Remarkable change in age-specific breast cancer incidence in the Swiss canton of Geneva and its possible relation with the use of hormone replacement therapy

BACKGROUND: This article aims to explain the reasons for the remarkable change in age of breast cancer occurrence in the Swiss canton of Geneva. METHODS: We used population-based data from the Geneva cancer registry, which collects information on method of detection, stage and tumour characteristics since 1975. For patients diagnosed between 1997–2003, we obtained additional information on use of hormone replacement therapy from a large prospective study on breast cancer. Using generalized log linear regression analysis, we compared age-specific incidence rates with respect to period, stage, oestrogen receptor status, method of detection and use of hormone replacement therapy. RESULTS: In the periods 1975–1979 and 1985–1989, breast cancer risk increased with age, showing the highest incidence rates among women aged ≥ 85 years. From 1997, the age-specific incidence curve changed completely (p < 0.0001), showing an incidence peak at 60–64 years and a reduced incidence among elderly women. This incidence peak concerned mainly early stage and oestrogen positive cancers and was exclusively observed among women who ever used hormone replacement therapy, regardless whether the tumour was screen-detected or not. CONCLUSION: The increasing prevalence of hormone replacement therapy use during the 1990s could explain the important change in age-specific breast cancer incidence, not only by increasing breast cancer risk, but also by revealing breast cancer at an earlier age

Development of a rapid, sensitive, and field-deployable Razor Ex BioDetection system and quantitative PCR assay for detection of Phymatotrichopsis omnivora using multiple gene targets

A validated, multigene-based method using real-time quantitative PCR (qPCR) and the Razor Ex BioDetection system was developed for detection of Phymatotrichopsis omnivora. This soilborne fungus causes Phymatotrichopsis root rot of cotton, alfalfa, and other dicot crops in the southwestern United States and northern Mexico, leading to significant crop losses and limiting the range of crops that can be grown in soils where the fungus is established. It is on multiple lists of regulated organisms. Because P. omnivora is difficult to isolate, accurate and sensitive culture-independent diagnostic tools are needed to confirm infections by this fungus. Specific PCR primers and probes were designed based on P. omnivora nucleotide sequences of the genes encoding rRNA internal transcribed spacers, beta-tubulin, and the second-largest subunit of RNA polymerase II (RPB2). PCR products were cloned and sequenced to confirm their identity. All primer sets allowed early detection of P. omnivora in infected but asymptomatic plants. A modified rapid DNA purification method, which facilitates a quick (about 30-min) on-site assay capability for P. omnivora detection, was developed. Combined use of three target genes increased the assay accuracy and broadened the range of detection. To our knowledge, this is the first report of a multigene-based, field-deployable, rapid, and reliable identification method for a fungal plant pathogen and should serve as a model for the development of field-deployable assays of other phytopathogens.Peer reviewedEntomology and Plant PathologyBiochemistry and Molecular Biolog

Population Genomic Analysis of a Bacterial Plant Pathogen: Novel Insight into the Origin of Pierce's Disease of Grapevine in the U.S.

Invasive diseases present an increasing problem worldwide; however, genomic techniques are now available to investigate the timing and geographical origin of such introductions. We employed genomic techniques to demonstrate that the bacterial pathogen causing Pierce's disease of grapevine (PD) is not native to the US as previously assumed, but descended from a single genotype introduced from Central America. PD has posed a serious threat to the US wine industry ever since its first outbreak in Anaheim, California in the 1880s and continues to inhibit grape cultivation in a large area of the country. It is caused by infection of xylem vessels by the bacterium Xylella fastidiosa subsp. fastidiosa, a genetically distinct subspecies at least 15,000 years old. We present five independent kinds of evidence that strongly support our invasion hypothesis: 1) a genome-wide lack of genetic variability in X. fastidiosa subsp. fastidiosa found in the US, consistent with a recent common ancestor; 2) evidence for historical allopatry of the North American subspecies X. fastidiosa subsp. multiplex and X. fastidiosa subsp. fastidiosa; 3) evidence that X. fastidiosa subsp. fastidiosa evolved in a more tropical climate than X. fastidiosa subsp. multiplex; 4) much greater genetic variability in the proposed source population in Central America, variation within which the US genotypes are phylogenetically nested; and 5) the circumstantial evidence of importation of known hosts (coffee plants) from Central America directly into southern California just prior to the first known outbreak of the disease. The lack of genetic variation in X. fastidiosa subsp. fastidiosa in the US suggests that preventing additional introductions is important since new genetic variation may undermine PD control measures, or may lead to infection of other crop plants through the creation of novel genotypes via inter-subspecific recombination. In general, geographically mixing of previously isolated subspecies should be avoided

Classification of Plant Associated Bacteria Using RIF, a Computationally Derived DNA Marker

A DNA marker that distinguishes plant associated bacteria at the species level and below was derived by comparing six sequenced genomes of Xanthomonas, a genus that contains many important phytopathogens. This DNA marker comprises a portion of the dnaA replication initiation factor (RIF). Unlike the rRNA genes, dnaA is a single copy gene in the vast majority of sequenced bacterial genomes, and amplification of RIF requires genus-specific primers. In silico analysis revealed that RIF has equal or greater ability to differentiate closely related species of Xanthomonas than the widely used ribosomal intergenic spacer region (ITS). Furthermore, in a set of 263 Xanthomonas, Ralstonia and Clavibacter strains, the RIF marker was directly sequenced in both directions with a success rate approximately 16% higher than that for ITS. RIF frameworks for Xanthomonas, Ralstonia and Clavibacter were constructed using 682 reference strains representing different species, subspecies, pathovars, races, hosts and geographic regions, and contain a total of 109 different RIF sequences. RIF sequences showed subspecific groupings but did not place strains of X. campestris or X. axonopodis into currently named pathovars nor R. solanacearum strains into their respective races, confirming previous conclusions that pathovar and race designations do not necessarily reflect genetic relationships. The RIF marker also was sequenced for 24 reference strains from three genera in the Enterobacteriaceae: Pectobacterium, Pantoea and Dickeya. RIF sequences of 70 previously uncharacterized strains of Ralstonia, Clavibacter, Pectobacterium and Dickeya matched, or were similar to, those of known reference strains, illustrating the utility of the frameworks to classify bacteria below the species level and rapidly match unknown isolates to reference strains. The RIF sequence frameworks are available at the online RIF database, RIFdb, and can be queried for diagnostic purposes with RIF sequences obtained from unknown strains in both chromatogram and FASTA format