Toward precision medicine of breast cancer

In this review, we report on breast cancer’s molecular features and on how high throughput technologies are helping in understanding the dynamics of tumorigenesis and cancer progression with the aim of developing precision medicine methods. We first address the current state of the art in breast cancer therapies and challenges in order to progress towards its cure. Then, we show how the interaction of high-throughput technologies with in silico modeling has led to set up useful inferences for promising strategies of target-specific therapies with low secondary effect incidence for patients. Finally, we discuss the challenge of pharmacogenetics in the clinical practice of cancer therapy. All these issues are explored within the context of precision medicine.     

Risk biomarker assessment for breast cancer progression: replication precision of nuclear morphometry.

Nuclear morphometry is a method for quantitative measurement of histopathologic changes in the appearance of stained cell nuclei. Numerous studies have indicated that these assessments may provide clinically relevant information related to the degree of progression and malignant potential of breast neoplasia. Nuclear features are derived from computerized analysis of digitized microscope images, and a quantitative Feulgen stain for DNA was used. Features analyzed included: (1) DNA content; (2) nuclear size and shape; and (3) texture features, describing spatial features of chromatin distribution. In this study replicated measurements are described on a series of 54 breast carcinoma specimens of differing pathologic grades. Duplicate measurements were performed using two serial sections, which were processed and analyzed separately. The value of a single feature measurement, the nuclear area profile, was shown to be the strongest indicator of progression. A quantitative nuclear grade was derived and shown to be strongly correlated with not only the pathologic nuclear grade, but also with tubule formation, mitotic grade, and with the overall histopathologic grade. Analysis of replication precision showed that the standard methods of the histopathology laboratory, if practiced in a uniform manner, are sufficient to ensure reproducibility of these assessments. We argue that nuclear morphometry provides a standardized and reproducible framework for quantitative pathologic assessments.     

Follow-up after breast cancer treatment

BackgroundBreast cancer (BC) is the most common malignancy in women. Due to improved detectability and modern methods of treatment, the number of breast cancer survivors is estimated at 6 million women globally and is still increasing. The follow-up (FU) visits carried out at the Greater Poland Cancer Centre were assessed for compliance with Polish Society of Clinical Oncology (PTOK) and European Society for Medical Oncology (ESMO) guidelines.Materials and MethodsThe database covered 484 women who were treated for breast cancer in the Greater Poland Cancer Centre in 2013. Of these, 233 attended FU visits for 5 years after completion of radical treatment and had no cancer relapse. The number of FU visits and the number and type of additional tests performed were analyzed.ResultsThe median number of FU visits over 5 years was 14, which is in line with the guidelines. 51.6% women had a mandatory annual mammography. A significant number of women had additional tests that are not recommended in the guidelines.ConclusionsThere is a need to educate both physicians and patients on the principles of FU check-ups.     

Complex treatment of inflammatory breast cancer

Inflammatory breast cancer represents 2-5% of all malignant breast lesions. Its rapid progression, the rather short medical history of the disease is unique and seems to be very typical. The combined modality treatment of inflammatory breast cancer is a special challenge for the medical oncologists. Preoperative chemotherapy is of great importance. After getting fair remission, surgery and radiotherapy should be delivered. With combined modality therapy the 5-year overall survival is about 50%. Knowing more pharmaco-genomic details on the disease and delivering new medicaments the effectiveness of the treatment will be further enhanced.     

Modeling human breast cancer metastasis in mice: maspin as a paradigm

Breast cancer is the most common cancer detected in women, accounting for nearly one out of every three cancers diagnosed in the United States. Most cancer patients do not die from the primary tumor but die due to metastasis. Therefore, the study of metastasis is of most importance both to the clinician and patient. In the past, animal models have been used in breast cancer research and mammary gland biology. Our group has also established several animal models to address the function of a novel tumor suppressor gene maspin in breast tumor progression. Maspin was initially isolated from normal mammary epithelial cells. Its expression was down regulated in breast tumors. To test the protective role of maspin overexpression in mammary tumor progression, we crossed maspin overexpression transgenic mice (WAP-maspin) with a strain of oncogenic WAP-SV40 T antigen mice. The bitransgenic mice had reduced tumor growth rate and metastasis. Maspin overexpression increased the rate of apoptosis of both preneoplastic and carcinomatous mammary epithelial cells. Maspin reduced tumor growth through a combination of reduced angiogenesis and increased apoptosis. In a separate animal experiment, maspin overexpressing mammary tumor cells (TM40D) were implanted into the fat pad of syngeneic mice. TM40D tumor cells were very invasive and metastatic. However, both primary tumor growth and metastasis were significantly blocked in TM40D cells that overexpress maspin as a consequence of plasmid or retrovirus infection. These evidences demonstrate that maspin function to inhibit primary tumor growth as well as invasion and metastasis. Elucidating the molecular mechanism of maspin action will shed light on our understanding of breast cancer invasion and metastasis.