HPV Self-Sampling for Cervical Cancer Screening in Under-Screened Saskatchewan Populations: A Pilot Study.

Of all cancers in female Canadians, the most rapidly increasing incidence is that of cervical cancer. The objective of this pilot study was to assess how HPV self-sampling might improve cervical cancer screening participation in both urban and rural settings in Saskatchewan, one of the most sparsely populated provinces in Canada. Study groups consisted of n = 250 participants to whom self-swabbing kits were mailed with instructions and n = 250 participants to whom kits were handed out in 6 urban and rural clinics. The inclusion criteria selected subjects aged 30-69 years who were Saskatchewan residents for at least 5 years with valid health coverage, had a cervix, and had no record of cervical cancer screening in 4 years. The returned samples were analyzed for specific HPV strains using the Roche Molecular Diagnostics Cobas 4800® System. The overall response rate was ~16%, with the response to the handout distribution being roughly double that of the mailout. While HPV positivity did not differ across the distribution groups, participants at a specific inner-city clinic reported significantly higher positivity to at least one HPV strain as compared to any other clinic and all mailouts combined. For this high-risk population, in-person handout of self-sampling kits may be the most effective means of improving screening.

Comparison of the Quality of Life of Patients with Breast or Colon Cancer with an Arm Vein Port (TIVAD) Versus a Peripherally Inserted Central Catheter (PICC).

INTRODUCTION: Venous access is a crucial element in chemotherapy delivery. It remains unclear whether cancer patients prefer a port to a peripherally inserted central catheter (PICC). Our study aimed to assess cancer patients' satisfaction with their venous access device and to compare the quality of life (QoL) of subjects with a PICC to those with a port. METHODS: In this prospective cohort study, EORTC QLQ-C30, and a locally developed quality of life survey (QLAVD), designed to assess satisfaction with venous access devices, were administered to breast or colorectal cancer patients over a one-year period following the device insertion. Mixed effects models were used to assess changes on mean scores at different time points. RESULTS: A total of 101 patients were recruited over a three-year period, (PICC group, n = 50; port group, n = 51). Survey response rates for months one and three were 72% and 48%, respectively. Overall, no significant differences were noted between the two groups in relation to EORTC QOL. At three months, the mean pain scores were 3.5 ± 2.3 for the port and 1.3 ± 0.75 for PICC (<0.001). The mean score for a negative effect of the venous access device on psychosocial well-being was 6.0 ± 4.1 for PICC and 3.0 ± 2.7 for the port (p = 0.005). Complications related to PICCs occurred in 38% patients versus 41% with a port (p > 0.24). CONCLUSIONS: Although subjects with a port experienced more pain during the device insertion or access for chemotherapy, it had a smaller negative impact on psychosocial scores than the PICC. No significant differences in complications rates were observed between the two devices.

Mining the plasma-proteome associated genes in patients with gastro-esophageal cancers for biomarker discovery.

Gastro-esophageal (GE) cancers are one of the major causes of cancer-related death in the world. There is a need for novel biomarkers in the management of GE cancers, to yield predictive response to the available therapies. Our study aims to identify leading genes that are differentially regulated in patients with these cancers. We explored the expression data for those genes whose protein products can be detected in the plasma using the Cancer Genome Atlas to identify leading genes that are differentially regulated in patients with GE cancers. Our work predicted several candidates as potential biomarkers for distinct stages of GE cancers, including previously identified CST1, INHBA, STMN1, whose expression correlated with cancer recurrence, or resistance to adjuvant therapies or surgery. To define the predictive accuracy of these genes as possible biomarkers, we constructed a co-expression network and performed complex network analysis to measure the importance of the genes in terms of a ratio of closeness centrality (RCC). Furthermore, to measure the significance of these differentially regulated genes, we constructed an SVM classifier using machine learning approach and verified these genes by using receiver operator characteristic (ROC) curve as an evaluation metric. The area under the curve measure was > 0.9 for both the overexpressed and downregulated genes suggesting the potential use and reliability of these candidates as biomarkers. In summary, we identified leading differentially expressed genes in GE cancers that can be detected in the plasma proteome. These genes have potential to become diagnostic and therapeutic biomarkers for early detection of cancer, recurrence following surgery and for development of targeted treatment.