scholarly journals Single nucleotide polymorphisms in the mitochondrial displacement loop and age at onset of non-Hodgkin lymphoma

2013 ◽  
pp. 1041
Author(s):  
Zhanjun Guo ◽  
Fan ◽  
Wang

Haematologica ◽  
2015 ◽  
Vol 100 (5) ◽  
pp. e204-e206 ◽  
Author(s):  
L. P. Jordheim ◽  
V. Ribrag ◽  
H. Ghesquieres ◽  
S. Pallardy ◽  
R. Delarue ◽  
...  


2014 ◽  
Vol 56 (1) ◽  
pp. 163-168 ◽  
Author(s):  
Yat-Yuen Lim ◽  
Yoon-Ming Chin ◽  
Mei-Chee Tai ◽  
Somayeh Fani ◽  
Kian-Meng Chang ◽  
...  




2010 ◽  
Vol 9 ◽  
pp. CIN.S6315 ◽  
Author(s):  
Xuesong Han ◽  
Yang Li ◽  
Jian Huang ◽  
Yawei Zhang ◽  
Theodore Holford ◽  
...  

Despite decades of intensive research, NHL (non-Hodgkin lymphoma) still remains poorly understood and is largely incurable. Recent molecular studies suggest that genomic variants measured with SNPs (single nucleotide polymorphisms) in genes may have additional predictive power for NHL prognosis beyond clinical risk factors. We analyzed a genetic association study. The prognostic cohort consisted of 346 patients, among whom 138 had DLBCL (diffuse large B-cell lymphoma) and 101 had FL (follicular lymphoma). For DLBCL, we analyzed 1229 SNPs which represented 122 KEGG pathways. For FL, we analyzed 1228 SNPs which represented 122 KEGG pathways. Unlike in existing studies, we targeted at identifying pathways with significant additional predictive power beyond clinical factors. In addition, we accounted for the joint effects of multiple SNPs within pathways, whereas some existing studies drew pathway-level conclusions based on separate analysis of individual SNPs. For DLBCL, we identified four pathways, which, combined with the clinical factors, had medians of the prediction logrank statistics as 2.535, 2.220, 2.094, 2.453, and 2.512, respectively. As a comparison, the clinical factors had a median of the prediction logrank statistics around 0.552. For FL, we identified two pathways, which, combined with the clinical factors, had medians of the prediction logrank statistics as 4.320 and 3.532, respectively. As a comparison, the clinical factors had a median of the prediction logrank statistics around 1.212. For NHL overall, we identified three pathways, which, combined with the clinical factors, had medians of the prediction logrank statistics as 5.722, 5.314, and 5.441, respective. As a comparison, the clinical factors had a median of the prediction logrank statistics around 4.411. The identified pathways have sound biological bases. In addition, they are different from those identified using existing approaches. They may provide further insights into the biological mechanisms underlying the prognosis of NHL.



2016 ◽  
Vol 27 (5) ◽  
pp. 3082-3085 ◽  
Author(s):  
Haiping Lee ◽  
Cuizhi Geng ◽  
Meng Cheng ◽  
Zheng Lee ◽  
Zhanjun Guo


2019 ◽  
Vol 34 (9) ◽  
pp. 1333-1344 ◽  
Author(s):  
Rubén Fernández‐Santiago ◽  
Núria Martín‐Flores ◽  
Francesca Antonelli ◽  
Catalina Cerquera ◽  
Verónica Moreno ◽  
...  




2014 ◽  
Vol 27 (2) ◽  
pp. 1141-1143 ◽  
Author(s):  
Desheng Kong ◽  
Shuhong Shi ◽  
Yanfang Li ◽  
Rongxia Li ◽  
Min Li


2020 ◽  
Vol 12 ◽  
Author(s):  
Anastazja M. Gorecki ◽  
Megan C. Bakeberg ◽  
Frances Theunissen ◽  
Jade E. Kenna ◽  
Madison E. Hoes ◽  
...  


2014 ◽  
Vol 90 (2) ◽  
Author(s):  
Avijit Haldar ◽  
Michelle C. French ◽  
Rudiger Brauning ◽  
Sara J. Edwards ◽  
Anne R. O'Connell ◽  
...  


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