Can integrative biomarker approaches improve prediction of platinum and PARP inhibitor response in ovarian cancer?
Abstract
Epithelial ovarian carcinoma (EOC) encompasses distinct histological, molecular and genomic entities that determine intrinsic sensitivity to platinum-based chemotherapy. Current management of each subtype is determined by factors including tumour grade and stage, but only a small number of biomarkers can predict treatment response. The recent incorporation of PARP inhibitors into routine clinical practice has underscored the need to personalise ovarian cancer treatment based on tumour biology. In this article, we review the strengths and limitations of predictive biomarkers in current clinical practice and highlight integrative strategies that may inform the development of future personalised medicine programs and composite biomarkers.
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Predicting platinum sensitivity in women with BRCAwt ovarian cancers remains a challenge.
“predicting platinum sensitivity remains a challenge [8].”
From Identification of a novel gene signature predicting response to first-line chemotherapy in BRCA wild-type high-grade serous ovarian cancer patients (2022) · cites this paper as [8]
Validated predictive biomarkers do not exist for platinum sensitivity in women with BRCAwt ovarian cancers.
“validated predictive biomarkers do not exist for platinum sensitivity in women with BRCAwt ovarian cancers”
From Identification of a novel gene signature predicting response to first-line chemotherapy in BRCA wild-type high-grade serous ovarian cancer patients (2022) · cites this paper as [8]
HGSOC has elevated intra- and inter-tumor and inter-patient heterogeneity that is present even prior to exposure to selective pressures of therapy.
“Actually, the elevated level of intra- and inter-tumor and inter-patient heterogeneity that characterized HGSOC has been shown to be present even prior to exposure to selective pressures of therapy”
From Identification of a novel gene signature predicting response to first-line chemotherapy in BRCA wild-type high-grade serous ovarian cancer patients (2022) · cites this paper as [8]
This heterogeneity has significantly hampered biomarker discovery into actionable clinical parameters.
“this having significantly hampered biomarker discovery into actionable clinical parameters [8].”
From Identification of a novel gene signature predicting response to first-line chemotherapy in BRCA wild-type high-grade serous ovarian cancer patients (2022) · cites this paper as [8]
Despite various approaches, no definitive results have been reached yet to guide precision treatment for women with BRCAwt ovarian cancers.
“Despite various approaches have been developed, including mutational signature, transcriptomic signatures, tumor mutational burden, and functional biomarkers, no definitive results have been reached yet to guide precision treatment for women with BRCAwt ovarian cancers [8, 9].”
From Identification of a novel gene signature predicting response to first-line chemotherapy in BRCA wild-type high-grade serous ovarian cancer patients (2022) · cites this paper as [8]
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Copy neutral loss of heterozygosity is more frequent in older ovarian cancer patients
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Flagged first, then by citations
11 of the 217 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Chemotherapy resistance in epithelial ovarian cancer: Mechanisms and emerging treatments
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The Evolution of Ovarian Carcinoma Subclassification
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“In the era of personalized cancer therapy, validated predictive biomarkers do not exist for platinum sensitivity in women with BRCAwt ovarian cancers and predicting platinum sensitivity remains a challenge [8].”
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Self-citationPatient-derived organoids as a model to study tubo-ovarian carcinoma: a pathologist’s perspective
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Self-citationMachine-learning survival models for predicting time to recurrence in epithelial ovarian cancer
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Self-citationThe Role of PARP Inhibitors in the Treatment of Advanced Epithelial Ovarian Carcinoma
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Role of AI in molecular cancer pharmacology
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- Authors
- Funingana, I.-G., Reinius, M. A. V., Petrillo, A., Ang, J. E., & Brenton, J. D.
- Affiliations
- University of Cambridge (GB)
- University of Campania "Luigi Vanvitelli" (IT)
- Corresponding author
- Petrillo, Angelica
- Venue
- Seminars in Cancer Biology
- Publisher
- Elsevier BV
- Published
- 2021-12
- Volume
- 77
- Pages
- 67-82
- ISSN
- 1044-579X (ISSN-L)
- OpenAlex
- W3132039413
- Cited by
- 23
- References
- 217
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 3 · 2023: 4 · 2022: 4 · 2021: 3
- FWCI
- 3.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Seminars in Cancer Biology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- GlaxoSmithKline
- Topics
- Health Sciences › Medicine › Reproductive Medicine › Ovarian cancer diagnosis and treatment
- Health Sciences › Medicine › Oncology › PARP inhibition in cancer therapy
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
- Keywords
- epithelial ovarian cancer, predictive biomarkers, platinum chemotherapy response, PARP inhibitors, treatment response prediction, composite biomarker, personalized medicine, tumor subtypes
- MeSH terms
- Poly(ADP-ribose) Polymerase Inhibitors, Carcinoma, Ovarian Epithelial, Animals, Antineoplastic Agents, Female, Humans, Biomarkers, Tumor, Treatment Outcome, Platinum Compounds, Drug Resistance, Neoplasm, Precision Medicine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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