ABSTRACT
Background: Risk-stratified BCS, integrating personal, familial variables and a polygenic risk score (PRS) is a promising strategy that may improve current BCS outcomes. Real-time risk assessment and field implementation are some of the main challenges for such an approach. Methods: MyPeBS is an ongoing EU-funded international randomized trial running in 6 countries. Eligible women (wn) aged 40-70 are randomized 1:1 between continuing standard organized BCS as recommended in their participating country/region and switching to risk-stratified BCS, in which BCS schedule and modalities are adapted to the individual predicted 5-year risk of invasive BC (IBC). Primary endpoint is 4-year incidence of stage 2 and higher BC. Secondary endpoints include PROs. 5-year IBC risk is estimated using the Mammorisk® BCSC-derived or the Tyrer Cuzick risk score and the centrally-determined PRS313 obtained from a saliva sample and calibrated for national BC incidence and age. We aim to describe 1) the feasibility of real-time assessment of BC risk and 2) the characteristics and risk profiles of the participants. Results: As of Sept. 7, 2021, 16,550 wn had been randomized. 29% were aged <50 (median age 54 (range 40-70), 13% had a previous benign breast biopsy, 40% a mammographic breast density C or D, 19% a 1st degree family history of breast or ovarian cancer;72% had tertiary education. 36% were estimated at low risk (<1% risk of IBC at 5 years), 29% at average risk, and 35% at high (34%) or very high risk (1%) (>1.67% and >6% risk, respectively). Only 2.5% of DNA extractions were not usable for genotyping, due to DNA concentration or quality;and 98.8% of the eligible DNA samples were successfully genotyped. Median turnover time from saliva sampling to risk result available was 11 weeks despite the COVID pandemic (currently 7 weeks). Conclusions: Real-time BC risk assessment based on a large set of polymorphisms, family, screening and hormonal history, and breast density is feasible within organized screening programmes. Participants are so far representative of different categories with some over-representation of highly educated participants. Clinical trial identification: NCT03672331. Legal entity responsible for the study: Unicancer. Funding: European Commission and French National Cancer Institute. Disclosure: S. Delaloge: Financial Interests, Institutional, Advisory Board: AstraZeneca;Financial Interests, Institutional, Invited Speaker: Exact Sciences;Financial Interests, Institutional, Advisory Board: Novartis;Financial Interests, Institutional, Advisory Board: Pierre fabre;Financial Interests, Institutional, Advisory Board: Orion;Financial Interests, Institutional, Advisory Board: Sanofi;Financial Interests, Institutional, Advisory Board: Rappta;Financial Interests, Institutional, Advisory Board: Cellectis;Financial Interests, Institutional, Advisory Board: Isis/servier;Financial Interests, Institutional, Invited Speaker: Pfizer;Financial Interests, Institutional, Invited Speaker: Seagen;Financial Interests, Institutional, Invited Speaker: Lilly;Financial Interests, Institutional, Invited Speaker: AstraZeneca;Financial Interests, Institutional, Invited Speaker: MSD;Financial Interests, Institutional, Advisory Board, ad board: Besins Healthcare;Financial Interests, Institutional, Invited Speaker: Roche Genentech;Financial Interests, Institutional, Invited Speaker: BMS;Financial Interests, Institutional, Invited Speaker: Puma;Financial Interests, Institutional, Invited Speaker: AstraZeneca;Financial Interests, Institutional, Invited Speaker: Orion;Financial Interests, Institutional, Invited Speaker: Sanofi;Financial Interests, Institutional, Funding: GE;Financial Interests, Institutional, Invited Speaker: Pfizer;Financial Interests, Institutional, Invited Speaker, clinical research funding to my institution: Taiho;Non-Financial Interests, Invited Speaker, Société Française de Sénologie et Pathologie Mammaire: SFSPM. D. Keatley: Financial Interests, Personal, Advisory Board: Public Advisory Board of Heealth Data UK. E. Gauthier: Financial Interests, Personal, Stocks/Shares: Predilife;Financial Interests, Personal, Full or part-time Employment: Predilife. S. Michiels: Financial Interests, Personal, Advisory Role: IDDI;Financial Interests, Personal, Advisory Role: Amaris;Financial Interests, Personal, Advisory Role: Roche;Financial Interests, Personal, Advisory Role: Sensorion;Financial Interests, Personal, Advisory Role: Biophytis;Financial Interests, Personal, Advisory Role: Servier;Financial Interests, Personal, Advisory Role: Yuhan. All other authors have declared no conflicts of interest.
