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OBJECTIVE: To compare survival and morbidity rates between primary cytoreductive surgery (pCRS) and interval cytoreductive surgery (iCRS) for epithelial ovarian cancer (EOC), using a propensity score. DESIGN: We conducted a propensity score-matched cohort study, using data from the FRANCOGYN cohort. SETTING: Retrospective, multicentre study of data from patients followed in 15 French department specialized in the treatment of ovarian cancer. SAMPLE: Patients included were those with International Federation of Gynaecology and Obstetrics (FIGO) stage III or IV EOC, with peritoneal carcinomatosis, having undergone CRS. METHODS: The propensity score was designed using pre-therapeutic variables associated with both treatment allocation and overall survival (OS). MAIN OUTCOME MEASURES: The primary outcome was OS. Secondary outcomes included recurrence-free survival (RFS), quality of CRS and other variables related to surgical morbidity. RESULTS: A total of 513 patients were included. Among these, 334 could be matched, forming 167 pairs. No difference in OS was found (hazard ratio, HR = 0.8, p = 0.32). There was also no difference in RFS (median = 26 months in both groups) nor in the rate of CRS leaving no macroscopic residual disease (pCRS 85%, iCRS 81.4%, p = 0.76). The rates of gastrointestinal tract resections, stoma, postoperative complications and hospital stay were significantly higher in the pCRS group. CONCLUSIONS: Analysis of groups of patients made comparable by propensity score matching showed no difference in survival, but lower postoperative morbidity in patients treated with iCRS.
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International Federation of Gynecology and Obstetrics (FIGO) staging classification for stage IV epithelial ovarian cancer (EOC) separates stages IVA (pleural effusion) and IVB (parenchymal and/or extra-abdominal lymph node metastases). We aimed to evaluate its prognostic impact and to compare survival according to the initial metastatic location. We conducted a multicenter study between 2000 and 2020, including patients with a FIGO stage IV EOC. Primary endpoint was overall survival (OS). The secondary endpoints were progression-free survival (PFS) and recurrence rates. We included 307 patients: 98 (32%) had FIGO stage IVA and 209 (68%) had FIGO stage IVB. The median OS and PFS of stage IVA patients were significantly lower than those of stage IVB patients (31 versus 45 months (p = 0.02) and 18 versus 25 months (p = 0.01), respectively). Recurrence rate was higher in stage IVA than IVB patients (65% versus 47% (p = 0.004)). Initial pleural involvement was a poor prognostic factor with a median OS of 35 months versus 49 months for patients without initial pleural involvement (p = 0.024). Patients with FIGO stage IVA had a worse prognosis than patients with FIGO stage IVB EOC. Pleural involvement appears to be relevant for predicting survival. We suggest a modification of the current FIGO staging classification.
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BACKGROUND: No circulating biomarker is available for endometrial carcinoma (EC). We aimed to identify DNA positions universally hypermethylated in EC, and to develop a digital droplet PCR (ddPCR) assay for detection of hypermethylated circulating tumor DNA (meth-ctDNA) in plasma from patients with EC. METHODS: DNA positions hypermethylated in EC, and without unspecific hypermethylation in tissue/cell types releasing circulating cell-free DNA in plasma, were identified in silico from TCGA/Gene Expression Omnibus (GEO) data. A methylation-specific ddPCR (meth-ddPCR) assay following bisulfite conversion of DNA extracted from plasma was optimized for detection of meth-ctDNA according to dMIQE guidelines. Performances were validated on a retrospective cohort (n = 78 tumors, n = 30 tumor-adjacent tissues), a prospective pilot cohort (n = 33 stage I-IV patients), and 55 patients/donors without cancer. RESULTS: Hypermethylation of zinc finger and SCAN domain containing 12 (ZSCAN12) and/or oxytocin (OXT) classified EC samples from multiple noncancer samples with high diagnostic specificity/sensitivity [>97%; area under the curve (AUC) = 0.99; TCGA/GEO tissues/blood samples]. These results were confirmed in the independent retrospective cohort (AUC = 0.99). Meth-ddPCR showed a high analytical specificity (limit of blank = 2) and sensitivity (absolute lower threshold of detection = 50 pgmethDNA/mLplasma). In the pilot cohort, meth-ctDNA was detected in pretreatment plasma samples from 9/11 and 5/20 patients with advanced and non-advanced EC, respectively. 2 of 9 patients had ctDNA detected after macroscopic complete surgery and experienced progression within 6 months. No healthy donors had any copy of hypermethylated DNA detected in plasma. CONCLUSIONS: Meth-ddPCR of ZSCAN12/OXT allows a highly specific and sensitive detection of ctDNA in plasma from patients with EC and appears promising for personalized approaches for these patients.
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ADN Tumoral Circulante , Neoplasias Endometriales , Biomarcadores de Tumor/genética , ADN Tumoral Circulante/genética , Neoplasias Endometriales/diagnóstico , Neoplasias Endometriales/genética , Femenino , Humanos , Reacción en Cadena de la Polimerasa/métodos , Estudios Prospectivos , Estudios RetrospectivosRESUMEN
BACKGROUND: Despite recent advances in endometrial carcinoma (EC) molecular characterization, its prognostication remains challenging. We aimed to assess whether RNAseq could stratify EC patient prognosis beyond current classification systems. METHODS: A prognostic signature was identified using a LASSO-penalized Cox model trained on TCGA (N = 543 patients). A clinically applicable polyA-RNAseq-based work-flow was developed for validation of the signature in a cohort of stage I-IV patients treated in two Hospitals [2010-2017]. Model performances were evaluated using time-dependent ROC curves (prediction of disease-specific-survival (DSS)). The additional value of the RNAseq signature was evaluated by multivariable Cox model, adjusted on high-risk prognostic group (2021 ESGO-ESTRO-ESP guidelines: non-endometrioid histology or stage III-IVA orTP53-mutated molecular subgroup). RESULTS: Among 209 patients included in the external validation cohort, 61 (30%), 10 (5%), 52 (25%), and 82 (40%), had mismatch repair-deficient, POLE-mutated, TP53-mutated tumors, and tumors with no specific molecular profile, respectively. The 38-genes signature accurately predicted DSS (AUC = 0.80). Most disease-related deaths occurred in high-risk patients (5-years DSS = 78% (95% CI = [68%-89%]) versus 99% [97%-100%] in patients without high-risk). A composite classifier accounting for the TP53-mutated subgroup and the RNAseq signature identified three classes independently associated with DSS: RNAseq-good prognosis (reference, 5-years DSS = 99%), non-TP53 tumors but with RNAseq-poor prognosis (adjusted-hazard ratio (aHR) = 5.75, 95% CI[1.14-29.0]), and TP53-mutated subgroup (aHR = 5.64 [1.12-28.3]). The model accounting for the high-risk group and the composite classifier predicted DSS with AUC = 0.84, versus AUC = 0.76 without (p = 0.01). CONCLUSION: RNA-seq profiling can provide an additional prognostic information to established classification systems, and warrants validation for potential RNAseq-based therapeutic strategies in EC.