期刊
CANCERS
卷 15, 期 1, 页码 -出版社
MDPI
DOI: 10.3390/cancers15010305
关键词
basal cell carcinoma; BCC; genomics; computational biology; tumour microenvironment; CIBERSORT; xCell; TCGA; The Cancer Genome Atlas
类别
Basal cell carcinoma (BCC) is the most common form of skin cancer, with a small percentage being aggressive and having different immune profiles and stem cell populations. Currently, there is no reliable model for advanced BCC. This study used genomic data from various tumors to identify three cancers with similar immune cell composition to BCC, in order to gain insights for potential treatments and model development.
Simple Summary Basal cell carcinoma is the most common human cancer. Most BCCs are low-risk and are easily treated; however, 1-2% are aggressive and highly destructive to the surrounding skin, called advanced BCC. It was discovered that this subtype has a different immune profile than routine BCC, and they contain a special type of stem cell population that helps them grow and spread. There is currently no reliable laboratory model for advanced BCC, making it hard to further study it and find new treatments. For these reasons, this project was conducted using genomic data from 11,000 tumours coming from 33 non-BCC cancer types. Using computational biology, we have compared the immune cell makeup of the tumour microenvironments to determine the top three most similar cancers, which we will call BCC relatives. We will examine how these relatives develop and grow, as well as current existing treatments and their response to such treatments. Basal cell carcinoma (BCC) is the most common form of skin cancer, contributing to nearly a third of new cancer cases in Western countries. Most BCCs are considered low risk routine lesions that can either be excised through surgery or treated with chemotherapeutic agents. However, around 1-2% of BCC cases are locally aggressive, present a high risk of metastasis, and often develop chemoresistance, termed advanced BCC. There currently exists no animal model or cell line that can recapitulate advanced BCC, let alone intermediate-risk and high-risk early BCC. We previously found that aggressive BCC tumours presented a Th2 cytokine inflammation profile, mesenchymal stem cell properties, and macrophage-induced tumoral inflammation. In this study, we aimed to identify potential BCC relatives among solid-organ malignancies who present similar immune cell proportions in their microenvironment compositions. Using immune cell type deconvolution by CIBERSORTx, and cell type enrichment by xCell, we determined three cancers with the most similar tumour microenvironments as compared to BCC. Specifically, chromophobe renal cell carcinoma, sarcoma, and skin cutaneous melanoma presented significance in multiple cell types, namely in CD4+ T lymphocytes, gammadelta T lymphocytes, and NK cell populations. Consequently, further literature analysis was conducted to understand similarities between BCC and its relatives, as well as investigating novel treatment targets. By identifying cancers most like BCC, we hope to propose prospective druggable pathways, as well as to gain insight on developing a reliable animal or cell line model to represent advanced BCC.
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