Improving olaparib exposure to optimize adverse effects management.

Background: Olaparib is an inhibitor of the human poly-(ADP-ribose)-polymerase enzymes (PARP1/2) needed to repair single-strand DNA breaks. It is used in breast, ovarian, prostate and pancreatic cancer. Objectives: This work aimed to describe the pharmacokinetics/pharmacodynamics (PK/PD) relationship between olaparib plasma concentrations and common adverse effects (i.e. anaemia and hypercreatininaemia), in a real-life setting, to propose a target concentration for therapeutic drug monitoring. Methods: Two PK/PD models describing the evolution of haemoglobinaemia and creatininaemia as a function of time were developed, based on data from, respectively, 38 and 37 patients receiving olaparib. The final model estimates were used to calculate the incidence of anaemia and creatinine increase according to plasma trough concentrations for 1000 virtual subjects to define target exposure. Results: The final models correctly described the temporal evolution of haemoglobinaemia and creatininaemia for all patients. The haemoglobinaemia PK/PD model is inspired by Friberg's model, and the creatininaemia PK/PD model is an indirect response model. Model parameters were in agreement with physiological values and close to literature values for similar models. The mean (population) plasma haemoglobin concentration at treatment initiation, as estimated by the model, was 11.62 g/dL, while creatinine concentration was 71.91 µmol/L. Using simulations, we have identified a target trough concentration of 3500-4000 ng/mL, above which more than 20% of patients would report grade ≥3 anaemia. Conclusion: Based on real-world data, we were able to properly describe the time course of haemoglobinaemia and plasma creatininaemia during olaparib treatment.

Circadian rhythm and circulating cell-free DNA release on healthy subjects.

In the last decade, clinical studies have investigated the clinical relevance of circulating cell-free-DNA (ccfDNA) as a diagnostic and prognosis tool in various diseases including cancers. However, limited knowledge on ccfDNA biology restrains its full development in the clinical practice. To improve our understanding, we evaluated the impact of the circadian rhythm on ccfDNA release in healthy subjects over a 24-h period. 10 healthy female subjects underwent blood sampling at 8am and 20 healthy male subjects underwent serial blood sampling (8:00 AM, 9:00 AM, 12:00 PM, 4:00 PM, 8:00 PM, 12:00 AM, 4 AM (+ 1 Day) and 8 AM (+ 1 Day)). We performed digital droplet-based PCR (ddPCR) assays to target 2 DNA fragments (69 & 243 bp) located in the KRAS gene to determine the ccfDNA concentration and fragmentation profile. As control, half of the samples were re-analyzed by capillary miniaturized electrophoresis (BIAbooster system). Overall, we did not detect any influence of the circadian rhythm on ccfDNA release. Instead, we observed a decrease in the ccfDNA concentration after meal ingestion, suggesting either a post-prandial effect or a technical detection bias due to a higher plasma load in lipids and triglycerides. We also noticed a potential effect of gender, weight and creatinine levels on ccfDNA concentration.

Patterns of recurrence in surgically treated women for TP53-mutated endometrial carcinomas.

OBJECTIVE: To describe the patterns of recurrence and the prognosis of patients with a recurrent TP53 mutated endometrial carcinoma treated initially by surgery. METHODS: All patients with endometrial carcinoma, treated at hospital European Georges Pompidou between 2001 and 2021 were retrospectively included. Patients were separated into two groups: TP53-mutated and not TP53-mutated (POLE/ultramutated-like (POLEmut), dMMR (mismatch repair-deficient) and NSMP (No specific molecular profile)). We estimated survival using recurrence free survival, overall survival and overall survival from recurrence. The risk of recurrence according to TP53 status and the type of recurrence (locoregional recurrence, peritoneal recurrence, and metastasis) were also compared between the two groups. RESULTS: Two hundred and ninety-one patients with endometrial carcinoma were included. Of these, 57 were TP53-mutated and 234 patients were not TP53-mutated. TP53 mutated patients had the worst recurrence free survival and overall survival (p < 0.001 for each). The hazard rate of recurrence was higher during the first three years for TP53 mutated endometrial carcinoma then tend to join the one of no TP53 mutated. There was a statistical difference between the two groups in terms of cumulative incidence of peritoneal recurrence (p = 0.002). There was, however, no statistical difference in overall survival from recurrence. CONCLUSIONS: TP53-mutated endometrial carcinoma were more likely to experience a recurrence during the first three years and most often peritoneal recurrence compared to not TP53-mutated. TP53 status in endometrial carcinoma could be useful to define follow-up. Further prospective studies are required to assess the predictive impact of TP53 mutation on chemotherapy benefit.

