Epigenomic Studies of Gynecological Cancer
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Informatics and Big Data".
Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 16238
Special Issue Editors
2. Honorary Associate Professor, School of Biomedical Sciences, University of Queensland, Brisbane, Australia
3. Adjunct Associate Professor, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
Interests: endometrial cancer; hormone-related cancers; post-GWAS functional analysis; epigenomics; chromatin looping; transcriptional regulation
2. Honorary Associate Professor, School of Biomedical Sciences, University of Queensland, Brisbane, Australia
3. Adjunct Associate Professor, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
Interests: endometrial cancer; hormone-related cancers; genome-wide association studies; integrative molecular genomics; cross-cancer genetic analysis; epigenomics; chromatin looping
Special Issue Information
Dear Colleagues,
The last decade has seen major developments in high-throughput sequencing, spurring many new applications. In particular, the development of new epigenomic analyses (e.g., bisulfite sequencing, chromosome conformation capture sequencing, and ChIP-seq) has led to a remarkable growth in whole genome studies of methylation, chromatin looping, transcription factor binding, and histone modifications. Through epigenomic studies, it has become apparent that epigenetic features play important roles in cancer etiology, development, and progression. Recently, epigenomics has also helped to provide insights into findings from genome-wide association studies of cancer risk and whole genome sequencing of tumors.
Compared with the epigenomics of some other common cancer types, gynecological cancer has been much less well studied. Therefore, we welcome articles that generate novel epigenomic datasets using gynecological cancer cell lines, organoids or tissue, in particular those that integrate these data with large-scale genetic or “omic” datasets to further our understanding of gynecological cancer.
Assoc. Prof. Dylan Glubb
Assoc. Prof. Tracy O’Mara
Guest Editors
Manuscript Submission Information
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Keywords
- epigenomics
- gynecological cancer
- endometrial cancer
- ovarian cancer
- chromatin looping
- histone modifications
- transcription factor binding
- genome-wide association studies
- whole genome sequencing