Patterns of surgical treatment of breast cancer in Victoria

We analysed data on admissions to Victorian public hospitals for surgical treatment of breast cancer over the period July 1985 to December 1988. Of the 2993 women admitted, 28.7% received breast-preserving surgery. The probability of a woman being treated conservatively was dependent on age, with women aged less than 50 or more than 70 years more likely to receive breast-preserving surgery than women aged 50-69. There was an age-specific change, of marginal statistical significance, in the proportion of women receiving breast-preserving surgery over the period. The public hospitals admissions database is a potentially useful means of monitoring patterns of surgical treatment.

Coassembled nanostructured bioscaffold reduces the expression of proinflammatory cytokines to induce apoptosis in epithelial cancer cells

The local inflammatory environment of the cell promotes the growth of epithelial cancers. Therefore, controlling inflammation locally using a material in a sustained, non-steroidal fashion can effectively kill malignant cells without significant damage to surrounding healthy cells. A promising class of materials for such applications are the nanostructured scaffolds formed by epitope containing minimalist self-assembled peptides (SAPs), as they are bioactive on a cellular length scale, whilst presenting as an easily handled hydrogel. Here, we show that the assembly process distributes an anti-inflammatory polysaccharide, fuccoidan, localised to the nanofibers to function as an anti-inflammatory biomaterial for cancer therapy. We show that it supports healthy cells, whilst inducing apoptosis in cancerous endothelial cells, as demonstrated by the downregulation of the proinflammatory gene and protein expression pathways associated with epithelial cancer progression. Our findings highlight an innovative material approach with potential applications as local epithelial cancer immunotherapy and drug delivery vehicles.

The efficacy of a clinician referral and 12 week physical activity program among men living with prostate cancer: a multicentre cluster randomised controlled trial

BACKGROUND : The purpose of this study was to determine the efficacy of a clinician referral and exercise program in improving exercise levels and quality of life for men with prostate cancer.

METHODS : This was a multicenter cluster randomized controlled trial in Melbourne, Australia comprising 15 clinicians: 8 clinicians were randomized to refer eligible participants (n = 54) to a 12-week exercise program comprising 2 supervised gym sessions and 1 home-based session per week, and 7 clinicians were randomized to follow usual care (n = 93). The primary outcome was self-reported physical activity; the secondary outcomes were quality of life, anxiety, and symptoms of depression.

RESULTS : A significant intervention effect was observed for vigorous-intensity exercise (effect size: Cohen's d, 0.46; 95% confidence interval [CI], 0.09-0.82; P = .010) but not for combined moderate and vigorous exercise levels (effect size: d, 0.08; 95% CI, −0.28 to 0.45; P = .48). Significant intervention effects were also observed for meeting exercise guidelines (≥150 min/wk; odds ratio, 3.9; 95% CI, 1.9-7.8; P = .002); positive intervention effects were observed in the intervention group for cognitive functioning (effect size: d, 0.34; 95% CI, −0.02 to 0.70; P = .06) and depression symptoms (effect size: d, −0.35; 95% CI, −0.71 to 0.02; P = .06). Eighty percent of participants reported that the clinician's referral influenced their decision to participate in the exercise program.

CONCLUSIONS : The clinician referral and 12-week exercise program significantly improved vigorous exercise levels and had a positive impact on mental health outcomes for men living with prostate cancer. Further research is needed to determine the sustainability of the exercise program and its generalizability to other cancer populations.

A discrete choice experiment to examine the preferences of patients with cancer and their willingness to pay for different types of health care appointments

BACKGROUND: This study sought to understand the preferences of patients with cancer and the trade-offs between appointment attributes using discrete choice experiment (DCE). METHODS AND STUDY DESIGN: Patients with cancer at 3 hospitals completed a self-administered DCE. Each scenario described 6 attributes: expertise of health care professionals (HCPs), familiarity of doctors with patients' medical history, waiting time, accompaniment by family/friends, travel time, and out-of-pocket costs. Patient preferences were estimated using logistic regression. Willingness to pay (WTP) estimates were derived from regression coefficients. RESULTS: Of 512 patients contacted, 185 returned the questionnaire. The mean age was 61 years, and 60% of respondents were female. The mean time since cancer diagnosis was 34 months, 90% had received treatment; and 61% had early-stage disease. The most important attributes were expertise and familiarity of doctors with patients' medical history; distance traveled was least likely to influence patient preferences. The WTP analysis estimated that patients were willing to pay $680 (95% CI, 470-891) for an appointment with a specialist, $571 (95% CI, 388-754) for doctors familiar with their history, $422 (95% CI, 262-582) for shorter waiting times, $399 (95% CI, 249-549) to be accompanied by family/friends, and $301 (95% CI, 162-441) for shorter traveling times. Male patients had a stronger preference for accompaniment by family/friends. The expertise of HCP was the most important attribute for patients regardless of geographic remoteness. CONCLUSIONS: Our study can assist the development of patient-centered health care models that improve patient access to experienced HCPs, support the role of primary care providers during the cancer journey, and educate patients about the roles of non-oncology HCPs to cope with increasing demand for cancer care.

Cancer diagnosed in the emergency department of a regional health service

OBJECTIVE: Patients diagnosed with cancer in the Emergency Department (ED) have more advanced disease at diagnosis and poorer outcomes. High rates of initial presentation to ED suggest potential problems with access to care. The aim of this project was to interpret findings in regional/rural Victoria and explore implications for practice.

DESIGN: Cross-sectional study linking two independent data sets.

SETTING: Regional city of Geelong and surrounding rural areas in south-west Victoria.

PARTICIPANTS: All newly diagnosed cancer patients in 2009.

MAIN OUTCOME MEASURES: Number of cancer patients diagnosed in the ED.

RESULTS: One in five newly diagnosed cancer patients present to ED 6 months prior to cancer diagnosis. One in 10 is diagnosed as a result of their ED visit. Patients presenting to ED were older, more often men and from disadvantaged areas. Symptoms on presentation included chest complaints, bowel obstruction, abdominal pain, anaemia and generalised weakness. Cancer diagnosed in the ED is associated with advanced stage and shorter survival.

CONCLUSION: Reasons for presentation to ED would be multifactorial and include complex cases with coexisting symptoms making diagnosis difficult. The general public appear to have a low level of awareness of alternative primary care services or difficulty accessing such information. Some of the changes towards reducing the number of patients presenting to ED will include patient education.

A critical analysis of screening for skin cancer: participation among older males

 This thesis was a critical examination of participation in skin cancer screening for men over the age of 50 years. This research explored subjective experiences of skin cancer screening, participation in the process, perceptions of skin cancer and factors that influence men’s willingness to undergo skin cancer screening.

Mass spectrometry-based proteomic data for cancer diagnosis using interval type-2 fuzzy system

An interval type-2 fuzzy logic system is introduced for cancer diagnosis using mass spectrometry-based proteomic data. The fuzzy system is incorporated with a feature extraction procedure that combines wavelet transform and Wilcoxon ranking test. The proposed feature extraction generates feature sets that serve as inputs to the type-2 fuzzy classifier. Uncertainty, noise and outliers that are common in the proteomic data motivate the use of type-2 fuzzy system. Tabu search is applied for structure learning of the fuzzy classifier. Experiments are performed using two benchmark proteomic datasets for the prediction of ovarian and pancreatic cancer. The dominance of the suggested feature extraction as well as type-2 fuzzy classifier against their competing methods is showcased through experimental results. The proposed approach therefore is helpful to clinicians and practitioners as it can be implemented as a medical decision support system in practice.