Cited by 221Ovarian cancer diagnosis and treatmentBRCA gene mutations in cancerPARP inhibition in cancer therapy

Acquired chemotherapy resistance in ovarian cancer

Open access
Christie, E.L., Bowtell, D.D.L.·2017·Annals of Oncology

Abstract

Most women diagnosed with high-grade serous ovarian cancer (HGSC) develop recurrent disease and chemotherapy resistance, despite initially responding to treatment. The genomic characteristics of HGSC samples collected at initial surgery have been extensively studied. However, due to challenges of sample collection following treatment, much less is known about the molecular features of recurrent disease. Our recent studies have identified mechanisms of acquired resistance and biomarkers in recurrent HGSCs that could lead to improved treatment approaches.

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Crossref · 10.1093/annonc/mdx446

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  • The majority of OvCa patients that initially respond to chemotherapy treatment develop recurrent disease due to acquired resistance to platinum-based chemotherapy after undergoing multiple cycles of chemotherapy.

    “the majority of OvCa patients that initially respond to chemotherapy treatment develop the recurrent disease due to acquired resistance to platinum-based chemotherapy after undergoing multiple cycles of chemotherapy36.”

    From Large-scale integrated analysis of ovarian cancer tumors and cell lines identifies an individualized gene expression signature for predicting response to platinum-based chemotherapy (2019) · cites this paper as [36]

    The Introduction says chemotherapy resistance emerges in a majority of women with high-grade serous ovarian cancer who are not primarily resistant, and the Acquired chemotherapy resistance section discusses resistance to platinum-based chemotherapy. The claim extends this to ovarian cancer patients generally and specifies that resistance develops after multiple chemotherapy cycles; our copy does not establish that timing. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • High-grade serous ovarian cancers (HGSOC) are the most prevalent type of epithelial ovarian tumors (about 75%) and characterized by TP53 driver mutations and extensive genome rearrangement.

    “High-grade serous ovarian cancers (HGSOC) are the most prevalent type of epithelial ovarian tumors (about 75%) and characterized by TP53 driver mutations and extensive genome rearrangement (Christie and Bowtell, 2017).”

    From Microphysiological systems as models for immunologically ‘cold’ tumors (2024) · cites this paper as Christie and Bowtell, 2017

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Research works printed but not linked: 1

  1. Norquist B, Wurz KA, Pennil CC et al. Secondary somatic mutations restoring BRCA1/2 predict chemotherapy resistance in hereditary ovar- ian carcinomas. J Clin Oncol 2011; 29: 3008-3015.

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Authors
Christie, E. L., & Bowtell, D. D. L.
Affiliations
The University of Melbourne (AU)
Corresponding author
Christie, E.L.
Venue
Annals of Oncology
Publisher
Elsevier BV
Published
2017-11
Volume
28
Issue
suppl_8
Pages
viii13-viii15
ISSN
0923-7534 (ISSN-L)
OpenAlex
W2772038399
Cited by
220
References
14
Citations by year
2026: 13 · 2025: 13 · 2024: 31 · 2023: 35 · 2022: 38 · 2021: 47 · 2020: 26 · 2019: 15 · 2018: 2
FWCI
13.66
Type
journal article
Language
en
Open access
Locations
  • Annals of Oncology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Health and Medical Research Council (APP1092856)
  • NHMRC (GNT1124309)
  • Victorian Cancer Agency (ECSG15012)
  • U.S. Army Medical Research and Materiel Command (DAMD17-01-1-0729)
Topics
  • Health Sciences › Medicine › Reproductive Medicine › Ovarian cancer diagnosis and treatment
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
  • Health Sciences › Medicine › Oncology › PARP inhibition in cancer therapy
Keywords
high-grade serous ovarian cancer, recurrent ovarian cancer, biomarkers, drug resistance mechanisms
MeSH terms
Antineoplastic Agents, Female, Humans, Neoplasm Recurrence, Local, Ovarian Neoplasms, Cystadenocarcinoma, Serous, Drug Resistance, Neoplasm

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