This research topic aims to gather a compendium of high-quality articles focused on the transformative role of long-read sequencing technologies in cancer biology. The aim is to explore how these cutting-edge sequencing methods deepen our understanding of cancer genetics, from uncovering novel mutations to unravelling the intricate landscape of structural variations.

Areas of interest include, but are not limited to:

- Innovations in Long-Read Sequencing: Progress in algorithms and bioinformatics tools, highlighting their utility in understanding cancer biology.
- Structural Variations and Cancer Genomics: In-depth exploration of structural variations in cancer genomes, and their implications for tumorigenesis and resistance to therapy.
- Complex Genomic Rearrangements: Analysis of complex genomic rearrangements driving cancer initiation and progression.
- Tumor Heterogeneity and Evolution: Insights into the diversity and evolution of tumors, as revealed by long-read sequencing technologies, illustrating the dynamics of cancer progression.
- Long-Read Transcriptomics in Cancer: Study of transcriptome diversity and complex transcriptional events in cancer using long-read RNA sequencing.
- Epigenetic Modifications and Cancer: Investigation of the epigenomic landscape and RNA modifications in cancer revealed by long-read sequencing.
- Integration with Multi-Omics: Integrating long-read sequencing data with other omics technologies to create a holistic view of cancer genomics.
- Clinical Implications and Personalized Medicine: Translational research focusing on how long-read sequencing findings can be applied in clinical settings for diagnosis, prognosis, and personalization of cancer treatment strategies.

This Research Topic serves as a comprehensive platform for researchers, clinicians, and computational biologists to share their discoveries. Our goal is to foster a collaborative effort to advance cancer research through the innovative application of long-read sequencing.

We welcome a diverse array of manuscript submissions, including:

- Original Research Articles: Empirical studies leveraging long-read sequencing to advance cancer genomics.
- Reviews and Mini-Reviews Articles: Comprehensive overviews of current applications and challenges in employing long-read sequencing for cancer research.
- Methodology Papers: Innovations in sequencing techniques and data analysis tailored for cancer studies.
- Case Reports: Illustrative applications of long-read sequencing in specific cancer cases, with a focus on personalized medicine.

Please note: Manuscripts that rely solely on bioinformatics or computational analyses of public databases without independent clinical or biological validation (such as validation using independent clinical or patient cohorts, or in vitro or in vivo biological validation) are not suitable for publication in this journal.

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Advancing Cancer Biology: The Impact and Applications of Long-Read Sequencing Technologies

Topic Coordinator