• Title/Summary/Keyword: neoantigen

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Identification of neoantigens derived from alternative splicing and RNA modification

  • Park, Jiyeon;Chung, Yeun-Jun
    • Genomics & Informatics
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    • v.17 no.3
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    • pp.23.1-23.6
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    • 2019
  • The acquisition of somatic mutations is the most common event in cancer. Neoantigens expressed from genes with mutations acquired during carcinogenesis can be tumor-specific. Since the immune system recognizes tumor-specific peptides, they are potential targets for personalized neoantigen-based immunotherapy. However, the discovery of druggable neoantigens remains challenging, suggesting that a deeper understanding of the mechanism of neoantigen generation and better strategies to identify them will be required to realize the promise of neoantigen-based immunotherapy. Alternative splicing and RNA editing events are emerging mechanisms leading to neoantigen production. In this review, we outline recent work involving the large-scale screening of neoantigens produced by alternative splicing and RNA editing. We also describe strategies to predict and validate neoantigens from RNA sequencing data.

Checkpoint-inhibition in ovarian cancer: rising star or just a dream?

  • Pietzner, Klaus;Nasser, Sara;Alavi, Sara;Darb-Esfahani, Silvia;Passler, Mona;Muallem, Mustafa Zelal;Sehouli, Jalid
    • Journal of Gynecologic Oncology
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    • v.29 no.6
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    • pp.93.1-93.11
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    • 2018
  • The introduction of checkpoint inhibitors revolutionized immuno-oncology. The efficacy of traditional immunotherapeutics, like vaccines and immunostimulants was very limited due to persistent immune-escape strategies of cancer cells. Checkpoint inhibitors target these escape mechanisms and re-direct the immune system to anti-tumor toxicity. Phenomenal results have been reported in entities like melanoma, where no other therapy was able to demonstrate survival benefit, before the introduction of immunotherapeutics. The first experience in ovarian cancer (OC) was reported for nivolumab, a fully human anti-programmed cell death protein 1 (PD1) antibody, in 2015. While the data are extraordinary for a mono-immunotherapeutic agent and very promising, they do not match up to the revolutionary results in entities like melanoma. The key to exceptional treatment response in OC, could be the identification of the most immunogenic patients. We hypothyse that BRCA mutation could be a predictor of improved response in OC. The underlying DNA-repair-deficiancy should result in increased immunogenicity because of higher mutational load and more neoantigen presentation. This hypothesis was not tested to date and should be subject to future trials. The present article gives an overview of the immunologic background of checkpoint inhibition (CI). It presents current data on nivolumab and other checkpoint-inhibitors in solid tumors and OC specifically and depicts important topics in the management of this novel substance group, such as side effect control, diagnostic PD-1/programmed cell death-ligand 1 (PD-L1) expression assessment and management of pseudoprogression.

Correlation of Protumor Effects of Leucine-Rich Repeat Kinase 2 with Interleukin-10 Expression in Lung Squamous Cell Carcinoma (폐 편평세포암종 내 Leucine-Rich Repeat Kinase 2 암촉진 효과와 Interleukin-10 발현과의 연관성)

  • Sung Won LEE;Sangwook PARK
    • Korean Journal of Clinical Laboratory Science
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    • v.55 no.2
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    • pp.105-112
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    • 2023
  • Leucine-rich repeat kinase 2 (LRRK2) is known to play a crucial role in the pathophysiology of neurodegenerative disorders such as Parkinson's disease. LRRK2 is predominantly expressed in the lung as well as the brain. However, it is unclear whether LRRK2 expression correlates with the pathogenesis of lung squamous cell carcinoma (LUSC). This study analyzes the prognostic significance of LRRK2 in LUSC using the Kaplan-Meier plotter tool. High expression of LRRK2 is known to be associated with a bad prognosis in patients with LUSC. Patients with high LRRK2 expression, tumor mutational burden, high neoantigen load, and even gender correlation reportedly have the worse survival rates. In the gene expression profiling interactive analysis (GEPIA) database, the severity of pathogenesis in LUSC with high LRRK2 expression positively corresponds to a high expression of anti-inflammatory cytokines but not inflammatory cytokines. Similarly, the increased expression of interleukin (IL)10-related genes was shown to be significantly linked in LRRK2-high LUSC patients having a poor prognosis. Moreover, the tumor immune estimation resource (TIMER) database suggests that macrophages are one of the cellular sources of IL10 in LRRK2-high LUSC patients. Collectively, our results demonstrate that the postulated LRRK2-IL10 axis is a potential therapeutic target and prognostic biomarker for LUSC.