ABSTRACT
Background: The SARS-CoV-2 outbreak in Paris's region significantly affected Gustave Roussy Cancer Center.Previous analyses showed that mortality rate increases with age in the general population. Here, we report theGustave Roussy experience on older patients (OP) with cancer during the SARS-CoV-2 outbreak. Methods: Cancer pts with suspected SARS-CoV-2 infection were admitted at Gustave Roussy starting March 12th.Screening indications have been adapted over the time. All the COVID19 pts positively tested and managed atGustave Roussy between March 14th (1st positive case) and April 15th have been included in a REDCap database.Pts and underlying oncologic and COVID19 diseases characteristics have been collected. Cancer and COVID-19managements and outcomes have been assessed. The primary endpoint of this analysis was the clinicaldeterioration, defined as the need for O2 supplementation of 6l/min, or death of any cause. Results: Among the first 137 cancer pts diagnosed with SARS-CoV-2, 36 patients were aged 70 years (26%). Mostof them were female (61%) with a median age of 75.5 years old. Most frequent underlying cancers were solidtumors (92%) including GI (19%), lung (17%), GYN (14%), and head and neck (14%). Most OP (36%) were ECOGperformance status 2 versus 24% in younger patients (YP). The diagnosis of SARS-CoV-2 infection was made byRT-PCR or thoracic CT scan alone in 97% and 3% of the cases, respectively, in OP and in 92% and 8% in YP. MostOP experienced symptoms prior to testing (92%) compared to YP (80%). Symptoms differed according to age withmore cough with sputum production in OP (14% versus 5%), dyspnea (39% versus 31%), diarrhea (17% versus9%), shivers (8% versus 0%), sore throat (8% versus 4%), and no anosmia or agueusia. The majority of OP werehospitalized (81%) compared to 72% of YP and treated with HCQ/AZI (15;52%) with inclusion in the ONCOVID trial(EudraCT: 2020-01250-21) compared to 25 (35%) YP. They did not receive any IL-6 inhibitor. Only one OP wasadmitted in the ICU (3%). Clinical deterioration occurred in 10 OP (29%). There was no impact of age on clinicalworsening (HR=1.157;95%CI 0.55-2.42;p=0.7). However, age was associated with worse overall survival (OS)(HR=2.45 95%CI 1.02-5.92 ;p=0.0463). Results will be updated at the meeting. Conclusions: OP with cancer had a different disease presentation, same rate of clinical worsening, but worse OSin SARS-CoV-2 infection.
ABSTRACT
Background: The SARS-CoV-2 outbreak significantly affected Gustave Roussy cancer center. Here, we report the Gustave Roussy experience on older patients (OP) with cancer during the SARS-CoV-2 outbreak. Methods: Cancer pts with suspected SARS-CoV-2 infection were admitted at Gustave Roussy starting March, 12th. Screening indications have been adapted over time. All the COVID-19 pts positively tested and managed at Gustave Roussy between March 14th and April 15th have been included in a redcap database. Pts and underlying oncological and COVID-19 diseases characteristics have been collected. Cancer and COVID-19 managements, and outcomes have been assessed. The primary endpoint of this analysis was the clinical deterioration, defined as the need for O2 supplementation of 6l/min or more, or death of any cause. Results: Among the first 137 cancer pts diagnosed with SARS-CoV-2, 36 patients were aged 70 years old or over (26%). Most of them were female (61%) with a median age of 75.5 years old. Most frequent underlying cancers were solid tumors (92%) including GI (19%), lung (17%), GYN (14%) and head and neck (14%). Most OP (36%) were ECOG Performans status 2 versus 24% in younger patients (YP). The diagnosis of SARS-CoV-2 infection was made by RT-PCR or thoracic CT scan alone in 97% and 3% of the cases, respectively in OP and in 92% and 8% in YP. Most OP experienced symptoms prior to testing (92%) compared to YP (80%). Symptoms differed according to age with more cough with sputum production in OP (14% versus 5%), dyspnea (39% versus 31%), diarrhea (17% versus 9%), shivers (8% versus 0%), sore throat (8% versus 4%) and no anosmia nor agueusia. The majority of OP was hospitalized (81%) compared to 72% of YP and treated with HCQ/AZI (15;52%) compared to 25 (35%) YP with inclusion in the ONCOVID trial (EudraCT: 2020-01250-21). They did not receive any IL-6 inhibitor. Only one OP was admitted in the ICU (3%). Clinical deterioration occurred in 10 OP (29%). There was no impact of age on clinical worsening (HR=1.157;95%CI 0.55-2.42;p=0.7). However age was associated with worse overall survival (OS) (HR=2.45 95%CI 1.02-5.92;p=0.0463). Results will be updated at the meeting. Conclusions: OP with cancer had a different disease presentation, same rate of clinical worsening but worse OS in SARS-CoV-2 infection. Legal entity responsible for the study: The authors. Funding: Has not received any funding. Disclosure: All authors have declared no conflicts of interest.