Integrated analysis of cervical squamous cell carcinoma cohorts from three continents reveals conserved subtypes of prognostic significance.
Integrated analysis of cervical squamous cell carcinoma cohorts from three continents reveals conserved subtypes of prognostic significance.
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对来自三大洲的宫颈鳞癌队列的综合分析揭示了具有预后意义的保守亚型。
DOI:
10.1038/s41467-022-33544-x
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发表时间:
2022-10-07
影响因子:
16.6
通讯作者:
中科院分区:
文献类型:
--
作者:
Human papillomavirus (HPV)-associated cervical cancer is a leading cause of cancer deaths in women. Here we present an integrated multi-omic analysis of 643 cervical squamous cell carcinomas (CSCC, the most common histological variant of cervical cancer), representing patient populations from the USA, Europe and Sub-Saharan Africa and identify two CSCC subtypes (C1 and C2) with differing prognosis. C1 and C2 tumours can be driven by either of the two most common HPV types in cervical cancer (16 and 18) and while HPV16 and HPV18 are overrepresented among C1 and C2 tumours respectively, the prognostic difference between groups is not due to HPV type. C2 tumours, which comprise approximately 20% of CSCCs across these cohorts, display distinct genomic alterations, including loss or mutation of the STK11 tumour suppressor gene, increased expression of several immune checkpoint genes and differences in the tumour immune microenvironment that may explain the shorter survival associated with this group. In conclusion, we identify two therapy-relevant CSCC subtypes that share the same defining characteristics across three geographically diverse cohorts. Human papillomavirus (HPV) is a known cause of cervical cancer. Here, the authors perform a multi-omic analysis using published cervical squamous cell carcinoma cohorts from the USA, Europe, and SubSaharan Africa and identify two cervical squamous cell carcinoma subtypes that display prognostic differences.
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影响因子:
6.4
作者:
de Martel C;Plummer M;Vignat J;Franceschi S
通讯作者:
Franceschi S
影响因子:
7.4
作者:
Gorter A;Prins F;van Diepen M;Punt S;van der Burg SH
通讯作者:
van der Burg SH
影响因子:
4.6
作者:
Fantini D;Vidimar V;Yu Y;Condello S;Meeks JJ
通讯作者:
Meeks JJ
影响因子:
50.3
作者:
Costa, Ana;Kieffer, Yann;Mechta-Grigoriou, Fatima
通讯作者:
Mechta-Grigoriou, Fatima
影响因子:
64.8
作者:
Fischer KR;Durrans A;Lee S;Sheng J;Li F;Wong ST;Choi H;El Rayes T;Ryu S;Troeger J;Schwabe RF;Vahdat LT;Altorki NK;Mittal V;Gao D
通讯作者:
Gao D