Open AccessWhole‐exome sequencing predicted cancer epitope trees of 23 early cervical cancers in Chinese women
Author(s) -
Li Xia,
Huang Hailiang,
Guan Yanfang,
Gong Yuhua,
He ChengYi,
Yi Xin,
Qi Ming,
Chen ZhiYing
Publication year - 2017
Publication title -
cancer medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.403
H-Index - 53
ISSN - 2045-7634
DOI - 10.1002/cam4.953
Subject(s) - epitope , biology , computational biology , exome sequencing , immunotherapy , phylogenetic tree , carcinogenesis , cancer , major histocompatibility complex , genetics , cervical cancer , mutation , cancer research , antigen , gene
Emerging evidence suggest that the heterogeneity of cancer limits the efficacy of immunotherapy. To search for optimal therapeutic targets for enhancing the efficacy, we used whole‐exome sequencing data of 23 early cervical tumors from Chinese women to investigate the hierarchical structure of the somatic mutations and the neo‐epitopes. The putative neo‐epitopes were predicted based on the mutant peptides’ strong binding with major histocompatibility complex class I molecules. We found that each tumor carried an average of 117 mutations and 61 putative neo‐epitopes. Each patient displayed a unique phylogenetic tree in which almost all subclones harbored neo‐epitopes, highlighting the importance of individual neo‐epitope tree in determination of immunotherapeutic targets. The alterations in FBXW7 and PIK3CA , or other members of the significantly altered ubiquitin‐mediated proteolysis and extracellular matrix receptor interaction related pathways, were proposed as the earliest changes triggering the malignant progression. The neo‐epitopes involved in these pathways, and located at the top of the hierarchy tree, might become the optimal candidates for therapeutic targets, possessing the potential to mediate T‐cell killing of the descendant cells. These findings expanded our understanding in early stage of cervical carcinogenesis and offered an important approach to assist optimizing the immunotherapeutic target selection.