Researchers identify ovarian cancer biomarkers

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gdpawel
gdpawel Member Posts: 523 Member

Researchers have identified markers unique to the cells of blood vessels running through ovarian tumors. The finding, while preliminary, could one day improve screening, diagnosis and treatment for this disease. The team of researchers from the University of Michigan, University of Pennsylvania, and universities in Greece and Italy, used a laser technique to isolate blood vessel cells from 21 ovarian tumors and four normal ovarian tissue samples. From there, they were able to determine which genes the vascular cells expressed. The results identified more than 70 markers that were present in large amounts in the blood vessels of cancer tissue but not in the vessels of normal tissues.

The researchers went on to study in detail 12 markers that had not previously been linked to tumor blood vessels. The study appears in the March 1, 2007 issue of the Journal of Clinical Oncology. "Some of these genes, depending on how highly expressed they were in the tumor vasculature, were also prognostic of a patient's survival. We suspect when these genes are highly expressed it may be a sign of a tumor that's able to grow blood vessels more efficiently, and therefore is more aggressive. This may help us down the road in treatment decisions," says lead study author Ronald Buckanovich, M.D., Ph.D., assistant professor of internal medicine and obstetrics and gynecology at the University of Michigan Medical School. Buckanovich was at the University of Pennsylvania when he conducted this research.

The study analyzed the largest number of samples to date in tumor vasculature, or blood vessel, profiling. While many of the genes identified in this analysis have been shown previously to be involved in tumor vasculatures for other cancer types, several of the markers appear to be new. In addition, the researchers were able to determine that some of the markers present in large amounts in ovarian tumors were not expressed by normal ovaries or other healthy organs. The researchers also found these markers were not present in normal reproductive tissues that experience blood vessel growth, such as the placenta or endometrium. This suggests that the markers are specific to tumors and would not be mistaken for normal blood vessel growth in women of reproductive age. If the markers do prove to be specific to ovarian tumors, researchers believe that could be a new avenue to develop drugs that would target the blood vessels and strangle the tumor.

Biomarkers are also seen in other cancer types as a potential screening tool. A new way of detecting ovarian cancer could make a significant dent in this disease, where 70 percent of patients are diagnosed after the tumor has grown large or spread. There are few or no symptoms early in the disease and no effective screening tests. Early diagnosis is crucial, marking the difference between a 95 percent survival rate for cancers found at the earliest stage and 20 percent survival among patients diagnosed with advanced disease. "All the things we could hope for are present with this approach: It has potential for diagnosis, imaging, treatment and prognosis. It needs more work and much more confirmation, but our early results are promising," Buckanovich says. Continued research will look at developing antibodies and methods to detect these novel proteins. "In some cases, these are genes that many people have never worked on before," Buckanovich says.

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  • gdpawel
    gdpawel Member Posts: 523 Member
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    UC Davis researchers find biomarkers that detect ovarian cancer

    The hunt is on to find biomarkers that detect cancer, but it’s a challenging process. Early successes often are followed by heartbreaking failures. But now, researchers at UC Davis have verified that glycans (sugars attached to proteins) can be used to detect ovarian cancer. The study was published online in the journal Cancer Epidemiology, Biomarkers & Prevention.

    “This is one of many papers we’ve done to see if glycans can distinguish between women who have ovarian cancer and those who don’t,” said senior author Gary Leiserowitz, chief of the Division of Gynecologic Oncology. “So far, the results have been consistent and promising.”

    Creating a diagnostic tool that identifies ovarian cancer early through analysis of a blood sample would be an enormous benefit. Because the disease produces indistinct symptoms, such as bloating, ovarian cancer is often diagnosed late, making it difficult to treat.

    The answer may be glycans, which are attached to over 50 percent of all proteins and often are altered when patients have cancer. By measuring these changes, the UC Davis team hopes to create a blood test that will find these cancers early.

    Building on their previous work, the team conducted a series of experiments to ensure their glycan measurements were indeed detecting cancer. While they wanted to succeed, they also wanted to find any flaws in their method.

    “You have to do these incredibly rigorous validation studies, because the vast majority of markers that look favorable turn out not to be reproducible,” said Leiserowitz. “We don’t want to raise people’s hopes, only to find we don’t have a valid marker.”

