MedicalResearch.com Interview with: Dr Stephen Chan DM, FRCR, FRCP Consultant Oncologist Breast and Gynaecological Cancers Nottingham University Hospitals Trust Honorary Professor at the University of Nottingham Visiting Professor of Cancer Medicine at Nottingham Trent University MedicalResearch: What is the background for this study? What are the main findings? Dr. Chan: Worldwide each year 1.68 million women are diagnosed with breast cancer and more than half a million die from the disease. Of these new cases around 12% will be classified as triple negative breast cancer (TNBC), meaning that tumour cells from these patients do not show any of the three established clinical markers that can be treated with targeted therapies. These drugs are used in addition to standard chemotherapy to improve the chance of a good treatment response, leading to prolonged disease free survival. Without these additional treatment options triple negative patients are forced to depend entirely on chemotherapy to treat their cancer. Traditionally the sensitivity of a cancer to different types of chemotherapy has been categorised is based on a tumours tissue of origin and stage. There is currently no predictive marker of response that would allow chemotherapy treatment to be tailored to individual patients. With this information a clinician can predict which patients would benefit most from a particular chemotherapy and switch any who would do poorly to an alternative. The result would be a shift to increased treatment efficacy, while avoiding toxicity from ineffective treatment, which would in turn also reduce the cost to the health service. This need is particularly acute in triple negative breast cancer cases where chemotherapy is the cornerstone of treatment. In collaboration with researchers based at Nottingham Trent University our group has been successful in finding new markers, which can predict how a patient will respond to chemotherapy treatment. One of these is HAGE (DDX43), a DEAD box RNA helicase. We have found that high HAGE expression predicts good respond to one of the main first line chemotherapy drugs, called anthracycline (Tarek MA Abdel-Fatah et al, April 2014). Our recent work (Tarek MA Abdel-Fatah, 2015) has shown that the predictive value is strong in triple negative breast cancer cases. (more…)

MedicalResearch.com Interview with: Karla M. Gonye, MBA President, sphingotec LLC Cambridge, Massachusetts MedicalResearch: What is the background for this study? Response:

• Met- and Leu-Enkephalin: are endogenous pentapeptides of the family of opioid peptides known as opiod-growth factors (OGF)
• Enkephalins have been widely studied and play a major role in a variety of physiological processes
  • Perception of pain
  • Regulation of stress
  • Regulation of cardiovascular function
  • Regulation of bone formation
  • Regulation of immune responses
• Alcohol and pain relievers reduce synthesis of Enkephalins
• Met-Enkephalin (opioid growth factor) inhibits tumor progression and metastasis and enhances natural killer cell activity^1,2
• Mechanisms^3-7:
  • Opioids can directly interact with tumor cells to cause a cytotoxic or antiproliferative effect
  • Opioids can modulate host antitumor immune mechanisms
• Opiods can also induce apoptosis
• We need enkephalins to help inhibit tumor progression
• At sphingotec, it was hypothesized that disease progression begins earlier than symptoms are present and that reduced enkephalins in the blood would be an indicator of future breast cancer; measurement of this hormone peptide was possible with the company’s expertise, and that test could be developed to precisely measure enkephalin.
• This method is published in a separate publication by Ernst et al (2006) in Peptides.
• To test this hypothesis, Sphingotec measured enkephalin levels in the MDC and MPP study populations to determine if an association could be made between lower enkephalins and risk of breast cancer: We related proenkephalin (P-ENK) in fasting plasma from 1929 healthy women (mean age 58±5.9 years) of the population based Malmö Diet and Cancer Study (MDCS) to incidence of breast cancer (n=123) using multivariate Cox proportional hazards models during 14.8 years of follow-up. For replication, P-ENK was related to risk of breast cancer (n=130) in an older independent sample from the Malmö Preventive Project (MPP) consisting of 1569 women (mean age 70.0±4.4 years), using multivariate logistic regression.

