Siqueira Juliana D, Goes Livia R, Alves Brunna M, de Carvalho Pedro S, Cicala Claudia, Arthos James, Viola João P B, de Melo Andréia C, Soares Marcelo A
Programa de Oncovirologia, Instituto Nacional de Câncer, Rio de Janeiro, RJ 20.231-050, Brazil.
Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, Bethesda, MD 20892, USA.
Virus Evol. 2021 Feb 16;7(1):veab013. doi: 10.1093/ve/veab013. eCollection 2021 Jan.
Numerous factors have been identified to influence susceptibility to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection and disease severity. Cancer patients are more prone to clinically evolve to more severe COVID-19 conditions, but the determinants of such a more severe outcome remain largely unknown. We have determined the full-length SARS-CoV-2 genomic sequences of cancer patients and healthcare workers (non-cancer controls) by deep sequencing and investigated the within-host viral population of each infection, quantifying intrahost genetic diversity. Naso- and oropharyngeal SARS-CoV-2 swabs from 57 cancer patients and 14 healthcare workers from the Brazilian National Cancer Institute were collected in April to May 2020. Complete genome amplification using ARTIC network V3 multiplex primers was performed followed by next-generation sequencing. Assemblies were conducted in Geneious R11, where consensus sequences were extracted and intrahost single nucleotide variants were identified. Maximum likelihood phylogenetic analysis was performed using PhyMLv.3.0 and lineages were classified using Pangolin and CoV-GLUE. Phylogenetic analysis showed that all but one strain belonged to clade B1.1. Four genetically linked mutations known as the globally dominant SARS-CoV-2 haplotype (C241T, C3037T, C14408T and A23403G) were found in the majority of consensus sequences. SNV signatures of previously characterized Brazilian genomes were also observed in most samples. Another 85 SNVs were found at a lower frequency (1.4%-19.7%) among the consensus sequences. Cancer patients displayed a significantly higher intrahost viral genetic diversity compared to healthcare workers. This difference was independent of SARS-CoV-2 Ct values obtained at the diagnostic tests, which did not differ between the two groups. The most common nucleotide changes of intrahost SNVs in both groups were consistent with APOBEC and ADAR activities. Intrahost genetic diversity in cancer patients was not associated with disease severity, use of corticosteroids, or use of antivirals, characteristics that could influence viral diversity. Moreover, the presence of metastasis, either in general or specifically in the lung, was not associated with intrahost diversity among cancer patients. Cancer patients carried significantly higher numbers of minor variants compared to non-cancer counterparts. Further studies on SARS-CoV-2 diversity in especially vulnerable patients will shed light onto the understanding of the basis of COVID-19 different outcomes in humans.
已确定有多种因素会影响对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染的易感性和疾病严重程度。癌症患者临床上更容易发展为更严重的COVID-19病情,但这种更严重结果的决定因素在很大程度上仍不清楚。我们通过深度测序确定了癌症患者和医护人员(非癌症对照)的全长SARS-CoV-2基因组序列,并研究了每种感染的宿主体内病毒群体,量化了宿主体内的遗传多样性。2020年4月至5月收集了巴西国家癌症研究所57名癌症患者和14名医护人员的鼻咽和口咽SARS-CoV-2拭子。使用ARTIC网络V3多重引物进行全基因组扩增,随后进行下一代测序。在Geneious R11中进行组装,提取共识序列并鉴定宿主体内单核苷酸变异。使用PhyMLv.3.0进行最大似然系统发育分析,并使用Pangolin和CoV-GLUE对谱系进行分类。系统发育分析表明,除一个菌株外,所有菌株均属于B1.1进化枝。在大多数共识序列中发现了四个被称为全球主导的SARS-CoV-2单倍型(C241T、C3037T、C14408T和A23403G)的基因连锁突变。在大多数样本中也观察到了先前表征的巴西基因组的单核苷酸变异特征。在共识序列中还发现了另外85个低频单核苷酸变异(1.4%-19.7%)。与医护人员相比,癌症患者宿主体内的病毒遗传多样性显著更高。这种差异与诊断测试中获得的SARS-CoV-2 Ct值无关,两组之间的Ct值没有差异。两组宿主体内单核苷酸变异最常见的核苷酸变化与载脂蛋白B mRNA编辑酶催化多肽样蛋白(APOBEC)和腺苷脱氨酶作用于RNA(ADAR)的活性一致。癌症患者宿主体内的遗传多样性与疾病严重程度、皮质类固醇的使用或抗病毒药物的使用无关,这些特征可能会影响病毒多样性。此外,无论是总体上还是特别是在肺部存在转移,都与癌症患者宿主体内的多样性无关。与非癌症患者相比,癌症患者携带的次要变异数量明显更多。对特别易感染患者中SARS-CoV-2多样性的进一步研究将有助于理解COVID-19在人类中不同结果的基础。