Tumor poses severe threats to human health. Despite great efforts by scientists for tumor treatment, the mortality of tumor remains high. With the increasing resistance to existing drugs, finding new therapeutic targets is urgently needed. Non-coding RNAs (ncRNAs) have intrigued numerous researchers. ncRNAs may be potential therapeutic targets. As emerging regulatory molecules, ncRNAs are instrumental in tumorigenesis, invasion, metastasis, and drug resistance to cancer. Immunotherapy has become a promising tumor treatment strategy. However, immunotherapy has some deficiencies such as the high cost and severe toxicity. Therefore, new biomarkers for predicting immunotherapy efficacy are necessary. Metabolic reprogramming is one of the representative features of tumor and targeting tumor metabolism has emerged as a hot topic. The aberrant expression of ncRNAs may contribute to the dysregulation of tumor metabolism. Interestingly, the metabolic reprogramming has a great impact on immunotherapy.
The aim of this research topic is to highlight the importance of ncRNAs including miRNA, lncRNA and circRNA, in tumor immunity and metabolism, providing novel orientations and tactics for the diagnosis and treatment of cancers. High priority will be given to research on the anticancer potentials of ncRNAs. Due to the development of sequencing technology, a huge amount of data related to tumor has been generated. Bioinformatics play a key role in correctly generating first hand data. Bioinformatics is helpful for bridging the gap between initial discovery phases such as bioanalytics, and the validation of identified candidates. Therefore, this research topic also welcomes all kinds of bioinformatic analysis by using experimentally generated and/or published datasets.
The topic will accept a wide range of manuscripts (but are not limited to) under the following themes:
• New ncRNAs as biomarkers for predicting the immunotherapy efficacy and the mechanism of their action.
• Single-cell analysis for identification of new ncRNAs for both checkpoints targeting and as biomarkers for diagnosis or immune monitoring in cancer.
• Improvement of immunotherapeutic strategies by combination with other drugs.
• ncRNAs as modulators of metabolic pathways in cancer.
• Identification of metabolic immune ncRNAs associated with cancer outcomes including occurrence and progression.
• Targeting metabolic signaling pathway for the development of potential new drugs.
Please note: The manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
Tumor poses severe threats to human health. Despite great efforts by scientists for tumor treatment, the mortality of tumor remains high. With the increasing resistance to existing drugs, finding new therapeutic targets is urgently needed. Non-coding RNAs (ncRNAs) have intrigued numerous researchers. ncRNAs may be potential therapeutic targets. As emerging regulatory molecules, ncRNAs are instrumental in tumorigenesis, invasion, metastasis, and drug resistance to cancer. Immunotherapy has become a promising tumor treatment strategy. However, immunotherapy has some deficiencies such as the high cost and severe toxicity. Therefore, new biomarkers for predicting immunotherapy efficacy are necessary. Metabolic reprogramming is one of the representative features of tumor and targeting tumor metabolism has emerged as a hot topic. The aberrant expression of ncRNAs may contribute to the dysregulation of tumor metabolism. Interestingly, the metabolic reprogramming has a great impact on immunotherapy.
The aim of this research topic is to highlight the importance of ncRNAs including miRNA, lncRNA and circRNA, in tumor immunity and metabolism, providing novel orientations and tactics for the diagnosis and treatment of cancers. High priority will be given to research on the anticancer potentials of ncRNAs. Due to the development of sequencing technology, a huge amount of data related to tumor has been generated. Bioinformatics play a key role in correctly generating first hand data. Bioinformatics is helpful for bridging the gap between initial discovery phases such as bioanalytics, and the validation of identified candidates. Therefore, this research topic also welcomes all kinds of bioinformatic analysis by using experimentally generated and/or published datasets.
The topic will accept a wide range of manuscripts (but are not limited to) under the following themes:
• New ncRNAs as biomarkers for predicting the immunotherapy efficacy and the mechanism of their action.
• Single-cell analysis for identification of new ncRNAs for both checkpoints targeting and as biomarkers for diagnosis or immune monitoring in cancer.
• Improvement of immunotherapeutic strategies by combination with other drugs.
• ncRNAs as modulators of metabolic pathways in cancer.
• Identification of metabolic immune ncRNAs associated with cancer outcomes including occurrence and progression.
• Targeting metabolic signaling pathway for the development of potential new drugs.
Please note: The manuscripts consisting solely of bioinformatics or computational analysis of public genomic or transcriptomic databases which are not accompanied by validation (independent cohort or biological validation in vitro or in vivo) are out of scope for this section and will not be accepted as part of this Research Topic.