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MedicalResearch.com Interview with: Karla M. Gonye, MBA President, Sphingotec LLC Cambridge, Massachusetts MedicalResearch: What is the background for this study? Response:

• In experimental studies, Neurotensin and neurotensin expression was highly associated to breast cancer tissue
  • Dupouy et al (2009) investigated the expression of NTS and NTSR1 in normal human breast tissue and in invasive ductal carcinomas (IDCs) and found that NTS is expressed in ductal and invasive components of IDCs. The high expression of NTSR1 is associated with the SBR grade 3 (p<0.05), larger tumor size (p<0.01), and the number of metastatic lymph nodes (p<0.05).
  • It was concluded from this paper that NTS/NTSR1 is a contributor to breast cancer progression.
  • Souaze et al (2006)also studied IDCs and found 34% of all tumors were positive for neurotensin and 91% positive for the NT1 receptor, suggesting the contribution of neurotensin’s involvement in the signaling cascade within breast cancer progression.  In this study, it was found that disruption of neurotensin receptor signaling by silencing RNA or using a specific NT1 antagonist in nude mice xenografted with an aggressive cell line SR48692, caused the reversion of transforming functions that lead to tumor growth.
  • These findings support the contribution of neurotensin to breast cancer progression.
  • Wu, Z. et al (2013) reviewed the contribution of the neurotensinergic system to cancer progression, as well as the regulation and mechanisms of the system in order to highlight its potential as a therapeutic target, and its prospect for its use as a treatment in certain cancers.
  • This summarizes nicely the oncogenic effects of neurotensin after stimulation signaling proliferation, survival, migration, invasion and neoangeogeneis.
  • Several other papers published demonstrate the effects of neurotensin in cancers including breast cancer.
  • New studies such as Roselli et al (2015) further demonstrate the role of neurotensin in aggressive breast cancer.
  • At sphingotec, it was hypothesized that disease progression begins earlier than symptoms are present and that elevated expression of neurotensin in the blood would be an indicator of future breast cancer; measurement of this hormone peptide was possible with the company’s expertise, and that test could be developed to precisely measure neurotensin.
  • This method is published in Ernst et al (2006) in Peptides.
  • To test the hypothesis, the first clinical study was conducted in a cohort of normal healthy population that was indentified from the Malmo Diet and Cancer study, a prospective epidemiological study of 28,449 men and women. Of this group, a subset of 4632 randomly selected subjects were identified and neurotensin was measured in all subjects. Subjects were adjusted for known breast cancer risk factors such as age, age of menarche, heredity of cancer (all), hormone status, etc. (see Table 3, Melander et al JAMA 2012) so that the factors did not influence outcomes. On a 10-15 follow up period, of these subjects, 123 breast cancer events were found to be associated with higher levels of neurotensin, with the highest quartile associated with the highest levels of neurotensin and the lowest quartile associated with the lowest levels of neurotensin. The association of elevated neurotensin was found to be statistically significant for prediction of breast cancer.

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MedicalResearch.com Interview with: Kristian Pietras, Ph.D. Göran & Birgitta Grosskopf Professor of Molecular Medicine Strategic Director of Cancer Research Lund University Dept of Laboratory Medicine Lund Div of Translational Cancer Research Lund, Sweden Medical Research: What is the background for this study? What are the main findings? Dr. Pietras: Breast cancer is the largest malignant disease among women with 1.7 million new cases worldwide each year (25% of all new cancer cases for women). The prognosis for breast cancer patients is relatively good when the disease is detected at early stages (close to 90% of patients are still alive 5 years after diagnosis). Nevertheless, metastatic disease is the cause of 90% of all cancer-related deaths. Thus, learning more about the metastatic process and finding new cures for widespread disease is justifiably at the center of clinical attention. The current study is part of our ongoing efforts to map support functions performed by the various cell types comprising the tumor stroma with the premise that decisive treatment benefit can only be achieved by targeting multiple, but distinct, cell types and pathways that collectively sustain the growth of tumors. The development of a rich vascular supply  is recognized as a key hallmark of a growing tumor necessary for the development into a clinically relevant disease. Our focus is the role of the tumor vasculature in preventing or promoting metastatic dissemination from the primary tumor. For a metastasis to form, a cancer cell must, 1) detach from its neighboring cells in the mother tumor, 2) traverse the vascular wall to escape into the blood stream, 3) exit the vasculature to enter the metastatic site, and 4) colonize the metastatic site. Recent evidence points to that the transmigration into and out of the vasculature is a regulated process of previously unrecognized importance for the metastatic process. Importantly, the fact that the process of escape into/from the vasculature is regulated also implies that it is possible to use drugs to block this process. In the present study, we have combined functional studies in advanced models of cancer and computational biology approaches to investigate the specific contribution to the metastatic process of a molecular signaling pathway emanating from the ALK1 protein expressed by endothelial cells in the vasculature. Using information from 2 different patient cohorts including a total of  nearly 2000 breast tumors, we found that patients specifically having high levels of ALK1 in the vasculature of their tumor were much more likely to develop metastatic/recurrent disease. Accordingly, therapeutic administration of a drug (dalantercept) blocking the action of ALK1 prevented metastatic dissemination in multiple mouse models of breast cancer to a large degree. In addition, combination therapy of dalantercept and a commonly used chemotherapeutic drug (docetaxel) was exceedingly effective in preventing spread of the primary tumor to the lungs. Our results suggest that the molecular features of the tumor vasculature are important to consider as potential determinants of breast cancer dissemination and that metastatic spread can be delayed by targeting the tumor vasculature. (more…)

