Multiple Myeloma Consortium Study of Occupational Exposures and Family History

描述（由申请人提供）：在某些职业和一般环境中，溶剂暴露是普遍存在的。迫切需要对包括三氯乙烯（TCE）和苯在内的可疑和已知致癌物的癌症风险进行量化的数据，特别是对描述不太清楚或其相关性存在争议的癌症部位。有研究表明，这些和其他溶剂可能会增加多发性骨髓瘤（MM）的风险；然而，由于这种疾病的罕见性，个体的、基于区域的MM流行病学研究受到严重限制，阻碍了有信心地描述这些关联的能力。需要更多的数据来研究职业性溶剂暴露，特别是描述不同暴露强度水平或持续时间增加的风险。通过结合现有MM流行病学数据资源进行协作再分析的有效方法，我们将汇集参与国际多发性骨髓瘤联盟（IMMC）的13项病例对照研究的数据，以进行迄今为止最有力的职业性溶剂暴露相关风险研究。参与IMMC的已完成的研究包括3600多例病例和12000例对照，问卷数据包括职业（例如，职位/行业），有或没有附加的问题

DESCRIPTION (provided by applicant): Exposure to solvents is widespread, both in certain occupations and in the general environment. There is a strong need for data quantifying cancer risks for suspected and known carcinogens, including trichcloroethylene (TCE) and benzene, particularly for cancer sites that are less well-described or for which the association is controversial. There are studies suggesting that these and other solvents may increase the risk of multiple myeloma (MM); however, individual, regionally-based epidemiologic studies of MM have been severely limited by the disease's rarity, hindering the ability to describe these associations with confidence. Much larger numbers are needed to study occupational solvent exposures, particularly to characterize risks across varying exposure intensity levels or with increasing duration. With an efficient approach of combining existing MM epidemiologic data resources for collaborative reanalyses, we will pool data from 13 case-control studies participating in the International Multiple Myeloma Consortium (IMMC) to conduct the most powerful study to date of risks associated with occupational solvent exposures. Completed studies participating in the IMMC include over 3600 cases and 12,000 controls with questionnaire data on occupation (e.g., job title/industry with- or without additional questions on tasks and exposures), and based on these data we will assess exposure to five specific solvents of particular interest: trichloroethylene (TCE), perchloroethylene (PCE), benzene, toluene, and xylene. Family history of lymphohematopoietic cancers is also important to harmonize across IMMC studies as it is a likely risk factor for MM and therefore a critical factor to consider as a potential confounder or effect modifier (as an indicator of inherited susceptibiliy to develop MM) of occupational or other exposures. For example, we will explore interactions between occupational solvent exposures and family history of these cancers in development of MM, an interaction that has been suggested for non-Hodgkin lymphoma, and which may indicate an interaction between genetic variants and solvent exposure in lymphoma etiology. The IMMC is the best (and perhaps the only) current setting to address our study aims, not only because of the study size, but because the participating case-control studies collected occupational and family histories with a level of detail that isn't matched in typical cohort studis. Our effort in coding and harmonizing variables across participating studies will develop a valuable resource for future consortium studies of other occupational exposures, genetic variants associated with familial- versus non- familial MM, and gene-environment interactions.