Prognostic impact and causality of age on oncological outcomes in women with endometrial cancer: a multimethod analysis of the randomised PORTEC-1, PORTEC-2, and PORTEC-3 trials

BACKGROUND

Numerous studies have shown that older women with endometrial cancer have a higher risk of recurrence and cancer-related death. However, it remains unclear whether older age is a causal prognostic factor, or whether other risk factors become increasingly common with age. We aimed to address this question with a unique multimethod study design using state-of-the-art statistical and causal inference techniques on datasets of three large, randomised trials.

METHODS

In this multimethod analysis, data from 1801 women participating in the randomised PORTEC-1, PORTEC-2, and PORTEC-3 trials were used for statistical analyses and causal inference. The cohort included 714 patients with intermediate-risk endometrial cancer, 427 patients with high-intermediate risk endometrial cancer, and 660 patients with high-risk endometrial cancer. Associations of age with clinicopathological and molecular features were analysed using non-parametric tests. Multivariable competing risk analyses were performed to determine the independent prognostic value of age. To analyse age as a causal prognostic variable, a deep learning causal inference model called AutoCI was used.

FINDINGS

Median follow-up as estimated using the reversed Kaplan-Meier method was 12·3 years (95% CI 11·9-12·6) for PORTEC-1, 10·5 years (10·2-10·7) for PORTEC-2, and 6·1 years (5·9-6·3) for PORTEC-3. Both overall recurrence and endometrial cancer-specific death significantly increased with age. Moreover, older women had a higher frequency of deep myometrial invasion, serous tumour histology, and p53-abnormal tumours. Age was an independent risk factor for both overall recurrence (hazard ratio [HR] 1·02 per year, 95% CI 1·01-1·04; p=0·0012) and endometrial cancer-specific death (HR 1·03 per year, 1·01-1·05; p=0·0012) and was identified as a significant causal variable.

INTERPRETATION

This study showed that advanced age was associated with more aggressive tumour features in women with endometrial cancer, and was independently and causally related to worse oncological outcomes. Therefore, our findings suggest that older women with endometrial cancer should not be excluded from diagnostic assessments, molecular testing, and adjuvant therapy based on their age alone.

FUNDING

None.

Randomized Phase III Study Comparing Neoadjuvant Chemotherapy Followed by Surgery Versus Chemoradiation in Stage IB2-IIB Cervical Cancer: EORTC-55994

PURPOSE

This multicenter trial by the European Organisation for Research and Treatment of Cancer Gynecological Cancer Group was motivated by conflicting evidence on the value of neoadjuvant chemotherapy before surgery compared with concomitant chemoradiotherapy (CCRT) in stage IB2-IIB cervical carcinoma.

METHODS

Between May 2002 and January 2014, 626 patients with International Federation of Gynecology and Obstetrics stage IB2-IIb were randomly assigned between neoadjuvant chemotherapy followed by surgery (NACT-S; n = 314) and standard CCRT (n = 312). The primary end point was 5-year overall survival (OS) rate. Secondary end points were progression-free survival, OS, toxicity, and health-related quality of life (HRQOL).

RESULTS

After a median follow-up of 8.7 years, 198 patients (31.6%) died. Age, stage, and cell type were balanced in both arms. Protocol treatment was completed in 223 of 314 (71%) patients in NACT-S and 257 of 312(82%) in CCRT arms. Main reasons for incomplete protocol treatment were toxicity (30 of 314; 9.6%) and progressive disease (21 of 314; 6.7%) in the NACT-S arm and toxicity (23 of 312; 7.4%) and patient refusal (13 of 312; 4.2%) in the CCRT arm. Additional radiotherapy after completed NACT-S was given to 107 patients (48%), and additional surgery to 20 patients (8%) after completed CCRT. Short-term adverse events (AEs) ≥grade 3 occurred more frequently with NACT-S (41% v 23%), and long-term AEs ≥grade 3 more often with CCRT (21% v 15%). The 5-year OS was not significantly different between NACT-S (72%; 95% CI, 66 to 77) and CCRT (76%; 95% CI, 70 to 80).

CONCLUSION

This trial failed to demonstrate superiority in favor of the NACT-S arm but resulted in acceptable morbidity and HRQOL in both arms.

Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival

Host immunity involves various immune cells working in concert to achieve balanced immune response. Host immunity interacts with tumorigenic process impacting disease outcome. Clusters of different immune cells may reveal unique host immunity in relation to breast cancer progression. CIBERSORT algorithm was used to estimate relative abundances of 22 immune cell types in 3 datasets, METABRIC, TCGA, and our study. The cell type data in METABRIC were analyzed for cluster using unsupervised hierarchical clustering (UHC). The UHC results were employed to train machine learning models. Kaplan-Meier and Cox regression survival analyses were performed to assess cell clusters in association with relapse-free and overall survival. Differentially expressed genes by clusters were interrogated with IPA for molecular signatures. UHC analysis identified two distinct immune cell clusters, clusters A (83.2%) and B (16.8%). Memory B cells, plasma cells, CD8 positive T cells, resting memory CD4 T cells, activated NK cells, monocytes, M1 macrophages, and resting mast cells were more abundant in clusters A than B, whereas regulatory T cells and M0 and M2 macrophages were more in clusters B than A. Patients in cluster A had favorable survival. Similar survival associations were also observed in other independent studies. IPA analysis showed that pathogen-induced cytokine storm signaling pathway, phagosome formation, and T cell receptor signaling were related to the cell type clusters. Our finding suggests that different immune cell clusters may indicate distinct immune responses to tumor growth, suggesting their potential for disease management.

Hormone Receptors and Epithelial Ovarian Cancer: Recent Advances in Biology and Treatment Options

Epithelial ovarian cancer (EOC) is a significant cause of cancer-related mortality in women. Despite advances in diagnosis and treatment, EOC remains a challenging disease to manage, and the 5-year survival rate is still poor. The role of hormone receptors (HRs) in EOC carcinogenesis and prognosis has been actively explored; however, the role of hormone therapy (HT) in the treatment of these tumors is not well established. Most available data on HT mainly come from retrospective series and small early clinical trials. Several of these studies suggest that HT may have a role in adjuvant, maintenance therapy, or in the case of recurrent disease, especially for some subtypes of EOC (e.g., low-grade serous EOC). Furthermore, HT has recently been combined with targeted therapies, but most studies evaluating these combinations are still ongoing. The main aim of this review is to provide an overview of the progress made in the last decade to characterize the biological and prognostic role of HRs for EOC and the developments in their therapeutic targeting through HT.

A comprehensive investigation of histotype-specific microRNA and their variants in Stage I epithelial ovarian cancers

isomiRs, the sequence-variants of microRNA, are known to be tissue and cell type specific but their physiological role is largely unknown. In our study, we explored for the first time the expression of isomiRs across different Stage I epithelial ovarian cancer (EOC) histological subtypes, in order to shed new light on their biological role in tumor growth and progression. In a multicentric retrospective cohort of tumor biopsies (n = 215) we sequenced small RNAs finding 971 expressed miRNAs, 64% of which are isomiRs. Among them, 42 isomiRs showed a clear histotype specific pattern, confirming our previously identified miRNA markers (miR192/194 and miR30a-3p/5p for mucinous and clear cell subtypes, respectively) and uncovering new biomarkers for all the five subtypes. Using integrative models, we found that the 38% of these miRNA expression alterations is the result of copy number variations while the 17% of differential transcriptional activities. Our work represents the first attempt to characterize isomiRs expression in Stage I EOC within and across subtypes and to contextualize their alterations in the framework of the large genomic heterogeneity of this tumor.

Abstract 3020: Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival

Background: Host immunity involves various immune cells working in concert to achieve balanced immune response. Host immunity interacts with tumorigenic process impacting disease outcome. Clusters of different immune cells may indicate specific host-tumor interplay. Identifying the clusters may reveal unique host immunity in response to tumor growth.

Methods: CIBERSORT was used to estimate relative abundances of 22 immune cell types in 3 datasets, METABRIC, TCGA, and our study. The cell type data in METABRIC were analyzed for cluster using unsupervised hierarchical clustering (UHC). The UHC results were employed to train machine learning models, random forest (RF), deep neural network (DNN), stepAIC, and elastic net. Kaplan-Meier and Cox regression survival analyses were performed to assess cell clusters in association with relapse-free and overall survival. Differentially expressed genes (DEGs) by immune cell clusters were interrogated with IPA for molecular signatures.

Results: UHC analysis identified two distinct immune cell clusters, clusters A (83.2%) and B (16.8%). Memory B cells, plasma cells, CD8 positive T cells, resting memory CD4 T cells, activated NK cells, monocytes, M1 macrophages, and resting mast cells were more abundant in clusters A than B, whereas regulatory T cells and M0 and M2 macrophages were more in clusters B than A. Patients in cluster A had favorable survival compared to those in cluster B. Similar survival associations were also observed in TCGA and our study when using a RF model trained with the UHC results. The survival associations were independent from clinicopathological variables. IPA analysis showed that pathogen-induced cytokine storm signaling pathway, phagosome formation, and T cell receptor signaling were related to the cell type clusters.

Conclusions: Our finding suggests that different immune cell clusters may indicate distinct immune responses to tumor growth, suggesting their potential for disease management.

Citation Format: Zhanwei Wang, Dionyssios Katsaros, Junlong Wang, Nicholetta Biglio, Brenda Y. Hernandez, Peiwen Fei, Lingeng Lu, Harvey Risch, Herbert Yu. Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3020.

Abstract 5695: Deep learning risk prediction model of distant recurrence from H&E endometrial cancer slides

Accurate risk prediction of distant recurrence (DR) is crucial for personalized adjuvant systemic therapy of endometrial cancer (EC) stage I-III patients, as DR is associated with a 5-year overall survival of 10-20%. Risk stratification and treatment recommendation are currently based on histopathological and molecular markers, which is challenging due to high inter-observer variability and testing costs respectively. Deep Learning (DL) models can predict prognosis by identifying relevant visual features from H&E whole slide images (WSIs) at different resolutions without prior assumptions. Here, we developed and tested the first interpretable state-of-the-art DL model for WSI-based risk prediction of DR of stage I-III EC (DeREC) from the randomized PORTEC-1/-2/-3 trials and three clinical cohorts with long-term follow-up data. We used one representative H&E WSI each from 1761 EC patients, excluding those who received adjuvant chemotherapy as it lowers the risk of DR. We randomly sampled 20% as a held-out internal test set (N=353 with 62 events; 8.45 year median follow-up) and performed a 5-fold cross-validation on the training set (N=1408). WSIs were partitioned into 360 micron patches at 40x magnification. DeREC combined self-supervised representation learning of patches using a multi-resolution vision transformer and a WSI-level graph attention-based time-to-event prediction model. The model performance of correctly ranking patients by predicted risk scores and true time to DR was measured with the concordance-index and compared with a Cox’ Proportional Hazards (CPH) model fitted on histopathological variables (histotype, grade, lymphovascular space invasion, stage). Discriminative quality of the predicted risk groups was investigated with Kaplan-Meier analysis and the log-rank test. Most predictive patches by predicted risk groups were reviewed by an expert gynecopathologist for identification of prognostic morphological features. DeREC achieved a concordance-index of 0.764 [95%CI 0.754-0.773] on 5-fold cross validation and 0.757 on the test set, as compared to 0.704 [95%CI 0.662-0.746] with CPH. Predicted risk groups around quartiles 1 and 3 accurately stratified patients between low (N=89), intermediate (N=175), high (N=89) risk of DR (p<0.0001). Among the predicted low-risk group only 3 (3.37%) patients relapsed whereas intermediate and high-risk groups counted 27 (15.43%) and 32 (35.96%) events respectively. DeREC is the first DL model accurately distinguishing EC patients at high risk of DR from those at low risk using one H&E WSI, which would aid decisions on adjuvant treatment. DeREC outperformed standard statistical prediction methods using histopathological variables, indicating that it identified prognostic visual features which can be further investigated. Future development includes the integration of clinicopathological and molecular information.