A novel Chr1-miR-200 driven whole transcriptome signature shapes tumor immune microenvironment and predicts relapse in early-stage lung adenocarcinoma.

BACKGROUND: In Lung adenocarcinoma (LUAD), targeted therapies and immunotherapies have moved from metastatic to early stage and stratification of the relapse risk becomes mandatory. Here we identified a miR-200 based RNA signature that delineates Epithelial-to-mesenchymal transition (EMT) heterogeneity and predicts survival beyond current classification systems. METHODS: A miR-200 signature was identified using RNA sequencing. We scored the miR-200 signature by WISP (Weighted In Silico Pathology), used GSEA to identify pathway enrichments and MCP-counter to characterize immune cell infiltrates. We evaluate the clinical value of this signature in our series of LUAD and using TCGA and 7 published datasets. RESULTS: We identified 3 clusters based on supervised classification: I is miR-200-sign-down and enriched in TP53 mutations IIA and IIB are miR-200-sign-up: IIA is enriched in EGFR (p < 0.001), IIB is enriched in KRAS mutation (p < 0.001). WISP stratified patients into miR-200-sign-down (n = 65) and miR-200-sign-up (n = 42). Several biological processes were enriched in MiR-200-sign-down tumors, focal adhesion, actin cytoskeleton, cytokine/receptor interaction, TP53 signaling and cell cycle pathways. Fibroblast, immune cell infiltration and PDL1 expression were also significantly higher suggesting immune exhaustion. This signature stratified patients into high-vs low-risk groups, miR-200-sign-up had higher DFS, median not reached at 60 vs 41 months and within subpopulations with stage I, IA, IB, or II. Results were validated on TCGA data on 7 public datasets. CONCLUSION: This EMT and miR-200-related prognostic signature refines prognosis evaluation independently of tumor stage and paves the way towards assessing the predictive value of this LUAD clustering to optimize perioperative treatment.

External Validity of Two Scores for Predicting the Risk of Chemotherapy Toxicity Among Older Patients With Solid Tumors: Results From the ELCAPA Prospective Cohort.

BACKGROUND: Severe chemotherapy-related toxicities are frequent among older patients. The Chemotherapy Risk Assessment Scale for High-Age Patients (CRASH) and the Cancer and Aging Research Group Study (CARG) score were both developed to predict these events. PATIENTS AND METHODS: The objective of this study was to evaluate the scores' predictive performance in a prospective cohort, which included patients aged 70 years and older referred for a geriatric assessment prior to chemotherapy for a solid tumor. The main endpoints were grades 3/4/5 toxicities for the CARG score and grades 4/5 hematologic toxicities and grades 3/4/5 non-hematologic toxicities for the CRASH score. RESULTS: A total of 248 patients were included, of which 150 (61%) and 126 (51%) experienced at least one severe adverse event as defined respectively in CARG and CRASH studies. The incidence of adverse events was not significantly greater in the intermediate and high-risk CARG groups than in the low-risk group (odds ratio (OR) [95% CI] = 0.3 [0.1-1.4] (P = .1) and 0.4 [0.1-1.7], respectively). The area under curve (AUC) was 0.55. Similarly, the incidence of severe toxicities was no greater in the intermediate-low, intermediate-high, and high-risk CRASH groups than in the low-risk CRASH group (OR [95%CI] = 1 [0.3-3.6], 1 [0.3-3.4], and 1.5 [0.3-8.1], respectively). The AUC was 0.52. The type of cancer, performance status, comorbidities, body mass index, and MAX2 index were independently associated with grades 3/4/5 toxicities. CONCLUSION: In an external cohort of older patients referred for a pretherapeutic GA, the CARG and CRASH scores were poor predictors of the risk of chemotherapy severe toxicities.

Potential competing risk of death in older high-risk endometrial carcinoma patients: Results from a multicentric retrospective cohort.