    Using mass spectrometry, which precisely analyzes molecules and determines their structures, the researchers studied glycans in healthy women and women with either early or advanced stage ovarian cancer.

    The first test, called a “training set,” measured different glycan expression in the serum samples and helped determine which sugars would help them differentiate between patient groups. The glycan-based biomarker panel developed with the training set distinguished women with ovarian cancer from healthy controls with 86 percent accuracy.

    The researchers then conducted a “test set,” applying those measurements to entirely new patient samples. This also produced excellent results, detecting cancer with 70 percent accuracy, including both early- and late-stage cancers. The glycan markers distinguished between healthy and early-stage cancers as well as the standard diagnostic blood test for ovarian cancer, CA 125.

    Because sample selection can bias results, they then swapped samples, creating a new training set with the patients from the previous testing set and vice versa. The results showed that the method works well, and that the developed markers are robust enough to be not overly influenced by patient selection.

    Researchers caution that additional study is needed before the markers are ready for clinical use because they don’t fully understand the mechanisms behind the glycan changes. While the changes could be caused by cancer, they might also represent the body’s reaction to cancer -- an inflammatory response, for example.

    Results of these tests can vary depending on which patients are tested. However, despite testing on different patient sample sets, the glycan markers continued to show promise as a diagnostic test for ovarian cancer.

    “We take all these rigorous step-wise approaches to eliminate the possibility of bias,” Leiserowitz said. “This paper establishes that these are consistent and reproducible findings. This is a real phenomenon.”

    Other authors include: Kyoungmi Kim, L. Renee Ruhaak, Uyen Thao Nguyen, Sandra L. Taylor, Lauren Dimapasoc, Cynthia Williams, Carol Stroble, Sureyya Ozcan, Suzanne Miyamoto and Carlito B. Lebrilla, all of UC Davis.

    This study was funded by the Ovarian Cancer Research Fund.

    UC Davis Comprehensive Cancer Center is the only National Cancer Institute comprehensive-designated center serving the Central Valley and inland Northern California, a region of more than 6 million people. Its top specialists provide compassionate, comprehensive care for more than 10,000 adults and children every year, and offer patients access to more than 150 clinical trials. Its innovative research program includes more than 280 scientists at UC Davis and Lawrence Livermore National Laboratory. Through the Cancer Care Network, UC Davis collaborates with a number of hospitals and clinical centers throughout the Central Valley and Northern California regions to offer the latest cancer-care services. Its community-based outreach and education programs address disparities in cancer outcomes across diverse populations.

    Citation: Cancer Epidemiology, Biomarkers & Prevention

  • gdpawel
    gdpawel Member Posts: 523 Member
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    gdpawel said:

    UC Davis researchers find biomarkers that detect ovarian cancer

    The hunt is on to find biomarkers that detect cancer, but it’s a challenging process. Early successes often are followed by heartbreaking failures. But now, researchers at UC Davis have verified that glycans (sugars attached to proteins) can be used to detect ovarian cancer. The study was published online in the journal Cancer Epidemiology, Biomarkers & Prevention.

    “This is one of many papers we’ve done to see if glycans can distinguish between women who have ovarian cancer and those who don’t,” said senior author Gary Leiserowitz, chief of the Division of Gynecologic Oncology. “So far, the results have been consistent and promising.”

    Creating a diagnostic tool that identifies ovarian cancer early through analysis of a blood sample would be an enormous benefit. Because the disease produces indistinct symptoms, such as bloating, ovarian cancer is often diagnosed late, making it difficult to treat.

    The answer may be glycans, which are attached to over 50 percent of all proteins and often are altered when patients have cancer. By measuring these changes, the UC Davis team hopes to create a blood test that will find these cancers early.

    Building on their previous work, the team conducted a series of experiments to ensure their glycan measurements were indeed detecting cancer. While they wanted to succeed, they also wanted to find any flaws in their method.

    “You have to do these incredibly rigorous validation studies, because the vast majority of markers that look favorable turn out not to be reproducible,” said Leiserowitz. “We don’t want to raise people’s hopes, only to find we don’t have a valid marker.”

