Cancer has replaced cardiovascular disease as the leading cause of death in developed countries, according to two large-scale studies published in the ‘lancet’. There is still a lack of knowledge about the pathogenesis, diagnosis, and treatment of various types of cancer. Several novel technologies, such as third-generation sequencing technology, single-cell sequencing technology, spatial single-cell sequencing technology, etc. have been applied in the basic research of cancer. These technologies provide a lot of opportunities for researchers to explore cancer susceptibility, metastasis, microenvironment, stem cells, immune mechanism, cell function identification, and subtype classification. However, there are two major challenges in applying these technologies to explore cancer. One is to more effectively and comprehensively apply these biotechnologies to explore key cancer mechanisms. The other is to propose effective data analysis, processing, and mining methods to make full use of biological big data resources.
Therefore, we propose to conduct a Research Topic on Frontiers in Genetics with the topic ‘Research on tumor mechanism based on cutting-edge biotechnology’. The subtopics include, but are not limited to:
• Identifying Cancer somatic/ germline Mutations Using Third-Generation Sequencing or large-scale Next-Generation Sequencing.
• Application of single-cell technology in the tumor microenvironment and immune microenvironment.
• Novel methods, tools, and resources to identify tumor cell function.
• Investigating cancer metastasis and prognosis methods and mechanisms.
• Research on early tumor screening and key molecule recognition methods.
• Studying cancer mechanisms and methods using space transcriptome technology
• Research on the integration of various cutting-edge biotechnologies to analyze cancer susceptibility, metastasis, microenvironment, stem cells, immune mechanisms, cell function identification, and subtype classification.
Please note: Manuscripts limited to bioinformatic re-analysis of existing datasets without substantial experimental contribution or detailed representation of novel methodologies will not be considered for publication in this section
Keywords:
Cancer, Next-Generation Sequencing, Third-Generation Sequencing, Single-cell technology, Biological big data
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Cancer has replaced cardiovascular disease as the leading cause of death in developed countries, according to two large-scale studies published in the ‘lancet’. There is still a lack of knowledge about the pathogenesis, diagnosis, and treatment of various types of cancer. Several novel technologies, such as third-generation sequencing technology, single-cell sequencing technology, spatial single-cell sequencing technology, etc. have been applied in the basic research of cancer. These technologies provide a lot of opportunities for researchers to explore cancer susceptibility, metastasis, microenvironment, stem cells, immune mechanism, cell function identification, and subtype classification. However, there are two major challenges in applying these technologies to explore cancer. One is to more effectively and comprehensively apply these biotechnologies to explore key cancer mechanisms. The other is to propose effective data analysis, processing, and mining methods to make full use of biological big data resources.
Therefore, we propose to conduct a Research Topic on Frontiers in Genetics with the topic ‘Research on tumor mechanism based on cutting-edge biotechnology’. The subtopics include, but are not limited to:
• Identifying Cancer somatic/ germline Mutations Using Third-Generation Sequencing or large-scale Next-Generation Sequencing.
• Application of single-cell technology in the tumor microenvironment and immune microenvironment.
• Novel methods, tools, and resources to identify tumor cell function.
• Investigating cancer metastasis and prognosis methods and mechanisms.
• Research on early tumor screening and key molecule recognition methods.
• Studying cancer mechanisms and methods using space transcriptome technology
• Research on the integration of various cutting-edge biotechnologies to analyze cancer susceptibility, metastasis, microenvironment, stem cells, immune mechanisms, cell function identification, and subtype classification.
Please note: Manuscripts limited to bioinformatic re-analysis of existing datasets without substantial experimental contribution or detailed representation of novel methodologies will not be considered for publication in this section
Keywords:
Cancer, Next-Generation Sequencing, Third-Generation Sequencing, Single-cell technology, Biological big data
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.