TY - JOUR
T1 - Somatic genomic landscape of East Asian epithelial ovarian carcinoma and its clinical implications from prospective clinical sequencing
T2 - A Korean Gynecologic Oncology Group study (KGOG 3047)
AU - Sa, Jason K.
AU - Kim, Jihye
AU - Kang, Sokbom
AU - Kim, Sang Wun
AU - Song, Taejong
AU - Shim, Seung Hyuk
AU - Choi, Min Chul
AU - No, Jae Hong
AU - Song, Jae Yun
AU - Kim, Deokhoon
AU - Kim, Yong Man
AU - Kim, Jae Hoon
AU - Lee, Jeong Won
N1 - Publisher Copyright:
© 2022 UICC.
PY - 2022/10/1
Y1 - 2022/10/1
N2 - Through the wide adaptation of next-generation sequencing (NGS) technology within clinical practice, molecular profiling of the tumor has been the principal component of personalized treatment. In our study, we have generated a large collection of cancer genomes on East Asian epithelial ovarian carcinoma (EOC) patients and demonstrate the feasibility and utility of NGS platforms to explore the dynamic interrelations of major cancer driver alterations and their impacts on clinical prognosis and management. A total of 652 EOC patients have undergone clinical NGS panels to determine the prevalence of germline and somatic mutations. Notably, TP53 was the most frequently altered event (73%), followed by both BRCA1 and BRCA2 (22% each) and MYC (19%) through pan-EOC analysis. When analyzed based on individual histopathological levels, TP53 mutation was highly dominant in high-grade serous and mucinous histology, whereas mutations in PIK3CA and ARID1A were mostly observed in clear cell carcinoma, and KRAS, BRAF, and CDKN2A mutations were enriched in endometrioid, low-grade serous, and mucinous tumors, respectively. The network-based probabilistic model showed significant co-occurrences of TP53 with BRCA1 and ALK with BRCA2, NOTCH1, and ROS1, whereas mutual exclusivity of TP53 with KRAS and PIK3CA was evident. Furthermore, we utilized machine-learning algorithms to identify molecular correlates that conferred increased sensitivity to platinum and olaparib treatments including somatic mutations in BRCA1, ATM, and MYC. Conversely, patients with ALK mutation were considerably resistant to both treatment modalities. Collectively, our results demonstrate the clinical feasibility of prospective genetic sequencing to facilitate personalized treatment opportunities for patients with EOC.
AB - Through the wide adaptation of next-generation sequencing (NGS) technology within clinical practice, molecular profiling of the tumor has been the principal component of personalized treatment. In our study, we have generated a large collection of cancer genomes on East Asian epithelial ovarian carcinoma (EOC) patients and demonstrate the feasibility and utility of NGS platforms to explore the dynamic interrelations of major cancer driver alterations and their impacts on clinical prognosis and management. A total of 652 EOC patients have undergone clinical NGS panels to determine the prevalence of germline and somatic mutations. Notably, TP53 was the most frequently altered event (73%), followed by both BRCA1 and BRCA2 (22% each) and MYC (19%) through pan-EOC analysis. When analyzed based on individual histopathological levels, TP53 mutation was highly dominant in high-grade serous and mucinous histology, whereas mutations in PIK3CA and ARID1A were mostly observed in clear cell carcinoma, and KRAS, BRAF, and CDKN2A mutations were enriched in endometrioid, low-grade serous, and mucinous tumors, respectively. The network-based probabilistic model showed significant co-occurrences of TP53 with BRCA1 and ALK with BRCA2, NOTCH1, and ROS1, whereas mutual exclusivity of TP53 with KRAS and PIK3CA was evident. Furthermore, we utilized machine-learning algorithms to identify molecular correlates that conferred increased sensitivity to platinum and olaparib treatments including somatic mutations in BRCA1, ATM, and MYC. Conversely, patients with ALK mutation were considerably resistant to both treatment modalities. Collectively, our results demonstrate the clinical feasibility of prospective genetic sequencing to facilitate personalized treatment opportunities for patients with EOC.
KW - cancer genome
KW - epithelial ovarian carcinoma
KW - next-generation sequencing
KW - olaparib
KW - personalized medicine
UR - http://www.scopus.com/inward/record.url?scp=85132831245&partnerID=8YFLogxK
U2 - 10.1002/ijc.34150
DO - 10.1002/ijc.34150
M3 - Article
C2 - 35666535
AN - SCOPUS:85132831245
SN - 0020-7136
VL - 151
SP - 1086
EP - 1097
JO - International Journal of Cancer
JF - International Journal of Cancer
IS - 7
ER -