INTRODUCTION: Adjuvant therapeutic decisions in older endometrial carcinoma (EC) patients are challenged by a balance between more frequent aggressive EC and comorbidities. We assessed whether EC and comorbidities are competing or cumulative risks in older EC patients. METHODS: All consecutive patients treated for FIGO stage I-IV EC in two University Hospitals in Paris between 2010 and 2017 were retrospectively included. Patients were categorized as: <70 years (y), >70y without comorbidity (fit), and > 70y with a Charlson comorbidity index>3 (comorbid). Association between high-risk EC (2021-ESGO-ETRO-ESP) or comorbidity, and disease-specific-survival (DSS), was evaluated using Cox model (estimation of cause-specific hazard ratio (CSHR), and Fine-Gray model (subdistribution HR) to account for competing events (death unrelated with EC). RESULTS: Overall, 253 patients were included (median age = 67y, IQR[59-77], median follow-up = 61.5 months, [44.4-76.8]). Among them, 109 (43%) were categorized at high-risk (proportion independent of age), including 67 (26%) who had TP53-mutated tumors. Comorbidity and high-risk group were both associated with all-cause mortality (HR = 4.09, 95%CI[2.29; 7.32] and HR = 3.21, 95%CI [1.69; 6.09], respectively). By multivariate analysis, patients with high-risk EC exhibited poorer DSS, regardless of age/comorbidity (Adjusted-CSHR = 6.62, 95%CI[2.53;17.3]; adjusted-SHR = 6.62 95%CI[2.50;17.5]). Patients>70y-comorbid with high-risk EC had 5-years cumulative incidences of EC-related and EC-unrelated death of 29% and 19%, respectively. In patients <70y, 5-years cumulative incidence of EC-related and EC-unrelated death were 25% and < 1% (one event), respectively. CONCLUSION: High-risk EC patients are exposed to poorer DSS regardless of age/comorbidities, comorbidities and cancer being two cumulative rather than competing risks. Our results suggest that age/comorbidity alone should not lead to underestimate EC-specific survival.

Discovery and validation of a transcriptional signature identifying homologous recombination-deficient breast, endometrial and ovarian cancers.

BACKGROUND: Molecular alterations leading to homologous recombination deficiency (HRD) are heterogeneous. We aimed to identify a transcriptional profile shared by endometrial (UCEC), breast (BRCA) and ovarian (OV) cancers with HRD. METHODS: Genes differentially expressed with HRD genomic score (continuous gHRD score) in UCEC/BRCA/OV were identified using edgeR, and used to train a RNAseq score (ridge-regression model) predictive of the gHRD score (PanCanAtlas, N = 1684 samples). The RNAseq score was applied in independent gynaecological datasets (CARPEM/CPTAC/SCAN/TCGA, N = 4038 samples). Validations used ROC curves, linear regressions and Pearson correlations. Overall survival (OS) analyses used Kaplan-Meier curves and Cox models. RESULTS: In total, 656 genes were commonly up/downregulated with gHRD score in UCEC/BRCA/OV. Upregulated genes were enriched for nuclear/chromatin/DNA-repair processes, while downregulated genes for cytoskeleton (gene ontologies). The RNAseq score correlated with gHRD score in independent gynaecological cancers (R² = 0.4-0.7, Pearson correlation = 0.64-0.86, all P < 10-11), and was predictive of gHRD score >42 (RNAseq HRD profile; AUC = 0.95/0.92/0.78 in UCEC/BRCA/OV). RNAseq HRD profile was associated (i) with better OS in platinum-treated advanced TP53-mutated-UCEC (P < 0.001) and OV (P = 0.013), and (ii) with poorer OS (P < 0.001) and higher benefit of adjuvant chemotherapy in Stage I-III BRCA (interaction test, P < 0.001). CONCLUSIONS: UCEC/BRCA/OV with HRD-associated genomic scars share a common transcriptional profile. RNAseq signatures might be relevant for identifying HRD-gynaecological cancers, for prognostication and for therapeutic decision.

Highly Specific Droplet-Digital PCR Detection of Universally Methylated Circulating Tumor DNA in Endometrial Carcinoma.

BACKGROUND: No circulating biomarker is available for endometrial carcinoma (EC). We aimed to identify DNA positions universally hypermethylated in EC, and to develop a digital droplet PCR (ddPCR) assay for detection of hypermethylated circulating tumor DNA (meth-ctDNA) in plasma from patients with EC. METHODS: DNA positions hypermethylated in EC, and without unspecific hypermethylation in tissue/cell types releasing circulating cell-free DNA in plasma, were identified in silico from TCGA/Gene Expression Omnibus (GEO) data. A methylation-specific ddPCR (meth-ddPCR) assay following bisulfite conversion of DNA extracted from plasma was optimized for detection of meth-ctDNA according to dMIQE guidelines. Performances were validated on a retrospective cohort (n = 78 tumors, n = 30 tumor-adjacent tissues), a prospective pilot cohort (n = 33 stage I-IV patients), and 55 patients/donors without cancer. RESULTS: Hypermethylation of zinc finger and SCAN domain containing 12 (ZSCAN12) and/or oxytocin (OXT) classified EC samples from multiple noncancer samples with high diagnostic specificity/sensitivity [>97%; area under the curve (AUC) = 0.99; TCGA/GEO tissues/blood samples]. These results were confirmed in the independent retrospective cohort (AUC = 0.99). Meth-ddPCR showed a high analytical specificity (limit of blank = 2) and sensitivity (absolute lower threshold of detection = 50 pgmethDNA/mLplasma). In the pilot cohort, meth-ctDNA was detected in pretreatment plasma samples from 9/11 and 5/20 patients with advanced and non-advanced EC, respectively. 2 of 9 patients had ctDNA detected after macroscopic complete surgery and experienced progression within 6 months. No healthy donors had any copy of hypermethylated DNA detected in plasma. CONCLUSIONS: Meth-ddPCR of ZSCAN12/OXT allows a highly specific and sensitive detection of ctDNA in plasma from patients with EC and appears promising for personalized approaches for these patients.

