Cited by 66Ovarian cancer diagnosis and treatmentBRCA gene mutations in cancerOvarian function and disorders

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Harnessing Pandemonium: The Clinical Implications of Tumor Heterogeneity in Ovarian Cancer

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Blagden, Sarah P.·2015·Frontiers in Oncology

Abstract

Heterogeneity has emerged as a key feature of ovarian cancer between different ovarian cancer subtypes; within single ovarian cancer subtypes; and within individual patient tumors. At the genomic level, with the advent of ultra-deep sequencing technologies alongside RNA-Seq, epigenomics, and proteomics, the complexity surrounding heterogeneity has deepened. Here, we summarize the emerging understanding of heterogeneity in cancer as a whole and the key discoveries in this area relating to ovarian cancer. We explore the therapeutic limitations and possibilities posed by heterogeneity and how these will influence the future of ovarian cancer treatment and research.

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Metadata

Authors
Blagden, S. P.
Affiliations
Churchill Hospital (GB)
Corresponding author
Blagden, Sarah P.
Venue
Frontiers in Oncology
Published
2015-06-30
Volume
5
Pages
149-149
ISSN
2234-943X (ISSN-L)
OpenAlex
W1486589243
Cited by
66
References
5
Citations by year
2026: 5 · 2025: 3 · 2024: 2 · 2023: 6 · 2022: 4 · 2021: 5 · 2020: 8 · 2019: 5 · 2018: 8 · 2017: 8 · 2016: 10 · 2015: 2
FWCI
1.42
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Frontiers in Oncology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Oncology › Ovarian cancer diagnosis and treatment
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
  • Health Sciences › Medicine › Reproductive Medicine › Ovarian function and disorders
Keywords
ovarian cancer, tumor heterogeneity, intratumoral heterogeneity, subtypes, genomic heterogeneity, epigenomics, proteomics, RNA-seq, treatment resistance, precision oncology

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