4.7 Article

Prognostic value and immune infiltration of novel signatures in colon cancer microenvironment

Journal

CANCER CELL INTERNATIONAL
Volume 21, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12935-021-02342-8

Keywords

Colon cancer; Tumor microenvironment; Noncoding RNA; H19; Immune infiltration; Survival

Categories

Funding

  1. Natural Science Foundation of Fujian Province of China [2019J01448]
  2. National Natural Science Foundation of China [81972240]

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This study classified colon cancer into three subtypes through unsupervised clustering and identified a 5-lncRNA signature related to immune infiltration. These signatures, combined with clinical factors, effectively improve the prognosis of colon cancer. Additionally, the study found that H19 affects the content of B cells and macrophages in the microenvironment of colon cancer, impacting the prognosis of the disease.
Background Growing evidence has shown that the prognosis for colon cancer depends on changes in microenvironment. The purpose of this study was to elucidate the prognostic value of long noncoding RNAs (lncRNAs) related to immune microenvironment (IM) in colon cancer. Methods Single sample gene set enrichment analysis (ssGSEA) was used to identify the subtypes of colon cancer based on the immune genomes of 29 immune signatures. Cox regression analysis identified a lncRNA signatures associated with immune infiltration. The Tumor Immune Estimation Resource database was used to analyze immune cell content. Results Colon cancer samples were divided into three subtypes by unsupervised cluster analysis. Cox regression analysis identified an immune infiltration-related 5-lncRNA signature. This signature combined with clinical factors can effectively improve the predictive ability for the overall survival (OS) of colon cancer. At the same time, we found that the expression of H19 affects the content of B cells and macrophages in the microenvironment of colon cancer and affects the prognosis of colon cancer. Finally, we constructed the H19 regulatory network and further analyzed the possible mechanisms. We found that knocking down the expression of H19 can significantly inhibit the expression of CCND1 and VEGFA. At the same time, the immunohistochemical assay found that the expression of CCND1 and VEGFA protein was significantly positively correlated with the infiltration of M2 type macrophages. Conclusion The findings may help to formulate clinical strategies and understand the underlying mechanisms of H19 regulation. H19 may be a biomarker for targeted treatment of colon cancer.

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