Citation Format: Sarah Fremond, Sonali Andani, Jurriaan Barkey Wolf, Gitte Ørtoft, Estrid Høgdall, Jouke Dijkstra, Jan J. Jobsen, Ina M. Jürgenliemk-Schulz, Ludy CHW Lutgens, Melanie E. Powell, Naveena Singh, Linda R. Mileshkin, Helen J. Mackay, Alexandra Leary, Dionyssios Katsaros, Hans W. Nijman, Stephanie M. de Boer, Remi A. Nout, Vincent T.H.B.M Smit, Carien L. Creutzberg, Nanda Horeweg, Viktor H. Koelzer, Tjalling Bosse. Deep learning risk prediction model of distant recurrence from H&E endometrial cancer slides. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5695.

Clinical research in ovarian cancer: consensus recommendations from the Gynecologic Cancer InterGroup

The Gynecologic Cancer InterGroup (GCIG) sixth Ovarian Cancer Conference on Clinical Research was held virtually in October, 2021, following published consensus guidelines. The goal of the consensus meeting was to achieve harmonisation on the design elements of upcoming trials in ovarian cancer, to select important questions for future study, and to identify unmet needs. All 33 GCIG member groups participated in the development, refinement, and adoption of 20 statements within four topic groups on clinical research in ovarian cancer including first line treatment, recurrent disease, disease subgroups, and future trials. Unanimous consensus was obtained for 14 of 20 statements, with greater than 90% concordance in the remaining six statements. The high acceptance rate following active deliberation among the GCIG groups confirmed that a consensus process could be applied in a virtual setting. Together with detailed categorisation of unmet needs, these consensus statements will promote the harmonisation of international clinical research in ovarian cancer.

Copy number alterations in stage I epithelial ovarian cancer highlight three genomic patterns associated with prognosis

BACKGROUND

Stage I epithelial ovarian cancer (EOC) encompasses five histologically different subtypes of tumors confined to the ovaries with a generally favorable prognosis. Despite the intrinsic heterogeneity, all stage I EOCs are treated with complete resection and adjuvant therapy in most of the cases. Owing to the lack of robust prognostic markers, this often leads to overtreatment. Therefore, a better molecular characterization of stage I EOCs could improve the assessment of the risk of relapse and the refinement of optimal treatment options.

MATERIALS AND METHODS

205 stage I EOCs tumor biopsies with a median follow-up of eight years were gathered from two independent Italian tumor tissue collections, and the genome distribution of somatic copy number alterations (SCNAs) was investigated by shallow whole genome sequencing (sWGS) approach.

RESULTS

Despite the variability in SCNAs distribution both across and within the histotypes, we were able to define three common genomic instability patterns, namely stable, unstable, and highly unstable. These patterns were based on the percentage of the genome affected by SCNAs and on their length. The genomic instability pattern was strongly predictive of patients' prognosis also with multivariate models including currently used clinico-pathological variables.

CONCLUSIONS

The results obtained in this study support the idea that novel molecular markers, in this case genomic instability patterns, can anticipate the behavior of stage I EOC regardless of tumor subtype and provide valuable prognostic information. Thus, it might be propitious to extend the study of these genomic instability patterns to improve rational management of this disease.

LncRNA ZNF582-AS1 Expression and Methylation in Breast Cancer and Its Biological and Clinical Implications

Background: Long non-coding RNAs (lncRNAs) play an important role in cellular activities and functions, but our understanding of their involvement in cancer is limited. Methods: TCGA data on RNA expression and DNA methylation were analyzed for lncRNAs' association with breast cancer survival, using the Cox proportional hazard regression model. Fresh tumor samples and clinical information from 361 breast cancer patients in our study were used to confirm the TCGA finding on ZNF582-AS1. A RT-qPCR method was developed to measure ZNF582-AS1 expression. Survival associations with ZNF582-AS1 were verified with a meta-analysis. In silico predictions of molecular targets and cellular functions of ZNF582-AS1 were performed based on its molecular signatures and nucleotide sequences. Results:ZNF582-AS1 expression was lower in breast tumors than adjacent normal tissues. Low ZNF582-AS1 was associated with high-grade or ER-negative tumors. Patients with high ZNF582-AS1 had a lower risk of relapse and death. These survival associations were confirmed in a meta-analysis and remained significant after adjustment for tumor grade, disease stage, patient age, and hormone receptor status. Correlation analysis indicated the possible suppression of ZNF582-AS1 expression by promoter methylation. Bioinformatics interrogation of molecular signatures suggested that ZNF582-AS1 could suppress tumor cell proliferation via downregulating the HER2-mediated signaling pathway. Analysis of online data also suggested that HIF-1-related transcription factors could suppress ZNF582-AS1 expression, and the lncRNA might bind to hsa-miR-940, a known oncogenic miRNA in breast cancer. Conclusions: ZNF582-AS1 may play a role in suppressing breast cancer progression. Elucidating the lncRNA's function and regulation may improve our understanding of the disease.

Radiation Therapy Techniques and Treatment-Related Toxicity in the PORTEC-3 Trial: Comparison of 3-Dimensional Conformal Radiation Therapy Versus Intensity-Modulated Radiation Therapy

PURPOSE

Radiation therapy techniques have developed from 3-dimensional conformal radiation therapy (3DCRT) to intensity modulated radiation therapy (IMRT), with better sparing of the surrounding normal tissues. The current analysis aimed to investigate whether IMRT, compared to 3DCRT, resulted in fewer adverse events (AEs) and patient-reported symptoms in the randomized PORTEC-3 trial for high-risk endometrial cancer.

METHODS AND MATERIALS

Data on AEs and patient-reported quality of life (QoL) of the PORTEC-3 trial were available for analysis. Physician-reported AEs were graded using Common Terminology Criteria for Adverse Events v3.0. QoL was assessed by the European Organisation for Research and Treatment of Cancer QLQC30, CX24, and OV28 questionnaires. Data were compared between 3DCRT and IMRT. A P value of ≤ .01 was considered statistically significant due to the risk of multiple testing. For QoL, combined scores 1 to 2 ("not at all" and "a little") versus 3 to 4 ("quite a bit" and "very much") were compared between the techniques.

RESULTS

Of 658 evaluable patients, 559 received 3DCRT and 99 IMRT. Median follow-up was 74.6 months. During treatment no significant differences were observed, with a trend for more grade ≥3 AEs, mostly hematologic and gastrointestinal, after 3DCRT (37.7% vs 26.3%, P = .03). During follow-up, 15.4% (vs 4%) had grade ≥2 diarrhea, and 26.1% (vs 13.1%) had grade ≥2 hematologic AEs after 3DCRT (vs IMRT) (both P < .01). Among 574 (87%) patients evaluable for QoL, 494 received 3DCRT and 80 IMRT. During treatment, 37.5% (vs 28.6%) reported diarrhea after 3DCRT (vs IMRT) (P = .125); 22.1% (versus 10.0%) bowel urgency (P = 0039), and 18.2% and 8.6% abdominal cramps (P = .058). Other QoL scores showed no differences.

CONCLUSIONS

IMRT resulted in fewer grade ≥3 AEs during treatment and significantly lower rates of grade ≥2 diarrhea and hematologic AEs during follow-up. Trends toward fewer patient-reported bowel urgency and abdominal cramps were observed after IMRT compared to 3DCRT.

Thromboembolic events and antithrombotic prophylaxis in advanced ovarian cancer patients treated with bevacizumab: secondary analysis of the phase IV MITO-16A/MaNGO-OV2A trial

INTRODUCTION

The use of routine antithrombotic prophylaxis is not recommended for advanced cancer patients receiving chemotherapy. The effect of bevacizumab-containing therapy on the risk of thromboembolic events remains controversial in ovarian cancer patients. We report on the incidence of thromboembolic events and the prevalence of antithrombotic therapy in patients enrolled in the single arm, phase IV, MITO-16A/MaNGO-OV2A trial.

METHODS

In this trial, potential prognostic factors for patients with previously untreated ovarian cancer receiving a combination of platinum-based chemotherapy and bevacizumab were explored and the final analysis has already been reported. In this secondary analysis, the occurrence of thromboembolic events and the use of antithrombotic therapy were described according to the clinical characteristics of the patients. The prognostic role of thromboembolic events for progression-free and overall survival were also evaluated.

RESULTS

From October 2012 to November 2014, 398 eligible patients were enrolled. 76 patients (19.1%) were receiving some type of anticoagulant or anti-aggregant treatment at baseline. Overall, 24 thromboembolic events were reported (cumulative incidence of 6.0%). The occurrence of thromboembolic events was not associated with baseline patient characteristics and was not modified by the use of antithrombotic prophylaxis (HR 0.60, 95% CI 0.18 to 2.0). Occurrence of thromboembolic events was not associated with progression-free survival (HR 1.34, 95% CI 0.83 to 2.15) or overall survival (HR 0.78, 95% CI 0.37 to 1.61).

CONCLUSIONS

In our study, a 6.0% rate of thromboembolic events was reported during treatment with bevacizumab plus chemotherapy. Thromboembolic events were not associated with the clinical characteristics of the patients or with the use of antithrombotic prophylaxis, nor did they significantly affect the long-term prognosis.

TRIAL REGISTRATION NUMBER

NCT01706120.

Bevacizumab, carboplatin, and paclitaxel in the first line treatment of advanced ovarian cancer patients: the phase IV MITO-16A/MaNGO-OV2A study

OBJECTIVE

To explore the clinical and biological prognostic factors for advanced ovarian cancer patients receiving first-line treatment with carboplatin, paclitaxel, and bevacizumab.

METHODS

A multicenter, phase IV, single arm trial was performed. Patients with advanced (FIGO (International Federation of Gynecology and Obstetrics) stage IIIB-IV) or recurrent, previously untreated, ovarian cancer received carboplatin (AUC (area under the curve) 5), paclitaxel (175 mg/m²) plus bevacizumab (15 mg/kg) on day 1 for six 3-weekly cycles followed by bevacizumab single agent (15 mg/kg) until progression or unacceptable toxicity up to a maximum of 22 total cycles. Here we report the final analysis on the role of clinical prognostic factors. The study had 80% power with a two-tailed 0.01 α error to detect a 0.60 hazard ratio with a factor expressed in at least 20% of the population. Both progression-free and overall survival were used as endpoints.

