Genetic risk of extranodal natural killer T-cell lymphoma: a genome-wide association study in multiple populations

Lin, Guo‐Wang; Xu, Caigang; Chen, Kexin; Huang, Huiqiang; Chen, Jieping; Song, Bao-Liang; Chan, John K.; Li, Wenyu; Liu, Weiping; Shih, Lee‐Yung; Chuang, Wen-Yu; Kim, Won Seog; Tan, Wen; Peng, Roujun; Laurensia, Yurike; Cheah, Daryl Ming Zhe; Huang, Dachuan; Cheng, Chee Leong; Su, Yi‐Jiun; Tan, Soo‐Yong; Ng, Siok-Bian; Tang, Tiffany; Han, Kyudong; Wang, Vivien Ya-Fan; Jia, Wei‐Hua; Pei, Zhong; Li, Yajun; Gao, Song; Shi, Yongyong; Hu, Zhibin; Zhang, Furen; Zhang, Ben; Zeng, Yi‐Xin; Shen, Hongbing; He, Lin; Ong, Choon Kiat; Lim, Soon Thye; Chanock, Stephen J.; Kwong, Yok–Lam; Lin, Dong; Rothman, Nathaniel; Khor, Chiea Chuen; Lan, Qing; Bei, Jin‐Xin; Au, Wing‐Yan; Chiu, Brian C.‐H.; Fan, Lei; Li, Zheng; Lam, Tai Hing; Liang, Raymond; Yeh, Su‐Peng; Xu, Jun; Ip, Dennis Kai Ming; Li, Gan-di; Xu, Gang; Wang, Xiaodong; Bai, Ou; Cai, Qingqing; Xia, Yi; Chen, Jierong; Luo, Chunling; Xiong, Xiangyu; Zeng, Yanni; Wei, Panpan; Liu, Chu‐Jun; Liu, Yuxiang; Cao, Yu-Lu; He, Shuai; Liu, Yang; Ha, Jeslin Chian Hung; Khoo, Lay Poh; Kee, Rebecca; Tan, Jian; Liu, Qing; Zhang, Fen; Feng, Yan; Rao, Hui‐Lan; Chng, Wee Joo; Chan, Jason Yongsheng; Somasundaram, Nagavalli; Tao, Miriam; Ras, Mohamad Farid Bin Harunal; Yeoh, Kheng-Wei; Goh, Yeow Tee; Ong, Shin Yeu; Grigoropoulos, Nicholas F.; Wong, Esther Kam Yin; Pang, Jane Wan Lu; Lim, Jing Quan; Chia, Burton Kuan Hui; Kim, Seok Jin; Yoon, Sang Eun; Choi, Seungkyu; Kuo, Ching‐Yuan; Chen, Tsai-Yun; Su, Yu-Chieh; Huang, Wen-Tsung; Lee, Ming-Yang; Yao, Wenxiu; Ngan, Kai-Cheong; Liu, Herman; Lee, Harold; Yip, Sze‐Fai; Liu, Jie; Li, Jianyong; Rabkin, Charles S.; Berndt, Sonja I.; Bassig, Bryan A.; Hu, Wei; Zhao, Mingfeng; Li, Yuming; Zhai, Qiong-Li; Shao, Zonghong; Qiu, Lugui; Wang, Jianxiang; Xu, Fuping; Chen, Ling; Hou, Yu; Xu, Shuangnian; Huang, Zhen; Xie, Mingling; Li, Ming; Zhong, Shilong; Zhang, Yan; Gu, Dongqing; Wang, Xin; Foo, Jia Nee; Li, Zhiqiang; Dai, Juncheng; Sun, Liangdan; Wang, Zhenzhen; Liu, Hong; Zhou, Hui; Sun, Yonghu; Koh, Woon‐Puay; Heng, Chew‐Kiat; Hong, Chew Soo; Ahn, Jeeyun; Park, Kyu Hyung; Aung, Tin; J, Gu; Xia, Xiaojun; Li, Bo; Yu, Xueqing

doi:10.1016/s1470-2045(19)30799-5

Cited by 51 publications

(46 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…PD-1 blockade has been a promising therapeutic option for NKTCL [2,3], and this was corroborated by the overall response rate (47.4%, 9/19) observed in our initial retrospective pembrolizumab-treated cohort. NKTCL has been associated with ubiquitous EBV infection and, HLA-DPB1, HLA-DRB1 and IL18RAP polymorphisms, suggesting the involvement of immune evasion in its tumorigenesis [12,13]. EBV is mostly presented as a clonal episomal form with type II latency (EBNA1+, EBNA2-, and LMP1+) in NKTCL [5].…”

Section: To the Editormentioning

confidence: 99%

Whole-genome sequencing identifies responders to Pembrolizumab in relapse/refractory natural-killer/T cell lymphoma

et al. 2020

Self Cite

View full text Add to dashboard Cite

Section: To the Editormentioning

confidence: 99%

Whole-genome sequencing identifies responders to Pembrolizumab in relapse/refractory natural-killer/T cell lymphoma

et al. 2020

Self Cite

View full text Add to dashboard Cite

“…IL18RAP also modulates the TME and impacts cancer progression through proinflammatory functions. ILI8RAP is an accessory subunit of the heterodimeric interleukin 18 (IL18) receptor (35). CD40 is a member of the TNF receptor superfamily (36).…”