    Using mass spectrometry, which precisely analyzes molecules and determines their structures, the researchers studied glycans in healthy women and women with either early or advanced stage ovarian cancer.

    The first test, called a “training set,” measured different glycan expression in the serum samples and helped determine which sugars would help them differentiate between patient groups. The glycan-based biomarker panel developed with the training set distinguished women with ovarian cancer from healthy controls with 86 percent accuracy.

    The researchers then conducted a “test set,” applying those measurements to entirely new patient samples. This also produced excellent results, detecting cancer with 70 percent accuracy, including both early- and late-stage cancers. The glycan markers distinguished between healthy and early-stage cancers as well as the standard diagnostic blood test for ovarian cancer, CA 125.

    Because sample selection can bias results, they then swapped samples, creating a new training set with the patients from the previous testing set and vice versa. The results showed that the method works well, and that the developed markers are robust enough to be not overly influenced by patient selection.

    Researchers caution that additional study is needed before the markers are ready for clinical use because they don’t fully understand the mechanisms behind the glycan changes. While the changes could be caused by cancer, they might also represent the body’s reaction to cancer -- an inflammatory response, for example.

    Results of these tests can vary depending on which patients are tested. However, despite testing on different patient sample sets, the glycan markers continued to show promise as a diagnostic test for ovarian cancer.

    “We take all these rigorous step-wise approaches to eliminate the possibility of bias,” Leiserowitz said. “This paper establishes that these are consistent and reproducible findings. This is a real phenomenon.”

    Other authors include: Kyoungmi Kim, L. Renee Ruhaak, Uyen Thao Nguyen, Sandra L. Taylor, Lauren Dimapasoc, Cynthia Williams, Carol Stroble, Sureyya Ozcan, Suzanne Miyamoto and Carlito B. Lebrilla, all of UC Davis.

    This study was funded by the Ovarian Cancer Research Fund.

    UC Davis Comprehensive Cancer Center is the only National Cancer Institute comprehensive-designated center serving the Central Valley and inland Northern California, a region of more than 6 million people. Its top specialists provide compassionate, comprehensive care for more than 10,000 adults and children every year, and offer patients access to more than 150 clinical trials. Its innovative research program includes more than 280 scientists at UC Davis and Lawrence Livermore National Laboratory. Through the Cancer Care Network, UC Davis collaborates with a number of hospitals and clinical centers throughout the Central Valley and Northern California regions to offer the latest cancer-care services. Its community-based outreach and education programs address disparities in cancer outcomes across diverse populations.

    Citation: Cancer Epidemiology, Biomarkers & Prevention

    When it comes to 'drug selection' in ovarian cancer

    Both genomics and proteomics can identify potential new therapeutic targets, but these targets require the determination of cellular endpoints, composed of hundreds of complex molecules that regulate the pathways necessary for vital cellular functions, in drug selection. If a targeted drug could perturb any one of these pathways, it is important to examine the effects of the drug within the context of the cell.

    The cytometric profiling platform has the capacity to measure genetic and proteomic events as a functional, real-time adjunct to static genomic and proteomic platforms. By examining small clusters of cancer cells (microspheroids) in their native state, a snapshot can be presented of the response of tumor cells to therapy, both combinations and targeted therapies.

    The introduction of targeted drugs has not been accompanied by specific predictive tests allowing for a rational and economical use of these drugs. However, given the technical and conceptual advantages of cell-based functional analysis, together with its performance and the modest efficacy of therapy prediction on analysis of genome and proteome expression, there is reason for a renewal in the interest of functional profiling assays for optimized use of medical treatment of malignant disease.

    Cancer Cytometric Testing More Accurate than Molecular Gene Testing

    http://cancerfocus.org/forum/showthread.php?t=3955

  • Alexandra
    Alexandra Member Posts: 1,308
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    Thank you GDPawel. Interesting reading.

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  • GSRon
    GSRon Member Posts: 1,303 Member
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    Alexandra said:

    Thank you GDPawel. Interesting reading.

    image

    Big time thanks... I

    Big time thanks... I forwarded this one to my two Cuzzies...!  Progress..!

    Ron - What brain..??  Cool