Abstract 4101: ADRENALINE, an atlas for drug and breast cancer survival interaction: Comedications at diagnosis and impact on breast cancer mortality of the French breast cancer cohort (n=235,375)
Authors: Dumas Elise , Grandal Beatriz , Laot Lucie , Daoud Eric , Delrieu Lidia , Espié Marc , Houzard Sophie , Le Bihan-Benjamin Christine , Bousquet Philippe-Jean , Anthony Elodie , Latouche Aurélien , Sella Nadir , Dubois Thierry , Ballesta Annabelle , Kassara Amyn , Del Nery Elaine , Marande Benjamin , Alsafadi Samar , Gougis Paul , Azencott Chloé-Agathe , Reyal Fabien , Hamy Anne-Sophie 
Published: June 2022

Abstract
Background: Breast cancer (BC) incidence increases with age, as well as the incidence of many other chronic diseases. Between 42 and 68% of BC patients suffer from other chronic conditions -comorbidities- at BC diagnosis. Comorbidities may be associated with the intake of chronic medications -comedications. The French health insurance system routinely collects health care reimbursements of almost 98% of the population: hospital abstracts, long-term diseases, outpatient care (medical consults, drug purchases under prescription⋯) and death status. The project ADRENALINE (Atlas for DRug and brEast caNcer survivAL INtEraction) analyzes the impact of comedications at diagnosis on BC survival on a French cohort using data from the French social security system.
Methods: We identified all women diagnosed with an incident BC treated with surgery in France from 2011 to 2017 and affiliated to the general health insurance scheme. Women with concomitant cancer or metastases at diagnosis were discarded from the analyses. Comedication intake was defined as the delivery in pharmacy of at least 3 months of full treatment (e.g. 90 pills) the 6 months preceding BC diagnosis. The analysis was restricted to drugs taken by at least 300 women. A Cox proportional hazard model was used to estimate the hazard ratio (HR) for each molecule. The model was adjusted on more than 100 confounding variables: social factors, comorbidities and other comedications. Two adjustment methods were tested: Inverse Probability of Treatment Weighting (IPTW) and matching. We assumed that the adjustment was sufficient to control for confounding if the standardized mean difference of each confounder after adjustment did not exceed 0.1. Molecules which did not pass the adjustment quality test were discarded.
Results: 235,375 patients were included in the study. Among 219 selected drugs, 91 and 171 passed the adjustment quality test for IPTW and for matching, respectively. The full set of results is available on a web application. Among main findings, several drugs or drug classes were associated with an improved survival: proton-pump inhibitors (IPTW; HR=0.93; p=0.002); statins (e.g. rosuvastatin, IPTW, HR=0.65, p&lt;0.001); beta-blocking agents (atenolol, IPTW, HR=0.78, p=0.003); alverine (IPTW, HR=0.78, p&lt;0.001). Conversely, imidazoline receptor agonists may be deleterious (moxonidine; matching; HR=2.12; p = 0.001).
Conclusion: ADRENALINE reports the impact on BC survival of 219 widely prescribed drugs. It can be used to identify molecules with a potential protective or deleterious effect relative to BC. Some of them are currently under mechanistical investigation within a drug screening program. This atlas highlights candidates to drug-repurposing trials or pharmacovigilance warnings, and will be extended to cancers of other localizations in a near future.
Citation Format: Elise Dumas, Beatriz Grandal, Lucie Laot, Eric Daoud, Lidia Delrieu, Marc Espié, Sophie Houzard, Christine Le Bihan-Benjamin, Philippe-Jean Bousquet, Elodie Anthony, Aurélien Latouche, Nadir Sella, Thierry Dubois, Annabelle Ballesta, Amyn Kassara, Elaine Del Nery, Benjamin Marande, Samar Alsafadi, Paul Gougis, Chloé-Agathe Azencott, Fabien Reyal, Anne-Sophie Hamy. ADRENALINE, an atlas for drug and breast cancer survival interaction: Comedications at diagnosis and impact on breast cancer mortality of the French breast cancer cohort (n=235,375) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 4101.