RESULTS

From October 2012 to November 2014, 398 eligible patients were treated. After a median follow-up of 32.3 months (IQR 24.1-40.4), median progression-free survival was 20.8 months (95% CI 19.1 to 22.0) and median overall survival was 41.1 months (95% CI 39.1 to 43.5). Clinical factors significantly predicting progression-free and overall survival were performance status, stage, and residual disease after primary surgery. Neither baseline blood pressure/antihypertensive treatment nor the development of hypertension during bevacizumab were prognostic. There were two deaths possibly related to treatment, but no unexpected safety signal was reported.

CONCLUSIONS

Efficacy and safety of bevacizumab in combination with carboplatin and paclitaxel and as maintenance were comparable to previous data. Hypertension, either at baseline or developed during treatment, was not prognostic. Performance status, stage, and residual disease after primary surgery remain the most important clinical prognostic factors.

TRIAL REGISTRATION NUMBER

EudraCT 2012-003043-29; NCT01706120.

BRCA1 Promoter Methylation and Clinical Outcomes in Ovarian Cancer: An Individual Patient Data Meta-Analysis

BACKGROUND

BRCA1 methylation has been associated with homologous recombination deficiency, a biomarker of platinum sensitivity. Studies evaluating BRCA1-methylated tubal and ovarian cancer (OC) do not consistently support improved survival following platinum chemotherapy. We examine the characteristics of BRCA1-methylated OC in a meta-analysis of individual participant data.

METHODS

Data of 2636 participants across 15 studies were analyzed. BRCA1-methylated tumors were defined according to their original study. Associations between BRCA1 methylation and clinicopathological characteristics were evaluated. The effects of methylation on overall survival (OS) and progression-free survival (PFS) were examined using mixed-effects models. All statistical tests were 2-sided.

RESULTS

430 (16.3%) tumors were BRCA1-methylated. BRCA1 methylation was associated with younger age and advanced-stage, high-grade serous OC. There were no survival differences between BRCA1-methylated and non-BRCA1-methylated OC (median PFS = 20.0 vs 18.5 months, hazard ratio [HR] = 1.01, 95% CI = 0.87 to 1.16; P = .98; median OS = 46.6 vs 48.0 months, HR = 1.02, 95% CI = 0.87 to 1.18; P = .96). Where BRCA1/2 mutations were evaluated (n = 1248), BRCA1 methylation displayed no survival advantage over BRCA1/2-intact (BRCA1/2 wild-type non-BRCA1-methylated) OC. Studies used different methods to define BRCA1 methylation. Where BRCA1 methylation was determined using methylation-specific polymerase chain reaction and gel electrophoresis (n = 834), it was associated with improved survival (PFS: HR = 0.80, 95% CI = 0.66 to 0.97; P = .02; OS: HR = 0.80, 95% CI = 0.63 to 1.00; P = .05) on mixed-effects modeling.

CONCLUSION

BRCA1-methylated OC displays similar clinicopathological features to BRCA1-mutated OC but is not associated with survival. Heterogeneity within BRCA1 methylation assays influences associations. Refining these assays may better identify cases with silenced BRCA1 function and improved patient outcomes.

Hypersensitivity to platinum salts according to BRCA status in ovarian cancer: A retrospective analysis of clinical outcomes and systematic review of literature

BACKGROUND

Hypersensitivity reactions (HSRs) to platinum are an important issue in the treatment of patients (pts) with ovarian cancer (OC). Germline BRCA mutations have been proposed as a risk factor. We aimed at evaluating the incidence and severity of HSRs to platinum in OC pts. with known BRCA status.

PATIENTS AND METHODS

We retrospectively analyzed 432 pts. from 5 Italian Centers. In addition, we performed a systematic review and meta-analysis of published series.

RESULTS

Four hundred nine pts. received at least one prior platinum-based treatment line: 314 were BRCA wild type (77%) and 95 were BRCA mutated (23%). There was no statistical difference in exposure to platinum. Incidence of any grade HSRs was higher among BRCA mutated pts. [9% vs 18%, p = 0.019] and the time-to-HSRs curves show that the risk increases with the duration of platinum exposure, in BRCA mutated pts. more than in BRCA wild type. A multivariable analysis showed that harboring a germline BRCA mutation was related to a higher incidence of HSRs (HR: 1.84, 95% CI 1.00-3.99, p = 0.05) while having received pegylated liposomal doxorubicin (PLD) was related to a lower incidence of HSRs (HR: 0.03 95% CI 0.004-0.22, p = 0.001). The systematic review confirmed the higher incidence of HSRs in BRCA mutated pts., though heterogeneity among series was significant.

CONCLUSIONS

In OC pts. with BRCA mutations, there is a significantly higher incidence of HSRs to carboplatin, not justified by longer drug exposure. On the other hand, PLD exerted a protective role in our series.

Vitamin D receptor upregulates lncRNA TOPORS-AS1 which inhibits the Wnt/β-catenin pathway and associates with favorable prognosis of ovarian cancer

Long non-coding RNAs (lncRNAs) have important biological functions, but their involvement in ovarian cancer remains elusive. We analyzed high-throughput data to identify lncRNAs associated with ovarian cancer outcomes. Our search led to the discovery of lncRNA TOPORS Antisense RNA 1 (TOPORS-AS1). Patients with high TOPORS-AS1 expression had favorable overall survival compared to low expression. This association was replicated in our study and confirmed by meta-analysis. In vitro experiments demonstrated that overexpressing TOPORS-AS1 in ovarian cancer cells suppressed cell proliferation and inhibited aggressive cell behaviors, including migration, invasion, and colony formation. Analysis of tumor cell transcriptomes indicated TOPORS-AS1′s influence on the Wnt/β-catenin signaling. Additional experiments revealed that TOPORS-AS1 increased the phosphorylation of β-catenin and suppressed the expression of CTNNB1, disrupting the Wnt/β-catenin pathway. Our experiments further discovered that vitamin D receptor (VDR) upregulated TOPORS-AS1 expression and that inhibition of β-catenin by TOPORS-AS1 required a RNA binding protein, hnRNPA2B1 (heterogeneous nuclear ribonucleoprotein A2B1). Taken together, these findings suggest that TOPORS-AS1 may behave like a tumor suppressor in ovarian cancer through interrupting the Wnt/β-catenin signaling and that VDR upregulates the expression of TOPORS-AS1. Assessing TOPORS-AS1 expression in ovarian cancer may help predict disease prognosis and develop treatment strategy

Long-Term Toxicity and Health-Related Quality of Life After Adjuvant Chemoradiation Therapy or Radiation Therapy Alone for High-Risk Endometrial Cancer in the Randomized PORTEC-3 Trial

PURPOSE

The survival results of the PORTEC-3 trial showed a significant improvement in both overall and failure-free survival with chemoradiation therapy versus pelvic radiation therapy alone. The present analysis was performed to compare long-term adverse events (AE) and health-related quality of life (HRQOL).

METHODS AND MATERIALS

In the study, 660 women with high-risk endometrial cancer were randomly assigned to receive chemoradiation therapy (2 concurrent cycles of cisplatin followed by 4 cycles of carboplatin/paclitaxel) or radiation therapy alone. Toxicity was graded using Common Terminology Criteria for Adverse Events, version 3.0. HRQOL was measured using EORTC QLQ-C30 and CX24/OV28 subscales and compared with normative data. An as-treated analysis was performed.

RESULTS

Median follow-up was 74.6 months; 574 (87%) patients were evaluable for HRQOL. At 5 years, grade ≥2 AE were scored for 78 (38%) patients who had received chemoradiation therapy versus 46 (24%) who had received radiation therapy alone (P = .008). Grade 3 AE did not differ significantly between the groups (8% vs 5%, P = .18) at 5 years, and only one new late grade 4 toxicity had been reported. At 3 and 5 years, sensory neuropathy toxicity grade ≥2 persisted after chemoradiation therapy in 6% (vs 0% after radiation therapy, P < .001) and more patients reported significant tingling or numbness at HRQOL (27% vs 8%, P < .001 at 3 years; 24% vs 9%, P = .002 at 5 years). Up to 3 years, more patients who had chemoradiation therapy reported limb weakness (21% vs 5%, P < .001) and lower physical (79 vs 87, P < .001) and role functioning (78 vs 88, P < .001) scores. Both treatment groups reported similar long-term global health/quality of life scores, which were better than those of the normative population.

CONCLUSIONS

This study shows a long-lasting, clinically relevant, negative impact of chemoradiation therapy on toxicity and HRQOL, most importantly persistent peripheral sensory neuropathy. Physical and role functioning impairments were seen until 3 years. These long-term data are essential for patient information and shared decision-making regarding adjuvant chemotherapy for high-risk endometrial cancer.

Abstract 1677: Assays of conventional chemotherapeutics and targeted drugs for ovarian cancer using patient derived models

Patients with advanced ovarian cancers have experienced little improvement in overall survival with standard treatments. We used patient derived models to accelerate the discovery of treatment options. We developed a platform of Patient Derived Xenografts (PDX), by implanting and propagating patient's tumor samples collected at surgery in severely immunocompromised mice. From each PDX line we derived short term cultures of PDX Derived Tumor Cells (PDTCs). We envisioned that the weakness of PDXs and PDTCs, i.e. lack of human stromal and immune cells, might be instrumental to link tumor biomarkers to treatments. We have successfully propagated 49 PDX lines from metastatic EOC, which were fully characterized as far as histology, immunohistochemistry of epithelial and tissue specific markers and presence of TP53 and BRCA1/2 mutations. On PDTCs cultures we first assessed sensitivity to Carboplatin, currently used as first-line drug in ovarian cancer treatment. Of PDX lines derived from naïve metastatic HGS-EOC copy number variations and whole exome sequencing analyses were carried out, in order to identify putative and actionable cancer genes. Thus, on PDTCs we assayed also approved or experimental targeted drugs as monotherapy or in combinations. In one PDX line we identified a possibly loss-of-function mutation (W624R) of the PIK3R1 gene (encoding the p85alpha regulatory subunit of PI3K) with an allele frequency of 0.9, which could result in activation of the PI3K pathway. Several PI3K inhibitors were assayed on PDTCs of this PDX line harboring the PIK3R1W624R. Buparlisib (a Pan Class I PI3Ki) showed the ability to block proliferation of the PDTCs and the growth of the relevant PDXs in vivo.

Altogether these data show that Patient Derived models are invaluable tools to unveil actionable pathways for the treatment of advanced/metastatic HGS-EOC.

