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Development of a novel six DNA damage response-related prognostic signature in osteosarcoma.
Li, Tianyang; Tang, Zhenzhou; Li, Sucheng; Lu, Minhua.
Afiliación
  • Li T; Department of Orthopedics, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital) , Suzhou City, 215000, Jiangsu Province, China. lty_saint@163.com.
  • Tang Z; Department of Orthopedics, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital) , Suzhou City, 215000, Jiangsu Province, China. doctorsztzz@163.com.
  • Li S; Department of Orthopedics, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital) , Suzhou City, 215000, Jiangsu Province, China. Suchenglee@foxmail.com.
  • Lu M; Department of Orthopedics, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital) , Suzhou City, 215000, Jiangsu Province, China. lmh910307@126.com.
Cell Mol Biol (Noisy-le-grand) ; 70(3): 110-115, 2024 Mar 31.
Article en En | MEDLINE | ID: mdl-38650147
ABSTRACT
DNA damage response (DDR) plays a vital role in the development of cancer. Nevertheless, in osteosarcoma, the potential of DDR-related genes (DDRGs) remains unclear. Thus, the current research is intended to investigate the mechanisms of DDRGs in the development of osteosarcoma and to explore potential DDR-related biomarkers in forecasting the prognosis of osteosarcoma patients. The osteosarcoma genomic data from TCGA, GEO and cBioPortal databases were utilized for screening and identification of differentially expressed DDRGs (DEDDRGs). Consensus clustering analysis was performed to identify different subtypes of osteosarcoma based on the expressions of DDRGs. Key DEDRRGs were identified by overlapping DEDRRGs between different subtypes and DEDRRGs between tumor and control samples. Univariate, as well as LASSO regressions, were further applied to obtain robust prognostic signatures. GSVA and ssGSEA analysis were implemented to explore the underlying mechanisms of prognostic DDRG signature in regulating osteosarcoma. In addition, the drug sensitivity of patients in low- and high-risk groups was evaluated using pRRophetic algorithm. A total of 43 key DEDRRGs were identified. Followed by univariate Cox along with LASSO regression analyses, CDK6, CSF1R, EGFR, ERBB4, GATA3 and SOCS1 were identified as prognostic signatures in osteosarcoma. Cox regressions revealed that the risk score was an independent prognostic factor in osteosarcoma.  DDR may affect osteosarcoma via regulating immune microenvironment along with influencing cell proliferation, migration, adhesion and apoptosis. The chemotherapeutic response between patients in low- and high-risk groups was much different. The role of DDRGs in osteosarcoma and identified six DDR-linked biomarkers for forecasting the prognosis of osteosarcoma patients. Our outcomes enhanced the understanding of DDR-related molecular mechanisms involved in osteosarcoma and provided potential therapeutic targets for osteosarcoma patients.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Óseas / Daño del ADN / Osteosarcoma / Regulación Neoplásica de la Expresión Génica Límite: Female / Humans Idioma: En Revista: Cell Mol Biol (Noisy-le-grand) Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Óseas / Daño del ADN / Osteosarcoma / Regulación Neoplásica de la Expresión Génica Límite: Female / Humans Idioma: En Revista: Cell Mol Biol (Noisy-le-grand) Asunto de la revista: BIOLOGIA MOLECULAR Año: 2024 Tipo del documento: Article País de afiliación: China