| Literature DB >> 26096019 |
Stephanie Lheureux1, Katherine Karakasis1, Elise C Kohn2, Amit M Oza1.
Abstract
The diagnosis, investigation, and management of ovarian cancer are in a state of flux-balancing ever rapid advances in our understanding of its biology with 3 decades of clinical trials. Clinical trials that started with empirically driven selections have evolved in an evidence-informed manner to gradually improve outcome. Has this improved understanding of the biology and associated calls to action led to appropriate changes in therapy? In this review, the authors discuss incorporating emerging data on biology, combinations, dose, and scheduling of new and existing agents with patient preferences in the management of women with ovarian cancer.Entities:
Keywords: biology; biomarkers; ovarian cancer; strategy; treatment
Mesh:
Substances:
Year: 2015 PMID: 26096019 PMCID: PMC4744728 DOI: 10.1002/cncr.29481
Source DB: PubMed Journal: Cancer ISSN: 0008-543X Impact factor: 6.860
Prioritization Questions in the Management of Ovarian Cancer and Current Proposed Strategies
| Question | Current Practice | Remaining Challenges | Current Proposed Strategy |
|---|---|---|---|
| Should we continue adjuvant chemotherapy in type 1 OC? | Carboplatin/paclitaxel for OC, all histologic subtypes | To determine the benefit of chemotherapy in low‐grade serous, low‐grade endometrioid, mucinous, and clear cell carcinomas | • Meta‐analyses from phase 2/3 clinical trials • Clinical database for patient follow‐up • Expert pathology for histology diagnosis • Trials need to be designed to take into consideration the different histology subtypes • Control arms would potentially incorporate a no‐treatment arm |
| What is the importance of “maintenance” therapy in HGSOC as part of the treatment plan? | Adjuvant maintenance therapy is for a predefined period | Treatment duration in maintenance may be arbitrary and needs precision, balancing safety, efficacy with cost and effectiveness | • Stratification on |
| Choice of maintenance between antiangiogenics and PARP inhibitors needs further definition | • Better characterization of the dominant tumor feature that needs to be targeted at the time of recurrence with imaging, ctDNA, and tumor tissue profiling | ||
| • Integrated biomarkers: scheduled and defined in the laboratory manual as part of the clinical trial | |||
| • Clinical database for patient follow‐up | |||
| How we should decide on sequence therapy? | The platinum‐free interval (PFI) is used as an algorithm to define subsequent therapy | PFI is subject to variability based on follow‐up and imaging and is not based on clear biologic principles | • Validate algorithms in a consistent manner, particularly after maintenance therapy |
| PFI may be modulated by therapy, making interpretation of PFI for subsequent therapy more challenging | • Correlate effect of PFI with tumor biology using tissue assessment and functional imaging |
Abbreviations: BRCA1/2, breast cancer susceptibility genes 1 and 2; CT, computed tomography; ctDNA, circulating tumor deoxyribonucleic acid; HGSOC, high‐grade serous ovarian cancer; OC, ovarian cancer; PARP, poly (ADP‐ribose) polymerase.
Figure 1Current treatment strategy in ovarian cancer is illustrated. HGSOC, high‐grade serous ovarian cancer; LGSOC, low‐grade serous ovarian cancer; mBRCA, breast cancer gene mutation.
Figure 2Treatment evolution based on biology and evidence is illustrated. Green circles indicate data evidence for treatment use; orange circles, lack of validation to support treatment use; red circles, no evidence for treatment use. ARID1A indicates AT‐rich interactive domain 1A; BRAF, v‐raf murine sarcoma viral oncogene homolog B1; HER2, human epidermal growth factor receptor 2; HGSOC, high‐grade serous ovarian cancer; HRD, homologous repair deficiency; KRAS, Kirsten rat sarcoma viral oncogene homolog; LGSOC, low‐grade serous ovarian cancer; mBRCA, breast cancer susceptibility gene mutation; MEK, mitogen extra cellular signal‐regulated kinase; NRAS, neuroblastoma RAS viral oncogene homolog; PARP, poly (ADP‐ribose) polymerase; PIK3CA, phosphoinositide‐3‐kinase, catalytic, α polypeptide; PPP2R1α, protein phosphatase 2, subunit A, α isoform; PTEN, phosphatase and tensin homolog; TP53, tumor protein p53.