Citation Format: Concetta D'Ambrosio, Jessica Erriquez, Maddalena Arigoni, Sonia Capellero, Gloria Mittica, Eleonora Ghisoni, Fulvio Borella, Dionyssios Katsaros, Silvana Privitera, Marisa Ribotta, Elena Maldi, Giovanna Di Nardo, Enrico Berrino, Tiziana Venesio, Riccardo Ponzone, Marco Vaira, Douglas Hall, Mercedes Jimenez-Linan, Anna Paterson, Giorgio Valabrega, Raffaele Calogero, James Brenton, Mariaflavia Di Renzo, Martina Olivero. Assays of conventional chemotherapeutics and targeted drugs for ovarian cancer using patient derived models [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1677.

The "scar" of a pandemic: Cumulative incidence of COVID-19 during the first trimester of pregnancy

Congenitally‐ or perinatally‐acquired viral infections can be harmful to the fetus but data are limited about prevalence and outcomes of coronavirus disease 2019 (COVID‐19) disease during the first trimester of pregnancy. We report epidemiologic data from a study investigating a cohort of women who became pregnant just before or during the COVID‐19 pandemic. We recruited 138 consecutive pregnant women attending for first trimester screening (11‐13 weeks of gestation) at Sant'Anna Hospital, Turin, Piedmont, Italy, during the plateau and the falling phase of the COVID‐19 epidemic curve. Patients were tested for severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) immunoglobulin M/immunoglobulin G antibody levels and SARS‐CoV‐2 detection in sera and nasopharyngeal swab samples. COVID‐19 cumulative incidence during the first trimester was of 10.1% with high prevalence of asymptomatic patients (42.8%). Similar to the course of the disease in non pregnant adults, 80% to 90% of infections were not severe.The prevalence of reported symptoms was four‐fold higher in SARS‐CoV‐2 positive patients (57%) than in those negative (13%) (P < .001), suggesting that direct self‐testing should open doors to confirmatory testing for COVID‐19. Our findings support the need for COVID‐19 screening in early pregnancy in epidemic areas to plan materno‐fetal health surveillance programs.

1‐ In a COVID‐19 endemic area, we found a cumulative incidence during the first trimester of pregnancy of 10.1%

2‐ Among positive patients, 42.8% were asymptomatic

3‐ In the COVID‐19 endemic area, a screening test for SARS‐CoV‐2 should be offered to all pregnant women in the first trimester.

Hypersensitivity to platinum salts according to BRCA status in ovarian cancer: Retrospective analysis of clinical outcomes

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Background: Hypersensitivity reactions (HSRs) to platinum salts are an important issue in the treatment of ovarian cancer (OC) patients (pts). Few data suggest that, along with number of previous cycles, germline BRCA mutations could be a risk factor. We aimed at evaluating the incidence and severity of HSRs to platinum salts in a large group of OC pts with known BRCA status and correlated them with drug exposure time. Methods: Between March 2003 and September 2019, 432 pts with a diagnosis of OC and a known BRCA status, were recorded in our 5 Institutions and retrospectively analyzed. The following data were collected: histology, BRCA status, type of surgery and first line therapy, number of total lines and cycles received, line and cycle of HSR onset, symptoms, history of other allergies and if desensitization was attempted. We graded the severity of HSRs according to CTCAE v5.0. We calculated the total duration of exposure to platinum salts, summing up the duration of all platinum lines received by the pts. Results: Four hundred nine of 432 (94.7%) pts were treated with at least one platinum-based line of therapy and were eligible for the analysis. Among them, 314 pts were BRCA wild type (BRCAwt) (76.8%) and 95 were BRCA mutated (BRCAmut) (23.2%). There was no statistical difference in number of prior lines of therapy [median 1 (2-6) for BRCA wt and 2 (1-6) for BRCAmut pts (p = 0.194)] and duration of exposure to platinum [median 126 (42 – 893) and 197 (42 – 896) days for BRCAwt and BRCAmut pts, respectively (p = 0.145)]. Incidence of any grade HSRs was 29 / 314 (9.2%) among BRCAwt pts vs. 17/ 95 (17.9%) among BRCAmut pts (Odds ratio [OR] 0.47, 95% CI 0.24 – 0.89, p= 0.019). All recorded HSRs to platinum salts were related to carboplatin. We observed a numerically higher incidence of Grade 3-4 HSRs in BRCAmut pts (5.1% in BRCAwt vs. 10.5% in BRCAmut cohort, OR 0.46, 95% CI 0.20 – 1.04, p = 0.057). The risk to develop HSRs increases with duration of exposure to platinum, particularly in BRCAmut pts. The cumulative incidence of any grade HSRs was 20.6% vs. 23.3% after 12 months and 38.4% vs. 59.7% after 18 months in BRCAwt and BRCAmut pts, respectively (Hazard Ratio [HR] 1.72, 95% CI 0.94 – 3.12, p = 0.073). The cumulative incidence of severe HSRs was 10.9% vs. 15.7% after 12 months and 26.5% vs. 41.0% after 18 months in BRCAwt and BRCAmut pts, respectively (HR 1.88, 95% CI 0.85 – 4.16, p = 0.11). Conclusions: In BRCAmut OC pts, there is a significantly higher incidence of HSRs to carboplatin, that seems not justified by longer drug exposure only.

Validation of Androgen Receptor loss as a risk factor for the development of brain metastases from ovarian cancers

Background

Central nervous system (CNS) spreading from epithelial ovarian carcinoma (EOC) is an uncommon but increasing phenomenon. We previously reported in a small series of 11 patients a correlation between Androgen Receptor (AR) loss and localization to CNS. Aims of this study were: to confirm a predictive role of AR loss in an independent validation cohort; to evaluate if AR status impacts on EOC survival.

Results

We collected an additional 29 cases and 19 controls as validation cohort. In this independent cohort at univariate analysis, cases exhibited lower expression of AR, considered both as continuous (p <  0.001) and as discrete variable (10% cut-off: p <  0.003; Immunoreactive score: p <  0.001). AR negative EOC showed an odds ratio (OR) = 8.33 for CNS dissemination compared with AR positive EOC. Kaplan-Meier curves of the combined dataset, combining data of new validation cohort with the previously published cohort, showed that AR <  10% significantly correlates with worse outcomes (p = 0.005 for Progression Free Survival (PFS) and p = 0.002 for brain PFS (bPFS) respectively).

Comparison of AR expression between primary tissue and paired brain metastases in the combined dataset did not show any statistically significant difference.

Conclusions

We confirmed AR loss as predictive role for CNS involvement from EOC in an independent cohort of cases and controls. Early assessment of AR status could improve clinical management and patients’ prognosis.

Axillary Dissection vs. no Axillary Dissection in Breast Cancer Patients With Positive Sentinel Lymph Node: A Single Institution Experience

BACKGROUND/AIM

Axillary surgery of breast cancer patients is undergoing a paradigm shift, as axillary lymph node dissection's (ALND) usefulness is being questioned in the treatment of patients with tumor-positive sentinel lymph node biopsy (SLNB). The aim of this study was to investigate the overall survival (OS) and relapse-free survival (RFS) of patients with positive SLNB treated with ALND or not.

PATIENTS AND METHODS

We investigated 617 consecutive patients with cN0 operable breast cancer with positive SLNB undergoing mastectomy or conservative surgery. A total of 406 patients underwent ALND and 211 were managed expectantly.

RESULTS

No significant difference in OS and RFS was found between the two groups. The incidence of loco-regional recurrence in the SLNB-only group and the ALND group was low and not significant.

CONCLUSION

The type of breast cancer surgery and the omission of ALND does not improve OS or RSF rate in cases with metastatic SLN.

PIK3R1W624R Is an Actionable Mutation in High Grade Serous Ovarian Carcinoma

Identifying cancer drivers and actionable mutations is critical for precision oncology. In epithelial ovarian cancer (EOC) the majority of mutations lack biological or clinical validation. We fully characterized 43 lines of Patient-Derived Xenografts (PDXs) and performed copy number analysis and whole exome sequencing of 12 lines derived from naïve, high grade EOCs. Pyrosequencing allowed quantifying mutations in the source tumours. Drug response was assayed on PDX Derived Tumour Cells (PDTCs) and in vivo on PDXs. We identified a PIK3R1W624R variant in PDXs from a high grade serous EOC. Allele frequencies of PIK3R1W624R in all the passaged PDXs and in samples of the source tumour suggested that it was truncal and thus possibly a driver mutation. After inconclusive results in silico analyses, PDTCs and PDXs allowed the showing actionability of PIK3R1W624R and addiction of PIK3R1W624R carrying cells to inhibitors of the PI3K/AKT/mTOR pathway. It is noteworthy that PIK3R1 encodes the p85α regulatory subunit of PI3K, that is very rarely mutated in EOC. The PIK3R1W624R mutation is located in the cSH2 domain of the p85α that has never been involved in oncogenesis. These data show that patient-derived models are irreplaceable in their role of unveiling unpredicted driver and actionable variants in advanced ovarian cancer.

Transcriptional Characterization of Stage I Epithelial Ovarian Cancer: A Multicentric Study

Stage I epithelial ovarian cancer (EOC) represents about 10% of all EOCs. It is characterized by a complex histopathological and molecular heterogeneity, and it is composed of five main histological subtypes (mucinous, endometrioid, clear cell and high, and low grade serous), which have peculiar genetic, molecular, and clinical characteristics. As it occurs less frequently than advanced-stage EOC, its molecular features have not been thoroughly investigated. In this study, using in silico approaches and gene expression data, on a multicentric cohort composed of 208 snap-frozen tumor biopsies, we explored the subtype-specific molecular alterations that regulate tumor aggressiveness in stage I EOC. We found that single genes rather than pathways are responsible for histotype specificities and that a cAMP-PKA-CREB1 signaling axis seems to play a central role in histotype differentiation. Moreover, our results indicate that immune response seems to be, at least in part, involved in histotype differences, as a higher immune-reactive behavior of serous and mucinous samples was observed with respect to other histotypes.

Abstract GMM-023: PATIENT DERIVED XENOGRAFTS (PDXS) AND PDX DERIVED TUMOR CELLS (PDTC) ALLOW THE IDENTIFICATION OF ACTIONABLE CANCER GENES AND TREATMENT OPTIONS FOR PLATINUM REFRACTORY/RESISTANT OVARIAN CARCINOMAS

Patients with advanced ovarian cancers have experienced little improvement in overall survival with standard treatments even after the incorporation of anti-angiogenic therapies. Besides anti-PARP inhibitors, matching individual critical genomic alterations with the best available drugs has not advanced as in other cancers, likely because a handful of cancer-related genes are mutated at high frequency, while many more are found mutated at much lower frequencies. This so called “mutation tail” is not only long but also mostly unexplored.

We used Patient Derived Xenografts (PDXs) to identify actionable cancer genes and PDX Derived Tumor Cells (PDTCs) to accelerate the discovery of treatment options. We envisioned that the alleged weakness of PDX models, i.e. lack of human stromal and immune cells, might be instrumental to identify mutations in cancer and to test approved or experimental targeted drugs as monotherapy or in different combinations to link biomarkers to treatments.

Forty-nine PDX lines from metastatic epithelial ovarian carcinomas have been propagated and fully characterized as far as histology, immunohistochemistry of epithelial and high-grade serous-specific markers and presence of TP53 and BRCA1/2 mutations.

