Year: 2020
Type: article
Abstract: BACKGROUND: Tumor-infiltrating immune cells play an essential role in prognosis and survival after therapy. However, previous works have not made clear about the diversity of distinct cell types that participate in the immune response. We determined the composition of tumor-infiltrating immune cells and their correlation with prognosis in lung cancer based on a metagene approach (known as CIBERSORT) and online databases. METHODS: A total of 22 tumor-infiltrating immune cells were estimated to confirm the associations between the immune infiltration pattern and survival. As a result, the proportions of activated NK cell, monocytes, M0 macrophages and M1 macrophages in 56 cancer samples were significantly higher than those in 56 paracancerous samples. RESULTS: Univariate Cox regression analysis displayed that the proportions of NK cell and monocytes were significantly associated with prognosis. Hierarchical clustering analysis predicted five clusters by the method of within sum of squares errors (wss), which exhibited different infiltrating immune cell composition and prognosis. CONCLUSIONS: The proportions of tumor-infiltrating immune cells as well as cluster patterns were associated with the prognosis, which provided potential therapeutic targets for lung cancer.
Source: Clinica Chimica Acta
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,550
OpenAlex ID: W3021670394