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Epidemiology and policy
P1-311 Lymphohematopoietic cancers and benzene: a pooled analysis of petroleum workers
  1. L Rushton1,
  2. D Glass2,
  3. R Schnatter3,
  4. G Tang4
  1. 1Imperial College London, London, UK
  2. 2Monash University, Melbourne, Australia
  3. 3ExxonMobil Biomedical Sciences, Inc, New Jersey, USA
  4. 4University of Pittsburgh, Pennsylvania, USA


Introduction There are few quantitative studies on the effect of relatively low benzene concentrations on risks of specific lymphohematopoietic cancer subtypes. Three nested case-control studies among petroleum workers in Australia, Canada and the UK have been updated and pooled to provide greater precision.

Methods To improve disease subtype classification, pathology records were obtained; two pathologists reviewed these and classified every case according to traditional and WHO classification schemes. Quantitative exposure estimates were also compared across studies to ensure that any differences in these estimates were justified. Statistical analyses employed conditional logistic regression models with flexible penalised cubic regression spline components.

Results Updates identified 170 additional cases giving a total of 370, sufficient for separate analyses by leukaemia subtypes, myelodysplastic syndrome (MDS), and myeloproliferative disease (MPD). Review of source records by pathologists resulted in changes to the underlying disease subtypes for certain leukaemia cases; pre-existing diseases such as MDS were identified; secondary polycythaemia cases were identified and excluded. Risks for acute myeloid leukaemia (AML) tended to increase as categorical benzene exposure increased when pooling the original data from the previously published studies using both the original and revised exposure assessment. Dose-response results from the updated pooled data for MDS, MPD, AML and chronic myeloid leukaemia, and chronic lymphoid leukaemia will be presented from the updated dataset.

Conclusions This pooled study benefited from careful reconsideration of benzene exposure estimates and disease classification procedures, improving the precision of risk estimates of benzene exposure for leukaemia and other disease subtypes.

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