Tumor mutation burden estimated by a 69-gene-panel is associated with overall survival in patients with diffuse large B-cell lymphoma

被引:30
作者
Chen, Cunte [1 ]
Liu, Sichu [2 ]
Jiang, Xinmiao [2 ]
Huang, Ling [2 ]
Chen, Feili [2 ]
Wei, Xiaojun [2 ]
Guo, Hanguo [2 ]
Shao, Yang [3 ,4 ]
Li, Yangqiu [1 ,4 ]
Li, Wenyu [2 ,4 ]
机构
[1] Jinan Univ, Minist Educ, Sch Med, Key Lab Regenerat Med,Inst Hematol, Guangzhou, Peoples R China
[2] South China Univ Technol, Guangdong Acad Med Sci, Sch Med, Dept Lymphoma,Guangdong Prov Peoples Hosp, Guangzhou, Peoples R China
[3] Nanjing Geneseq Technol Inc, Nanjing, Peoples R China
[4] Nanjing Med Univ, Sch Publ Hlth, Nanjing, Jiangsu, Peoples R China
关键词
TMB; Gene panel; Prognosis; Biomarker; Diffuse large B-cell lymphoma;
D O I
10.1186/s40164-021-00215-4
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundTumor mutation burden (TMB) as estimated by cancer gene panels (CGPs) has been confirmed to be associated with prognosis and is effective in predicting clinical benefit from immune checkpoint blockade (ICB) in solid tumors. However, whether the TMB calculated by CGPs is associated with overall survival (OS) for patients with diffuse large B-cell lymphoma (DLBCL) is worth exploring.MethodsThe prognostic value of panel-TMB, calculated by a panel of 69 genes (GP69), for 87 DLBCL patients in our clinical center (GDPH dataset) was explored. The results were further validated using 37 DLBCL patients from the Cancer Genome Atlas (TCGA) database (TCGA dataset).ResultsSpearman correlation analysis suggested that panel-TMB is positively correlated with the TMB calculated by whole-exome sequencing (wTMB) in the TCGA dataset (R=0.76, P<0.0001). Both GDPH and TCGA results demonstrated that higher panel-TMB is significantly associated with a poor OS for DLBCL patients (P<0.05) where a panel of 13 genes was associated with poor OS, and another panel of 26 genes was correlated with a favorable OS for DLBCL patients. Further subgroup analysis indicated that higher panel-TMB had shorter OS in DLBCL patients with younger than 60 years, elevated LDH, greater than one extranodal involvement, stage III/IV, an IPI score of 3-5, or HBsAg, anti-HBc, or HBV-DNA negativity (P<0.05). Interestingly, the nomogram model constructed by panel-TMB, stage, and IPI could individually and visually predict the 1-, 2- and 3-year OS rates of DLBCL patients.ConclusionsWe established GP69 for the evaluation of OS for Chinese DLBCL patients. panel-TMB might be a potential predictor for prognostic stratification of DLBCL patients.
引用
收藏
页数:11
相关论文
共 37 条
[1]   Comparison of commonly used solid tumor targeted gene sequencing panels for estimating tumor mutation burden shows analytical and prognostic concordance within the cancer genome atlas cohort [J].
Bevins, Nicholas ;
Sun, Shulei ;
Gaieb, Zied ;
Thorson, John A. ;
Murray, Sarah S. .
JOURNAL FOR IMMUNOTHERAPY OF CANCER, 2020, 8 (01)
[2]   Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden [J].
Chalmers, Zachary R. ;
Connelly, Caitlin F. ;
Fabrizio, David ;
Gay, Laurie ;
Ali, Siraj M. ;
Ennis, Riley ;
Schrock, Alexa ;
Campbell, Brittany ;
Shlien, Adam ;
Chmielecki, Juliann ;
Huang, Franklin ;
He, Yuting ;
Sun, James ;
Tabori, Uri ;
Kennedy, Mark ;
Lieber, Daniel S. ;
Roels, Steven ;
White, Jared ;
Otto, Geoffrey A. ;
Ross, Jeffrey S. ;
Garraway, Levi ;
Miller, Vincent A. ;
Stephens, Phillip J. ;
Frampton, Garrett M. .
