The main objective of the ETIOSARC study is to assess the role of lifestyle, environmental and occupational factors in the occurrence of sarcomas among adults from a multicenter population-based case-control study.
Specific objectives are:
* To identify environmental risk factors for sarcomas as a whole and for the most frequent subtypes;
* To investigate the interactions between gene polymorphisms and environmental exposures in sarcoma susceptibility;
* To assess whether some specific genetic characteristics of sarcoma' tumors are associated with environmental exposures; We will also explore the feasibility of classifying sarcomas by genetics types (simple vs complex genomic profile) as part of the objective of identifying environmental risk factors.
Study design
The ETIOSARC study is a prospective multicenter population-based case-control study. This study is restricted to French geographical areas (further called districts) that meet at least one of these four criteria:
* Criteria 1: Districts covered by both a general cancer registry and a French Sarcoma Group (GSF-GETO) expert center from either the network of reference for soft-tissue sarcoma pathology (RRePS), the network of reference for bone sarcoma pathology (ResOs) or the clinical sarcoma network (NetSarc);
* Criteria 2: Districts including a coordinator center of any of the RRePS / NetSarc networks;
* Criteria 3: Districts covered by a general cancer registry that is expected to register more than 50 cases per year;
* Criteria 4: Districts adjacent to districts meeting criteria 1 and covered by a general cancer registry.
In total, 15 districts meet one of the four criteria, which represent approximatively 24% of the French population (2015 estimations from the national institute of statistics and economic studies, Insee). Nine districts meet criteria 1 (Gironde, Hérault, Haute-Vienne, Loire Atlantique, Calvados, Nord, Bas-Rhin and Doubs, Poitou-Charentes), two districts meet criteria 2 (Rhône and Val-de-Marne); two districts meet criteria 3 (Isère and Haut-Rhin) et two districts meet criteria 4 (Manche, Vendée).
Study population
Cases recruitment modalities
Patients will be recruited by specifically trained clinical research associate (CRA). In districts where a general cancer registry is active, the process of identifying incident sarcoma patients is well defined, which warrants the efficiency and exhaustiveness of the recruitment. However, poor survival for some cancer cases will not allow to rely on routine inclusion procedure and the registries will implement a rapid case ascertainment procedure to minimize the delay between diagnosis and enrollment and interview. Cases will be identified from pathology laboratories and multidisciplinary sarcoma tumor board (including sarcoma, gynecological, digestive, skin and bone tumor board). CRA will regularly contact laboratories and hospitals (within a three months window) to identify newly diagnosed sarcoma cases and to collect associated reports. The CRA will retrieve the clinical file in order to check inclusion and non inclusion criteria and to collect names and addresses of eligible patients and their physicians. Then, the CRA will contact the case's physicians in order to gather their clinical advice to include their patients in the study. In case of agreement, the CRA will contact the patients and ask them to participate. In case of oral agreement, he/she will arrange an interview to collect written consent and administer detailed questionnaire.
In Rhône and Val de Marne where no general cancer registry exists, the process of identifying incident sarcoma patients will largely rely on the existence of a RRePS/ResOS/NetSarc coordination center to facilitate the identification of new cases.
Regardless of the district, the diagnosis of all included cases will be systematically ascertained by an expert pathologist within the RRePS and ResOs networks following a standard procedure.
On a regular basis (at least once a month), the list of incident cases included in the RRePS/ResOS/NetSarc networks will be extracted from the shared databases. The list of cases identified by registries will be merged with the list of cases included in the RRePS/ResOS/NetSarc networks by the pathology sample reference number in order to collect diagnosis confirmation and to identify new but missed incident cases.
Controls selection
The selection of controls and the recruitment of cases will take place simultaneously. Every time a case will be diagnosed and identified, two controls will be randomly selected at that time from the electoral rolls of the same district as the case district of residence. For each case, a list of 20 potential controls with the same age (within a 5-year age group) and sex as the cases will be constituted in order to account for potential refusal. Calls to contact potential controls will be centralized and will be made by an investigator specifically trained to better understand the objectives of the study. First, this investigator will try to retrieve the phone number of the first potential control on the list and will contact him/her in order to gather his/her agreement to participate in this study. After five calls made at different schedules (e.g. in the evening on weekdays), if the potential control couldn't be reached, the investigator will send an information letter containing a reply coupon indicating phone number and schedule at which the person could be reach. If the reply coupon is not returned, or after 10 calls made at the phone number and the schedule indicated on the reply coupon, the first potential control will be considered as unreachable and then, the same procedure will be applied for the second potential controls on the list and so on until two controls per case agreed to participate to the study.
