ISSN: 1837-9664Journal of Cancer
Global reach, higher impact
J Cancer 2021; 12(16):4762-4773. doi:10.7150/jca.50502 This issue Cite
Research Paper
Prognostic and immunological role of CD36: A pan-cancer analysis
1. Department of Medical Oncology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
2. Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
3. Department of General Surgery, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
4. Department of Medical Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
5. Department of Colorectal Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
6. Department of Transplantation, the Second Affiliated Hospital of Southern University of Science and Technology and the Third People's Hospital of Shenzhen, Shenzhen, China.
#These authors contributed equally to this work as co-first authors.
Abstract
CD36 plays a critical role in lipid metabolism, which is closely associated with human immunity. However, the role of CD36 in cancer remains unclear. We performed a pan-cancer analysis to elucidate the potential role of CD36 in cancer by investigating its prognostic value and current predictors for the efficacy of immune checkpoint inhibitors (ICIs) in multiple cancer types. CD36 expression in cancer cell lines, tumor tissue, and their adjacent normal tissues displayed heterogeneity among different cancers. Immunohistochemistry was used to detect CD36 expression and confirmed the results. CD36 expression significantly affects prognosis in the six cancer types. High CD36 expression was marginally associated with poorer prognosis in four of them and improved prognosis in the remaining two types. CD36 expression was significantly correlated with the 6 immune infiltrates in most cancer types. In addition, CD36 gene expression was positively correlated with Stromal score, Immune score, and ESTIMATE score. A total of 47 immune checkpoint genes were collected and their relationship with CD36 expression was analyzed. CD36 expression was significantly associated with multiple stimulatory and inhibitory checkpoint molecules with a disease-specific pattern. As to the genes reported to positively relate to the efficacy of ICIs, CD36 expression was positively correlated with most of them but negatively associated with a small proportion of cancer type-specific patterns. Concerning the genes negatively related to the efficacy of ICIs, CD36 expression was positively correlated with NRP1 and TNFSF15 in multiple cancers. CD36 expression was negatively correlated with tumor neoantigen burden in most cancer types. However, CD36 expression was negatively correlated with tumor mutation burden in most cancer types. The correlation between CD36 expression and the four methyltransferases was also significant in multiple cancers, but also with a cancer type-specific pattern. In summary, the current study found CD36 expression and its prognostic value in multiple cancer types. In addition, the expression of CD36 was significantly associated with current predictors for the efficacy of ICIs. The practical application value of CD36 is disease specific.
Keywords: CD36, Biomarker, Immunotherapy, Pan-cancer analysis
Citation styles
