Sophie Paget-Bailly

High-risk HPV (hrHPV) testing has been implemented as a primary screening tool for cervical cancer in numerous countries. However, there is still a need for relevant triage strategies to manage hrHPV positive women to avoid excessive referral to colposcopy. The objective of this study was to assess, in women infected by hrHPV and presenting no or mild cytological abnormalities, HPV16 and HPV18 viral loads to predict the development of cervical high-grade lesion. Among 2102 women positive for hrHPV, 885 had no lesion or mild cytological abnormalities at baseline and had at least one follow-up (FU) visit. HPV16 and HPV18 prevalence was 25.9% and 8.4%, respectively. Of those women, 15% developed a high-grade lesion during the FU. An HPV16 viral load cut-off set at 3.2 log₁₀GE/10³ cells permitted to identify a subgroup of women at high risk of developing high-grade cervical lesion (HR = 2.67; 95% CI 1.80–3.97; p ≤ 0.0001). No specific HPV18 viral load threshold could have been defined in regard to the present study. In multivariate analysis, HPV16 load (absence/log₁₀GE/10³ cells < 3.2 vs. ≥3.2), RLU/PC 239 (1–100 pg/mL vs. >100 pg/mL) and cytology (normal vs abnormal) were independently associated with a significant increased risk of high-grade lesion development and were used to construct the prognostic score. In conclusion, HPV16 load is a relevant biomarker to identify women at high risk for developing cervical precancerous lesions.

Two main therapies, pazopanib and sunitinib, are used in the first-line setting for metastatic renal cell carcinoma (mRCC). These two tyrosine kinase inhibitors (TKI) are equally effective in terms of survival; however, they frequently induce adverse events. In this setting, Health-Related Quality of life (HRQoL) is a key element in the choice between these two treatments and the evaluation of treatment effectiveness. It could be of interest to evaluate HRQoL in daily clinical practice to aid adequate therapy choice and management. Currently, the development of information and communication technology may allow HRQoL monitoring in routine practice. The objective of the QUANARIE study is to evaluate the use of HRQoL assessment in daily clinical practice for patients with mRCC treated with TKI using electronic patient-reported outcomes (e-PRO). The present article describes the key elements of the study protocol. The QUANARIE study is an interventional, prospective, multicentre trial. Patients diagnosed with mRCC initiating sunitinib or pazopanib treatment will be invited to complete the EORTC QLQ-C30 questionnaire, nine additional questions from the EORTC items library, and the EuroQoL EQ-5D, prior to each visit with the physician. Questionnaires will be completed by patients using tablets and/or computer terminals via the e-PRO software. The physician will have real-time access to a visual summary of the HRQoL evaluation. The primary objective is to assess the proportion of patients having good compliance with Routine Electronic Monitoring of HRQoL (REMOQOL) during the first 12 months. Physicians’ satisfaction with REMOQOL will be assessed as a secondary objective. We hypothesise that 80% of patients having good compliance with REMOQOL would be meaningful. A sample size of 56 patients would be needed. The results of this study will show whether REMOQOL is feasible on a large scale and whether patients are receptive to this new practice. This study will also determine how real-time multidimensional evaluation of patient perception can help physicians in their daily practice and how they used it in conjunction with other clinical information to manage patient care. ClinicalTrials.gov; Identifier: NCT03062410 ; First Posted: February 23, 2017; Last Update Posted: August 9, 2017.

Genome-wide association studies (GWAS) have to date identified 94 genetic variants (single nucleotide polymorphisms (SNPs)) associated with risk of developing breast cancer. A score based on the combined effect of the 94 risk alleles can be calculated to measure the global risk of breast cancer. We aimed to test the hypothesis that the 94-SNP-based risk score is associated with clinico-pathological characteristics, breast cancer subtypes and outcomes in early breast cancer. A 94-SNP risk score was calculated in 8703 patients in the PHARE and SIGNAL prospective case cohorts. This score is the total number of inherited risk alleles based on 94 selected SNPs. Clinical data and outcomes were prospectively registered. Genotyping was obtained from a GWAS. The median 94-SNP risk score in 8703 patients with early breast cancer was 77.5 (range: 58.1–97.6). The risk score was not associated with usual prognostic and predictive factors (age; tumor, node, metastasis (TNM) status; Scarff-Bloom-Richardson grade; inflammatory features; estrogen receptor status; progesterone receptor status; human epidermal growth factor receptor 2 (HER2) status) and did not correlate with breast cancer subtypes. The 94-SNP risk score did not predict outcomes represented by overall survival or disease-free survival. In a prospective case cohort of 8703 patients, a risk score based on 94 SNPs was not associated with breast cancer characteristics, cancer subtypes, or patients’ outcomes. If we hypothesize that prognosis and subtypes of breast cancer are determined by constitutional genetic factors, our results suggest that a score based on breast cancer risk-associated SNPs is not associated with prognosis. PHARE cohort: NCT00381901, Sept. 26, 2006 – SIGNAL cohort: INCa RECF1098, Jan. 28, 2009

