Facilitate the transition of projects from the laboratory to the clinic. Translational researchers seek to apply basic knowledge of cancer and bring the benefits of the new basic-level understandings to patients more quickly and efficiently. These grants are $600,000, three-year commitments
In cancer, many processes and functions of cells are changed. One such change is the presence of errors in the DNA sequence of cancer cells. By searching for these errors in blood samples from patients, one could use these as a means to detect the disease. In early disease, the presence of these errors in blood is scarce compared to normal cells, making their detection difficult. Recently, in addition to mutations, the DNA has also been observed to be chemically changed at an early stage. One such change (DNA Methylation) is vastly different in cancer cells and it covers larger regions of DNA, making it easier to detect. Analyzing these patterns from blood could be a viable means to detecting cancer in its early stages. In this proposal, we will map out the profile of patients who develop Acute Myeloid Leukemia (AML). We will use blood samples from a large number of patients that were diagnosed with the disease. Importantly, we have identified samples from patients who have particularly aggressive forms of the disease. Our objective is to create biomarkers to identify the disease early through blood samples, differentiate aggressive disease from benign ones. This allows us to treat lethal cancers with more aggressive therapy at an earlier stage. Together, we propose an exciting opportunity to detect cancer early and identify patients who could benefit from treatment before their cancer grows beyond control.
Funded by the Dick Vitale Pediatric Cancer Research Fund
Recent advances have shown that it is possible to use a patient’s own immune system to fight cancer. Osteosarcoma, the most common bone cancer in children and young adults, is one cancer type that has not responded to immune-based treatments. Most patients who relapse die when the osteosarcoma spreads to the lung, and it is critically important to design new treatments to prevent these young lives from being lost.
Dr. Ligon’s team analyzed osteosarcoma samples from human patients and found that while immune cells are present in osteosarcoma lung tumors, they are kept at the outside of the tumor because the tumor has several ways to “exclude” these immune cells. In collaboration with Dr. Sayour, Dr. Ligon’s team proposes to use a new immune-based therapy called an RNA nanoparticle vaccine, which may be able to reprogram the tumor and allow immune cells to kill the cancer.
Based on promising data from the lab and from treating small animals such as dogs with osteosarcoma, Dr. Ligon proposes a clinical trial of this treatment in human patients with osteosarcoma which has spread to the lungs. He proposes to establish that this treatment is safe and find the right dose for future clinical trials. He will also perform studies on blood and tumor samples to understand how the vaccine works against osteosarcoma. This clinical trial will study a new treatment for a cancer that currently is incurable and help us understand how this new treatment works to help design future studies.
Oral cavity squamous cell carcinoma (OCSCC) is the most common head and neck cancers worldwide. Finding OCSCC early, when it’s small and hasn’t spread, allows for more successful treatment, and increases patients’ survival. Unfortunately, most of the patients present at advanced stage when diagnosed. Current method for OCSCC diagnosis (which includes cutting of tissue for laboratory testing), is invasive, costly, and depends on examiner experience, underscoring the need for developing noninvasive cancer detection methods. As OCSCC grows, it accumulates mutations in genes known to play role in cancer progression. Our group and others have reported that such mutations can be detected in saliva of patients with OCSCC. However, no saliva-based screening method for early detection of cancer are currently available. Recently we have developed a method based on the targeted sequencing technology specifically designed to detect OCSCC-associated mutations in saliva and validated this assay using specimens collected in India (a country with a high incidence of OCSCC). While these findings provide the foundation for using this ultra-sensitive and cost-efficient assay in clinical settings, frequency of cancer-driving mutations may vary in patients from different ethnical backgrounds. Our proposal will leverage the unique geographic location of the University of Chicago to evaluate the performance of this test across demographically heterogeneous patient populations, as well as across diverse therapeutic approaches for treatment of OCSCC. A well-validated, saliva-based cancer detection assay with optimal analytical performance would represent a significant clinical advancement in cancer care by reducing mortality, while lowering the socio-economic burden of OCSCC.
Most women from families that have the greatest risk for breast and ovarian cancers are not aware that they are at higher risk. Even among women who are aware of this risk, no tests are available for ovarian cancer, and no tests for breast or ovarian cancer can predict when a cancer is most likely to occur. The current tests typically detect cancer when it has already spread and is very difficult to cure. There is a great need to have a test that can accurately identify women who are at higher risk for breast and ovarian cancer and can detect cancer early. Our project will develop a blood test which can predict which women are most at risk for ovarian and breast cancer. Following that, we will study whether the same blood test can predict when cancer among these women is most likely to develop, increasing the chances that a cancer is found early and significantly improving the odds of survival. The novelty of our test is that we are looking at a new class of molecules in blood using cutting-edge strategies that have never been used for cancer detection.
The overall goal of “Enhancing Lung Cancer Screening For Eligible Patients (ELFE) through human- centered intervention” is to increase the completion rates of lung cancer screening (LCS) among eligible patients. LCS is important because it can facilitate the detection of lung cancer at the earliest and most treatable stage before the cancer has spread. The goal of ELFE is two-fold: 1) interviewing patients who have completed lung cancer screening to better understand factors that served as barriers to or facilitators of LCS participation and 2) develop a clinical intervention incorporating the lessons discovered through the interviews. We will explore the use of a Pre-Visit Planner in which a licensed medical assistant will engage with patients alone or coupled with a web portal to identify patients who are eligible for LCS. ELFE is a collaboration that includes the UC Davis Comprehensive Cancer Center, UC Davis Health, and Amazon Web Services to bring innovative research and tools to patients. Using a patient-centered intervention such as what we are proposing potentially could impact clinical practice thus, reducing the mortality associated with lung cancer.