Copy number variations (CNV) analysis and Whole Exome Sequencing (WES) were carried out PDX lines derived from naïve metastatic high-grade epithelial ovarian carcinomas, which came out to be refractory/resistant to platinum drugs. We studied non-synonymous mutations with allele frequencies ≥0.1. Only mutations in cancer genes listed in databases were further analyzed. SNPdb allowed ruling out polymorphisms. SIFT and PROVEAN softwares predicted deleterious or damaging effects onto the protein sequences. DGIdb helped selecting actionable genes.

We identified in one PDX line, a possibly loss-of-function mutation of the PIK3R1 gene (encoding the p85alpha regulatory subunit of PI3K) had an allele frequency=0.9 in early and late passages. Moreover, in two micro-dissected FFPE samples of the source tumor this mutation had an allele frequency nearly identical to that of the mutated TP53. Hence, PIK3R1W624R could be a trunk mutation in the PDX line and possibly in the human counterpart.

Treatment options were assayed ex-vivo, on short-term cultures of PDTCs of the PIK3R1W624R PDX line. Buparlisib, a pan-class I PI3K inhibitor, showed the ability to block proliferation of PDTCs and the growth in vivo of PDXs in regression preclinical trial. These data proofed-the-concept that a PDX-based pipeline is able to unveil actionable pathways for the treatment of advanced/metastatic ovarian cancer.

Citation Format: Martina Olivero, Jessica Erriquez, Maddalena Arigoni, Sonia Capellero, Concetta D'Ambrosio, Gloria Mittica, Fulvio Borella, Dionyssios Katsaros, Silvana Privitera, Enrico Berrino, Tiziana Venesio, Giorgio Valabrega, Raffaele Calogero and Maria Flavia Di Renzo. PATIENT DERIVED XENOGRAFTS (PDXS) AND PDX DERIVED TUMOR CELLS (PDTC) ALLOW THE IDENTIFICATION OF ACTIONABLE CANCER GENES AND TREATMENT OPTIONS FOR PLATINUM REFRACTORY/RESISTANT OVARIAN CARCINOMAS [abstract]. In: Proceedings of the 12th Biennial Ovarian Cancer Research Symposium; Sep 13-15, 2018; Seattle, WA. Philadelphia (PA): AACR; Clin Cancer Res 2019;25(22 Suppl):Abstract nr GMM-023.

Adjuvant chemoradiotherapy versus radiotherapy alone in women with high-risk endometrial cancer (PORTEC-3): patterns of recurrence and post-hoc survival analysis of a randomised phase 3 trial

BACKGROUND

The PORTEC-3 trial investigated the benefit of combined adjuvant chemotherapy and radiotherapy versus pelvic radiotherapy alone for women with high-risk endometrial cancer. We updated the analysis to investigate patterns of recurrence and did a post-hoc survival analysis.

METHODS

In the multicentre randomised phase 3 PORTEC-3 trial, women with high-risk endometrial cancer were eligible if they had International Federation of Gynaecology and Obstetrics (FIGO) 2009 stage I, endometrioid grade 3 cancer with deep myometrial invasion or lymphovascular space invasion, or both; stage II or III disease; or stage I-III disease with serous or clear cell histology; were aged 18 years and older; and had a WHO performance status of 0-2. Participants were randomly assigned (1:1) to receive radiotherapy alone (48·6 Gy in 1·8 Gy fractions given on 5 days per week) or chemoradiotherapy (two cycles of cisplatin 50 mg/m² given intravenously during radiotherapy, followed by four cycles of carboplatin AUC5 and paclitaxel 175 mg/m² given intravenously), by use of a biased coin minimisation procedure with stratification for participating centre, lymphadenectomy, stage, and histological type. The co-primary endpoints were overall survival and failure-free survival. Secondary endpoints of vaginal, pelvic, and distant recurrence were analysed according to the first site of recurrence. Survival endpoints were analysed by intention-to-treat, and adjusted for stratification factors. Competing risk methods were used for failure-free survival and recurrence. We did a post-hoc analysis to analyse patterns of recurrence with 1 additional year of follow-up. The study was closed on Dec 20, 2013; follow-up is ongoing. This study is registered with ISRCTN, number ISRCTN14387080, and ClinicalTrials.gov, number NCT00411138.

FINDINGS

Between Nov 23, 2006, and Dec 20, 2013, 686 women were enrolled, of whom 660 were eligible and evaluable (330 in the chemoradiotherapy group, and 330 in the radiotherapy-alone group). At a median follow-up of 72·6 months (IQR 59·9-85·6), 5-year overall survival was 81·4% (95% CI 77·2-85·8) with chemoradiotherapy versus 76·1% (71·6-80·9) with radiotherapy alone (adjusted hazard ratio [HR] 0·70 [95% CI 0·51-0·97], p=0·034), and 5-year failure-free survival was 76·5% (95% CI 71·5-80·7) versus 69·1% (63·8-73·8; HR 0·70 [0·52-0·94], p=0·016). Distant metastases were the first site of recurrence in most patients with a relapse, occurring in 78 of 330 women (5-year probability 21·4%; 95% CI 17·3-26·3) in the chemoradiotherapy group versus 98 of 330 (5-year probability 29·1%; 24·4-34·3) in the radiotherapy-alone group (HR 0·74 [95% CI 0·55-0·99]; p=0·047). Isolated vaginal recurrence was the first site of recurrence in one patient (0·3%; 95% CI 0·0-2·1) in both groups (HR 0·99 [95% CI 0·06-15·90]; p=0·99), and isolated pelvic recurrence was the first site of recurrence in three women (0·9% [95% CI 0·3-2·8]) in the chemoradiotherapy group versus four (0·9% [95% CI 0·3-2·8]) in the radiotherapy-alone group (HR 0·75 [95% CI 0·17-3·33]; p=0·71). At 5 years, only one grade 4 adverse event (ileus or obstruction) was reported (in the chemoradiotherapy group). At 5 years, reported grade 3 adverse events did not differ significantly between the two groups, occurring in 16 (8%) of 201 women in the chemoradiotherapy group versus ten (5%) of 187 in the radiotherapy-alone group (p=0·24). The most common grade 3 adverse event was hypertension (in four [2%] women in both groups). At 5 years, grade 2 or worse adverse events were reported in 76 (38%) of 201 women in the chemoradiotherapy group versus 43 (23%) of 187 in the radiotherapy-alone group (p=0·002). Sensory neuropathy persisted more often after chemoradiotherapy than after radiotherapy alone, with 5-year rates of grade 2 or worse neuropathy of 6% (13 of 201 women) versus 0% (0 of 187). No treatment-related deaths were reported.

INTERPRETATION

This updated analysis shows significantly improved overall survival and failure-free survival with chemoradiotherapy versus radiotherapy alone. This treatment schedule should be discussed and recommended, especially for women with stage III or serous cancers, or both, as part of shared decision making between doctors and patients. Follow-up is ongoing to evaluate long-term survival.

FUNDING

Dutch Cancer Society, Cancer Research UK, National Health and Medical Research Council, Project Grant, Cancer Australia Grant, Italian Medicines Agency, and the Canadian Cancer Society Research Institute.

Clinico-pathological features of gynecological myopericytoma: a challenging diagnosis in an exceptional location

Myopericytomas (MPC) are rare mesenchymal tumors, originating from the perivascular myoid cells. They predominantly occur in the skin and superficial soft tissues of the extremities, while visceral involvement is rare. Histological features and clinical course are usually benign. To the best of our knowledge, MPC is still an uncharacterized tumor entity of the female internal genital tract. We describe three MPC cases involving the female internal genital tract: (1) a uterine wall MPC arising in a 49-year-old woman with progressive pelvic/abdominal pain; (2) a cervix MPC of a 49-year-old woman who presented with metrorrhagia, and (3) a MPC presenting as a simple ovarian cyst in a 26-year-old woman with pain located in the left iliac fossa. All patients were surgically treated, and recurrence occurred in two cases. The histological and immunohistochemical findings, supporting the diagnosis of MPC, are presented; in particular, one case showed characteristics pointing towards an uncertain biological behavior/low-grade malignancy. A literature search was conducted to identify previous reports of gynecological MPC and for possible alternative diagnoses. Leiomyoma, epithelioid leiomyoma, angioleiomyoma, perivascular epithelioid cell tumor, solitary fibrous tumor, and low-grade endometrial stromal sarcoma should be considered in the differential diagnosis. Awareness of possible occurrence of this rare neoplasm in the female genital tract is important to reach a correct diagnosis in the spectrum of mesenchymal tumors. Considering the risk of recurrence, we recommend careful evaluation of surgical margins and complete surgical removal whenever possible.

Abstract 3545: High expression of miR-30a is associated with favorable breast cancer survival

Introduction: MicroRNAs (miRNAs) are single-stranded, small non-coding RNAs, consisting of about 20 nucleotides and studies have shown that miRNAs may play important roles in the development and progression of cancer. Members of the miR-30 family, including miR-30a, are reported to play different roles as oncogenes or tumor suppressor genes depending on the type of cancer in several studies. We studied miR-30a expression in breast cancer in relation to disease features and patient survival.

Methods: We measured miR-30a expression in tumor samples of 509 breast cancer patients by quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR). Using the study-specific tertile distribution as cut-off, miR-30a expression data were grouped into low, medium, and high three categories. Hazards ratios (HRs) and 95% confidence intervals (CIs) were calculated to assess the association between miR-30a expression and breast cancer survival using the Cox proportional hazards regression model, and the analysis was adjusted for age at surgery, tumor grade, disease stage, and hormone receptor status. Overall survival (OS) was defined as the time interval from the date of surgery to the date of death or last follow-up. Disease-free survival (DFS) was the time interval from surgery to recurrence or last follow-up. We also retrieved breast cancer provisional data in The Cancer Genome Atlas (TCGA) using the web-based tool cBioPortal (http://www.cbioportal.org/index.do) and analyzed the association between miR-30a and breast cancer survival.

Results: Patients with estrogen receptor (ER)-positive tumors had higher expression of miR-30a compared to those with ER-negative tumors (p = 0.0080). Patients with progesterone receptor (PR)-positive tumors also had higher miR-30a expression than those with PR-negative tumors (p = 0.0038). Survival analysis showed that patients with high expression of miR-30a had 58% reduction in risk of relapse (HR = 0.42, 95% CI = 0.21-0.83, p = 0.013) compared to those with low expression. This association remained significant (HR = 0.43, 95% CI = 0.21-0.89, p = 0.023) after adjustment for age at surgery, disease stage, tumor grade, and hormone receptor status. A significant association between miR-30a and overall survival was also observed in the TCGA data (HR = 0.60, 95% CI = 0.41-0.88, p = 0.0088).

Conclusions: Our results suggest that high expression of miR-30a may reduce the risk of breast cancer relapse and miR-30a may act as a tumor suppressor in breast cancer.