Development and validation of a RNAseq signature for prognostic stratification in endometrial cancer.

BACKGROUND: Despite recent advances in endometrial carcinoma (EC) molecular characterization, its prognostication remains challenging. We aimed to assess whether RNAseq could stratify EC patient prognosis beyond current classification systems. METHODS: A prognostic signature was identified using a LASSO-penalized Cox model trained on TCGA (N = 543 patients). A clinically applicable polyA-RNAseq-based work-flow was developed for validation of the signature in a cohort of stage I-IV patients treated in two Hospitals [2010-2017]. Model performances were evaluated using time-dependent ROC curves (prediction of disease-specific-survival (DSS)). The additional value of the RNAseq signature was evaluated by multivariable Cox model, adjusted on high-risk prognostic group (2021 ESGO-ESTRO-ESP guidelines: non-endometrioid histology or stage III-IVA orTP53-mutated molecular subgroup). RESULTS: Among 209 patients included in the external validation cohort, 61 (30%), 10 (5%), 52 (25%), and 82 (40%), had mismatch repair-deficient, POLE-mutated, TP53-mutated tumors, and tumors with no specific molecular profile, respectively. The 38-genes signature accurately predicted DSS (AUC = 0.80). Most disease-related deaths occurred in high-risk patients (5-years DSS = 78% (95% CI = [68%-89%]) versus 99% [97%-100%] in patients without high-risk). A composite classifier accounting for the TP53-mutated subgroup and the RNAseq signature identified three classes independently associated with DSS: RNAseq-good prognosis (reference, 5-years DSS = 99%), non-TP53 tumors but with RNAseq-poor prognosis (adjusted-hazard ratio (aHR) = 5.75, 95% CI[1.14-29.0]), and TP53-mutated subgroup (aHR = 5.64 [1.12-28.3]). The model accounting for the high-risk group and the composite classifier predicted DSS with AUC = 0.84, versus AUC = 0.76 without (p = 0.01). CONCLUSION: RNA-seq profiling can provide an additional prognostic information to established classification systems, and warrants validation for potential RNAseq-based therapeutic strategies in EC.

Patients of 75 years and over with ANCA-associated vasculitis have a lower relapse risk than younger patients: A multicentre cohort study.

BACKGROUND: Little is known about antineutrophil cytoplasmic antibodies (ANCA)-associated vasculitis (AAV) in older patients. We aim to study relapse risk of granulomatosis with polyangiitis (GPA) or microscopic polyangiitis (MPA) in patients diagnosed after 75 years and compare it with those of patients aged 65-75 years. METHODS: Data from AAV patients aged ≥65 years were extracted from the French Vasculitis Study Group (FVSG) database and from a call for observation to FVSG members. Cox and Fine-Gray models were used to assess relapse risk, taking death into account either as a censoring or a competing event, respectively. RESULTS: The analysis included 219 patients aged ≥75 years (median 79) and 80 patients aged 65-75 years (median 70), of those 155 had GPA (52%), 136 MPA (45%), with 95 (32%) anti-proteinase 3 positivity and 179 (61%) anti-myeloperoxidase. Patients aged ≥75 years had a lower relapse risk in multivariate analysis (cause-specific hazards ratio [CSHR] 0.54, 95% CI [0.33-0.89], p = 0.016, Cox model; subdistribution hazard ratio [SHR] 0.46, 95% CI [0.29-0.74], p = 0.001, Fine-Gray model) after taking into account vasculitis type. Patients aged ≥75 years had a lower probability of being treated for remission maintenance with a combination of glucocorticoids and immunosuppressants (vs. glucocorticoids alone, HR 0.28, 95% CI [0.11-0.68], p = 0.005) after adjusting to Five Factor Score, although relapse-free survival was significantly longer when receiving such combination (CSHR 0.40, 95% [CI 0.24-0.67], p < 0.001). CONCLUSIONS: AAV patients ≥75 years have a lower relapse risk than patients aged 65-75 years despite a lower probability of having received maintenance therapy with a combination of glucocorticoids and immunosuppressants, but they still benefit from such treatment regimen.

