Collagen Type XI Alpha 1 Expression in Intraductal Papillomas Predicts Malignant Recurrence

Collagen 1A1 (COL1A1) and Collagen11A1(COL11A1) as diagnostic biomarkers in Breast, colorectal and gastric cancers

PURPOSE

Collagen family genes (CFGs) play a significant role in the pathogenesis of cancers. This study aimed to evaluate changes in the expression levels (Els) of CFGs related to epithelial-mesenchymal transition (EMT) and metastasis in gastric (GC), breast (BC), and colorectal (CRC) cancers to introduce these genes as potential diagnostic biomarkers for these three types of cancer.

METHODS

The Cancer Genome Atlas (TCGA) examined ELS changes in CFGs associated with EMT and metastasis to determine their diagnostic value for GC, BC, and CRC. InteractiVenn was used to find genes shared by these three cancers. The biomarker role of CFGs was determined using the receiver operating characteristic (ROC) analysis. GC, BC, and CRC samples were analyzed using the RT-qPCR method to verify the bioinformatics results and evaluate the EL of the selected genes as biomarkers for these cancers.

RESULTS

The in-silico results showed a significant increase in the EL of several CFGs involved in EMT and metastasis in GC, BC, and CRC samples compared to healthy samples. Six common genes (COL11A1, COL12A1, COL1A1, COL1A2, COL5A1, and COL5A2) showed significantly increased in these three cancers, therebysupporting their oncogenic role. Furthermore, the biomarker-related analyses indicated that COL11A1 and COL1A1 were common diagnostic biomarkers for the three cancers. The RT-qPCR method confirmed that the ELs of COL11A1 and COL1A1 in the GC, BC, and CRC samples increased significantly compared to the adjacent normal samples.

CONCLUSION

CFGs in EMT and metastasis of GC, BC, and CRC are strong common diagnostic biomarkers for these cancers.

Collagen XI alpha 1 chain, a potential therapeutic target for cancer

Extracellular matrix (ECM) plays an important role in the progression of cancer. Collagen is the most abundant component in ECM, and it is involved in the biological formation of cancer. Although type XI collagen is a minor fibrillar collagen, collagen XI alpha 1 chain (COL11A1) has been found to be upregulated in a variety of cancers including ovarian cancer, breast cancer, thyroid cancer, pancreatic cancer, non-small-cell lung cancer, and transitional cell carcinoma of the bladder. High levels of COL11A1 usually predict poor prognosis, while COL11A1 is related to angiogenesis, invasion, and drug resistance of cancer. However, little is known about the specific mechanism by which COL11A1 regulates tumor progression. Here, we have organized and summarized the recent developments regarding elucidation of the relationship between COL11A1 and various cancers, as well as the interaction between COL11A1 and intracellular signaling pathways. In addition, we have selected therapeutic agents targeting COL11A1. All these indicate the possibility of using COL11A1 as a target for cancer treatment.

COL11A1 Was Involved in Cell Proliferation, Apoptosis and Migration in Non-Small Cell Lung Cancer Cells

BACKGROUND

Type XI collagen (COL11A1) was reported to associate with malignancy in several cancer types, whereas its role in lung cancer is not fully understood. Therefore, the present study aimed to explore the expression level and biological role of COL11A1 in lung cancer cells.

METHODS

Gene Expression Omnibus (GEO) database containing 6 lung cancer tissues and normal lung tissues was used to identify potential aberrantly expressed genes. The expression of COL11A1, apoptosis related genes, cell cycle related genes and migration associated genes at the protein level were evaluated by western blot and at the mRNA level was determined by real-time PCR in lung cancer cell lines. Furthermore, the expression of COL11A1 was silenced by siRNA, and cell viability was detected by Cell counting kit-8 (CCK-8) assay. Moreover, cell apoptosis and cell cycle were determined by flow cytometry. In addition, transwell and wound-healing assay were applied to determine cell migration ability.

RESULTS

GEO analysis suggests that COL11A1 was highly expressed in patients with lung cancer, which was consistent with the results in lung cancer cell lines. COL11A1 knockdown in lung cancer cells significantly lowered the colony formation ability, augmented cell apoptosis rate and elevated the expression of cleaved caspase-3, cleaved caspase-9, Bax, P21 and the expression of Bcl-2, CyclinD1, CDK2 and CDK-4 was significantly downregulated (all p < 0.05). Moreover, post-COL11A1 knockdown, the cell wound-healing and migration ability was significantly impaired, which also supported by the upregulation of E-Cadherin and downregulation of N-Cadherin, Vimentin and Snail (all p < 0.05). Furthermore, we also found that COL11A1 knockdown decreased the expression of p-AKT, p-PI3K and p-ERK.

CONCLUSION

The present study revealed that COL11A1 may contribute to the malignancy and involve in the pathogenesis of lung cancer.

Integrated bioinformatics analysis of key genes involved in progress of colon cancer

Background

Colon cancer is one of most malignant cancers around worldwide. Nearly 20% patients were diagnosed at colon cancer with metastasis. However, the lack of understanding regarding its pathogenesis brings difficulties to study it.

Methods

In this study, we acquired high‐sequence data from GEO dataset, and performed integrated bioinformatic analysis including differently expressed genes, gene ontology and Kyoto Encyclopedia of Genes and Genomes pathways analysis, protein–protein analysis, survival analysis to analyze the development of colon cancer.

Results

By comparing the colon cancer tissues with normal colon tissues, 109 genes were dysregulated; among them, 83 genes were downregulated and 26 genes were upregulated. Two clusters were founded based on the STRING database and MCODE plugin of cytoscape software. Then, six genes with prognostic value were filtered out in UALCAN website.

Conclusion

We found that SPP1, VIP, COL11A1, CA2, ADAM12, INHBA could provide great significant prognostic value for colon cancer.