Citation Format: Yuki Obata, Dionyssios Katsaros, Nicoletta Biglia, Yi Shen, Yuanyuan Fu, Zhanwei Wang, Herbert Yu. High expression of miR-30a is associated with favorable breast cancer survival [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3545.

Low expression of WWC1, a tumor suppressor gene, is associated with aggressive breast cancer and poor survival outcome

The WW and C2 domain containing 1 (WWC1) gene encodes a protein named WWC1 (or KIBRA), which is involved in the Hippo signaling pathway. WWC1 is often lost in triple-negative breast cancer and has been shown to suppress tumor metastasis. In this study, 470 breast cancer patients were recruited and WWC1 expression in the tumor samples was measured with quantitative reverse transcriptase PCR. Associations of WWC1 expression with breast cancer survival were analyzed using the Cox proportional hazards regression model and Kaplan-Meier survival analysis. The relationship between WWC1 expression and methylation was evaluated in a dataset from The Cancer Genome Atlas. Using our microarray data on gene expression and the Ingenuity Pathway Analysis, we predicted the WWC1-associated signaling pathways in breast cancer. Our results showed that low expression of WWC1 was significantly associated with advanced-stage diseases, high-grade tumors, and estrogen receptor- or progesterone receptor-negative status. Compared to those with high expression, patients with low WWC1 had higher risk of breast cancer relapse [hazard ratio (HR) = 2.06, 95% confidence interval (CI): 1.26-3.37] and higher risk of death (HR = 2.76, 95% CI: 1.51-5.03). The association with relapse-free survival remained significant after adjustment for disease stage, tumor grade, and hormone receptor status and was replicated in a public dataset. Analysis of high-throughput gene expression data indicated that WWC1 was involved in the Hippo signaling pathway. Online data also suggested that DNA methylation was inversely associated with WWC1 expression. The study confirmed that low WWC1 expression was associated with aggressive breast cancer and poor survival outcomes.

Results from neoadjuvant chemotherapy followed by surgery compared to chemoradiation for stage Ib2-IIb cervical cancer, EORTC 55994

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Background: Conflicting evidence on the value of neoadjuvant chemotherapy followed by surgery compared to concomitant chemoradiation in Stage IB2-IIB cervical carcinoma led to this multinational multicenter trial. As the trial is approaching completion of its follow-up, preliminary results are presented. Methods: Between May 2002 and June 2014 a total of 620 patients with FIGO stage Ib2-IIb were randomized between neoadjuvant chemotherapy followed by surgery (NACTS, arm 1, N=311) with standard concomitant chemoradiotherapy (CCRT, arm 2, N=309) . In arm 1, radical hysterectomy was required within 6 weeks after completion of cisplatin-based chemotherapy with a cumulative minimum of 225mg/m2, in arm 2, radiation consisted of 45-50 Gy plus boost concurrent with weekly cisplatin chemotherapy (40 mg/m2 per week). Primary endpoint was 5-yrs overall survival (OS). Results: Median follow-up time was 8.2 years ( 95% CI = 7.8 yrs – 8.6 yrs)) and similar between both arms. A total of 191 deaths (31%) occurred. Age, stage and histological cell type were balanced in both arms. Protocol treatment was completed in 459 (74%) patients (71% for NACTS; 82% for CCRT). In arm 1 238 (76%) patients underwent surgery. Main reasons for not having surgery as per protocol, were toxicity (25/74, 34%), progressive disease (18/74, 24%) and insufficient response to NACT (12/74, 16%). Additional radiotherapy was given to 113 patients (36.3%) in arm 1; additional surgery performed in 9 patients (2.9%) in arm 2. Short term severe adverse events (≥G3) occurred more frequently in arm 1 than in arm 2 (35% vs 21%, p < 0.001). The 5 year OS was 72% in arm 1 and 76% in arm 2 (not statistically significant, difference = 4.0% (95%CI: -4% - 12%); HR 0.87, 95%CI: 0.65-0.15, p=0.332). Conclusions: These preliminary results revealed no difference in 5-year OS between NACTS and CCRT, indicating that quality of life and long term toxicity are important to decide optimal treatment. The final results will be available by April 2019, including long-term toxicity and treatment effect across prognostic factors. Clinical trial information: NCT00039338.

Clinical consequences of upfront pathology review in the randomised PORTEC-3 trial for high-risk endometrial cancer

Background

In the PORTEC-3 trial, women with high-risk endometrial cancer (HR-EC) were randomised to receive pelvic radiotherapy (RT) with or without concurrent and adjuvant chemotherapy (two cycles of cisplatin 50 mg/m² in weeks 1 and 4 of RT, followed by four cycles of carboplatin AUC5 and paclitaxel 175 mg/m²). Pathology review was required before patient enrolment. The aim of this analysis was to evaluate the role of central pathology review before randomisation.

Patients and methods

A total of 1295 cases underwent pathology review to confirm HR-EC in the Netherlands (n = 395) and the UK (n = 900), and for 1226/1295 (95%) matching review and original reports were available. In total, 329 of these patients were enrolled in the PORTEC-3 trial: 145 in the Netherlands and 184 in the UK, comprising 48% of the total PORTEC-3 cohort of 686 participants. Areas of discrepancies were evaluated, and inter-observer agreement between original and review opinion was evaluated by calculating the kappa value (κ).

Results

In the 1226 pathology reviews, 6356 selected items were evaluable for both original and review pathology. In 43% of cases at least one pathology item changed after review. For 102 patients (8%), this discrepancy led to ineligibility for the PORTEC-3 trial, most frequently due to differences in the assessment of histological type (34%), endocervical stromal involvement (27%) and histological grade (19%). Lowest inter-observer agreement was found for histological type (κ = 0.72), lymph-vascular space invasion (κ = 0.72) and histological grade (κ = 0.70).

Conclusion

Central pathology review by expert gynaeco-pathologists changed histological type, grade or other items in 43% of women with HR-EC, leading to ineligibility for the PORTEC-3 trial in 8%. Upfront pathology review is essential to ensure enrolment of the target trial-population, and to avoid over- or undertreatment, especially when treatment modalities with substantial toxicity are involved.

This study is registered with ISRCTN (ISRCTN14387080, www.controlled-trials.com) and with ClinicalTrials.gov (NCT00411138).

ERα upregulates the expression of long non-coding RNA LINC00472 which suppresses the phosphorylation of NF-κB in breast cancer

PURPOSE

Low expression of long intergenic non-coding RNA LINC00472 in breast cancer is associated with aggressive tumors and unfavorable disease outcomes in multiple clinical datasets, but the reasons for these associations were unknown.

METHODS

To study the mechanisms underlying the lncRNA's connection to breast cancer, we investigated the molecular targets and regulation of LINC00472 in breast cancer cells, and analyzed relevant molecular features in relation to patient survival. Gene expression profiles of breast cancer cells overexpressing LINC00472 were analyzed for its regulatory pathways and downstream targets. Effects of LINC00472 overexpression on cell behaviors were evaluated in vitro and in vivo. Meta-analysis was performed using online datasets and our own study.

RESULTS

Analysis of LINC00472 transcriptome revealed ERα upregulation of LINC00472 expression, and an ERα-binding site in the LINC00472 promoter was identified. Evaluation of LINC00472 overexpression also indicated a possible link between LINC00472 and NF-κB. Cell experiments confirmed that LINC00472 suppressed the phosphorylation of p65 and IκBα through binding to IKKβ, inhibiting its phosphorylation. High LINC00472 expression inhibited tumor growth both in vitro and in vivo and suppressed aggressive tumor cell behaviors in vitro. Suppressing LINC00472 expression in ER-positive tumor cells increased cell aggressive behaviors. Tamoxifen treatment of ER-positive cells inhibited ERα and LINC00472 expression and increased p65 and IκBα phosphorylation. Meta-analysis showed that LINC00472 expression were higher in ER-positive than ER-negative tumors and that high expression was associated with better disease outcomes in ER-positive patients.

CONCLUSIONS

The study demonstrates that ERα upregulates LINC00472 which suppresses the phosphorylation of NF-κB, and suggests that endocrine treatment may lower LINC00472 and increase NF-κB activities, leading to tumor progression and disease recurrence.

Abstract 3102: Identification of actionable cancer genes and treatment options for metastatic ovarian carcinomas using patient-derived xenografts and PDX-derived tumor cells

Patients with advanced ovarian cancers have experienced little improvement in overall survival with standard treatments even after the incorporation of anti-angiogenic therapies. Besides anti-PARP inhibitors, matching individual critical genomic alterations with the best available drugs has not advanced as in other cancers, likely because a handful of cancer-related genes are mutated at high frequency, while many more are found mutated at much lower frequencies. This so called “mutation tail” is not only long but also mostly unexplored.

We used Patient Derived Xenografts (PDXs) to identify actionable cancer genes and PDX Derived Tumor Cells (PDTCs) to accelerate the discovery of treatment options. We envisioned that the alleged weakness of PDX models, i.e. lack of human stromal and immune cells, might be instrumental to identify mutations in cancer and to test approved or experimental targeted drugs as monotherapy or in different combinations to link biomarkers to treatments.

Fourty-nine PDX lines from metastatic epithelial ovarian carcinomas have been propagated and fully characterized as far as histology, immunohistochemistry of epithelial and high-grade serous-specific markers and presence of TP53 and BRCA1/2 mutations.

Copy number variations (CNV) analysis and Whole Exome Sequencing (WES) were carried out of 12 PDX lines derived from naïve metastatic high-grade serous epithelial ovarian carcinomas. We studied non-synonymous mutations with allele frequencies ≥0.1. Only mutations in cancer genes listed in databases were further analyzed. SNPdb allowed ruling out polymorphisms. SIFT and PROVEAN softwares predicted deleterious or damaging effects onto the protein sequences. DGIdb helped selecting actionable genes.

We identified mutations in 1-4 cancer genes in 8/12 PDX lines. In one PDX line, a possibly loss-of-function mutation of the PIK3R1 gene (encoding the p85alpha regulatory subunit of PI3K) had an allele frequency=0.9 in early and late passages. Moreover, in two micro-dissected FFPE samples of the source tumor this mutation had an allele frequency nearly identical to that of the mutated TP53. Hence, PIK3R1W624R could be a trunk mutation in the PDX line and possibly in the human counterpart.

Treatment options were assayed ex-vivo, on short-term cultures of PDTCs of the PIK3R1W624R PDX line. Buparlisib, a pan-class I PI3K inhibitor, showed the ability to block proliferation of PDTCs and the growth in vivo of PDXs in regression preclinical trial. These data proofed-the-concept that a PDX-based pipeline is able to unveil actionable pathways for the treatment of advanced/metastatic ovarian cancer.

Citation Format: Martina Olivero, Jessica Erriquez, Maddalena Arigoni, Sonia Capellero, Concetta D'Ambrosio, Gloria Mittica, Fulvio Borella, Dionyssios Katsaros, Silvana Privitera, Enrico Berrino, Tiziana Venesio, Giorgio Valabrega, Raffaele Calogero, Maria Flavia Di Renzo. Identification of actionable cancer genes and treatment options for metastatic ovarian carcinomas using patient-derived xenografts and PDX-derived tumor cells [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3102.

