Clinical and pathologic features of patients with non-epithelial ovarian cancer: retrospective analysis of a single institution 15-year experience

Kempf, Emmanuelle; Désaméricq, Gaëlle; Vieites, Begoña; Díaz-Padilla, Iván; Calvo, E.; Estévez, Purificación; García-Arreza, Aida; Martínez-Maestre, María Ángeles; Durán, Ignacio

doi:10.1007/s12094-016-1517-x

Cited by 6 publications

(10 citation statements)

References 27 publications

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“…Clinically, the pathologic staging is commonly considered as the gold standard for the assessment of the recurrence risk [24] and prognosis [25] of OvCa patients. is conclusion was also confirmed in our study, showing that pathologic staging was an independent factor for the prediction of DFS (that is, the prognosis was the worst in stage 4) after multivariate Cox regression analysis.…”

Section: Discussionmentioning

confidence: 99%

Recurrence-Associated Multi-RNA Signature to Predict Disease-Free Survival for Ovarian Cancer Patients

Chen

et al. 2020

BioMed Research International

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Ovarian cancer (OvCa) is an intractable gynecological malignancy due to the high recurrence rate. Several molecular biomarkers have been previously screened for early identifying patients with a high recurrence risk and poor prognosis. However, all the known studies focused on a single type of RNAs, not integrating various types. This study was to construct a new multi-RNA-based model to predict the recurrence and prognosis for OvCa patients by using the messenger RNA (mRNA, including long noncoding RNA (lncRNA)) and microRNA (miRNA) sequencing data of The Cancer Genome Atlas database. After univariate Cox regression and least absolute shrinkage and selection operator analyses, a multi-RNA-based signature (2 miRNAs: hsa-miR-508, hsa-miR-506; 1 lncRNA: TM4SF1-AS1; 11 mRNAs: MAGI3, SLAMF7, GLI2, PDK1, ARID3A, PLEKHG4B, TNFAIP8L3, C1QTNF3, NDUFAF1, CH25H, TMEM129) was generated and used to establish a risk score model. The high- and low-risk patients classified by the median risk score exhibited significantly different recurrence risks (89% versus 61%, p<0.001) and survival time (the area under the receiver operating characteristic curve (AUC) = 0.901 for 5-year disease-free survival (DFS)). This risk model was independent of other clinical features and superior to pathologic staging for DFS prediction (AUC, 0.906 versus 0.524; C-index, 0.633 versus 0.510). Furthermore, some new interaction axes were revealed to explain the possible functions of these RNAs (competing endogenous RNA: TM4SF1-AS1-miR-186-STEAP2, LINC00536-miR-508-STEAP2, LINC00475-miR-506-TMEM129; coexpression: LINC00598-PLEKHG4B). In conclusion, this multi-RNA-based risk model may be clinically useful to stratify OvCa patients with different recurrence risks and survival outcomes and included RNAs may be potential therapeutic targets.

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Section: Discussionmentioning

confidence: 99%

Recurrence-Associated Multi-RNA Signature to Predict Disease-Free Survival for Ovarian Cancer Patients

Chen

et al. 2020

BioMed Research International

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“…Most ovarian tumors are epithelial in origin, whereas only 10% of ovarian cancers are non-epithelial tumors. [2][3] Ovarian germ cell (GC) tumors are more likely to be found in young women, and the peak tumor incidence occurs at 15 to 19 years of age. 2 Sex cord-stromal cell (SCSC) tumors are more likely to affect adult women between the ages of 30 to 59 years.…”

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confidence: 99%

“…[2][3] Ovarian germ cell (GC) tumors are more likely to be found in young women, and the peak tumor incidence occurs at 15 to 19 years of age. 2 Sex cord-stromal cell (SCSC) tumors are more likely to affect adult women between the ages of 30 to 59 years. 2 One significant protective factor of GC tumors is the use of oral contraceptives, which reduces the chance of developing ovarian cancer by 20% if used for 5 years.…”

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confidence: 99%

“…1 Various studies found overall good prognosis and survival rates for NEOT. 2,4,5 However, etiologies and best management practices of NEOT remain poorly understood due to disease rarity and lack of study results. 2 The most common types of NEOTs are GC tumors tumors with incidence values of 4 per 1,000,000 and SCSC with incidence values of 2 per 1,000,000 women.…”

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confidence: 99%

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Demographic features, clinical characteristics, and prognostic factors of non-epithelial ovarian tumors at Princess Noorah Oncology Center, National Guard Hospital, Jeddah, Saudi Arabia

Balkhy

Saleh

Jabali

et al. 2022

SMJ

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“…Most ovarian malignancies derived from epithelial tissue, while nonepithelial malignancies only cover 5-10% of all cases. The largest group of nonepithelial malignancies is germ cell tumor [3,4]. The survival and cure rates of OMGCTs are good due to their high sensitivity to chemotherapy [3,5].…”

Section: Introductionmentioning

confidence: 99%

The potential of programmed death ligand-1 expression in ovarian malignant germ cell tumors as a prognostic factor

Harahap

Tjahjadi

Kusmardi

2020

Revista Romana De Medicina De Laborator

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Background: Ovarian malignant germ cell tumors (OMGCT) that fail to recover with conventional management have a poor prognosis. Several recurrent events after chemotherapy have been found. Programmed death ligand-1 (PD-L1) is expressed in various malignancies and tumor infiltrating lymphocytes (TILs) with a known role as a prognostic factor.Objective: To determine the role of PD-L1 expression in OMGCT in determining overall survival (OS) and progression-free survival (PFS).Methods: Expression of PD-L1 was assessed from PD-L1 immunohisto-chemistry in paraffin block preparations from 40 patients diagnosed with OMGCT who met the inclusion criteria. The relationship between clinicopathological characteristics and OS and PFS was analyzed using the Kaplan-Meier method and multivariate analysis using the Cox regression model.Results: No significant relationship was found between PD-L1 expression in tumor cells with 2-year OS (p=0.275) and PFS (p=0.421) in OMGCT. A significant association was found between histopathologic types with 2-year OS (p=0.002), and cancer stage with 2- year OS (p=0.028) and PFS (p=0.014).Conclusion: PD-L1 expression in tumor cells was not related to OS and PFS in OMGCT patients. There is a tendency for death and recurrence in patients OMGCTs with low PD-L1 expression in tumor cells.

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Clinical and pathologic features of patients with non-epithelial ovarian cancer: retrospective analysis of a single institution 15-year experience

Abstract: Despite their rarity, NEOCs remain a highly curable group of neoplasm. In our series, a more conservative treatment approach in ovarian GCTs revealed comparable OS outcomes to SCST. No new risk factors that would help in patient stratification were identified.

Cited by 6 publications

References 27 publications

Recurrence-Associated Multi-RNA Signature to Predict Disease-Free Survival for Ovarian Cancer Patients

Recurrence-Associated Multi-RNA Signature to Predict Disease-Free Survival for Ovarian Cancer Patients

Demographic features, clinical characteristics, and prognostic factors of non-epithelial ovarian tumors at Princess Noorah Oncology Center, National Guard Hospital, Jeddah, Saudi Arabia

The potential of programmed death ligand-1 expression in ovarian malignant germ cell tumors as a prognostic factor

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