Effect of LOXL2 on metastasis through remodeling of the cell surface matrix in non-small cell lung cancer cells

Yun, Heesu; Im, Hee-Jeong; Choe, Chungyoul; Roh, Sangho

doi:10.1016/j.gene.2022.146504

Cited by 6 publications

(4 citation statements)

References 56 publications

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“…In prostate biopsy tissues 63 and liver cancer tissues 64 similar observations were made, suggesting that FKBP4 may be a potential biomarker for tumours. Up-regulation of LOXL2 leads to metastasis in the tumour microenvironment, which results in invasive migration 65 . Although some genes have been studied for their regulatory role in cancer, few researchers have systematically evaluated their prognostic value in LUAD.…”

Section: Discussionmentioning

confidence: 99%

Copper-binding protein modelling by single-cell transcriptome and Bulk transcriptome to predict overall survival in lung adenocarcinoma patients

Shengping,

Luyao,

Yiluo

et al. 2024

J. Cancer

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Background: Copper and copper-binding proteins are key components of tumour progression as they play an important role in tumour invasion and migration, and abnormal accumulation of copper (Cu) may be intimately linked to with lung adenocarcinoma (LUAD). Methods: Data on lung adenocarcinoma were sourced from the Cancer Genome Atlas (TCGA) database and the National Centre for Biotechnology Information (GEO). 10x scRNA sequencing, which is from Bischoff P et al, was used for down-sequencing clustering and subgroup identification using TSNE. The genes for Copper-binding proteins (CBP) were acquired from the MSigDB database. LASSO-Cox analysis was subsequently used to construct a model for copper-binding proteins (CBPRS), which was then compared to lung adenocarcinoma models developed by others. External validation was carried out in the GSE31210 and GSE50081 cohorts. The effectiveness of immunotherapy was evaluated using the TIDE algorithm and the IMvigor210, GSE78220, and TCIA cohorts. Furthermore, differences in mutational profiles and the immune microenvironment between different risk groups were investigated. The CBPRS's key regulatory genes were screened using ROC diagnostic and KM survival curves. The differential expression of these genes was then verified by RT-qPCR. Results: The six CBP genes were identified as highly predictive of LUAD prognosis and significantly correlated with it. Multivariate analysis showed that patients in the low-risk group had a higher overall survival rate than those in the high-risk group, indicating that the model was an independent predictor of LUAD. The CBPRS demonstrated superior predictive ability compared to 11 previously published models. We constructed a column-line graph that includes CBPRS and clinical characteristics, which exhibits high predictive performance. Additionally, we observed significant differences in biological functions, mutational landscapes, and immune cell infiltration in the tumour microenvironment between the high-risk and low-risk groups. It is noteworthy that immunotherapy was also significant in both the high- and low-risk groups. These results suggest that the model has good predictive efficacy. Conclusions: The CBP model demonstrated good predictive performance, revealing characteristics of the tumour microenvironment. This provides a new method for assessing the efficacy of pre-immunisation and offers a potential strategy for future treatment of lung adenocarcinoma.

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Section: Discussionmentioning

confidence: 99%

Copper-binding protein modelling by single-cell transcriptome and Bulk transcriptome to predict overall survival in lung adenocarcinoma patients

Shengping,

Luyao,

Yiluo

et al. 2024

J. Cancer

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“…Copper concentrations have been shown to be elevated in serum or tumors of many cancer patients, such as colorectal, breast, gallbladder, or thyroid cancers ( Basu et al, 2013 ; Pavithra et al, 2015 ; Baltaci et al, 2017 ; Stepien et al, 2017 ). Studies have shown that the copper-dependent enzyme Lysyl oxidase-like 2 (LOXL2) can remodel tumor cells and promote tumor cell metastasis ( Zhan et al, 2019 ; Lin et al, 2020 ; Yun et al, 2022 ). Safi et al (2014) suggest the copper signaling axis as a new target for prostate cancer therapy.…”

Section: Discussionmentioning

confidence: 99%

The combined prognostic model of copper-dependent to predict the prognosis of pancreatic cancer

2022

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Purpose: To assess the prognostic value of copper-dependent genes, copper-dependent-related genes (CDRG), and CDRG-associated immune-infiltrating cells (CIC) for pancreatic cancer.Methods: CDRG were obtained by single-cell analysis of the GSE156405 dataset in the Gene Expression Omnibus (GEO) database. In a ratio of 7:3, we randomly divided the Cancer Genome Atlas (TCGA) cohort into a training cohort and a test cohort. Tumor samples from the GSE62452 dataset were used as the validation cohort. CIBERSORT was used to obtain the immune cell infiltration. We identified the prognostic CDRG and CIC by Cox regression and the least absolute selection operator (LASSO) method. The clinical significance of these prognostic models was assessed using survival analysis, immunological microenvironment analysis, and drug sensitivity analysis.Results: 536 CDRG were obtained by single-cell sequencing analysis. We discovered that elevated LIPT1 expression was associated with a worse prognosis in pancreatic cancer patients. EPS8, CASC8, TATDN1, NT5E, and LDHA comprised the CDRG-based prognostic model. High infiltration of Macrophages.M2 in pancreatic cancer patients results in poor survival. The combined prognostic model showed great predictive performance, with the area under the curve (AUC) values being basically between 0.7 and 0.9 in all three cohorts.Conclusion: We found a cohort of CDRG and CIC in patients with pancreatic cancer. The combined prognostic model provided new insights into the prognosis and treatment of pancreatic cancer.

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“…As the lung is the major site of metastasis for many types of cancer [ [34] , [35] , [36] ], we excised lungs from mice at 24 h after injection of conditioned medium, after which they were washed with 0.9% physiological saline, sectioned, and fixed for at least 2 h at 4 °C with electron microscopy fixative containing 2% lanthanum nitrate (47.50 mL 0.2 mol/L sodium cacodylate, 3.99 mL 0.2 mol/L HCl, purified water 138.51 mL, 10 mL 50% (v/v) glutaraldehyde, and 5.33 g lanthanum nitrate) to label the vascular endothelial glycocalyx. The samples were rinsed three times (15 min each) with 0.1 M phosphoric acid buffer (pH 7.0), fixed with 1% osmic acid solution for 2–4 h, rinsed again three times with 0.1 M phosphoric acid buffer, dehydrated with a graded ethanol series, treated with 100% ethanol for 20 min, and finally transferred to pure acetone for 20 min.…”

Section: Methodsmentioning

confidence: 99%

Destruction of vascular endothelial glycocalyx during formation of pre-metastatic niches

Qu,

Du,

et al. 2024

Heliyon

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Effect of LOXL2 on metastasis through remodeling of the cell surface matrix in non-small cell lung cancer cells

Cited by 6 publications

References 56 publications

Copper-binding protein modelling by single-cell transcriptome and Bulk transcriptome to predict overall survival in lung adenocarcinoma patients

Copper-binding protein modelling by single-cell transcriptome and Bulk transcriptome to predict overall survival in lung adenocarcinoma patients

The combined prognostic model of copper-dependent to predict the prognosis of pancreatic cancer

Destruction of vascular endothelial glycocalyx during formation of pre-metastatic niches

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