Clinical assessment of the miR-34, miR-200, ZEB1 and SNAIL EMT regulation hub underlines the differential prognostic value of EMT miRs to drive mesenchymal transition and prognosis in resected NSCLC.

BACKGROUND: Patients with non-small cell lung cancer (NSCLC) receiving curative surgery have a risk of relapse, and adjuvant treatments only translate into a 5% increase in 5-year survival. We assessed the clinical significance of epithelial-mesenchymal transition (EMT) and explored its association with the [SNAIL/miR-34]:[ZEB/miR-200] regulation hub to refine prognostic information. METHODS: We validated a 7-gene EMT score using a consecutive series of 176 resected NSCLC. We quantified EMT transcription factors, microRNAs (miRs) of the miR-200, miR-34 families and miR-200 promoter hypermethylation to identify outcome predictors. RESULTS: Most tumours presented with an EMT-hybrid state and the EMT score was not predictive of outcome. Individually, all miR-200 were inversely associated with the EMT score, but only chromosome-1 miRs, miR-200a, b, 429, were associated with disease-free survival (p = 0.08, 0.05 and 0.025) and overall survival (p = 0.013, 0.003 and 0.006). We validated these associations on The Cancer Genome Atlas data. Tumour unsupervised clustering based on miR expression identified two good prognostic groups, unrelated to the EMT score, suggesting that miR profiling may have an important clinical value. CONCLUSION: miR-200 family members do not have similar predictive value. Core EMT-miR, regulators and not EMT itself, identify NSCLC patients with a low risk of relapse after surgery.

Association between Olaparib Exposure and Early Toxicity in BRCA-Mutated Ovarian Cancer Patients: Results from a Retrospective Multicenter Study.

Factors associated with olaparib toxicity remain unknown in ovarian cancer patients. The large inter-individual variability in olaparib pharmacokinetics could contribute to the onset of early significant adverse events (SAE). We aimed to retrospectively analyze the pharmacokinetic/pharmacodynamic relationship for toxicity in ovarian cancer patients from "real life" data. The clinical endpoint was the onset of SAE (grade III/IV toxicity or dose reduction/discontinuation). Plasma olaparib concentration was assayed using liquid chromatography at any time over the dosing interval. Trough concentrations (CminPred) were estimated using a population pharmacokinetic model. The association between toxicity and clinical characteristics or CminPred was assessed by logistic regression and non-parametric statistical tests. Twenty-seven patients were included, among whom 13 (48%) experienced SAE during the first six months of treatment. Olaparib CminPred was the only covariate significantly associated with increased risk of SAE onset (odds ratio = 1.31, 95%CI = [1.10; 1.57], for each additional 1000 ng/mL). The ROC curve identified a threshold of CminPred = 2500 ng/mL for prediction of SAE onset (sensitivity/specificity 0.62 and 1.00, respectively). This study highlights a significant association between olaparib plasma exposure and SAE onset and identified the threshold of 2500 ng/mL trough concentration as potentially useful to guide dose adjustment in ovarian cancer patients.

Identification of TP53 mutated group using a molecular and immunohistochemical classification of endometrial carcinoma to improve prognostic evaluation for adjuvant treatments.

INTRODUCTION: Molecular classification of endometrial carcinoma has been proposed to predict survival. However, its role in patient management remains to be determined. We aimed to identify whether a molecular and immunohistochemical classification of endometrial carcinoma could improve decision-making for adjuvant therapy. METHODS: All consecutive patients treated for endometrial carcinoma between 2010 and 2017 at Cochin University Hospital were included. Clinical risk of relapse was based on European Society for Medical Oncology-European Society of Gynaecological Oncology-European SocieTy for Radiotherapy & Oncology (ESMO-ESGO-ESTRO) consensus. The clinical event of interest was event-free survival. Formalin-fixed paraffin-embedded tissue samples were processed for histopathological analysis and DNA extraction. The nuclear expression of mismatch repair and TP53 proteins was analyzed by immunohistochemistry. Next-generation sequencing of a panel of 15 genes including TP53 and POLE was performed using Ampliseq panels on Ion Torrent PGM (ThermoFisher). Tumors were allocated into four molecular groups using a sequential method based on next-generation sequencing and immunohistochemistry data: (1) POLE/ultramutated-like; (2) MSI/hypermutated-like (mismatch repair-deficient); (3) TP53-mutated (without POLE mutations or mismatch repair deficiency); (4) not otherwise specified (the remaining tumors). RESULTS: 159 patients were included; 125 tumors were available for molecular characterization and distributed as follows: (1) POLE/ultramutated-like: n=4 (3%); (2) MSI/hypermutated-like: n=35 (30%); (3) TP53-mutated: n=30 (25%); and (4) not otherwise specified: n=49 (42%). Assessing the TP53 status by immunohistochemistry only rather than next-generation sequencing would have misclassified 6 tumors (5%). TP53-mutated tumors were associated with poor prognosis, independently of International Federation of Gynecology and Obstetrics (FIGO) stage and histological grade (Cox-based adjusted hazard ratio (aHR) 5.54, 95% CI 2.30 to 13.4), and independently of clinical risk of relapse (aHR 3.92, 95% CI 1.59 to 9.64). Among patients with FIGO stage I-II tumors, 6 (38%) TP53-mutated tumors had low/intermediate clinical risk of relapse and did not receive adjuvant chemotherapy or radiotherapy. CONCLUSION: Endometrial carcinoma molecular classification identified potentially under-treated patients with poor molecular prognosis despite being at low/intermediate clinical risk of relapse. Consideration of molecular classification in adjuvant therapeutic decisions should be evaluated in prospective trials.

