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Comprehensive Immuno-Molecular Profiles for Liposarcoma: Roles of Programmed Death Ligand 1, Microsatellite Instability, and PIK3CA

Authors
 Jeon, Hyae Min  ;  Lee, Jae Seok  ;  Kim, Soo Hee  ;  Yun, Kum-Hee  ;  Park, Kyu Hyun  ;  Jeon, Min Kyung  ;  Lee, Young Han  ;  Yoon, Hong In  ;  Suh, Jin-Suck  ;  Hur, Hyuk  ;  Kim, Kyung Sik  ;  Kim, Sunghoon  ;  Kim, Seung Hyun  ;  Kim, Hyo Song 
Citation
 ONCOLOGY, Vol.98(11) : 817-826, 2020-11 
Journal Title
ONCOLOGY
ISSN
 0030-2414 
Issue Date
2020-11
Keywords
Liposarcoma ; Molecular subtypes ; Programmed Death Ligand 1 ; Microsatellite instability ; PIK3CA
Abstract
Background: Developing personalized strategies for cancer has shown good efficacies. Methods: We assessed the molecular targets programmed death ligand 1 (PD-L1), microsatellite instability (MSI), and PIK3CA. Seventy-four patients with liposarcomas who underwent curative resection were assessed for PD-L1 expression in the tumor and tumor-infiltrating lymphocytes (TILs), mismatch repair proteins (MLH1, PMS2, MSH2, and MSH6) by immunohistochemistry, MSI using polymerase chain reaction, and PIK3CA mutation/amplification using pyrosequencing and fluorescence in situ hybridization. Results: Seventeen (23%) cases were TIL+ (>= 1 + expression) and associated with longer 5-year overall survival than those with TIL- tumors (84.4 vs. 60.8%, p = 0.007). Six (35.3%) PD-L1(+) tumors were detected only in TIL+ cases, with none detected in tumor cells. Two well-differentiated liposarcomas showed MSI, one low and one high with concurrent loss of MLH1, MSH6, and PMS2. PIK3CA mutation was detected in 7 (9.5%) [exon 9 (n = 4) and exon 20 (n = 3)] and only 1 Q546K mutation was a PD-L1(+) tumor. PIK3CA copy number gain was detected in 18 (24.4%) and was associated with TIL+ tumors (p = 0.045). Conclusions: Our comprehensive immuno-molecular panel suggests that liposarcoma should be categorized based on the molecular genomic subtype for precision medicine.
DOI
10.1159/000509004
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Obstetrics and Gynecology (산부인과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Orthopedic Surgery (정형외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Kyung Sik(김경식) ORCID logo https://orcid.org/0000-0001-9498-284X
Kim, Sung Hoon(김성훈) ORCID logo https://orcid.org/0000-0002-1645-7473
Kim, Seung Hyun(김승현) ORCID logo https://orcid.org/0000-0002-3878-1944
Kim, Hyo Song(김효송) ORCID logo https://orcid.org/0000-0002-0625-9828
Suh, Jin Suck(서진석) ORCID logo https://orcid.org/0000-0001-9455-9240
Yoon, Hong In(윤홍인) ORCID logo https://orcid.org/0000-0002-2106-6856
Lee, Young Han(이영한) ORCID logo https://orcid.org/0000-0002-5602-391X
Jeon, Min Kyung(전민경)
Hur, Hyuk(허혁) ORCID logo https://orcid.org/0000-0002-9864-7229
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/180188
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