Blood cancers are challenging to treat. The main reason is that cancer is found at late stages, where current treatments often fail. To save more lives, we must change our approach. We need to shift our focus from treating late-stage disease to stopping it early. We can achieve this by understanding how cancer starts. Many studies report that warning signs appear decades before cancer diagnosis. As people age, mutated blood cells can form in the body. This raises the risk of blood cancer by twelve times. Our research found that more chronic inflammation within bones creates a hostile environment. This inflammation acts like fuel for mutated cells. It helps them grow while harming healthy ones. A primary driver of inflammation is obesity, a condition that affects 40% of U.S. adults, and is a cancer risk factor. This long lead time offers a vital window of opportunity for early treatment. We propose a strategy to starve these bad cells. We aim to cut off the fuel supply linked to cancer cells to prevent cancer. We will test how obesity-driven inflammation helps mutated cells grow and weakens the immune system. Using human and mouse models, we will determine whether anti-obesity treatments can prevent cancer. We will test whether these treatments can reduce cancer growth and improve immune function. We will use computational tools to find high-risk patients. This project will help detect and halt leukemia in people most affected by obesity. The goal is to prevent devastating diseases before they begin.
Many people are diagnosed each year with blood cancers called myeloproliferative neoplasms, or MPNs. These cancers cause the body to make too many blood cells. Doctors treat MPNs with medicines that block the signals telling cancer cells to grow. These medicines work well for many patients at first. But over time, the cancer often stops responding. When this happens, patients have very few options left.We have found a clue that helps explain why some cancers stop responding to treatment. Certain gene changes, in genes called ASXL1 and SETBP1, cause cancer cells to form protein clusters inside the cell nucleus. These clusters act like command centers that keep cancer genes switched on, even when treatment is trying to shut them down. This makes the cancer much harder to kill.The good news is that we have found drugs that can break up these clusters. In our early studies, these drugs worked well in cancer cells grown in the lab and in animal models. Now we want to understand exactly how these clusters form and how best to destroy them. We will build cancer models in the lab that closely mimic what we see in patients. We will then test new drug combinations to find the best strategy for shutting down these command centers.Our goal is to use what we learn to launch a new clinical trial at OHSU within three years. We hope this work will give patients with treatment-resistant MPNs new options and ultimately help them live longer, healthier lives.
Dendritic cells are a type of immune cell that patrols tissues to find signs of disease. When they find a tumor, they can pick up pieces of multiple different cell types including normal cells, bacteria, and pieces of the tumor called antigens. Their main job is to carry these tumor antigens to special T cells that can kill tumors. They show the antigens to the T cells to let them know there is cancer in the body and guide the T cells to attack the tumor. In places like the skin, dendritic cells can pick up both harmless skin antigens and dangerous melanoma tumor antigens at the same time. This is tricky because dendritic cells need to show the harmful melanoma antigens to T cells to fight the cancer, but they also have to hide the harmless skin antigens from T cells so they don’t mistakenly attack healthy tissue. Our research shows that when dendritic cells take in many different types of antigens at once, it’s harder for them to tell the T cells about the tumor. This can weaken the immune system’s response to cancer. We are studying how dendritic cells can better separate these antigens to improve how they activate T cells against melanoma. Our goal is to use this knowledge to create better treatments that boost the immune system’s ability to fight cancer. This could lead to more effective therapies that protect normal tissues and strengthen the immune response against tumors.
Volunteer Grant funded by the V Foundation Wine Celebration in honor of Paul Dugoni and in memory of Lynn Dugoni
Cancer immune therapies that trigger the body’s own immune system to fight tumors have greatly improved cancer treatment over the last 10 years. Still, most patients do not benefit from this approach for reasons that remain unclear. The goal of our work is to determine what prevents the immune system from fighting cancer in order to design better immune therapies that can help more patients. Our studies focus on T cells, the immune cell type that plays the biggest role in killing tumor cells. T cells can kill cancer cells because cancer cells have mutations that T cells see as dangerous to the body. In theory, T cells that see different mutations should be able to work together to control tumors. However, our research has shown that T cells compete with each other to fight tumors and this greatly reduces the effectiveness of the T cell response. T cell competition may explain why some patients do not respond well to immune therapies. Our work is aimed at understanding why T cell competition occurs so that we can design immune therapies that promote T cooperation to better fight tumors. Our research will explore cancer vaccines as one potential treatment approach. We focus our studies on lung cancer, which causes the most cancer deaths each year, though we expect our results will be relevant to many cancer types. Findings from our work will allow development of more effective immune therapies for cancer patients that will decrease suffering from this terrible disease.
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.
Liquor, tobacco and human papilloma virus (HPV) infection are major causes of head and neck cancer (HNC). Adult males often contract HPV infection via oral sex. People carrying HPV are at higher risk of developing HNC. Current HPV vaccines do not work in people already infected or in cancer patients. In the U.S., one in four persons are HPV positive. Thus, HNC will remain an important health problem for decades because of the high number of currently infected people. The major goal of our research is to design a cancer vaccine that works after disease onset.
