scholarly journals Genetic pleiotropy between multiple sclerosis and schizophrenia but not bipolar disorder: differential involvement of immune-related gene loci

2014 ◽  
Vol 20 (2) ◽  
pp. 207-214 ◽  
Author(s):  
O A Andreassen ◽  
◽  
H F Harbo ◽  
Y Wang ◽  
W K Thompson ◽  
...  
2020 ◽  
Vol 59 (4) ◽  
pp. 669-676 ◽  
Author(s):  
Pedro Negri ◽  
Leonor Ramirez ◽  
Silvina Quintana ◽  
Nicolas Szawarski ◽  
Matías D. Maggi ◽  
...  

2021 ◽  
Vol 25 (6) ◽  
pp. 2918-2930
Author(s):  
Bao Zhang ◽  
Xiaocui Nie ◽  
Xinxin Miao ◽  
Shuo Wang ◽  
Jing Li ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rong-zhi Huang ◽  
Min Mao ◽  
Jie Zheng ◽  
Hai-qi Liang ◽  
Feng-ling Liu ◽  
...  

AbstractMelanoma is a skin cancer with great metastatic potential, which is responsible for the major deaths in skin cancer. Although the prognosis of melanoma patients has been improved with the comprehensive treatment, for patients with metastasis, the complexity and heterogeneity of diffuse diseases make prognosis prediction and systematic treatment difficult and ineffective. Therefore, we established a novel personalized immune-related gene pairs index (IRGPI) to predict the prognosis of patients with metastatic melanoma, which was conducive to provide new insights into clinical decision-making and prognostic monitoring for metastatic melanoma. Through complex analysis and filtering, we identified 24 immune-related gene pairs to build the model and obtained the optimal cut-off value from receiver operating characteristic curves, which divided the patients into high and low immune-risk groups. Meantime, the Kaplan–Meier analysis, Cox regression analysis and subgroup analysis showed that IRGPI had excellent prognostic value. Furthermore, IRGPI was shown that was closely associated with immune system in the subsequent tumor microenvironment analysis and gene set enrichment analysis. In addition, we broken through the data processing limitations of traditional researches in different platforms through the application of gene pairs, which would provide great credibility for our model. We believe that our research would provide a new perspective for clinical decision-making and prognostic monitoring in metastatic melanoma.


Author(s):  
Constantinos Roufas ◽  
Ilias Georgakopoulos-Soares ◽  
Apostolos Zaravinos

Abstract Background Skin melanoma is a highly immunogenic cancer. The intratumoral immune cytolytic activity (CYT) reflects the ability of cytotoxic T and NK cells to eliminate cancer cells, and is associated with improved patient survival. Despite the enthusiastic clinical results seen in advanced-stage metastatic melanoma patients treated with immune checkpoint inhibitors, a subgroup of them will later relapse and develop acquired resistance. We questioned whether CYT associates with different genomic profiles and thus, patient outcome, in skin melanoma. Methods We explored the TCGA-SKCM dataset and stratified patients to distinct subgroups of cytolytic activity. The tumor immune contexture, somatic mutations and recurrent copy number aberrations were calculated using quanTIseq, MutSigCV and GISTIC2. Chromothriptic events were explored using CTLPScanner and cancer neoepitopes were predicted with antigen garnish. Each tumor's immunophenoscore was calculated using Immunophenogram. Mutational signatures and kataegis were explored using SigProfiler and compared to the known single or doublet base substitution signatures from COSMIC. Results Metastatic skin melanomas had significantly higher CYT levels compared to primary tumors. We assessed enrichment for immune-related gene sets within CYT-high tumors, whereas, CYT-low tumors were enriched for non-immune related gene sets. In addition, distinct mutational and neoantigen loads, primarily composed of C > T transitions, along with specific types of copy number aberrations, characterized each cytolytic subgroup. We found a broader pattern of chromothripsis across CYT-low tumors, where chromosomal regions harboring chromothriptic events, contained a higher number of cancer genes. SBS7a/b, SBS5 and SBS1 were the most prevalent mutational signatures across both cytolytic subgroups, but SBS1 differed significantly between them. SBS7a/b was mutually exclusive with SBS5 and SBS1 in both CYT subgroups. CYT-high patients had markedly higher immunophenoscore, suggesting that they should display a clinical benefit upon treatment with immune checkpoint inhibition therapy, compared to CYT-low patients. Conclusions Overall, our data highlight the existence of distinct genomic features across cytolytic subgroups in skin melanoma, which might affect the patients' relapse rate or their acquisition of resistance to immune checkpoint inhibition therapies.


2014 ◽  
Vol 3 (3) ◽  
pp. e27884 ◽  
Author(s):  
Gautier Stoll ◽  
David Enot ◽  
Bernhard Mlecnik ◽  
Jérôme Galon ◽  
Laurence Zitvogel ◽  
...  

2009 ◽  
Vol 285 ◽  
pp. S213
Author(s):  
A. Dzagnidze ◽  
M. Kukava ◽  
N. Lobjanidze ◽  
M. Janelidze ◽  
M. Shalikashvili

Sign in / Sign up

Export Citation Format

Share Document