scholarly journals Combined PD-1/PD-L1 and tumor-infiltrating immune cells redefined a unique molecular subtype of high-grade serous ovarian carcinoma

BMC Genomics ◽  
2022 ◽  
Vol 23 (1) ◽  
Author(s):  
Ping Liu ◽  
Ruoxu Chen ◽  
Xudong Zhang ◽  
Ruiting Fu ◽  
Lin Tao ◽  
...  

Abstract Background High-grade serous ovarian carcinoma is highly heterogeneous, and although many studies have been conducted to identify high-grade serous ovarian carcinoma molecular subtypes that are sensitive to immunotherapy, no precise molecular subtype has been proposed to date. Immune cell infiltration and immune checkpoints are highly correlated with immunotherapy. Here, we investigated immune cell infiltration and immune checkpoint values for prognosis and precise immunotherapy for high-grade serous ovarian carcinoma based on molecular subtype classification. Results “High antigen-presenting cells infiltration molecular subtype of high-grade serous ovarian carcinoma” was identified in immune cell infiltration profiles. Each of the three immune cell infiltration clusters (A, B, and C) demonstrated distinct immune cell characterization, with immune cell infiltration cluster C exhibiting high antigen-presenting cell infiltration, improved prognosis, and higher sensitivity to immunotherapy. Programmed death-1/programmed death ligand 1 has a prognostic and predictive role that can help classify molecular subtypes. Conclusions Our findings redefined a unique molecular subtype of high-grade serous ovarian carcinoma, suggesting that high-grade serous ovarian carcinoma patients with higher antigen-presenting cell infiltration and programmed death-1/programmed death ligand 1 expression can benefit from precise immunotherapy.

2019 ◽  
Vol 14 (4) ◽  
pp. 628-640 ◽  
Author(s):  
Karolina Edlund ◽  
Katrin Madjar ◽  
Johanna S.M. Mattsson ◽  
Dijana Djureinovic ◽  
Cecilia Lindskog ◽  
...  

2016 ◽  
Vol 22 (18) ◽  
pp. 4746-4755 ◽  
Author(s):  
Brandon Leonard ◽  
Gabriel J. Starrett ◽  
Matthew J. Maurer ◽  
Ann L. Oberg ◽  
Mieke Van Bockstal ◽  
...  

2012 ◽  
Vol 189 (4) ◽  
pp. 1920-1927 ◽  
Author(s):  
Andrew M. Donson ◽  
Diane K. Birks ◽  
Stephanie A. Schittone ◽  
Bette K. Kleinschmidt-DeMasters ◽  
Derrick Y. Sun ◽  
...  

Thyroid ◽  
2014 ◽  
Vol 24 (9) ◽  
pp. 1385-1393 ◽  
Author(s):  
Trevor E. Angell ◽  
Melissa G. Lechner ◽  
Julie K. Jang ◽  
Adrian J. Correa ◽  
Jonathan S. LoPresti ◽  
...  

PLoS ONE ◽  
2018 ◽  
Vol 13 (10) ◽  
pp. e0204513 ◽  
Author(s):  
Kenichi Harano ◽  
Ying Wang ◽  
Bora Lim ◽  
Robert S. Seitz ◽  
Stephan W. Morris ◽  
...  

PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e82406 ◽  
Author(s):  
Katelin N. Townsend ◽  
Jaeline E. Spowart ◽  
Hassan Huwait ◽  
Sima Eshragh ◽  
Nathan R. West ◽  
...  

2020 ◽  
Vol 26 (20) ◽  
pp. 5411-5423 ◽  
Author(s):  
Aline Talhouk ◽  
Joshy George ◽  
Chen Wang ◽  
Timothy Budden ◽  
Tuan Zea Tan ◽  
...  

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi155-vi155
Author(s):  
Michael Bockmary ◽  
Frederick Klauschen ◽  
Cecile Maire ◽  
Stefan Rutkowski ◽  
Manfred Westphal ◽  
...  

Abstract Immunological treatment strategies, including checkpoint inhibition, are currently under investigation for high-grade gliomas, but their success is limited. Hence, it is crucial to determine immunological pathways that can be targeted and to identify subgroups of patients likely to benefit from immunotherapies. Previous studies are still limited by comparably small sample sizes and there is only few data about specific immunological mechanisms in pediatric high-grade glioma. We gathered published gene expression data from 1135 adult and pediatric high-grade gliomas and applied a machine learning technique to determine their mutational (K27, G34, IDHmut, IDHwt) and transcriptional subtype. Subsequently, immune cell infiltration and functional immune pathway signatures were evaluated in correlation to histological diagnosis, age, transcriptional and mutational subtype. T-SNE analysis and unsupervised hierarchical clustering was applied to detect subgroup-specific immune microenvironments across all high-grade glioma subtypes. Four distinct microenvironmental phenotypes of immune cell infiltration were identified, which can be stratified into vascular, monocytic/stromal, monocytic/T-cell and APC/NK/T-cell dominant immune clusters. Immune cell infiltration correlated strongly with transcriptional and mutational subtypes but was independent of age and histological diagnosis (p< 0.01). H3F3A mutated tumors had significantly fewer tumor infiltrating lymphocytes and macrophages. By including functional pathways and correlating the expression of immunostimulatory and inhibitory receptor/ligand interactions, we were able to define the immunological microenvironment and to identify possible immunological subtypes associated with poor prognosis as well as subtypes that might be especially amenable to checkpoint inhibition. In addition, comparisons of overall survival with the immunological microenvironment and specifically with immune checkpoint molecules revealed diverse correlations within the transcriptional and mutational subgroups. In conclusion, we shat that mutational and transcriptional subgroups of pediatric and adult high-grade gliomas are characterized by distinct immunological tumor microenvironments. Our analysis demonstrates the immunological heterogeneity within this entity and emphasizes an immune specific stratification of subgroups for upcoming immunotherapy trials.


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