TY - JOUR
T1 - Methylation-based reclassification and risk stratification of skull-base chordomas
AU - Huo, Xulei
AU - Guo, Tengxian
AU - Wang, Ke
AU - Yao, Bohan
AU - Li, Da
AU - Li, Huan
AU - Chen, Wei
AU - Wang, Liang
AU - Wu, Zhen
N1 - Publisher Copyright:
Copyright © 2022 Huo, Guo, Wang, Yao, Li, Li, Chen, Wang and Wu.
PY - 2022/11/11
Y1 - 2022/11/11
N2 - Background: Skull-base chordomas are rare malignant bone cancers originating from the remnant of the notochord. Survival is variable, and clinical or molecular factors cannot reliably predict their outcomes. This study therefore identified epigenetic subtypes that defined new chordoma epigenetic profiles and their corresponding characteristics. Methods: Methylation profiles of 46 chordoma-resected neoplasms between 2008 and 2014, along with clinical information, were collected. K-means consensus clustering and principal component analysis were used to identify and validate the clusters. Single-sample gene set enrichment analysis, methylCIBERSORT algorithm, and copy number analysis were used to identify the characteristics of the clusters. Results: Unsupervised clustering analysis confirmed two clusters with a progression-free survival difference. Gene set enrichment analysis indicated that the early and late estrogen response pathways and the hypoxia pathway were activated whereas the inflammatory and interferon gamma responses were suppressed. Forty-six potential therapeutic targets corresponding to differentially methylated sites were identified from chordoma patients. Subgroups with a worse outcome were characterized by low immune cell infiltration, higher tumor purity, and higher stemness indices. Moreover, copy number amplifications mostly occurred in cluster 1 tumors and the high-risk group. Additionally, the presence of a CCNE1 deletion was exclusively found in the group of chordoma patients with better outcome, whereas RB1 and CDKN2A/2B deletions were mainly found in the group of chordoma patients with worse outcome. Conclusions: Chordoma prognostic epigenetic subtypes were identified, and their corresponding characteristics were found to be variable.
AB - Background: Skull-base chordomas are rare malignant bone cancers originating from the remnant of the notochord. Survival is variable, and clinical or molecular factors cannot reliably predict their outcomes. This study therefore identified epigenetic subtypes that defined new chordoma epigenetic profiles and their corresponding characteristics. Methods: Methylation profiles of 46 chordoma-resected neoplasms between 2008 and 2014, along with clinical information, were collected. K-means consensus clustering and principal component analysis were used to identify and validate the clusters. Single-sample gene set enrichment analysis, methylCIBERSORT algorithm, and copy number analysis were used to identify the characteristics of the clusters. Results: Unsupervised clustering analysis confirmed two clusters with a progression-free survival difference. Gene set enrichment analysis indicated that the early and late estrogen response pathways and the hypoxia pathway were activated whereas the inflammatory and interferon gamma responses were suppressed. Forty-six potential therapeutic targets corresponding to differentially methylated sites were identified from chordoma patients. Subgroups with a worse outcome were characterized by low immune cell infiltration, higher tumor purity, and higher stemness indices. Moreover, copy number amplifications mostly occurred in cluster 1 tumors and the high-risk group. Additionally, the presence of a CCNE1 deletion was exclusively found in the group of chordoma patients with better outcome, whereas RB1 and CDKN2A/2B deletions were mainly found in the group of chordoma patients with worse outcome. Conclusions: Chordoma prognostic epigenetic subtypes were identified, and their corresponding characteristics were found to be variable.
KW - DNA methylation
KW - copy number variation
KW - infiltration immune level
KW - prognostic biomarker
KW - stemness indices
UR - https://www.scopus.com/pages/publications/85142650452
U2 - 10.3389/fonc.2022.960005
DO - 10.3389/fonc.2022.960005
M3 - 文章
AN - SCOPUS:85142650452
SN - 2234-943X
VL - 12
JO - Frontiers in Oncology
JF - Frontiers in Oncology
M1 - 960005
ER -