MedicalResearch.com Interview with: Daniel F. Hayes, M.D. Stuart B. Padnos Professor of Breast Cancer Research University of Michigan Comprehensive Cancer Center Ann Arbor MI Medical Research: What is the background for this study? What are the main findings? Dr. Hayes: We have developed a circulating tumor cell endocrine therapy index that we hypothesize will identify patients with estrogen receptor positive metastatic breast cancer but who will not benefit from endocrine (anti-estrogen) therapy. We can now semi-quantifiably measure er as well as bcl2, her2, and ki67 in a highly accurate and reproducible fashion.  We are now conducting a multi-institutional prospective trial in North America (the Circulating Tumor Cell-Endocrine Therapy COMETI study) to determine if our hypothesis is correct. (more…)

MedicalResearch.com Interview with: Lao Saal, M.D. Ph.D. Head, Translational Oncogenomics Unit Assistant Professor Department of Oncology and Pathology Lund University Cancer Center Lund, Sweden Medical Research: What is the background for this study? Dr. Saal: About a quarter of women diagnosed with primary (non-metastatic) breast cancer will unfortunately progress and later be found to have metastatic spread, which can occur many years to even a decade or more after the first diagnosis. At this point, the prognosis after identification of metastatic breast cancer is very poor. Metastatic disease is typically diagnosed only after it has grown large enough to cause symptoms, be noticed on exam, or be detectable by imaging. It is thought that early detection of metastasis has the potential to lead to better outcomes because therapies could be modified when the metastasis is still very small. Moreover, a very sensitive and specific test that could identify patients who appear "cancer-free" could also be useful. Essentially all cancers have unstable genomes, where chromosomes physically break and are reassembled incorrectly and thus the normal sequence is altered. Importantly, DNA material from cancer cells can be found in the blood circulation and therefore this circulating tumor DNA has the potential to be a cancer biomarker. Medical Research: What are the main findings? Dr. Saal: Eleonor Olsson, a PhD student in my lab who defends her thesis next week, and Christof Winter, a postdoc bioinformatician in my group, were the first authors of the paper. In our study we tested whether periodic monitoring of circulating tumor DNA (ctDNA) in blood plasma samples, taken before surgery for primary breast cancer and at multiple timepoints after surgery, could identify the metastastic spread, and whether the quantity of ctDNA was associated to patient outcome. We analyzed a retrospective cohort of 20 patients, who had enrolled many years ago in a separate epidemiological study run by Helena Jernström in our department, wherein the appropriate blood plasma samples had been biobanked and tumor tissue was available and we had long-term clinical follow-up information. As far as we are aware, our study is the first to show the potential for serial ctDNA monitoring in the context of primary breast cancer. We found that our ctDNA blood tests could discriminate patients with eventual metastasis from those with long‐term disease‐free survival with 93% sensitivity and 100% specificity. Furthermore, ctDNA‐based detection of metastatic disease preceded clinical detection for 86% of patients by an average 11 months and in some cases by 3 years. In all of the patients who had long-term disease-free survival, we did not detect any ctDNA in any timepoints after surgery. Lastly, the measured quantity of ctDNA was a significant predictor of outcome: for each doubling of the ctDNA level, the odds ratio for metastasis was 2.1 and the odds ratio for death was 1.3. An interesting anecdote -- one patient we studied had bilateral breast cancer and we found that it was the right-side tumor (which actually had more favorable clinical characteristics) that gave rise to the metastasis and not the left-side tumor. (more…)