Objectives Several agricultural pesticides have shown a carcinogenic potential in experimental animals. Methods In 1998-2003, 2337 incident lymphoma cases and 2434 controls participated in the EPILYMPH case-control study in six European countries. A detailed occupational history was collected in cases and controls. Specifi c questions for farm workers included type of crop, farm size, pests being treated, type and schedule of pesticide use. We conducted a preliminary analysis of risk of lymphoma and its major subtypes associated with occupational exposure to groups of pesticides. The OR and its 95% CI was calculated with unconditional logistic regression for all lymphomas, and its major subtypes, adjusting by age, gender, and education. Results Lymphoma risk did not increase among those exposed to inorganic (OR = 1.3, 95% CI 0.9 to 1.7) or organic pesticides (OR = 1.1, 95% CI 0.9 to 1.4). Risk of CLL was signifi cantly increased among those exposed to pesticides (OR = 1.5 95% CI 1.0 to 2.2), and particularly to organophosphates (OR = 2.2, 95% CI 1.1 to 4.4). No other signifi cant associations were observed. Conclusions Our results confi rm previous reports of an increase in risk of specifi c lymphoma subtypes associated with exposure to specifi c agrochemicals.

Background: Benzene is an established leukemogen at high exposure levels. Although low-level benzene exposure is widespread and may induce oxidative damage, no mechanistic biomarkers are available to detect biological dysfunction at low doses.Objectives: Our goals were to determine in a large multicenter cross-sectional study whether low-level benzene is associated with increased blood mitochondrial DNA copy number (mtDNAcn, a biological oxidative response to mitochondrial DNA damage and dysfunction) and to explore potential links between mtDNAcn and leukemia-related epigenetic markers.Methods: We measured blood relative mtDNAcn by real-time polymerase chain reaction in 341 individuals selected from various occupational groups with low-level benzene exposures (> 100 times lower than the Occupational Safety and Health Administration/European Union standards) and 178 referents from three Italian cities (Genoa, Milan, Cagliari).Results: In each city, benzene-exposed participants showed higher mtDNAcn than referents: mtDNAcn was 0.90 relative units in Genoa bus drivers and 0.75 in referents (p = 0.019); 0.90 in Milan gas station attendants, 1.10 in police officers, and 0.75 in referents (p-trend = 0.008); 1.63 in Cagliari petrochemical plant workers, 1.25 in referents close to the plant, and 0.90 in referents farther from the plant (p-trend = 0.046). Using covariate-adjusted regression models, we estimated that an interquartile range increase in personal airborne benzene was associated with percent increases in mtDNAcn equal to 10.5% in Genoa (p = 0.014), 8.2% (p = 0.008) in Milan, 7.5% in Cagliari (p = 0.22), and 10.3% in all cities combined (p < 0.001). Using methylation data available for the Milan participants, we found that mtDNAcn was associated with LINE-1 hypomethylation (–2.41%; p = 0.007) and p15 hypermethylation (+15.95%, p = 0.008).Conclusions: Blood MtDNAcn was increased in persons exposed to low benzene levels, potentially reflecting mitochondrial DNA damage and dysfunction.

Background Clustered protocadherins ( PCDHs ) map in tandem at human chromosome 5q31 and comprise three multi-genes clusters: α-, β- and γ- PCDH . The expression of this cluster consists of a complex mechanism involving DNA hub formation through DNA-CCTC binding factor (CTCF) interaction. Methylation alterations can affect this interaction, leading to transcriptional dysregulation. In cancer, clustered PCDH s undergo a mechanism of long-range epigenetic silencing by hypermethylation. Results In this study, we detected frequent methylation alterations at CpG islands associated to these clustered PCDHs in all the solid tumours analysed (colorectal, gastric and biliary tract cancers, pilocytic astrocytoma), but not hematologic neoplasms such as chronic lymphocytic leukemia. Importantly, several altered CpG islands were associated with CTCF binding sites. Interestingly, our analysis revealed a hypomethylation event in pilocytic astrocytoma, suggesting that in neuronal tissue, where PCDH s are highly expressed, these genes become hypomethylated in this type of cancer. On the other hand, in tissues where PCDH s are lowly expressed, these CpG islands are targeted by DNA methylation. In fact, PCDH -associated CpG islands resulted hypermethylated in gastrointestinal tumours. Conclusions Our study highlighted a strong alteration of the clustered PCDHs methylation pattern in the analysed solid cancers and suggested these methylation aberrations in the CpG islands associated with PCDH genes as powerful diagnostic biomarkers. Electronic supplementary material The online version of this article (10.1186/s13148-019-0695-0) contains supplementary material, which is available to authorized users.

Lymphoma defines a group of different diseases. This study examined pre-treatment plasma samples from 66 adult patients (aged 20–74) newly diagnosed with any lymphoma subtype, and 96 frequency matched population controls. We used gas chromatography-mass spectrometry (GC-MS) to compare the metabolic profile by case/control status and across the major lymphoma subtypes. We conducted univariate and multivariate analyses, and partial least square discriminant analysis (PLS-DA). When compared to the controls, statistically validated models were obtained for diffuse large B-cell lymphoma (DLBCL), chronic lymphocytic leukemia (CLL), multiple myeloma (MM), and Hodgkin lymphoma (HL), but not follicular lymphoma (FL). The metabolomic analysis highlighted interesting differences between lymphoma patients and population controls, allowing the discrimination between pathologic and healthy subjects: Important metabolites, such as hypoxanthine and elaidic acid, were more abundant in all lymphoma subtypes. The small sample size of the individual lymphoma subtypes prevented obtaining PLS-DA validated models, although specific peculiar features of each subtype were observed; for instance, fatty acids were most represented in MM and HL patients, while 2-aminoadipic acid, 2-aminoheptanedioic acid, erythritol, and threitol characterized DLBCL and CLL. Metabolomic analysis was able to highlight interesting differences between lymphoma patients and population controls, allowing the discrimination between pathologic and healthy subjects. Further studies are warranted to understand whether the peculiar metabolic patterns observed might serve as early biomarkers of lymphoma.

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