Breast cancer in South Africa has become one of the most prominent cancers affecting women. Worldwide, breast cancer results in more deaths amongst women than any other cancer (Vorobiof, 2001). Chemotherapy has become one of the most effective and commonly used adjuvant forms of treatment in breast cancer. However, despite its effectiveness, it has a variety of side effects ranging from nausea, fatigue, vomiting, alopecia to many others. Due to the significant levels of discomfort and disability associated with chemotherapy, patients often seek additional treatment to assist with these side effects. Many individuals combine complementary and alternative therapies with conventional treatment of their cancer (Breasthealth, 2005). Homoeopathy is often used to alleviate the side-effects resulting from the chemotherapy treatments (Diamond and Crowden, 1997). This research involved the individualized treatment of patients experiencing side effects from chemotherapy, employing homeopathic medicine. The study involved ten participants who had been diagnosed with breast cancer and who were scheduled for at least four chemotherapy treatments. The participants did not receive any homoeopathic remedies to assist with the side effects following the first chemotherapy treatment. The results from the first chemotherapy treatment were utilized to establish each individual’s control results against which, future results would be compared. Participants received their homoeopathic similimum remedies to assist with their second, third and fourth chemotherapies. The appropriate homoeopathic remedy was determined using each patient’s distinguishing, mental, emotional and physical symptoms following each chemotherapy treatment. Each participant completed the Researcher’s Questionnaires (Appendix B) following their chemotherapy treatments and recorded the severity of their nausea, fatigue, vomiting and general symptoms experienced after each of the four chemotherapies. These were handed to the researcher at each follow-up consultation. These results, together with the holistic progress as noted by the researcher at every consultation, were used to determine the efficacy of homoeopathy on the side effects of chemotherapy treatment. This study aimed to reduce the severity and duration of side effects resulting from chemotherapy treatment using individual homoeopathic remedies prescribed. The severity of side effects was graded and monitored for each patient following each chemotherapy session. Of the ten participants involved in this study, eight participants completed all their scheduled chemotherapy sessions. Two of the participants completed only three chemotherapies as their conditions had improved drastically and were not compelled to complete their remaining chemotherapies. Compliance with the homoeopathic treatments was thus effectively 100%. The results of this study indicated that all of the participants reported a statistically significant decrease in side effects after taking the similimum homoeopathic remedies and they also experienced a shorter duration of side effects. All patients in this study were better able to cope with the side effects of chemotherapy whilst taking the similimum Homoeopathic remedies. / Dr. N. Wolf Dr. C.A. Benn Dr. K. Peck

Breast cancer is the most feared and common female malignancy in the world. About one in ten women in South Africa will be diagnosed during her lifetime with this disease. The outcome of breast cancer treatment is dependent on early detection and swift subsequent management. A lack of research exists in South Africa about diagnostic and treatment delay factors. A situational analysis is currently underway to improve the breast cancer service in the country. Even less is known about the delays in rural health care. This study examined the delay during the diagnosis and treatment of breast lumps in the Theewaterskloof (TWK) sub district in the Western Cape. The results were compared to Worcester hospital, the secondary referral centre of this district. Three hundred and twenty (322) patients from Caledon hospital and surrounding clinics in the TWK and 322 randomly selected patients from Worcester hospital surgical clinic, who presented during 2007-2010, were retrospectively studied. The mean breast lump diagnostic period at TWK was 45 days versus 16 days at Worcester. Breast cancer diagnostic times were 38 days and 19 days respectively. More alarming was the difference in breast surgery delay of 173 days versus 16 days at TWK Worcester hospital respectively. These time periods were compared to the tertiary institutions in the Western Cape and with international guidelines. Cytological adequacy i.e. Fine Needle Aspiration (FNA) and core needle biopsy between the institutions are also reported. In conclusion it is suggested that regular training in FNA is required to improve the cytological adequacy at TWK. Long delay in surgical waiting periods can be addressed by referring TWK breast cancer patients to Worcester hospital after diagnosis.

The self-organizing maps portraying has been proven to be a powerful approach for analysis of transcriptomic, genomic, epigenetic, single-cell, and pathway-level data as well as for “multi-omic” integrative analyses. However, the SOM method has a major disadvantage: it requires the retraining of the entire dataset once a new sample is added, which can be resource- and timedemanding. It also shifts the gene landscape, thus complicating the interpretation and comparison of results. To overcome this issue, we have developed two approaches of transfer learning that allow for extending SOM space with new samples, meanwhile preserving its intrinsic structure. The extension SOM (exSOM) approach is based on adding secondary data to the existing SOM space by “meta-gene adaptation”, while supervised SOM portrayal (supSOM) adds support vector machine regression model on top of the original SOM algorithm to “predict” the portrait of a new sample. Both methods have been shown to accurately combine existing and new data. With simulated data, exSOM outperforms supSOM for accuracy, while supSOM significantly reduces the computing time and outperforms exSOM for this parameter. Analysis of real datasets demonstrated the validity of the projection methods with independent datasets mapped on existing SOM space. Moreover, both methods well handle the projection of samples with new characteristics that were not present in training datasets.