Potential drug-drug interactions and risk of unplanned hospitalization in older patients with cancer: A survey of the prospective ELCAPA (ELderly CAncer PAtients) cohort.

BACKGROUND: Because of comorbidities and polypharmacy, older patients with cancer have a greater risk of iatrogenic events. We aimed to characterize potential drug-drug interactions (PDIs) and the risk of unplanned hospitalization in older patients with cancer treated with antineoplastic agents (ANAs). METHODS: We analyzed all older patients (≥70 years) from the prospective ELCAPA cohort referred for geriatric assessment (2007-2014) prior to treatment with ANA at Henri Mondor Hospital (Créteil, France). PDIs were identified using Lexicomp®, and Theriaque® for French medications. Factors associated with PDIs, and association between PDIs and unplanned hospitalization in the 6 months following geriatric assessment were analyzed using ordered multivariate logistic regression (MLR). RESULTS: We included 442 patients (median [interquartile range] age: 77 years [74-80]); number of medications/patient/day: 6 [3-8]); ECOG-PS ≤ 2: 79%; metastasis: 70%). Most patients had a digestive tract cancer (colorectal: 22%; upper digestive tract: 23%). We identified 1742 PDIs; 76.5% of patients had ≥1 PDI; 13% of the PDIs involved an ANA. In a multivariate analysis, cardiovascular disorders (ischemic heart disease, heart failure, atrial fibrillation and/or arterial hypertension) were independently associated with PDIs (p < .001, after adjustment for polypharmacy and tumor site/stage). A high number of PDIs between two daily medications was independently associated with the risk of unplanned hospitalization (adjusted-odds ratio [95% confidence interval] per PDI: 1.05 [1.00;1.11], p = .05), while polypharmacy was not. CONCLUSION: Patients with cardiovascular comorbidities were more likely to have a PDI. A higher number of PDIs may be an independent risk factor for early unplanned hospitalization.

Prediction of Drug Approval After Phase I Clinical Trials in Oncology: RESOLVED2.

PURPOSE: Drug development in oncology currently is facing a conjunction of an increasing number of antineoplastic agents (ANAs) candidate for phase I clinical trials (P1CTs) and an important attrition rate for final approval. We aimed to develop a machine learning algorithm (RESOLVED2) to predict drug development outcome, which could support early go/no-go decisions after P1CTs by better selection of drugs suitable for further development. METHODS: PubMed abstracts of P1CTs reporting on ANAs were used together with pharmacologic data from the DrugBank5.0 database to model time to US Food and Drug Administration (FDA) approval (FDA approval-free survival) since the first P1CT publication. The RESOLVED2 model was trained with machine learning methods. Its performance was evaluated on an independent test set with weighted concordance index (IPCW). RESULTS: We identified 462 ANAs from PubMed that matched with DrugBank5.0 (P1CT publication dates 1972 to 2017). Among 1,411 variables, 28 were used by RESOLVED2 to model the FDA approval-free survival, with an IPCW of 0.89 on the independent test set. RESOLVED2 outperformed a model that was based on efficacy/toxicity (IPCW, 0.69). In the test set at 6 years of follow-up, 73% (95% CI, 49% to 86%) of drugs predicted to be approved were approved, whereas 92% (95% CI, 87% to 98%) of drugs predicted to be nonapproved were still not approved (log-rank P < .001). A predicted approved drug was 16 times more likely to be approved than a predicted nonapproved drug (hazard ratio, 16.4; 95% CI, 8.40 to 32.2). CONCLUSION: As soon as P1CT completion, RESOLVED2 can predict accurately the time to FDA approval. We provide the proof of concept that drug development outcome can be predicted by machine learning strategies.