Lung cancer is the leading cancer killer in both men and women in the U.S. Early detection is the most effective way to fight against this deadly disease. In recent years, an imaging method known as low-dose CT (LDCT) scan has been studied in people at higher risk of getting lung cancer. LDCT scans can help find nodules in the lungs that may be cancer. However, majority of those nodules are actually benign, yet exposing many of those patients to a needle biopsy or other invasive procedures. Hence, there is an urgent and unmet need for an accurate and non-invasive approach to distinguish those nodules that are malignant from those that are not. In this proposal, we will develop and validate a novel method to integrate a blood test and the LDCT imaging for the early detection of lung cancer. Specifically, from blood we extract cell-free DNA, from which we develop an ultra-sensitive assay to profiles the epigenome of cell-free DNA, therefore to detect even a trace amount of tumor DNA. Using advanced machine learning algorithms on the integrated genomics and imaging data, we aim to significantly improve the accuracy of the cancer detection. For those patients with nodules identified from LDCT, we will integrate the two sources of information to determine whether the nodules are malignant or benign.
Funded by the Dick Vitale Pediatric Cancer Research Fund
Osteosarcoma (OSA) is a bone cancer that mostly affects young people. Surgery and chemotherapy are the most common forms of treatment but can cause serious side-effects that make patients very ill. When a patient’s OSA has spread from the bone to the lungs it is much harder to treat. Recent research has shown that immune cells can be engineered to improve their ability to fight cancer. This approach has cured patients with certain blood cancers when all other previous therapies failed. However, this approach is less effective in “solid” cancers like OSA. We are pursuing a new approach where immune cells that naturally recognize mutated proteins in a patient’s tumor (TIL) are collected and grown to large numbers before returning them to the patient. This approach has achieved cures in several solid cancers, including those that have spread to other areas of the body including the lungs, but it is not always effective. In previous work, we found that disabling a gene called CISH allows TIL to kill cancer cells more effectively. We are currently testing this in a clinical trial in patients with gastrointestinal cancer. In the current proposal, our goal is to see if this approach can also be used to treat OSA. If successful, our approach may offer a curative option with far fewer side-effects compared to current therapies.
Renal medullary carcinoma (RMC) is a rare but deadly kidney cancer that mainly occurs in young individuals of African descent that carry a blood disorder called sickle cell trait. Most people carrying the sickle cell trait never develop any symptoms. Many do not even know that they have it. Approximately 1 in 14 African Americans have the sickle cell trait and are at risk for developing RMC at an average age of 28 years old. RMC is also an under-recognized global health challenge because the sickle cell trait is found in ~300 million individuals around the world, mainly in Africa. Almost every patient with RMC is diagnosed late, when the cancer has already spread to other organs. Less than 5% of these patients survive beyond 3 years. Furthermore, many patients with RMC are initially misdiagnosed and lose precious time while being treated with the wrong therapies. The chances of a cure considerably increase when RMC is diagnosed and treated early. With the help of our patient advocates, we have established the largest collection of blood and tissue samples from patients with RMC worldwide. Using these samples, we have found evidence that patients with RMC have antibodies against unique proteins found only in cancer. We have developed a novel technology that allows the detection of more than 400,000 of these antibodies using only a drop of blood, quickly (within 3 days) and affordably. Our proposal aims to investigate and develop this new approach for the early diagnosis of RMC.
Basal (BCC) and squamous cell (SCC) carcinomas are the most common form of skin cancer. If diagnosis is delayed, the tumors may require surgery that is more extensive. These tumors may be superficial, which are slow-growing, confined to the outer skin layers, and can usually be treated without surgery. Alternatively, they may be invasive, penetrating the deeper skin layers to destroy these tissues, often requiring surgery that can be costly and painful. While these skin cancers often may be diagnosed with the naked eye, it is difficult to tell whether they are superficial or invasive. Thus, there is a clear need for a new diagnostic approach that can inform patients and their physicians whether a particular lesion should be biopsied, and whether evaluation is urgent if the lesion is likely to be invasive. Currently there is no non-invasive (without biopsy) to accomplish this. Here, we propose to develop a new test based on micro-RNAs (miRNAs) that can be recovered simply on adhesive tape from suspicious skin lesions. We believe these miRNAs can be used to identify non-melanoma skin cancers and their subtypes as a new non-invasive way to decide whether (and how urgent) a biopsy needs to be performed. First, we will determine which miRNAs are most associated with superficial and invasive skin cancers by analyzing miRNAs in previously biopsied tissues. Second, we will validate this technique on a group of patients who come to clinic with a suspicious skin lesion.
Liver cancer is one of the deadliest cancers in the world and it is becoming more common in the United States due to liver disease or liver scarring. Patients with liver problems are at risk of developing liver cancer, and if the cancer is found at an early stage, it can be cured. Therefore, patients with liver problems should be screened regularly so that the cancer can be found early. Unfortunately, current screening techniques are not very sensitive and require trips to special imaging centers twice a year. Our work will create a new and better screening tool for early detection of liver cancer that can be used anywhere. By improving the quality and access to better imaging, screening will be more effective and can be done wherever patients need it most, without the need to travel to a hospital or specialized imaging center. We believe that by improving both the quality and access to screening, patients with liver cancer will be found at an earlier stage, allowing for better patient care. Further, easier access to this new screening tool will allow more people to access the healthcare they need.
Mailing List