Section: Discussionmentioning

confidence: 99%

Identification of Genes Related to Immune Infiltration in the Tumor Microenvironment of Cutaneous Melanoma

et al. 2021

View full text Add to dashboard Cite

Cutaneous melanoma (CM) is the leading cause of skin cancer deaths and is typically diagnosed at an advanced stage, resulting in a poor prognosis. The tumor microenvironment (TME) plays a significant role in tumorigenesis and CM progression, but the dynamic regulation of immune and stromal components is not yet fully understood. In the present study, we quantified the ratio between immune and stromal components and the proportion of tumor-infiltrating immune cells (TICs), based on the ESTIMATE and CIBERSORT computational methods, in 471 cases of skin CM (SKCM) obtained from The Cancer Genome Atlas (TCGA) database. Differentially expressed genes (DEGs) were analyzed by univariate Cox regression analysis, least absolute shrinkage, and selection operator (LASSO) regression analysis, and multivariate Cox regression analysis to identify prognosis-related genes. The developed prognosis model contains ten genes, which are all vital for patient prognosis. The areas under the curve (AUC) values for the developed prognostic model at 1, 3, 5, and 10 years were 0.832, 0.831, 0.880, and 0.857 in the training dataset, respectively. The GSE54467 dataset was used as a validation set to determine the predictive ability of the prognostic signature. Protein–protein interaction (PPI) analysis and weighted gene co-expression network analysis (WGCNA) were used to verify “real” hub genes closely related to the TME. These hub genes were verified for differential expression by immunohistochemistry (IHC) analyses. In conclusion, this study might provide potential diagnostic and prognostic biomarkers for CM.

show abstract

“…Recent research reported that HSPA4 is a tumor membrane antigen that can promote tumor metastasis by activating the NF-κB pathway in tumor cells once ligated with the pathogenic anti-HSPA4 IgG (Gu et al, 2019). Lin, et al indicated that the knockdown of IL18RAP inhibited cell proliferation by causing cell cycle arrest in extranodal natural killer T-cell lymphoma cells, which might be a potential therapeutic target (Lin et al, 2020). NFYC was previously identified as an important regulator in tumorigenesis of choroid plexus carcinoma (Tong et al, 2015).…”

Section: Discussionmentioning

confidence: 99%

Risk Signature Related to Immunotherapy Reaction of Hepatocellular Carcinoma Based on the Immune-Related Genes Associated With CD8+ T Cell Infiltration

Zou

Chen

Han

et al. 2021

Front. Mol. Biosci.

View full text Add to dashboard Cite

Background: Hepatocellular carcinoma (HCC) is the most common histological type of liver cancer, with an unsatisfactory long-term survival rate. Despite immune checkpoint inhibitors for HCC have got glories in recent clinical trials, the relatively low response rate is still a thorny problem. Therefore, there is an urgent need to screen biomarkers of HCC to predict the prognosis and efficacy of immunotherapy.Methods: Gene expression profiles of HCC were retrieved from TCGA, GEO, and ICGC databases while the immune-related genes (IRGs) were retrieved from the ImmPort database. CIBERSORT and WGCNA algorithms were combined to identify the gene module most related to CD8+ T cells in the GEO cohort. Subsequently, the genes in hub modules were subjected to univariate, LASSO, and multivariate Cox regression analyses in the TCGA cohort to develop a risk signature. Afterward, the accuracy of the risk signature was validated by the ICGC cohort, and its relationships with CD8+ T cell infiltration and PDL1 expression were explored.Results: Nine IRGs were finally incorporated into a risk signature. Patients in the high-risk group had a poorer prognosis than those in the low-risk group. Confirmed by TCGA and ICGC cohorts, the risk signature possessed a relatively high accuracy. Additionally, the risk signature was demonstrated as an independent prognostic factor and closely related to the CD8+ T cell infiltration and PDL1 expression.Conclusion: A risk signature was constructed to predict the prognosis of HCC patients and detect patients who may have a higher positive response rate to immune checkpoint inhibitors.

show abstract

Genetic risk of extranodal natural killer T-cell lymphoma: a genome-wide association study in multiple populations

Cited by 51 publications

References 35 publications

Whole-genome sequencing identifies responders to Pembrolizumab in relapse/refractory natural-killer/T cell lymphoma

Whole-genome sequencing identifies responders to Pembrolizumab in relapse/refractory natural-killer/T cell lymphoma

Identification of Genes Related to Immune Infiltration in the Tumor Microenvironment of Cutaneous Melanoma

Risk Signature Related to Immunotherapy Reaction of Hepatocellular Carcinoma Based on the Immune-Related Genes Associated With CD8+ T Cell Infiltration

Contact Info

Product

Resources

About