A predictive score for optimal cytoreduction at interval debulking surgery in epithelial ovarian cancer: a two- centers experience

Background

Optimal cytoreduction (macroscopic Residual Tumor, RT = 0) is the best survival predictor factor in epithelial ovarian cancer (EOC). It doesn’t exist a consolidated criteria to predict optimal surgical resection at interval debulking surgery (IDS). The aim of this study is to develop a predictive model of complete cytoreduction at IDS.

Methods

We, retrospectively, analyzed 93 out of 432 patients, with advanced EOC, underwent neoadjuvant chemotherapy (NACT) and IDS from January 2010 to December 2016 in two referral cancer centers. The correlation between clinical-pathological variables and residual disease at IDS has been investigated with univariate and multivariate analysis. A predictive score of cytoreduction (PSC) has been created by combining all significant variables. The performance of each single variable and PSC has been reported and the correlation of all significant variables with progression free survival (PFS) has been assessed.

Results

At IDS, 65 patients (69,8%) had complete cytoreduction with no residual disease (R = 0). Three criteria independently predicted R > 0: age ≥ 60 years (p = 0.014), CA-125 before NACT > 550 UI/dl (p = 0.044), and Peritoneal Cancer Index (PCI) > 16 (p < 0.001). A PSC ≥ 3 has been associated with a better accuracy (85,8%), limiting the number of incomplete surgeries to 16,5%. Moreover, a PCI > 16, a PSC ≥ 3 and the presence of R > 0 after IDS were all significantly associated with shorter PFS (p < 0.001, p < 0.001 and p = 0.004 respectively).

Conclusions

Our PSC predicts, in a large number of patients, complete cytoreduction at IDS, limiting the rate of futile extensive surgeries in case of presence of residual tumor (R > 0). The PSC should be prospectively validated in a larger series of EOC patients undergoing NACT-IDS.

High expression of long non-coding RNA MALAT1 in breast cancer is associated with poor relapse-free survival

PURPOSE

Metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) has been identified as a prognostic marker for the metastasis of early-stage non-small cell lung cancer (NSCLCs). We studied MALAT1 expression in breast cancer in relation to disease features and patient survival.

METHODS

Quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) was used to measure MALAT1 expression in tumor samples of 509 breast cancer patients. Hazards ratios (HRs) and 95% confidence intervals (CIs) were calculated to assess the association between MALAT1 expression and breast cancer survival using the Cox proportional hazards regression model, and the analysis was adjusted for age at surgery, tumor grade, disease stage, and hormone receptor status. Meta-analysis of multiple microarray datasets from online databases and our own study was performed to evaluate the association of MALAT1 with breast cancer survival.

RESULTS

Patients with low-grade or ER-positive tumors had higher expression of MALAT1 compared to those with high-grade (p = 0.013) or ER-negative (p = 0.0002) tumors. Patients with PR-positive tumors also had higher MALAT1 expression than those with PR-negative tumors (p < 0.0001). In patients with positive hormone receptors or low tumor grade, tumors with high MALAT1 expression were more likely to recur. Survival analysis showed that patients with high expression of MALAT1 had a twofold increase in risk of relapse (p = 0.0083) compared to those with low expression. This association remained significant after adjustment for age at surgery, disease stage, tumor grade, and hormone receptor status. Meta-analysis showed that high MALAT1 expression was associated with poor relapse-free survival in patients with hormone receptor-positive tumors (HR 1.44, 95% CI 1.08-1.92).

CONCLUSIONS

High expression of lncRNA MALAT1 is associated with breast cancer relapse and may play a role in tumor progression.

Xenopatients show the need for precision medicine approach to chemotherapy in ovarian cancer

Platinum-based chemotherapy is the recommended first-line treatment for high-grade serous (HGS) epithelial ovarian cancer (EOC). However, most patients relapse because of platinum refractory/resistant disease. We aimed at assessing whether other drugs, commonly used to treat relapsed HGS-EOC and poorly active in this clinical setting, might be more effective against chemotherapy-naïve cancers. We collected couples of HGS-EOC samples from the same patients before and after neo-adjuvant platinum-based chemotherapy. Samples were propagated as Patient Derived Xenografts (PDXs) in immunocompromised mice ("xenopatients"). Xenopatients were treated in parallel with carboplatin, gemcitabine, pegylated liposomal doxorubicin (PLD) and trabectedin. PDXs derived from a naïve HSG-EOC showed responsiveness to carboplatin, trabectedin and gemcitabine. The PDXs propagated from a tumor mass of the same patient, grown after carboplatin therapy, did no longer respond to trabectedin and gemcitabine and showed heterogeneous response to carboplatin. In line, the patient experienced clinically platinum-sensitivity first and then discordant responses of different tumor sites to platinum re-challenge. Loss of PDX responsiveness to drugs was associated with 4-fold increase of NR2F2 gene expression. PDXs from another naïve tumor showed complete response to PLD, which was lost in the PDXs derived from a mass grown in the same patient after platinum-based chemotherapy. This patient showed platinum refractoriness and responded poorly to PLD as second-line treatment. PDX response to PLD was associated with high expression of TOP2A protein. PDXs demonstrated that chemotherapy-naïve HGS-EOC might display susceptibility to agents not used commonly as first line treatment. Data suggest the importance of personalizing also chemotherapy.

Abstract P5-07-03: Withdrawn

This abstract was withdrawn by the authors.

Variation in gynecological oncology follow-up practice: Attributable to cancer centers or to patient characteristics? A Piedmont Regional Oncology Network Study

Aims and background

Although guidelines recommend minimalist follow-up, there is wide variability in gynecological oncology practice. The aims of this study were to describe between-center differences in the follow-up of endometrial, ovarian, and uterine cervical cancer; to identify the determinants of test prescription; to estimate the related costs; and to assess the weight of center habits and patient characteristics as sources of unexplained variability.

Methods and study design

The medical records of patients treated between August 2004 and July 2005 for gynecological malignancies and followed up for the detection of recurrent disease were retrospectively collected from 29 centers of the Piedmont Oncology Network. Multivariate multilevel analyses were performed to study the determinants of test prescription and costs.

Results

Analyses were performed on 351 patients (median follow-up: 578 days). The unexplained variability in computed tomography prescriptions (26%), ultrasound prescriptions (17%), and total cost of follow-up (15%) can be attributed to center habits, independenty of the clinical characteristics of the patients.

Conclusions

Much of the unexplained variability in the follow-up for gynecological malignancies is attributable to different habits of centers belonging to a cancer network. These results prompted us to design a multicenter randomized controlled trial to compare minimalist versus intensive follow-up programs in endometrial cancer.

High PTPN13 expression in high grade serous ovarian carcinoma is associated with a better patient outcome

Background

Chromosome 4q loss of heterozygosity (LOH) is frequently observed in high-grade serous ovarian carcinoma (HGSOC). However, this LOH has not been clearly associated with the inactivation of any tumor suppressor gene(s). As the tumor suppressor gene PTPN13 is located on chromosome 4q21, we investigated its expression in HGSOC.

Methods

PTPN13 protein expression was investigated by immunohistochemistry (IHC) in normal ovary epithelium and in 30 HGSOC samples, whereas PTPN13 mRNA expression was quantified by RT-PCR in another independent cohort of 28 HGSOC samples. Patients in both cohorts were followed for more than 8.5 years.

Results

PTPN13 protein expression was lower in one third of HGSOC samples compared with normal ovary epithelium. In both cohorts, high PTPN13 expression level (mRNA or protein) in the tumor was associated with favorable outcome and significantly longer survival (HR=0.27; p=0.0087 and HR=0.42; p=0.03, respectively).

Conclusion

This study demonstrates, for the first time, that high PTPN13 expression level is a prognostic indicator of favorable outcome in patients with HGSOC. This finding, in conjunction with our previous mechanistic studies, suggests that PTPN13 loss, possibly by 4q LOH, enhances HGSOC aggressiveness and highlight the interest of studying PTPN13 signaling in HGSOC to identify new potential therapeutic targets.

Final results of the international randomized PORTEC-3 trial of adjuvant chemotherapy and radiation therapy (RT) versus RT alone for women with high-risk endometrial cancer

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Background: Women with high-risk endometrial cancer (HREC) are at increased risk of distant metastasis and endometrial cancer-related death. The randomized PORTEC-3 intergroup trial was initiated to investigate the benefit of adjuvant chemotherapy during and after radiotherapy (CTRT) versus pelvic radiotherapy (RT) alone for women with HREC. Methods: Women with HREC (FIGO stage I grade 3 with deep myometrial invasion and/or LVSI; stage II or III; or serous/clear cell histology) were randomly allocated (1:1) to RT (48.6 Gy in 1.8 Gy fractions) or CTRT (two cycles of cisplatin 50 mg/m² in week 1 and 4 of RT, followed by four cycles of carboplatin AUC5 and paclitaxel 175 mg/m² at 3-week intervals) with stratification for participating center, lymphadenectomy, stage, and histological type. The co-primary endpoints were overall survival (OS) and failure-free survival (FFS). The Kaplan-Meier method, log-rank test and Cox regression analysis were used for final analysis according to intention-to-treat. PORTEC-3 is registered with ISRCTN (ISRCTN14387080) and ClinicalTrials.gov (NCT00411138). Results: 686 women were enrolled between 2006 and 2013. 26 women were excluded; 13 withdrew consent early and 13 were ineligible, which left 660 patients in the analysis, with a median follow up time of 60.2 months (IQR 47.1–72.9): 330 CTRT and 330 RT. Three- and five-year OS for CTRT vs. RT was 84.4% versus 83.9%, and 81.8% versus 76.7%; overall HR 0.79 [95% CI 0.57-1.12, p=0.183]. Three-year FFS was 79.7% (CTRT) versus 71.8% (RT), and at 5 years 75.5% versus 68.9%, overall HR for FFS 0.77 [0.58-1.03, p=0.078]. Patients with stage III EC had lower 5-year FFS and OS compared to stage I-II (FFS 63.9% vs 78.9%, p<0.001, and OS 74.3% vs 83.1%, p=0.003). They also had greatest benefit of CTRT: 5-year FFS for stage III was 69.3% for CTRT vs 58.0% for RT [95% CI 0.45-0.97, p=0.032], and 5-year OS for stage III was 78.7 % vs 69.8% (p=0.114). Conclusions: Adjuvant chemotherapy given during and after pelvic radiotherapy for treatment of HREC did not significantly improve 5-year FFS and OS, compared with RT alone. For women with stage III EC FFS was however significantly improved with CTRT by 11% at 5 years. Follow-up will continue to evaluate long-term outcomes. Clinical trial information: NCT00411138.

lncRNAs as Novel Indicators of Patients' Prognosis in Stage I Epithelial Ovarian Cancer: A Retrospective and Multicentric Study

Purpose: Stage I epithelial ovarian cancer (EOC) represents about 10% of all EOCs and is characterized by good prognosis with fewer than 20% of patients relapsing. As it occurs less frequently than advanced-stage EOC, its molecular features have not been thoroughly investigated. We have demonstrated that in stage I EOC miR-200c-3p can predict patients' outcome. In the present study, we analyzed the expression of long non-coding RNAs (lncRNA) to enable potential definition of a non-coding transcriptional signature with prognostic relevance for stage I EOC.Experimental Design: 202 snap-frozen stage I EOC tumor biopsies, 47 of which relapsed, were gathered together from three independent tumor tissue collections and subdivided into a training set (n = 73) and a validation set (n = 129). Median follow up was 9 years. LncRNAs' expression profiles were correlated in univariate and multivariate analysis with overall survival (OS) and progression-free survival (PFS).Results: The expression of lnc-SERTAD2-3, lnc-SOX4-1, lnc-HRCT1-1, and PVT1 was associated in univariate and multivariate analyses with relapse and poor outcome in both training and validation sets (P < 0.001). Using the expression profiles of PVT1, lnc-SERTAD2-3, and miR-200c-3p simultaneously, it was possible to stratify patients into high and low risk. The OS for high- and low-risk individuals are 36 and 123 months, respectively (OR, 15.55; 95% confidence interval, 3.81-63.36).Conclusions: We have identified a non-coding transcriptional signature predictor of survival and biomarker of relapse for stage I EOC. Clin Cancer Res; 23(9); 2356-66. ©2016 AACR.