For each control agreeing to participate, an appointment will be made to collect written consent and to administer detailed questionnaire by a CRA.
All participants will give their informed written consent to participation, in line with French ethical guidelines.
Data collection
Data will be collected from self-questionnaire supplemented by a specific questionnaire. The self-questionnaire will permit to gather the complete occupational history (for each job held for at least 6 months) and residential history (for each place occupied for at least 6 months). During a face-to-face interview, the trained interviewer will check (complete if necessary) and supplement the self-administered questionnaire by a specific questionnaire with questions about demographic and socioeconomic characteristics, occupations of spouse and parents, leisure-time activities, reproduction, medical history, family history of cancer, diet, lifestyle factors such as tobacco smoking and alcohol consumption. The specific questionnaire will also collect additional occupational and residential information such as work tasks, work places, materials handled for each job held for at least 6 months and description of the environment of each residence places.
At the end of the interview, subjects (both cases and controls) will be invited to provide a saliva sample in order to obtain germline DNA.
In case of refusal to participate and if the subject agreed, data on demographic and socioeconomic characteristics will be collected in order to assess the potential selection bias that might occur due to the specific profile of non-respondent subjects.
Biological sampling and storage
Each participant will be asked to provide a salivary sample in order to obtain germline DNA. Salivary samples will be collected by the subjects themselves under instructions from the CRA, using DNA Genotek Oragene 575 collection kit. After collection, samples will be sent at the Biological Resources Center of the Bordeaux hospital university center "Bordeaux Biothèque Santé" for storage.
Determination of the sample size
Since our definition of environmental exposures is very broad, the sample size calculation has been based on various scenarios of exposure prevalence, from 5% (relevant for domestic, environmental but also some occupational exposures such as farmer in the general population) to 20% (relevant for some occupational exposures such as fibers). For a total sample size of 2000 cases and a 1:2 individually-matched design, considering a statistical power of 80% at a significance level of 5%, the minimum detectable odds ratio will be 1.39 and 1.21 under a exposure prevalence of 5% and 20%, respectively. Considering sub-types analyses, the four main histological types are GIST, liposarcoma, leiomyosarcoma and unclassified sarcoma, which account for 18%, 15%, 11% and 16% of sarcomas, respectively. Considering a sample size of 300 cases, the minimum detectable odds ratio will be 2.21 and 1.61 under an exposure prevalence of 5% and 20%, respectively. Typically in environmental epidemiology, the relative increases in disease risks due to environmental exposures are usually low around 1.5, thus, it is essential to recruit a minimum of 2000 cases in order to be able to perform sub-type analyses.
Statistical analysis
Relationship between case/control status and each exposure variable and 95% confidence intervals will be individually estimated using conditional logistic regression models. If necessary, a multilevel logistic model will be implemented in order to take into account the data variability due to the multicenter design and the various CRA that will administer the questionnaires.
Stratified histological sub-types analyses are also planned. Moreover, since sarcomas may be classified into four groups on a molecular basis (i.e. sarcomas with recurrent translocation, sarcomas with specific activating or inactivating mutations, sarcomas with MDM2 amplifications, and sarcomas with a complex genomic profile), the feasibility of classifying sarcomas by genetic types instead of by histological subtypes for the objective of identifying environmental risk factors will be explore. The underlying hypothesis is that the aetiology among these four molecular groups may be homogeneous.
Methods for coordinating the project and for quality control
This study is organized around three different centers or committees: a national coordination center, a steering committee, and local centers.
The national coordination center will be in charge of running routine operations, assisting participating local centers, guaranteeing the quality of the data collection, centralizing data, supervising the data coding and exposure assessment.
The steering committee's principal role will be to establish research priorities based on the availability of the data and the current scientific knowledge.
Local centers will be in charge of determining identification sources of cases in their districts and of collecting data. They will also transmit the collected data to the national coordination center.
Standardized procedures are written in a procedure manual to guarantee the quality of the collected data. Besides, a completion guide of the standardized questionnaire has been developed to assist CRA during interviews. A data manager will ensure that the study is conducted in compliance with the protocol. On a regular basis and as frequently as necessary, he/she will assess the quality of the collected data using several indicators: the average time spent by the CRA at the subject's home, the degree of completeness of the questionnaires by CRA, the ratio of included cases to expected cases, the average elapsed time between the identification of a case and the interview, the average elapsed time between case and control interviews, etc.
All collected data will be centralized in a single location, the University of Bordeaux (CREDIM, centre de Recherche et de Développement en Informatique Médicale).