Lack of efficacy of neoadjuvant chemotherapy in adult patients with maxillo-facial high-grade osteosarcomas: A French experience in two reference centers.

INTRODUCTION: Neoadjuvant chemotherapy (neo-CT) for osteosarcomas is the standard of care. Management of maxillo-facial osteosarcomas (MFOS) is challenging. In this rare disease, we collected a large cohort of patients with the aim to report the histological and radiological local response rates to neo-CT. PATIENTS AND METHODS: All consecutive adult patients treated between 2001 and 2016 in two French sarcoma referral centers (Pitié-Salpêtrière Hospital, APHP, RESAP France and Gustave Roussy Institute France), for a histologically proved MFOS were included. Clinical, histological and radiological data were independently reviewed. Tumor response to neo-CT was assessed clinically, radiologically with independent review using RECIST v1.1 criterion and pathologically (percentage of necrosis). Multivariate analysis was done for outcomes, tumor response and disease-free survival (DFS). RESULTS: A total of 35 high grade MFOS were collected. The clinical tumor response was 4% (1/24 receiving neo-CT), the radiological response was 0% (0/18 with available data) and the pathological response was 5% (1/20 with available data). Three patients (12.5%) initially resectable became unresectable due to clinical and radiological progression during neo-CT. Tumor size and R0 (clear margins) surgical resections were significantly associated with DFS. CONCLUSION: MFOS is a rare disease. This large retrospective cohort of MFOS indicates the lack of benefit and potentially deleterious effects of neo-CT. We suggest privileging primary surgery in initially localized resectable MFOS. The benefit of adjuvant chemotherapy should be prospectively studied.

Long non-coding RNAs in genitourinary malignancies: a whole new world.

Long non-coding RNAs (lncRNAs) are regulators of cellular machinery that are commonly dysregulated in genitourinary malignancies. Accordingly, the investigation of lncRNAs is improving our understanding of genitourinary cancers, from development to progression and dissemination. lncRNAs are involved in major oncogenic events in genitourinary malignancies, including androgen receptor (AR) signalling in prostate cancer, hypoxia-inducible factor (HIF) pathway activation in renal cell carcinoma and invasiveness in bladder cancer, as well as multiple other proliferation and survival mechanisms. In line with their putative oncogenic roles, new lncRNA-based classifications are emerging as potent predictors of prognosis. In clinical practice, detection of oncogenic lncRNAs in serum or urine might enable early cancer detection, and lncRNAs might also be promising therapeutic targets for patients with genitourinary cancer. Furthermore, as predictors of sensitivity to anticancer treatments, lncRNAs could be integrated into future precision medicine strategies. Overall, lncRNAs are promising new candidates for molecular studies and for discovery of innovative biomarkers and are putative therapeutic targets in genitourinary oncology.

The NRF2 transcriptional target NQO1 has low mRNA levels in TP53-mutated endometrial carcinomas.

BACKGROUND: NRF2 is a major transcription factor regulating the expression of antioxidative/detoxifying enzymes, involved in oncogenic processes and drug resistance. We aimed to identify molecular alterations associated with NRF2 activation in endometrial carcinoma (EC). METHODS: Ninety patients treated (2012-2017) for localized/locally advanced EC were included in this study. Formalin-fixed paraffin-embedded tissue samples were processed for immunohistochemical (NRF2 and Mismatch Repair proteins) analyses. Next generation sequencing (NGS) of a panel of genes including POLE, TP53, NFE2L2, KEAP1 and CUL3 was performed using Ampliseq panels on Ion Torrent PGM (ThermoFisher). NRF2 activity was assessed by NQO1, GCLC, and AKR1C3 mRNA expressions, using TaqMan assays and quantitative RT-PCR. RESULTS: Tumors were classified as POLE exonuclease domain mutated (N = 3, 3%), MMR-deficient (MSI-like) (N = 28, 31%), TP53 mutated (Copy-number high-like) (N = 22, 24%), and other tumors (Copy-number low-like) (N = 32, 36%). NRF2 nuclear immunostaining did not correlate with NRF2 target genes expression. The 3 tumors with highest NRF2 target genes expression harbored oncogenic KEAP1 or NFE2L2 mutations. Low NQO1 mRNA and protein levels were observed in the TP53 mutated subgroup compared to others tumors (p < .05) and in silico analyses of The Cancer Genome Atlas data further indicated that NQO1 mRNA levels were lower in serous compared to endometrioid copy-number high EC. CONCLUSION: In contrast with previous reports based on immunohistochemistry, our study indicates that NRF2 activation is a rare event in EC, associated with NFE2L2 or KEAP1 mutations. The subset of aggressive EC with low NQO1 mRNA level might represent a specific subgroup, which could be sensitive to combination therapies targeting oxidative stress.

