Poor Survival in Lung Adenocarcinoma

Wang

Chen

et al. 2021

Med Sci Monit

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Background Lung adenocarcinoma (LUAD) is a type of non-small cell carcinoma. Its pathogenesis is being explored and there is no cure for the disease. Material/Methods The Gene Expression Omnibus (GEO) was searched to obtain data on expression of messenger RNA. GEO2R, an interactive web tool, was used to calculate the differentially expressed genes (DEGs) in LUAD. All the DEGs from different datasets were imported into VENNY 2.1 ( https://bioinfogp.cnb.csic.es/tools/venny/index.html ) to identify the intersection of the DEGs. An online analysis tool, the Database for Annotation, Visualization, and Integrated Discovery (DAVID), was used to help understand the biological meaning of DEG enrichment in LUAD. Cytoscape 3.7.2 was used to perform centrality analysis and visualize hub genes and related networks. Furthermore, the prognostic value of the hub genes was evaluated with the Kaplan-Meier plotter survival analysis tool. Results The GEO database was used to obtain RNA sequencing information for LUAD and normal tissue from the GSE118370, GSE136043, and GSE140797 datasets. A total of 376 DEGs were identified from GSE118370, 248 were identified from GSE136403, and 718 DEGs were identified from GSE140797. The 10 genes with the highest degrees of expression – the hub genes – were CAV1, TEK, SLIT2, RHOJ, DGSX, HLF, MEIS1, PTPRD, FOXF1 , and ADRB2 . In addition, Kaplan-Meier survival evaluation showed that CAV1, TEK, SLIT2, HLF, MEIS1, PTPRD, FOXF1 , and ADRB2 were associated with favorable outcomes for LUAD. Conclusions CAV1, TEK, SLIT2, HLF, MEIS1, PTPRD, FOXF1 , and ADRB2 are hub genes in the DEG interaction network for LUAD and are involved in the development of and prognosis for the disease. The mechanisms underlying these genes should be the subject of further studies.

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Section: Discussionmentioning

confidence: 99%

Decreased HLF Expression Predicts Poor Survival in Lung Adenocarcinoma

Wang

Chen

et al. 2021

Med Sci Monit

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“…References to the Figure 1 . Kilvaer et al [ 16 ]; Tao et al, 2017 [ 19 ]; Donnem et al, 2008 [ 20 ]; Kilvaer et al, 2018 [ 15 ]; Kilvaer et al, 2015 [ 13 ]; Edlund et al, 2012 [ 21 ]; Saito et al, 2010 [ 22 ]; Wu et al, 2020 [ 23 ]; Mattsson et al, 2015 [ 24 ]; Yokouchi et al, 2015 [ 25 ]; Hellevik et al, 2012 [ 12 ]; Hellevik et al, 2013 [ 9 ]; Grinde et al, 2017 [ 26 ].…”

Section: Figurementioning

confidence: 99%

Interaction between Fibroblasts and Immune Cells Following DNA Damage Induced by Ionizing Radiation

Ragunathan

Upfold

Oksenych

2020

IJMS

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Cancer-associated fibroblasts (CAF) form the basis of tumor microenvironment and possess immunomodulatory functions by interacting with other cells surrounding tumor, including T lymphocytes, macrophages, dendritic cells and natural killer cells. Ionizing radiation is a broadly-used method in radiotherapy to target tumors. In mammalian cells, ionizing radiation induces various types of DNA damages and DNA damage response. Being unspecific, radiotherapy affects all the cells in tumor microenvironment, including the tumor itself, CAFs and immune cells. CAFs are extremely radio-resistant and do not initiate apoptosis even at high doses of radiation. However, following radiation, CAFs become senescent and produce a distinct combination of immunoregulatory molecules. Radiosensitivity of immune cells varies depending on the cell type due to inefficient DNA repair in, for example, monocytes and granulocytes. In this minireview, we are summarizing recent findings on the interaction between CAF, ionizing radiation and immune cells in the tumor microenvironment.

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“…After the intersection of these 181 genes and 998 DEGs, 4 CNV-driven genes are obtained, namely ABR, EFNB3, FOXF1, ZFP3, whose expressions all decreased in the high mRNAsi group, possibly due to the loss of fragments. Reportedly, FOXF1 inhibits the growth of non-small cell lung cancer by activating tumor suppressor p21 [38]. However, its role and molecular mechanism in high stemness cancer cells remain to be further studied.…”

Section: Discussionmentioning

confidence: 99%

Integrative Analysis of Genes Associated With Cancer Stem Cell Characteristics via Stemness Indices Combined With Multi-Omics Data in Liver Cancer

Zhang¹,

Yu²,

Chu³

et al. 2020

Preprint

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BackgroundLiver cancer (LC) is one of the most prevalent malignancies with a high morbidity and mortality. Cancer stem cells (CSCs) are capable of tumorigenicity, self-renewal and long-term survival. However, the relationship between LC and CSCs remains unclear.MethodsThe clinical data of LC patients and multi-omics data including mRNA-seq, lncRNA-seq, miRNA-seq, mRNA expression-based stemness index (mRNAsi), alternative splicing, DNA methylation and copy number variation (CNV) were obtained from The Cancer Genome Atlas (TCGA). Besides, the clinical data and RNA-seq of validation group were obtained from International Cancer Genome Consortium (ICGC). Integrative analysis of genes associated with CSCs characteristics were performed by stemness indices combined with multi-omics data in LC.ResultsThe stemness degree of cells in liver tumor group was higher than that of the normal group. The patients with high stemness degree of tumor tissue had significantly poorer overall survival. Besides, 6 methylation-driven genes and 4 CNV-driven genes related to CSCs characteristics were obtained. Alternative splicing factor regulatory network and ceRNA regulatory network were constructed respectively. Furthermore, the mRNAsi score of LC was negatively correlated with the tumor immune score. The proportion of CD8 T cell, activated memory CD4 T cell, follicular helper T cell and M1 macrophages was up-regulated in tumors with a higher degree of stemness. Finally, a prediction model was established, which has been proved to be a good predictor of prognosis by ICGC data.ConclusionsCancer cells with high degree of stemness aggravated the malignant progression of LC, which may be related to low immune infiltration. The proposed prediction model was a powerful predictor for patients and helpful to clinical work.

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Highly Expressed FOXF1 Inhibit Non-Small-Cell Lung Cancer Growth via Inducing Tumor Suppressor and G1-Phase Cell-Cycle Arrest

Cited by 18 publications

References 57 publications

Decreased HLF Expression Predicts Poor Survival in Lung Adenocarcinoma

Decreased HLF Expression Predicts Poor Survival in Lung Adenocarcinoma

Interaction between Fibroblasts and Immune Cells Following DNA Damage Induced by Ionizing Radiation

Integrative Analysis of Genes Associated With Cancer Stem Cell Characteristics via Stemness Indices Combined With Multi-Omics Data in Liver Cancer

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