Frailty is highly prevalent in elderly people. While significant progress has been made to understand its pathogenesis process, few validated questionnaire exist to assess the multidimensional concept of frailty and to detect people frail or at risk to become frail. The objectives of this study were to construct and validate a new frailty-screening instrument named Frailty Groupe Iso-Ressource Evaluation (FRAGIRE) that accurately predicts the risk for frailty in older adults. A prospective multicenter recruitment of the elderly patients was undertaken in France. The subjects were classified into financially-helped group (FH, with financial assistance) and non-financially helped group (NFH, without any financial assistance), considering FH subjects are more frail than the NFH group and thus representing an acceptable surrogate population for frailty. Psychometric properties of the FRAGIRE grid were assessed including discrimination between the FH and NFH groups. Items reduction was made according to statistical analyses and experts’ point of view. The association between items response and tests with “help requested status” was assessed in univariate and multivariate unconditional logistic regression analyses and a prognostic score to become frail was finally proposed for each subject. Between May 2013 and July 2013, 385 subjects were included: 338 (88%) in the FH group and 47 (12%) in the NFH group. The initial FRAGIRE grid included 65 items. After conducting the item selection, the final grid of the FRAGIRE was reduced to 19 items. The final grid showed fair discrimination ability to predict frailty (area under the curve (AUC) = 0.85) and good calibration (Hosmer-Lemeshow P-value = 0.580), reflecting a good agreement between the prediction by the final model and actual observation. The Cronbach's alpha for the developed tool scored as high as 0.69 (95% Confidence Interval: 0.64 to 0.74). The final prognostic score was excellent, with an AUC of 0.756. Moreover, it facilitated significant separation of patients into individuals requesting for help from others (P-value < 0.0001), with sensitivity of 81%, specificity of 61%, positive predictive value of 93%, negative predictive value of 34%, and a global predictive value of 78%. The FRAGIRE seems to have considerable potential as a reliable and effective tool for identifying frail elderly individuals by a public health social worker without medical training.

The benefit of preoperative chemotherapy in resectable gastroesophageal adenocarcinomas was not observed in signet ring cell subtype. However, the potential interest of taxane-based preoperative chemotherapy on this subtype is still an unresolved issue. Nineteen patients with localized signet ring cell adenocarcinomas received taxane-based regimens, and 17 patients underwent surgery. Complete resection was achieved in 80 %, and median overall survival was 40.8 months (95 % confidence interval (CI), 20.2—not reached). Even though one patient achieved a complete pathological response, seven patients had an upstaging of their tumors at surgery. The potential benefits of taxane-based chemotherapy seem to be limited to a reduced number of patients.

235 Background: The management of locally advanced pancreatic cancer (LAPC) patients remains controversial and complex. Better discrimination for Overall Survival (OS) is needed to improve therapeutic decisions. We address this issue, with the largest Phase III cohort of LAPC, by establishing the first prognosis model for OS with the full spectrum of parameters currently available at diagnosis. Methods: We enrolled 442 LAPC patients recruited in LAP07, an international multicenter randomized phase III trial (NCT00634725). 30 baseline variables among demographic, cancer history, clinical, biological and radiological parameters were evaluated in univariate and multivariate analyses as prognostic factors for OS. The predictive value of the final model was evaluated with Harrell’s C index. This analysis was repeated 1,000 times with the use of bootstrap sample to derive 95%CI for the C. A prognostic score and nomogramm were then developed based on the identified prognostic factors in the final model. Results: Independent prognostic factors identified in multivariate analysis (n=370) for OS were: Age (HR= 1.01; 95%CI 1.00 - 1.03; p=0.0418), Pain (HR= 1.36 ; 95%CI 1.08 - 1.71; p=0.0094), Albumin (HR= 0.96; 95%CI 0.94 - 0.98; p=0.0001), and RECIST size (HR= 1.01; 95%CI 1.00 - 1.02; p=0.0033), Harrell’s C-statistic for the final model was 0.60 (95% bootstrap CI 0.56 0.63). A prognostic score between 0 and 4 was then calculated for each patient, based on the previous model. Three risk-groups for death could be identified: lower risk (n=17; median OS time = 18.8 months; group of reference); intermediate risk (n=166 ;median OS time = 13.4 months; HR=1.7); higher risk (n=187 ; median OS time = 11.8 months; HR=2.1); p = 0.0101 by the global log rank test. A score and nomogramm were also developped with the addition of CA19.9 information. Conclusions: Our results highlighted 4 OS’s independent pronostic factors among a broad spectrum of parameters at time of diagnosis. We identified 3 groups with different OS’s prognosis profile. The determination of this simple prognostic score allows risk stratification that may help guiding clinical management of patients and the design for future clinical trials.