Brain Metastases and Place of Antiangiogenic Therapies in Alveolar Soft Part Sarcoma: A Retrospective Analysis of the French Sarcoma Group.

BACKGROUND: Alveolar soft part sarcoma (ASPS) is a rare sarcoma characterized by a slow evolution, brain metastasis (BM), and resistance to doxorubicin. Antiangiogenic therapies (AAT) have shown clinical activity, but little is known about the optimal therapeutic strategy, specifically considering BM. SUBJECTS, MATERIALS, AND METHODS: We performed a retrospective analysis of all patients with ASPS treated in three referral centers of the French Sarcoma Group. We aimed to describe factors associated with overall survival (OS) and the impact of BM on outcome of patients treated by AAT. RESULTS: We identified 75 patients between 1971 and 2012 (median age = 23, range: 5-96 years). Median follow-up was 74 months. Patients with localized (n = 44, 59%) and metastatic (n = 31, 41%) diseases had a 10-year OS of 69% and 25%, respectively. Only surgical incomplete resection was associated with shorter OS in localized disease (hazard ratio [HR] = 5.2, 95% confidence interval [CI] 1.2-22.4, p = .02). Fifty-two (69%) patients developed lung metastasis (LM; baseline: n = 31, [41%]; de novo: n = 21, [28%]). Thirteen patients developed BM, all occurring after LM. Tumor size ≥5 cm was associated with poorer BM-free survival (HR = 8.4, 95% CI 2.1-33.9, p = .002). Median OS post-BM was 17 months (95% CI 15 to not assessable). Overall, 12 patients were treated with AAT (sunitinib n = 10): 5 patients had BM and achieved poor outcomes compared with patients without, with median progression-free-survivals of 2 versus 11 months, respectively. CONCLUSION: Baseline larger tumors were associated with increased risk of brain metastasis in patients with ASPS. Patients with BM seem to have little benefit from AAT, suggesting the need to develop antineoplastic agents with high central nervous system penetrance in this setting. IMPLICATIONS FOR PRACTICE: Alveolar soft part sarcoma (ASPS) is an extremely rare subtype of sarcoma that is particularly resistant to conventional therapies. Antiangiogenic therapies (AAT) have shown promising results. However, patients with ASPS still die of tumor evolution. This study highlights the prognostic shift induced by brain metastasis (BM), identifying this event as a major contributor to the death of patients with ASPS, and observes a striking lack of effectiveness of AAT in patients who had previously developed BM. This observation is of interest for the therapeutic development in ASPS, highlighting the need to develop strategies dedicated to BM, such as radiosurgery or high-central nervous system penetrance tyrosine kinase inhibitors.

Overall Survival Prediction and Usefulness of Second-Line Chemotherapy in Advanced Pancreatic Adenocarcinoma.

Background: In advanced pancreatic ductal adenocarcinoma (aPDAC), there is no consensual strategy for second-line chemotherapy (L2). Better discrimination of overall survival (OS) may help clinical decision-making. We aimed to predict OS from the beginning of L2 and to assess the benefit from chemotherapy among the identified risk groups. Methods: Analyses were derived from all consecutive aPDAC patients treated at Besancon University Hospital, Besancon, France, between January 2003 and December 2013 (n = 462). The association of 50 parameters with OS was evaluated using univariate and multivariable Cox analyses. Based on the final model, a prognostic nomogram and score were developed and externally validated. Patients in the external validation cohort who received L2 (n = 163) were treated at three French institutions between January 2010 and April 2016. All statistical tests were two-sided. Results: In the development cohort, 395 patients (85.5%) were eligible for L2, of which 261 (66.1%) were treated. Age, smoking status, liver metastases, performance status, pain, jaundice, ascites, duration of first-line, and type of L2 regimen were identified as independent prognostic factors for OS in L2. The score determined three groups with median OS of 11.3 months (95% confidence interval [CI] = 9.1 to 12.9 months), 3.6 months (95% CI = 2.6 to 4.7 months), and 1.4 months (95% CI = 1.2 to 1.7 months), for low-, intermediate-, and high-risk groups, respectively ( P < .001). By applying the score in the population eligible for L2 but untreated, the chemotherapy benefit was statistically significant across all groups, but with a magnitude of the effect decreased statistically significantly from low- to high-risk groups ( P = .001 for treatment and risk groups interaction term). The ability of the score to discriminate OS was confirmed in the external validation cohort. Conclusions: This prognostic nomogram and score in patients with aPDAC can accurately predict OS before administration of L2 and may help clinicians in their therapeutic decisions.