Prognostic Implication of the Expression Level of PECAM-1 in Non-small Cell Lung Cancer

Cao, Shanshan; Wang, Yue; Li, Jingwen; Ling, Xuxinyi; Zhang, Yao; Zhou, Yan

doi:10.3389/fonc.2021.587744

Cited by 6 publications

(3 citation statements)

References 56 publications

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“…Increased expression of PECAM-1 promotes migration of endothelial lymphocytes. 14 The present study demonstrated that high expression of PECAM-1 was associated with improved survival, which was consistent with the study by Cao et al 15 PECAM-1 signaling may be involved in the regulation of VEGF expression 16 HGF and SPP1 were involved in the PI3K-Akt signaling pathway. The present study demonstrated that high expression of HGF was associated with improved survival, which was consistent with the study by Pan et al 17 It has also been noted that HGF regulates the expression of SAE2 and circRNA CCDC66, thereby increasing EMT and drug resistance in LADC cells.…”

Section: Discussionsupporting

confidence: 92%

Bioinformatics Identification of Key Genes for the Development and Prognosis of Lung Adenocarcinoma

Luo

Wang

et al. 2022

INQUIRY

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Objective: Lung adenocarcinoma (LUAD) is a common malignant tumor with a poor prognosis. The present study aimed to screen the key genes involved in LUAD development and prognosis. Methods: The transcriptome data for 515 LUAD and 347 normal samples were downloaded from The Cancer Genome Atlas and Genotype Tissue Expression databases. The weighted gene co-expression network and differentially expressed genes were used to identify the central regulatory genes for the development of LUAD. Univariate Cox, LASSO, and multivariate Cox regression analyses were utilized to identify prognosis-related genes. Results: The top 10 central regulatory genes of LUAD included IL6, PECAM1, CDH5, VWF, THBS1, CAV1, TEK, HGF, SPP1, and ENG. Genes that have an impact on survival included PECAM1, HGF, SPP1, and ENG. The favorable prognosis genes included KDF1, ZNF691, DNASE2B, and ELAPOR1, while unfavorable prognosis genes included RPL22, ENO1, PCSK9, SNX7, and LCE5A. The areas under the receiver operating characteristic curves of the risk score model in the training and testing datasets were .78 and .758, respectively. Conclusion: Bioinformatics methods were used to identify genes involved in the development and prognosis of LUAD, which will provide a basis for further research on the treatment and prognosis of LUAD.

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Section: Discussionsupporting

confidence: 92%

Bioinformatics Identification of Key Genes for the Development and Prognosis of Lung Adenocarcinoma

Luo

Wang

et al. 2022

INQUIRY

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“…In terms of cell adhesion markers, we observed a significantly upregulated PECAM1 expression in PCa when cocultured with bone cells (Figure C). PECAM1 (Platelet Endothelial Cell Adhesion Molecule 1) or CD31 is mainly involved in the regulation of cell–cell interactions and angiogenesis . A previous study identified that the expression of PECAM1 is associated with the early angiogenic switch and the recruitment of new vasculature to lesions indicative of advanced prostatic epithelial neoplasia, which highlights the important role that PECAM1 plays in the development of new blood vessels during the progression of PCa.…”

Section: Resultsmentioning

confidence: 97%

TempEasy 3D Hydrogel Coculture System Provides Mechanistic Insights into Prostate Cancer Bone Metastasis

Zhang,

Chen,

Sun

et al. 2024

ACS Appl. Mater. Interfaces

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Patients diagnosed with advanced prostate cancer (PCa) often experience incurable bone metastases; however, a lack of relevant experimental models has hampered the study of disease mechanisms and the development of therapeutic strategies. In this study, we employed the recently established Temperature-based Easy-separable (TempEasy) 3D cell coculture system to investigate PCa bone metastasis. Through coculturing PCa and bone cells for 7 days, our results showed a reduction in PCa cell proliferation, an increase in neovascularization, and an enhanced metastasis potential when cocultured with bone cells. Additionally, we observed increased cell proliferation, higher stemness, and decreased bone matrix protein expression in bone cells when cocultured with PCa cells. Furthermore, we demonstrated that the stiffness of the extracellular matrix had a negligible impact on molecular responses in both primary (PCa cells) and distant malignant (bone cells) sites. The TempEasy 3D hydrogel coculture system is an easy-to-use and versatile coculture system that provides valuable insights into the mechanisms of cell–cell communication and interaction in cancer metastasis.

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“…There is evidence that PECAM1, CX3CR1, KLRD1, and CXCL12 are involved in the progression of multiple malignant tumors. For example, in non-small cell lung cancer, a survival analysis showed that the high expression of PECAM1 is correlated with an improved survival rate, which suggests that PECAM1 may be a potential prognostic marker of lung cancer ( 36 ). In colorectal cancer, CX3CR1 was shown to contribute to the recruitment and regulation of immune infiltrating cells and the polarization of macrophages in the progression of colorectal cancer, which suggests that CX3CR1 can be used as a prognostic biomarker for colorectal cancer ( 37 ).…”

Section: Discussionmentioning

confidence: 99%

Identification of the key miRNA-mRNA regulatory network in lung adenocarcinoma

Xue¹,

You²,

Liu³

et al. 2023

J Thorac Dis

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Background Lung adenocarcinoma (LUAD) is the most common type of lung cancer, has a high incidence rate and is a serious threat to human health. However, the pathogenesis of LUAD is still unclear. Further research on the pathogenesis of LUAD may provide targets for the early diagnosis and treatment of LUAD. Methods First, a transcriptome analysis was conducted to sequence the messenger RNA (mRNA) and micro RNA (miRNA) of the LUAD and adjacent control tissues. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were then performed for the functional annotation. Next, a differential miRNA-differential mRNA regulatory network was then constructed, and the function of the mRNAs in the network was analyzed and the key regulatory molecules (the hub molecules) were identified. Cytohubba was then used to analyze the top 20 hub molecules in the total miRNA-mRNA network, and the miRNAs regulating the top 20 hub genes (of which 2 were upregulated and 18 were downregulated). Finally, the key molecules were identified. Results By analyzing the function of the mRNA molecules in the regulatory network, we found that the immune response was inhibited, as were the movement and adhesion of immune-related cells; however, cell tumorigenesis, body death, and tumor cell proliferation were activated. The functions of the 20 hub molecules were mainly related to cytotoxicity, cell exosmosis, and cell adhesion mediated by immune cells. Further, we found that miR-5698, miR224-5p, and miR4709-3P regulate multiple key genes (e.g., PECAM1 , CX3CR1 , KLRD1 , and CXCL12 ), and may be the key miRNAs regulating LUAD. Conclusions Immune response, cell tumorigenesis, and tumor cell proliferation play central roles in the overall regulatory network. miR-5698, miR224-5p, and miR4709-3p may be important biomarkers for the occurrence and development of LUAD and have great potential in the prognosis of LUAD patients and the development of new therapeutic targets.

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Prognostic Implication of the Expression Level of PECAM-1 in Non-small Cell Lung Cancer

Cited by 6 publications

References 56 publications

Bioinformatics Identification of Key Genes for the Development and Prognosis of Lung Adenocarcinoma

Bioinformatics Identification of Key Genes for the Development and Prognosis of Lung Adenocarcinoma

TempEasy 3D Hydrogel Coculture System Provides Mechanistic Insights into Prostate Cancer Bone Metastasis

Identification of the key miRNA-mRNA regulatory network in lung adenocarcinoma

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