Vaccination works by prodding the immune system to make protective antibodies. Our previous research suggests that antibodies against tumors are present for a short time as cancer grows. Now, we aim to learn how antibodies against tumors are made. We will use this knowledge to develop safe vaccine therapies to cure existing disease. Our approach is different because current immune therapies target cellular immunity, that is T cells, whereas we aim to exploit humoral immunity, that is B cells and antibodies.
This work will provide key data to push a patient’s immune system to make more anti-cancer antibodies and cure their disease. These new therapies will avoid marring head and neck surgeries and thus will improve how patients function. Importantly, our therapeutic approach can be extended to any type of cancer.
A growing body of scientific evidence suggests that up to half of all young women’s breast cancers are related to a recent pregnancy. Approximately 12,000-15,000 young mothers each year in the U.S. and 180,000 women worldwide will be diagnosed with breast cancer within 5 years of childbirth, demonstrating that young mother’s with breast cancer is a global problem. Our lab found that this population has a three-fold increase in metastasis and death, and we traced the increased death to the inflammatory effects of breast tissue “remodeling” following pregnancy –the time when breast tissue is removed to phase out of the job of lactation. Using rodent models of postpartum breast cancer, we found that ibuprofen treatment given for only 10 days after weaning blocks the development of postpartum breast cancers. Studies supported by the Kay Yow Cancer Fund permitted us to use our mouse models to determine whether ibuprofen can be used to prevent postpartum breast cancer, as well as let us investigate whether ibuprofen can be used to help treat young women already diagnosed with postpartum breast cancer. Our goal is to determine if a relatively low-cost intervention, such as ibuprofen or aspirin, can be readily incorporated into current treatment regimens to prevent the occurrence and/or progression of young women’s breast cancer. Results from this Kay Yow Cancer Fund grant confirm that the window of time following weaning is unique, characterized by tissue remodeling that is driven by the same protein that drugs like aspirin and ibuprofen inhibit. We anticipate that aspirin and ibuprofen, when combined with standard of care treatments for breast cancer, will reduce mortality in young women diagnosed with postpartum breast cancer. Further, our mouse studies identify why ibuprofen prevents progression of postpartum breast. We find that postpartum breast cancers are infiltrated with high levels of “bad” immune cells that block the ability of “good” immune cells to attach the cancer. We find that ibuprofen specifically blocks these “bad” immune cells and activates the “good” immune cells, permitting tumor destruction. In future studies, we will confirm that ibuprofen and drugs similar to ibuprofen activate the “good” arm of the immune system in postpartum women, as we see in mice, and we will conduct the first clinical trial designed to fight postpartum breast cancer.
Funded by Team V runner Jack Daly’s fundraising efforts in loving memory of his wife, Bonnie
In 2016, pancreatic cancer overtook breast cancer to become the third leading cause of cancer related death in the United States. Therapies used to treat pancreatic cancer to date have provided limited benefit, indicating that an improved understanding of complex mechanisms of disease progression are needed to develop more effective therapeutic strategies. Pancreatic cancer is characterized in part by an exuberant fibrotic and inflammatory reaction which infiltrates and surrounds tumors, together known as the tumor microenvironment. The pancreatic tumor microenvironment both creates a harsh environment for cancer cells to grow, by limiting blood flow and nutrient availability within the tumor, but also provides factors that enable cancer cells to survive and adapt in the context of this nutrient-poor, challenging microenvironment. I hypothesize that particular cells within the pancreatic tumor microenvironment known as stellate cells, have evolved mechanisms to “feed” energy to cancer cells to simultaneously promote their survival and growth, and to regulate expression of cancer-supportive genes. To test this hypothesis, I will use a combination of patient-derived cancer and microenvironmental cells; these cell types will be cultured together to understand on a molecular level the impact of supportive cells on pancreatic cancer cell survival and behavior. These mechanistic studies will be accompanied by investigation of relevant metabolic pathways in mouse models of human pancreatic cancer, testing both genes and pharmacologic agents which may inhibit microenvironment-mediated tumor growth. Together, these studies have the potential to identify a novel metabolic liability of pancreatic cancer, which may be targetable for therapeutic benefit.
If detected early melanoma is usually curable with surgery. However, melanomas are often detected at later stages after cancer cells have metastasized and survival rates for patients with metastatic disease are less than 15%. Furthermore, some thin melanomas, even when detected early, lead to mortality. What defines this difference in outcome is largely unknown and suggests a need for new markers that can predict a patient’s risk. Recently, the cellular microenvironment that surrounds a tumor has gained significant attention as a critical regulator of tumor progression, response to therapy and resistance. Effective therapies that specifically target immune suppression by tumor microenvironments have been developed; however, our understanding of the specific way in which these therapies work is incomplete. A better understanding of which parts of the microenvironment suppress immune responses will not only allow for better prediction of patient prognosis but may also help enhance a patient’s response to new immune-based therapies. Lymphatic vessel growth in melanoma is correlated with poor prognosis and enhanced metastasis to lymph nodes, however, until now lymphatic vessels were largely ignored as players in host anti-tumor immune responses. Our recent work demonstrates for the first time that lymphatic vessels are immune suppressive in tumor microenvironments and impair therapy. This proposal will test the hypothesis that lymphatic vessels directly contribute to immune suppression and suggests they may be a novel marker both for risk stratification in melanoma patients and as a novel therapeutic target.
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