Understanding the Genomic Mechanisms of Oncology

Dear Colleagues,

Coping with cancer requires an understanding of the cellular and molecular processes that enable tumor cells to survive, proliferate, invade and generate metastases. Over the past decade, there have been groundbreaking advancements in DNA sequencing technologies and other high-throughput platforms, leading to a new era in biology and medical sciences known as "omics". These technologies offer a wide range of applications that significantly enhance the diagnosis, prognosis and treatment of cancer. Moreover, they present new opportunities for drug development, facilitating precise and personalized medical treatments tailored to the unique molecular functions and pathways of each patient.

These innovative technologies generate an enormous amount of molecular data, allowing for the exploration of the cellular and tissue landscape of transcripts, proteins, metabolites, genomic functional regions, genome-wide mutation profiling, epigenetic modifications, as well as gene structure and activity within various types of cancers. Nevertheless, to comprehend this vast amount of information, the development of advanced computational algorithms, AI-powered tools and machine learning techniques is essential. Their vital role lies in transforming copious raw data into interpretable and actionable biological and medical knowledge.

This Special Issue in Biology on "Understanding the Genomic Mechanisms of Oncology” will focus on omics and integrated multi-omics studies. It will include both pool-level and single-cell analyses, to elucidate the mechanisms of tumor formation, tumor evasion and to understand the significant role played by the tumor microenvironment in the process of tumorigenesis. It will also highlight advanced computational methods or algorithms aimed at enhancing diagnosis, prognosis and treatment response in the field of oncology. We invite researchers to submit their experimental and/or computational research papers, review articles and short communications relevant to these fields in basic science and clinical studies. We encourage researchers to contribute their valuable work to this issue and become a part of the collective effort to advance the field of oncology genomics.

Dr. Sharona Elgavish
Dr. Mali Salmon-Divon
Guest Editors

Manuscript Submission Information

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• omics
• genomics
• proteomics
• metabolomics
• genome-wide mutation profiling
• epigenetics
• medical imaging
• tumor microenvironment
• machine-learning