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- Gyllensten, Ulf B., et al.
(författare)
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Next Generation Plasma Proteomics Identifies High-Precision Biomarker Candidates for Ovarian Cancer
- 2022
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Ingår i: Cancers. - : MDPI AG. - 2072-6694. ; 14:7
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Tidskriftsartikel (refereegranskat)abstract
- Simple Summary Ovarian cancer is the eighth most common cancer among women and has a 5-year survival of only 30-50%. The survival is close to 90% for patients in stage I but only 20% for patients in stage IV. The presently available biomarkers have insufficient sensitivity and specificity for early detection and there is an urgent need to identify novel biomarkers. The aim of our study was to broadly measure protein biomarkers to find tests for the early detection of ovarian cancer. We found that combinations of 4-7 protein biomarkers can provide highly accurate detection of early- and late-stage ovarian cancer compared to benign conditions. The performance of the tests was then validated in a second independent cohort. Background: Ovarian cancer is the eighth most common cancer among women and has a 5-year survival of only 30-50%. The survival is close to 90% for patients in stage I but only 20% for patients in stage IV. The presently available biomarkers have insufficient sensitivity and specificity for early detection and there is an urgent need to identify novel biomarkers. Methods: We employed the Explore PEA technology for high-precision analysis of 1463 plasma proteins and conducted a discovery and replication study using two clinical cohorts of previously untreated patients with benign or malignant ovarian tumours (N = 111 and N = 37). Results: The discovery analysis identified 32 proteins that had significantly higher levels in malignant cases as compared to benign diagnoses, and for 28 of these, the association was replicated in the second cohort. Multivariate modelling identified three highly accurate models based on 4 to 7 proteins each for separating benign tumours from early-stage and/or late-stage ovarian cancers, all with AUCs above 0.96 in the replication cohort. We also developed a model for separating the early-stage from the late-stage achieving an AUC of 0.81 in the replication cohort. These models were based on eleven proteins in total (ALPP, CXCL8, DPY30, IL6, IL12, KRT19, PAEP, TSPAN1, SIGLEC5, VTCN1, and WFDC2), notably without MUCIN-16. The majority of the associated proteins have been connected to ovarian cancer but not identified as potential biomarkers. Conclusions: The results show the ability of using high-precision proteomics for the identification of novel plasma protein biomarker candidates for the early detection of ovarian cancer.
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| 2. |
- Jonsdottir, Björg, et al.
(författare)
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The Peritoneal Cancer Index is a Strong Predictor of Incomplete Cytoreductive Surgery in Ovarian Cancer.
- 2021
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Ingår i: Annals of Surgical Oncology. - : Springer Nature. - 1068-9265 .- 1534-4681. ; :1, s. 244-251
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Extent of tumor load is an important factor in the selection of ovarian cancer patients for cytoreductive surgery (CRS). The Peritoneal Cancer Index (PCI) gives exact information on tumor load but still is not standard in ovarian cancer surgery. The aim of this study was to find a PCI cutoff for incomplete CRS. The secondary aims were to identify reasons for open-close surgery and to compare surgical complications in relation to tumor burden.METHODS: The study included 167 women with stage III or IV ovarian cancer scheduled for CRS. Possible predictors of incomplete surgery were evaluated with receiver operator curves, and a PCI cutoff was identified. Surgical complications were analyzed by one-way analysis of variance and Chi square tests.RESULTS: The median PCI score for all the patients was 22 (range 3-37) but 33 (range 25-37) for the patients with incomplete surgery (n = 19). The PCI predicted incomplete CRS, with an area under the curve of 0.94 (95% confidence interval [CI], 0.91-0.98). Complete CRS was obtained for 67.2% of the patients with a PCI higher than 24, who experienced an increased rate of complications (p = 0.008). Overall major complications were found in 16.9% of the cases. Only 28.6% of the patients with a PCI higher than 33 achieved complete CRS. The reason for open-close surgery (n = 14) was massive carcinomatosis on the small bowel in all cases.CONCLUSION: The study found PCI to be an excellent predictor of incomplete CRS. Due to a lower surgical success rate, the authors suggest that neoadjuvant chemotherapy could be considered if the PCI is higher than 24. Preoperative radiologic assessment should focus on total tumor burden and not necessarily on specific regions.
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| 3. |
- Lomnytska, Marta, PhD, 1979-, et al.
(författare)
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Peritoneal cancer index predicts severe complications after ovarian cancer surgery
- 2021
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Ingår i: European Journal of Surgical Oncology. - : Elsevier. - 0748-7983 .- 1532-2157. ; 47:11, s. 2915-2924
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Tidskriftsartikel (refereegranskat)abstract
- INTRODUCTION: prediction and importance of severe postoperative complications after ovarian cancer surgery is a strong issue in patient selection and evaluation. Pre- and early peroperative predictors of severe 30-days postoperative complications (Clavien-Dindo class ≥3) after surgery for primary ovarian cancer are not fully established, neither their impact on patients' survival.MATERIALS AND METHODS: A prospective observational study included 256 patients with primary ovarian cancer FIGO stages IIB-IV, operated during 2009-2018 in a primary or interval debulking surgery setting. Patient variables were analysed in relation to severe postoperative complications (Clavien-Dindo class ≥3) and overall survival.RESULTS: High-grade postoperative complications occurred in 24.2% patients. Class 3a complications were observed in 12.5% cases. High-grade complications class ≥3 were observed in 31.6% after primary debulking surgery compared to 12.2% after interval debulking surgery (p = 0.0004). Peritoneal cancer index ≥21 and preoperative albumin concentration ≤33 g/L were independent predictors of high-grade complications. Peritoneal cancer index correlated with the surgical complexity score and completeness of cytoreduction. Increased peritoneal cancer index was a negative predictor of overall survival, but high-grade complications did not influence survival negatively.CONCLUSIONS: Peritoneal cancer index ≥21 was an independent predictor of high-grade complications after ovarian cancer surgery. Increased peritoneal cancer index also impacted overall survival negatively, but high-grade complications did not influence overall survival.
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