| Literature DB >> 33047902 |
Fan Ge1,2, Caichen Li1, Xin Xu3, Zhenyu Huo1,4, Runchen Wang1,4, Yaokai Wen1,4, Haoxin Peng1,4, Xiangrong Wu1,4, Hengrui Liang1, Guilin Peng1,3, Run Li1,3, Danxia Huang1,3, Ying Chen1,3, Shan Xiong1, Ran Zhong1, Bo Cheng1, Jianfu Li1, Jianxing He1, Wenhua Liang1.
Abstract
We performed a meta-analysis to determine cancer risks at multiple sites and their associations with tumor mutation burden (TMB), an index for immunogenicity, in heart or lung transplant recipients. A comprehensive search of PubMed, Web of Science, EMBASE, and Medline was conducted. Random effects models were used to calculate standardized incidence ratios (SIRs) versus the general population and to determine the risks of different cancers. Weighted linear regression (WLR) was used to analyze the associations between the SIRs and TMBs. (PROSPERO CRD42020159599). Data from 21 studies including 116,438 transplant recipients (51,173 heart transplant recipients and 65,265 lung transplant recipients) with a total follow-up of 601,330.7 person-years were analyzed. Compared with the general population, heart transplant recipients displayed a 3.13-fold higher cancer risk [SIR: 3.13; 95% confidence interval (CI): 2.38-4.13; p < 0.001]; lung transplant recipients displayed a 4.28-fold higher cancer risk [SIR: 4.28; 95% CI: 3.18-5.77; p < 0.001]. The correlation coefficients were 0.54 (p = 0.049) and 0.79 (p < 0.001) in heart and lung transplant recipients, respectively, indicating that 29% and 63% of the differences in the SIRs for cancer types might be explained by the TMBs. Our study demonstrated that both heart and lung transplant recipients displayed a higher risk of certain site-specific cancers. These findings can provide individualized guidance for clinicians for detection of cancer among heart or lung transplantation recipients. In addition, we provided evidence that increased risks of post-transplant cancers can be attributed to immunosuppression.Entities:
Keywords: cancer risk; heart transplantation; lung transplantation; meta-analysis; tumor mutation burden
Mesh:
Year: 2020 PMID: 33047902 PMCID: PMC7774758 DOI: 10.1002/cam4.3525
Source DB: PubMed Journal: Cancer Med ISSN: 2045-7634 Impact factor: 4.452