ReviewGland surgery2020
Secondary and tertiary ovarian cancer recurrence: what is the best management?
Review in Gland surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 63 citations in OpenAlex.
- Role of radiomics as a predictor of disease recurrence in ovarian cancer: a systematic review.Abdominal radiology (New York) · 2024Pooled it
- Clinical guidelines for ovarian cancer: the Korean Society of Gynecologic Oncology guidelines.Journal of gynecologic oncology · 2024Pooled it
- Trial
- Article
- Anti-PD-1 Treatment Restores Effector Function in Exhausted-like T Cells from Malignant Ascites of Ovarian Cancer Patients.Cancers · 2026Article
- Functional profiling of ovarian cancer models reveals Bcl-xL/NOTCH targeting to overcome resistance.NPJ precision oncology · 2026Article
- Podoplanin-positive extracellular vesicles in ovarian cancer: linking thrombosis, platelet crosstalk, and cancer stemness - a narrative review.Annals of medicine and surgery (2012) · 2026Article
- Olvi-Vec oncolytic immunotherapy and reversal of platinum resistance in ovarian cancer.Gynecologic oncology reports · 2026Article
- Carboxylesterase 1 is a core metabolic vulnerability of platinum-resistant high-grade serous ovarian carcinoma.Journal of experimental & clinical cancer research : CR · 2026Article
- Systems-Level Mapping of the Tumor Microenvironment Reveals Immune-Mediated Mechanisms and Potential Targets in Platinum-Resistant Ovarian Cancer.Research square · 2026Article
- Development of a novel multimodal deep learning approach to improve diagnostic precision in ovarian cancer.Briefings in bioinformatics · 2026Article
- Chemoresistance in gynecologic cancers: mechanistic insights and emerging platforms to overcome drug failure.Journal of ovarian research · 2026Review
- Natural Compounds as Epimodulators in Epithelial Ovarian Cancer.Epigenomes · 2026Review
- Clinical validation of a DNA methylation biomarker associated with overall survival of relapsed ovarian cancer patients.International journal of cancer · 2026Article
- The role of PET/CT in preoperative decision-making for secondary cytoreduction in recurrent ovarian cancer.BMC cancer · 2026Article
- A Scoping Review of the Challenges and Future Perspectives in the Use of Alpha-Emitters for Metastatic Ovarian Cancer.Molecules (Basel, Switzerland) · 2026Article
- Ovarian cancer.Nature reviews. Disease primers · 2026Review
- Article
- Multimodal deep learning using preoperative CT and ultrasound for recurrence risk prediction in high-grade serous ovarian carcinoma.BMC medical imaging · 2026Article
- FOXA1 in Ovarian Cancer: A Potential Therapeutic Target to Enhance Immunotherapy Efficacy.International journal of molecular sciences · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ovarian cancer with complete clinical response recurs with a high rate. Recurrence is observed in almost 25% of cases with early-stage diseases and in more than 80% with more advance stages. Based on a platinum-free interval cut-off of 6 months, the first recurrence is usually classified in platinum-sensitive versus platinum-resistant, reflecting the biological characteristics underlying the clinical behavior. After this first recurrence, the patients are rarely cured, but second-line therapy can provide significant clinical responses, particularly in first platinum-sensitive recurrence. The approach to secondary and tertiary recurrence follows the same general principles applied in the first recurrence. Platinum-sensitivity based on the treatment-free interval defines the available chemotherapeutic regimens, whit less therapeutic options and a generally worse prognosis in platinum-resistant recurrent disease. Nevertheless, in this scenario, the introduction of new targeted therapies changed the prognosis of patients with both platinum-sensitive and platinum-resistant recurrence. The first introduced antiangiogenic therapy resulted able to improve prognosis in recurrent disease both as a single-agent and combined therapy, although the growing adoption in the first line therapy requires further investigation to prove their efficacy after repeated use. More recently, the approach to secondary, tertiary, and later recurrence has been changed by the introduction of PARP inhibitors, which resulted effective as maintenance monotherapy in both platinum-sensitive and platinum-resistant recurrence when the genetic background of the tumor allows their application with a significant improvement of oncological outcomes. Overall, although the growing body of promising therapeutic options to approach recurrent ovarian cancer, all the available evidence suggests that the best unique management of secondary and tertiary recurrence does not exist but should be personalized based on the disease characteristics, previous treatments, patient characteristics, and patient preference. On that basis, in this review, we report a general and complete overview of the approach at the secondary and tertiary ovarian cancer recurrence with the aim to provide a wide vision on the multiple available therapeutic options.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.