COL1A1: A novel oncogenic gene and therapeutic target in malignancies

Li, Xue; Sun, Xiaodong; Kan, Chengxia; Chen, Bing; Qu, Na; Hou, Ningning; Liu, Yongping; Han, Fang

doi:10.1016/j.prp.2022.154013

Cited by 37 publications

(25 citation statements)

References 65 publications

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“…Collagens regulate cancer cells’ polarity, migration, and signaling in the tumor microenvironment [ 84 ], but the protein levels of each collagen and its mechanism of action differ among cancer types. Recently, more and more studies are associating collagen overexpression with angiogenesis, invasion, and drug resistance in poor overall survival [ 85 , 86 ].…”

Section: Collagen Family and Cancermentioning

confidence: 99%

Collagen Family as Promising Biomarkers and Therapeutic Targets in Cancer

Necula

Matei²,

Dragu³

et al. 2022

IJMS

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Despite advances in cancer detection and therapy, it has been estimated that the incidence of cancers will increase, while the mortality rate will continue to remain high, a fact explained by the large number of patients diagnosed in advanced stages when therapy is often useless. Therefore, it is necessary to invest knowledge and resources in the development of new non-invasive biomarkers for the early detection of cancer and new therapeutic targets for better health management. In this review, we provided an overview on the collagen family as promising biomarkers and on how they may be exploited as therapeutic targets in cancer. The collagen family tridimensional structure, organization, and functions are very complex, being in a tight relationship with the extracellular matrix, tumor, and immune microenvironment. Moreover, accumulating evidence underlines the role of collagens in promoting tumor growth and creating a permissive tumor microenvironment for metastatic dissemination. Knowledge of the molecular basis of these interactions may help in cancer diagnosis and prognosis, in overcoming chemoresistance, and in providing new targets for cancer therapies.

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Section: Collagen Family and Cancermentioning

confidence: 99%

Collagen Family as Promising Biomarkers and Therapeutic Targets in Cancer

Necula

Matei²,

Dragu³

et al. 2022

IJMS

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“…Collagen type 1 alpha 1 (COL1A1) is related to diabetic kidney disease [48] and might play role in the development of diabetic retinopathy [49] and cancer progression [50]. Of note, we found an association of elevated COL1A1 levels with improved myocardial contractility.…”

Section: Tissue Remodelingmentioning

confidence: 52%

Impact of cardiac shock wave therapy on the dynamics of biomarkers: results of proteomic analysis

Burneikaitė

Jasiūnas

Shkolnik

et al. 2022

Preprint

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Background: Cardiac shock-wave therapy (CSWT) is a non-invasive treatment based on low-frequency ultrasound waves that stimulate angiogenesis. Current data on the effects of revascularization procedures on angiogenesis biomarkers are limited. In this study, we aimed to characterize the serum protein profiles of patients with coronary artery disease after CSWT treatment in relation to changes in exercise and imaging parameters. Methods: The study population included 10 patients from a prospective, randomized, triple-blind, sham-procedure controlled study (NCT02339454), who received CSWT and had demonstrated improvement in myocardial perfusion and/or contractility at 6 months follow-up The blood samples were collected at baseline, after the last treatment procedure (9th treatment week), at 6-month follow-up and stored at −80°C until analysis. The cardiovascular-related proteins (n=92) were measured using the Olink Proseek Multiplex Cardiovascular III panel (Olink, Uppsala, Sweden). Results: The median age was 65.5 years, and 7 patients were males. A total of 20 biomarkers showed significant changes from baseline to 9th week and 6 months follow-up (p<0.05). We identified 28 proteins that showed clear association with an increase in exercise tolerance and improvement in myocardial contractility or perfusion after CSWT. Using a volcano plot and results from the paired Mann-Whitney U test at confidence level of 0.95, we identified 3 proteins (PON3, TR-AP, CD163) with elevated values corresponding to increase in exercise duration (p<0.05) and 2 proteins (CPA1, COL1A1) related to improved myocardial contractility (p<0.05). A pathway analysis including 28 proteins suggested that these biomarkers were related to immune and inflammatory response, cell adhesion, tissue remodeling, proteolysis and catabolic processes. Conclusions: This study demonstrates the association of an increase in protein levels with an improvement in exercise duration and contractile function. Proteomic analysis suggests that CSWT exerts biological effects including immune and inflammation response, cell adhesion and tissue remodeling, all of which may mediate angiogenesis. Trial registration: Clinicaltrials.gov (NCT02339454).

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“…In our dataset, this communication was predominantly mediated through the ligand‐receptor pairs COL1A1‐SDC1, COL1A1‐CD44, and COL1A2‐SDC1. Notably, COL1A1 and COL1A2, integral members of the collagen protein family, exhibit aberrant expression in various cancers 33–35 . Moreover, it has been reported by Ji‐Hye Choi et al.…”

Section: Discussionmentioning

confidence: 93%

Single‐cell sequencing of head and neck carcinoma: Transcriptional landscape and prognostic model based on malignant epithelial cell features

Xiong,

Hu,

Yao

et al. 2023

The FASEB Journal

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Head and neck squamous cell carcinoma (HNSCC) is the sixth most common malignancy worldwide, and the development of novel therapeutic strategies for HNSCC requires a profound understanding of tumor cells and the tumor microenvironment (TME). Additionally, HNSCC has a poor prognosis, necessitating the use of genetic markers for predicting clinical outcomes in HNSCC. In this study, we performed single‐cell sequencing analysis on tumor tissues from seven HNSCC patients, along with one adjacent normal tissue. Firstly, the analysis of epithelial cell clusters revealed two clusters of malignant epithelial cells, characterized by unique gene expression patterns and dysregulated signaling pathways compared to normal epithelial cells. Secondly, the examination of the TME unveiled extensive crosstalk between fibroblasts and malignant epithelial cells, potentially mediated through ligand‐receptor interactions such as COL1A1‐SDC1, COL1A1‐CD44, and COL1A2‐SDC1. Furthermore, transcriptional heterogeneity was observed in immune cells present in the TME, including macrophages and dendritic cells. Finally, leveraging the gene expression profiles of malignant epithelial cells, we developed a prognostic model comprising six genes, which we validated using two independent datasets. These findings shed light on the heterogeneity within HNSCC tumors and the intricate interplay between malignant cells and the TME. Importantly, the developed prognostic model demonstrates high efficacy in predicting the survival outcomes of HNSCC patients.

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COL1A1: A novel oncogenic gene and therapeutic target in malignancies

Cited by 37 publications

References 65 publications

Collagen Family as Promising Biomarkers and Therapeutic Targets in Cancer

Collagen Family as Promising Biomarkers and Therapeutic Targets in Cancer

Impact of cardiac shock wave therapy on the dynamics of biomarkers: results of proteomic analysis

Single‐cell sequencing of head and neck carcinoma: Transcriptional landscape and prognostic model based on malignant epithelial cell features

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