Identification of women at risk of hereditary breast-ovarian cancer among participants in a population-based breast cancer screening.

Women attending mammography screening may benefit from family history (FH) assessment for the identification of Hereditary Breast Ovarian Cancer (HBOC). Few studies explored the efficacy of tailored educational interventions in driving the attention on FH-associated risk among these women. To compare the efficacy of two educational tools in increasing attention towards FH, 6.802 women with a negative mammography were randomized to receive a note on FH of breast/ovarian cancer (letter A, n = 3.402) or a note with details on possible implication of FH patterns (letter B, n = 3.200). Upon women's request, a brief questionnaire was administered on phone at the Screening Unit (S.U.) to select those eligible for an in-depth FH evaluation at the Genetic Unit (G.U.). Each affected relative was scored 1-3 according to type of cancer, age at diagnosis, gender, position in the family tree. In all, 401 women contacted the S.U.: 244 (6.6%) in group A and 177 (5.2%) in group B (adjOR 1.27; 95%CI 1.03-1.56). FH scored ≥ 3 for 164 women: 177 (47.5%) in group B and 224 (35.7%) in group A, (adjOR 1.59, 95%CI 1.06-2.38). The G.U. traced and interviewed 148 women, 65 (43.9%) were offered an in-person consultation: 38 attended and 30 were eligible for testing. A test was performed for 24 women: no BRCA pathogenic variant was found. Among mammographic screening attendees, educational material with a simple description of FH may improve self-referral of women deserving an in-depth evaluation for HBOC identification. Additional educational efforts are needed to enhance the efficiency of the intervention.

Quartz-Crystal Microbalance (QCM) for Public Health: An Overview of Its Applications.

Nanobiotechnologies, from the convergence of nanotechnology and molecular biology and postgenomics medicine, play a major role in the field of public health. This overview summarizes the potentiality of piezoelectric sensors, and in particular, of quartz-crystal microbalance (QCM), a physical nanogram-sensitive device. QCM enables the rapid, real time, on-site detection of pathogens with an enormous burden in public health, such as influenza and other respiratory viruses, hepatitis B virus (HBV), and drug-resistant bacteria, among others. Further, it allows to detect food allergens, food-borne pathogens, such as Escherichia coli and Salmonella typhimurium, and food chemical contaminants, as well as water-borne microorganisms and environmental contaminants. Moreover, QCM holds promises in early cancer detection and screening of new antiblastic drugs. Applications for monitoring biohazards, for assuring homeland security, and preventing bioterrorism are also discussed.

Human Papillomavirus Vaccine: State of the Art and Future Perspectives.

Human Papillomavirus (HPV) is a widely distributed and common virus, that causes benign lesions (such as warts and papillomas) but, if not cleared, can lead to malignant lesions as well, such as intraepithelial lesions and neoplasia. An extensive body of researches has demonstrated that E1 and E2 are involved in viral transcription and replication, E5, E6, and E7 act as oncoproteins, whilst L1 and L2 contribute to the formation of the capsid. However, this view has been recently challenged, since also E2 could play a role in HPV-induced carcinogenesis. Therefore, a complex picture is emerging, opening new ways and perspectives. The present article provides an overview of the biology of HPV, paying particular attention to its structural details and molecular mechanisms. The article also shows how this knowledge has been exploited for developing effective vaccines, both prophilactic/preventive and therapeutic ones. L1-based prophylactic vaccines, like Gardasil, Cervarix, and Gardasil 9, have been already licensed, whilst L2-based second generation preventive vaccines are still under clinical trials. New, highly immunogenic and effective vaccines can be further developed thanks to computer-aided design and bioinformatics/computational biology. The optimization of combinational therapies is another promising opportunity.