GENOME MEDICINE, 2017, 9
[3]   Expression patterns of immune checkpoints in acute myeloid leukemia [J].
Chen, Cunte ;
Liang, Chaofeng ;
Wang, Shunqing ;
Chio, Chi Leong ;
Zhang, Yuping ;
Zeng, Chengwu ;
Chen, Shaohua ;
Wang, Caixia ;
Li, Yangqiu .
JOURNAL OF HEMATOLOGY & ONCOLOGY, 2020, 13 (01)
[4]   Clinicopathological Characteristics and Mutational Profiling of Adult T-Cell Lymphoblastic Lymphoma in a Chinese Population [J].
Chen, Feili ;
Pang, Diwen ;
Guo, Hanguo ;
Jiang, Xinmiao ;
Liu, Sichu ;
Huang, Ling ;
Wei, Xiaojuan ;
Liang, Zhanli ;
Wang, Xiaoxia ;
Li, Wenyu .
CANCER MANAGEMENT AND RESEARCH, 2020, 12 :3003-3012
[5]   The frequency and inter-relationship of PD-L1 expression and tumour mutational burden across multiple types of advanced solid tumours in China [J].
Chen, Yanhui ;
Wang, Yating ;
Luo, Hongli ;
Meng, Xue ;
Zhu, Wei ;
Wang, Di ;
Zeng, Hui ;
Zhang, Henghui .
EXPERIMENTAL HEMATOLOGY & ONCOLOGY, 2020, 9 (01)
[6]   Long-term outcome of patients in the LNH-98.5 trial, the first randomized study comparing rituximab-CHOP to standard CHOP chemotherapy in DLBCL patients: a study by the Groupe d'Etudes des Lymphomes de l'Adulte [J].
Coiffier, Bertrand ;
Thieblemont, Catherine ;
Van Den Neste, Eric ;
Lepeu, Gerard ;
Plantier, Isabelle ;
Castaigne, Sylvie ;
Lefort, Sophie ;
Marit, Gerald ;
Macro, Margaret ;
Sebban, Catherine ;
Belhadj, Karim ;
Bordessoule, Dominique ;
Ferme, Christophe ;
Tilly, Herve .
BLOOD, 2010, 116 (12) :2040-2045
[7]   Cell cycle regulation and hematologic malignancies [J].
Dai, Yun ;
Jin, Fengyan ;
Wu, Wei ;
Kumar, Shaji K. .
BLOOD SCIENCE, 2019, 1 (01) :34-43
[8]   Survival analysis in hematologic malignancies: recommendations for clinicians [J].
Delgado, Julio ;
Pereira, Arturo ;
Villamor, Neus ;
Lopez-Guillermo, Armando ;
Rozman, Ciril .
HAEMATOLOGICA, 2014, 99 (09) :1410-1420
[9]   Hepatitis B virus-associated diffuse large B-cell lymphoma: unique clinical features, poor outcome, and hepatitis B surface antigen-driven origin [J].
Deng, Lijuan ;
Song, Yuqin ;
Young, Ken H. ;
Hu, Shimin ;
Ding, Ning ;
Song, Weiwei ;
Li, Xianghong ;
Shi, Yunfei ;
Huang, Huiying ;
Liu, Weiping ;
Zheng, Wen ;
Wang, Xiaopei ;
Xie, Yan ;
Lin, Ningjing ;
Tu, Meifeng ;
Ping, Lingyan ;
Ying, Zhitao ;
Zhang, Chen ;
Sun, Yingli ;
Zhu, Jun .
ONCOTARGET, 2015, 6 (28) :25061-25073
[10]   RDGN-based predictive model for the prognosis of breast cancer [J].
Dong, Bing ;
Yi, Ming ;
Luo, Suxia ;
Li, Anping ;
Wu, Kongming .
EXPERIMENTAL HEMATOLOGY & ONCOLOGY, 2020, 9 (01)