Designed to identify, retain and further the careers of talented young investigators. Provides funds directly to scientists developing their own independent laboratory research projects. These grants enable talented young scientists to establish their laboratories and gain a competitive edge necessary to earn additional funding from other sources. The V Scholars determine how to best use the funds in their research projects. The grants are $200,000, two-year commitments.
Funded by the Constellation Gold Network Distributors
My research is focused on understanding the role of genetic abnormalities in prostate cancer treatment resistance. Prostate cancer is one of the most common cancers in men, but what makes prostate cancer deadly in some men, but not others? The answer lies in the DNA of prostate tumor cells. Abnormal changes can occur in the DNA of tumor cells and give them the ability to resist standard treatments. Monitoring tumor DNA over time could uncover these changes. As the cancer progresses, tumor cells can move and grow in distant organs. Often, obtaining tumor cells from these organs is painful and difficult. What if tumor cells and its DNA were easier to access? We address this problem by using an exciting method, called a “liquid biopsy”, to measure tiny amounts of DNA that are released from tumor cells into the blood. We develop new computational techniques, combined with genetic sequencing, to reveal “signatures” of tumor DNA alterations from the blood. These signatures could allow oncologists to track whether a patient is responding well to treatment. They could also help predict whether a patient’s tumor has the potential to resist treatment. Ultimately our work will provide new tools to help doctors care for patients with less discomfort, more accuracy, and greater precision.
Funded by the Stuart Scott Memorial Cancer Research Fund
Ovarian cancer is one of the deadliest cancers among women worldwide. In 2019, nearly 22,240 new cases of ovarian cancer will be diagnosed in the US, and approximately 14,070 women will succumb to this disease. Most women respond well to the standard treatment, however, the majority of these patients (with estimates up to 75%) experience a recurrence of the disease due to acquired resistance of the tumor cells to chemotherapy.
This proposal is aimed at understanding what makes ovarian cancer cells resistant to therapy with the goal of discovering new avenues for therapeutic intervention. We will use state-of-the-art genome sequencing techniques to measure the changes that occur in primary ovarian tumor samples compared to recurrent tumor samples collected from the UNC Cancer Hospital. Our goal is to define how genes are being regulated in ovarian tumors in order to identify the molecular switches that are responsible for turning on genes that give rise to resistance. We hypothesize that these molecular switches (known as enhancers) are hijacked by the tumor cells for the activation of genes that give rise to resistance. We aim to identify their locations throughout the genome and determine which ones are responsible for drug resistance. Completion of this project will increase our knowledge about an understudied new facet of ovarian cancer, advance the way cancer research is conducted, provide a new set of biomarkers with diagnostic and prognostic potential, and highlight new targets for controlling cancer cell growth.
Funded by the Dick Vitale Pediatric Cancer Research Fund
Rhabdomyosarcoma is the most common childhood cancer. Its most hard-to-treat subtype, fusion-positive alveolar Rhabdomyosarcoma (FP-ARMS), is mainly caused by chromosome translocations that form a “fused oncogene” called PAX3-FOXO1 or PAX7-FOXO1. Although the genetic mutations leading to FP-ARMS has been known for decades, the effective therapy to treat FP-ARMS patients is still lacking: less than 50% of the patients are cured, and patients survival rate is less than 10%. In FP-ARMS translocation, a piece of DNA is “fused” to another piece of DNA. Such fused DNA sequence not only consists of the protein-coding genes but also of the non-coding DNA sequences. These non-coding sequences used to be called as “junk DNA”, but more and more studies have shown that they play essential roles in human diseases, including cancer. However, in FP-ARMS, we know very little about whether or how the “fused” non-coding DNA sequences contribute to cancer. In this study, we will take advantage the newly developed technology to address this question that has never been asked: how the “fused” non-coding DNA sequences contribute to tumor development. Our work will help to understand the mechanism that control FP-ARMS development, and in the future, to provide new drug targets for better therapies. More importantly, since chromosome translocation is frequently observed in many childhood cancer types, our pioneer work will also establish the new methods that can be applied to study other pediatric cancers.
Funded by the Stuart Scott Memorial Cancer Research Fund
Normally, the cells of our body grow and divide only when needed. In cancer, however, this organization breaks down and cells grow out of control. Our lab studies signaling pathways that act as the cell’s circuitry and control when it grows and divides. We also study cellular metabolism, which consists of the chemical reactions a cell uses to turn nutrients into energy and cellular building blocks. Growth signaling pathways are often what become mutated and abnormally activated in cancer, in part, because they play important roles in controlling metabolism. We are particularly interested in a critical metabolic cofactor known as Coenzyme A, which is required to produce cellular energy and building blocks. We have gathered evidence that some cancer cells may have a greater need for Coenzyme A compared to normal cells. Therefore, it may be possible to kill certain tumors before damaging normal tissues by targeting Coenzyme A metabolism. We will characterize specific mutations that may make cells vulnerable to this treatment, and test this treatment concept in cancer cell cultures and mouse tumors. Our basic research into whether this treatment has promise is the necessary first step towards developing a potential new drug that may one day be used to successfully treat patients.