Long non-coding RNAs, ASAP1-IT1, FAM215A, and LINC00472, in epithelial ovarian cancer

OBJECTIVE

Long non-coding RNAs (lncRNAs) are a class of non-protein coding transcripts that has gained significant attention lately due to their important biological actions and potential involvement in cancer. Ovarian cancer is a devastating disease with poor prognosis, and our understanding of lncRNA's involvement in the malignancy is limited. To further our knowledge, we measured the expression of three lncRNAs, ASAP1-IT1, FAM215A, and LINC00472, in tumor samples, and analyzed their associations with disease characteristics and patient survival.

METHODS

Two hundred sixty-six patients diagnosed with primary epithelial ovarian cancers were recruited for the study. Fresh-frozen tumor samples were obtained from the patients at tumor resection and analyzed by RT-qPCR for expression of ASAP1-IT1, FAM215A, and LINC00472. Associations of lncRNA expression with patient survival were determined using Cox proportional hazards regression models.

RESULTS

We observed high expression of ASAP1-IT1, FAM215A and LINC00472 more frequently in low grade tumors and early stage disease compared to high grade tumors and late stage disease, respectively. High expression of ASAP1-IT1 and FAM215A were associated with favorable overall survival, and the survival association with ASAP1-IT1 was independent of tumor grade and disease stage. Analyses of online data also demonstrated similar survival associations with ASAP1-IT1 and FAM215A, suggesting that these lncRNAs may be involved in ovarian cancer progression.

CONCLUSIONS

LncRNAs may play appreciable roles in ovarian cancer and more research is needed to elucidate their biological mechanisms and clinical implications in tumor characterization as well as disease prognosis and treatment.

Toxicity and quality of life after adjuvant chemoradiotherapy versus radiotherapy alone for women with high-risk endometrial cancer (PORTEC-3): an open-label, multicentre, randomised, phase 3 trial

BACKGROUND

About 15% of patients with endometrial cancer have high-risk features and are at increased risk of distant metastases and endometrial cancer-related death. We designed the PORTEC-3 trial to investigate the benefit of adjuvant chemoradiotherapy compared with radiotherapy alone for women with high-risk endometrial cancer.

METHODS

PORTEC-3 was a multicentre, open-label, randomised, international trial. Women with high-risk endometrial cancer were randomly allocated (1:1) to radiotherapy alone (48·6 Gy) in 1·8 Gy fractions five times a week or chemoradiotherapy (two cycles concurrent cisplatin 50 mg/m(2) and four adjuvant cycles of carboplatin area under the curve [AUC] 5 and paclitaxel 175 mg/m(2)) using a biased coin minimisation procedure with stratification for participating centre, lymphadenectomy, stage of cancer, and histological type. The primary endpoints of the PORTEC-3 trial were overall survival and failure-free survival analysed in the intention-to-treat population. This analysis focuses on 2-year toxicity and health-related quality of life as secondary endpoints; analysis was done according to treatment received. Health-related quality of life was assessed with the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30) the cervix cancer module and chemotherapy and neuropathy subscales of the ovarian cancer module at baseline, after radiotherapy and at 6, 12, 24, 36, and 60 months after randomisation. Adverse events were graded with Common Terminology Criteria for Adverse Events version 3.0. The study was closed on Dec 20, 2013, after achieving complete accrual, and follow-up remains ongoing for the primary outcomes analysis. This trial is registered with ISRCTN.com, number ISRCTN14387080, and with ClinicalTrials.gov, number NCT00411138.

FINDINGS

Between Sept 15, 2006, and Dec 20, 2013, 686 women were randomly allocated in the PORTEC-3 trial. Of these, 660 met eligibility criteria, and 570 (86%) were evaluable for health-related quality of life. Median follow-up was 42·3 months (IQR 25·8-55·1). At completion of radiotherapy and at 6 months, EORTC QLQ-C30 functioning scales were significantly lower (worse functioning) and health-related quality of life symptom scores higher (worse symptoms) for the chemoradiotherapy group compared with radiotherapy alone, improving with time. At 12 and 24 months, global health or quality of life was similar between groups, whereas physical functioning scores remained slightly lower in patients who received chemoradiotherapy compared with patients who received radiotherapy alone. At 24 months, 48 (25%) of 194 patients in the chemoradiotherapy group reported severe tingling or numbness compared with 11 (6%) of 170 patients in the radiotherapy alone group (p<0·0001). Grade 2 or worse adverse events were found during treatment in 309 (94%) of 327 patients in the chemoradiotherapy group versus 145 (44%) of 326 patients in the radiotherapy alone group, and grade 3 or worse events were found in 198 (61%) of 327 patients in the chemoradiotherapy group versus 42 (13%) of 326 patients in the radiotherapy alone group (p<0·0001), with most of the grade 3 adverse events being haematological (45%). At 12 and 24 months, no significant differences in grade 3 or worse adverse events were found between groups; only grade 2 or higher sensory neuropathy adverse events persisted at 24 months (25 [10%] of 240 patients in the chemoradiotherapy group vs one [<1%] of 247 patients in the radiotherapy alone group; p<0·0001).

INTERPRETATION

Despite the increased physician and patient-reported toxicities, this schedule of adjuvant chemotherapy given during and after radiotherapy in patients with high-risk endometrial cancer is feasible, with rapid recovery after treatment, but with persistence of patient-reported sensory neurological symptoms in 25% of patients. We await the analysis of primary endpoints before final conclusions are made.

FUNDING

Dutch Cancer Society, Cancer Research UK, National Health and Medical Research Council, Project Grant, Cancer Australia Grant, Italian Medicines Agency, and Canadian Cancer Society Research Institute.

Abstract LB-042: Xenopatients help in redefining medical therapeutic algorithms in high risk ovarian cancer

Platinum-based chemotherapy is the recommended first-line treatment for high-grade serous (HGS) epithelial ovarian cancer (EOC). However, most patients relapse because of platinum refractory/resistant disease. We aimed at assessing whether other drugs, commonly used to treat relapsed HGS-EOC and poorly active in this clinical setting, might be more effective against chemotherapy-naïve cancers. We collected samples of advanced HGS-EOC from the same patients before and after neo-adjuvant platinum-based chemotherapy. Samples were propagated as Patient Derived Xenografts (PDXs) in immunocompromised mice (“xenopatients”). Xenopatients were treated with carboplatin, gemcitabine, pegylated liposomal doxorubicin (PLD) and trabectedin. One patient was studied who experienced clinically platinum-sensitivity first and then discordant responses of different tumor sites to platinum re-challenge. PDXs derived from this patient before chemotherapy showed responsiveness to carboplatin, trabectedin and gemcitabine. The PDXs from the same patient after chemotherapy did no longer respond to trabectedin and gemcitabine and showed a heterogeneous response to carboplatin. Expression profiling showed that loss of responsiveness to drugs of the post-chemotherapy PDXs was associated with the up-regulation of NR2F2 gene expression. A second patient with platinum refractory HGS-EOC responded poorly to PLD as second-line treatment. PDXs obtained from this patient's tumor before chemotherapy showed a complete response to PLD, which was lost in the post-chemotherapy PDXs. Response to PLD was associated with the over-expression of the TOP2A protein, which was lost in the post-chemotherapy PDXs. Thus, PDXs demonstrated that chemotherapy-naïve HGS-EOC might display susceptibility to agents not used commonly as first line treatment. These data suggest the importance of tailoring chemotherapy.

Citation Format: Jessica Erriquez, Martina Olivero, Gloria Mittica, Maria Stella Scalzo, Marco Vaira, Michele De Simone, Riccardo Ponzone, Dionyssios Katsaros, Massimo Aglietta, Raffaele Calogero, Maria Flavia Di Renzo, Giorgio Valabrega. Xenopatients help in redefining medical therapeutic algorithms in high risk ovarian cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr LB-042.

A prognostic regulatory pathway in stage I epithelial ovarian cancer: new hints for the poor prognosis assessment

BACKGROUND

Clinical and pathological parameters of patients with epithelial ovarian cancer (EOC) do not thoroughly predict patients' outcome. Despite the good outcome of stage I EOC compared with that of stages III and IV, the risk assessment and treatments are almost the same. However, only 20% of stage I EOC cases relapse and die, meaning that only a proportion of patients need intensive treatment and closer follow-up. Thus, the identification of cell mechanisms that could improve outcome prediction and rationalize therapeutic options is an urgent need in the clinical practice.

PATIENTS AND METHODS

We have gathered together 203 patients with stage I EOC diagnosis, from whom snap-frozen tumor biopsies were available at the time of primary surgery before any treatment. Patients, with a median follow-up of 7 years, were stratified into a training set and a validation set.

RESULTS AND CONCLUSIONS

Integrated analysis of miRNA and gene expression profiles allowed to identify a prognostic cell pathway, composed of 16 miRNAs and 10 genes, wiring the cell cycle, 'Activins/Inhibins' and 'Hedgehog' signaling pathways. Once validated by an independent technique, all the elements of the circuit resulted associated with overall survival (OS) and progression-free survival (PFS), in both univariate and multivariate models. For each patient, the circuit expressions have been translated into an activation state index (integrated signature classifier, ISC), used to stratify patients into classes of risk. This prediction reaches the 89.7% of sensitivity and 96.6% of specificity for the detection of PFS events. The prognostic value was then confirmed in the external independent validation set in which the PFS events are predicted with 75% sensitivity and 94.7% specificity. Moreover, the ISC shows higher classification performance than conventional clinical classifiers. Thus, the identified circuit enhances the understanding of the molecular mechanisms lagging behind stage I EOC and the ISC improves our capabilities to assess, at the time of diagnosis, the patient risk of relapse.