According to estimates from the International Agency for Research on Cancer, worldwide, there were 18.1 million new cancer cases diagnosed with 9.6 million deaths in 2018. In other words, one in 5 men and one in 6 women experience cancer during their lifetime, and one in 8 men and one in 11 women die from the disease. As such, there is an urgent need for finding better treatments to reduce cancer-associated death. BRCA1 and BRCA2 are two genes that, when mutated, can cause cancer. Studies by many research groups have revealed critical roles of BRCA1 and BRCA2 in protecting our genetic material from damage caused by sunlight, radiation, and other environmental exposures. While BRCA mutations have been linked to a greatly increased risk of developing cancer, we do not yet fully understand the biological process of DNA repair mediated by the BRCA genes. This poses a challenge for patient counseling, determining prevention strategies, and the formulation of treatment plans when disease strikes. Here, we describe a research project to study BRCA1 and BRCA2 designed to fill this knowledge gap. The information and tools from our work will help explain why BRCA mutations cause disease and help formulate treatment regimens that are more effective than current ones.
Head and neck tumors are composed of cells that are not all the same, but instead have different functions, much like bees in a hive. While some cells act like drone bees that are primarily responsible for expanding and growing the colony (or in this case, tumor), others are responsible for directing and orchestrating the tumor like a queen bee. Still other cells mimic worker bees who travel outside the hive and are responsible for the spreading the tumor to new locations. We are interested in these worker bees of head and neck cancers and understanding what triggers them to exit the hive. In particular, we are trying to identify the specific genes that serve as markers of the worker bees, in order to determine if they are present in tumors and whether they can help to predict when a cancer may spread. We are also trying to understand the specific genes that allow these worker bees to perform their function. Much like a specific wing shape or other adaptations worker bees have in nature, we are curious about whether these cells have specific cellular machinery they use to spread beyond the tumor. Together, these studies could help us develop new ways of identifying patients at risk for their cancer spreading as well as new treatments to prevent the spread of cancer all together.
The overarching goal of research in my laboratory is to understand how cancer cells metastasize and spread to vital organs in the body, such as the lung, liver, bone and brain. In breast cancer patients, metastasis leads to death in over 40,000 women in the U.S. each year. The possibility of progression to stage IV, metastatic disease is a constant source of fear and anxiety, since 30% of patients eventually progress to metastasis and survival for these patients is very poor (<3 years). Despite its prevalence, metastasis is an incredibly complex biological process that is very challenging to study due to the limited availability of authentic model systems. My laboratory has developed an innovative new approach to study metastasis in high resolution, using cutting-edge new single-cell technologies to study how individual cancer cells spread in human patient tumor models of breast cancer. Using our approach, we have found that cancer cells use a specialized form of cellular metabolism in order to spread. In our proposed study, we will investigate why and how this form of metabolism promotes cancer cell spread, and we will explore the effectiveness of using metabolic inhibitors to prevent metastasis and fatality in cancer patients.
Funded by the Dick Vitale Pediatric Cancer Research Fund
Diffuse Intrinsic Pontine Gliomas (DIPGs) are heartbreakingly aggressive tumors of childhood for which no curative treatments currently exist. Our research is focusing on a gene called PPM1D which is commonly mutated in DIPGs. We are studying how these mutations cause the tumors to grow and are trying to find ways in which we can target them in new treatments for children with DIPG.
Funded by the Constellation Gold Network Distributors
Non-small cell lung cancer (NSCLC) is a leading cause of death worldwide. Many NSCLCs are caused by exposure to carcinogens, such as cigarette smoke, which cause changes to a cell’s DNA. These genetic changes can be detected by DNA sequencing methods. Next generation sequencing of tumors can provide clinicians, patients, and researchers with essential knowledge about the genes and proteins that cause and contribute to disease. Unfortunately, most human proteins (>95%) remain undrugged or inaccessible to labeling by FDA approved small molecules. Consequently, most cancer-associated proteins identified by DNA sequencing cannot be drugged. Therefore, we need new methods to identify druggable pockets in cancer-causing proteins. Our research develops such technology. In this study, we will develop a new approach to translate genetic changes into therapies. Our first step is to identify drug vulnerabilities that are specific to tumors. We will achieve this goal by combining next generation sequencing with new proteomics methods developed by our group. Next, we will synthesize drug-like molecules that can specifically label these tumor-associated proteins. Finally, we will determine how the protein targets of our compounds cause or contribute to cancer. Long-term, our studies will help guide the development of new precision therapies that will have fewer side effects and improved patient outcomes.
The term “metastasis” describes the spread of cancer cells from their original location in the body to nearby or distant organs. Almost 90% of all cancer deaths are because of metastasis. Unfortunately, this estimate has not changed in the last 50 years and our understanding of metastasis is limited. In order to effectively treat metastasis, we need to first understand them. Both cancers and their metastasis contain mutations in their DNA. Using our advanced algorithms, we can utilize these mutations to generate a tree that shows the evolution of a cancer in an individual cancer patient. On this tree, we can map the most important changes that can be used by doctors for making treatment decisions. In addition to using individual mutations, we can also use the patterns of all mutations in a cancer patient to pinpoint the processes that were active during evolution of the cancer. Some of these processes can be used as clocks to time the important changes found on the tree. Overall, we will create a high-definition timeline of the molecular events in the metastatic cancer of each individual cancer patient. The project will examine almost 2,000 cancer patients and increase our understanding of the events needed to transform a cancer to a metastasis. This knowledge is an essential step in providing patients with metastatic cancer with an informed and optimal cancer treatment.
Manage Consent
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes.The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes.The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.