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Simple Blood Tests Could Revolutionize Personalized Cancer Treatment
BALTIMORE - Marylandian -- Baltimore, MD - Dr. George Laliotis, a distinguished physician-scientist, has led a groundbreaking study that could revolutionize the way we approach cancer treatment. His team has discovered that simple blood tests could accurately predict the effectiveness of immunotherapy in patients suffering from head and neck squamous cell carcinoma (HNSCC).
Immunotherapy, specifically immune checkpoint inhibitors (ICIs), has been a game-changer in cancer treatment. However, only a small percentage of patients respond to the treatment, and it often comes with severe side effects. Moreover, the assessment of genetic and molecular predictive factors is expensive and time-consuming.
Dr. Laliotis and his team have identified new predictive factors that can quickly, affordably, and accurately measure the response of HNSCC patients to immunotherapy. This discovery could lead to improved clinical care in medical oncology and a significant step towards personalized medicine.
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The team's research proposes straightforward predictive tools obtained from a standard blood draw. These tools measure red blood cells, platelets, lactate dehydrogenase (LDH), hemoglobin, and albumin levels. Combined with basic epidemiological variables and additional clinical criteria, these tools could predict the response of HNSCC patients to ICI treatment.
The researchers demonstrated that these factors are strong predictors of clinical outcomes. They collected data from a sample of 200 patients treated with a single-agent PD-1 inhibitor and monitored for a short follow-up period of four years. The results conclusively found that these factors are strong predictors of the clinical outcomes of these patients.
This breakthrough discovery of precision-medicine markers through cheap and widely available tools means cancer treatment could be more precisely tailored to the needs of each patient, improving patient outcomes. Moreover, it's an accessible and affordable approach that could be adopted by healthcare systems worldwide.
Dr. Laliotis and his team are among the first to show how commonly used clinical techniques, like taking blood samples and looking at a patient's clinical history, can help clinicians predict how HNSCC patients will respond to immunotherapy. This breakthrough discovery of precision-medicine markers through cheap and widely available tools means cancer treatment could be more precisely tailored to the needs of each patient, improving patient outcomes. Moreover, it's an accessible and affordable approach that could be adopted by healthcare systems worldwide.
More on Marylandian
For more information about Dr. George Laliotis and his research, please visit georgelaliotis.com.
The full details of the study can be found at Research Outreach.
About Dr. George Laliotis
Dr. George Laliotis is a physician and scientist. With a decade of experience in clinical, medical affairs, and research, George is dedicated to advancing his knowledge and skills to improve patient care.
George Laliotis
Website: georgelaliotis.com
Linkedin: www.linkedin.com/in/george-laliotis-56850779
Twitter: https://twitter.com/Geor_Laliot
Immunotherapy, specifically immune checkpoint inhibitors (ICIs), has been a game-changer in cancer treatment. However, only a small percentage of patients respond to the treatment, and it often comes with severe side effects. Moreover, the assessment of genetic and molecular predictive factors is expensive and time-consuming.
Dr. Laliotis and his team have identified new predictive factors that can quickly, affordably, and accurately measure the response of HNSCC patients to immunotherapy. This discovery could lead to improved clinical care in medical oncology and a significant step towards personalized medicine.
More on Marylandian
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The team's research proposes straightforward predictive tools obtained from a standard blood draw. These tools measure red blood cells, platelets, lactate dehydrogenase (LDH), hemoglobin, and albumin levels. Combined with basic epidemiological variables and additional clinical criteria, these tools could predict the response of HNSCC patients to ICI treatment.
The researchers demonstrated that these factors are strong predictors of clinical outcomes. They collected data from a sample of 200 patients treated with a single-agent PD-1 inhibitor and monitored for a short follow-up period of four years. The results conclusively found that these factors are strong predictors of the clinical outcomes of these patients.
This breakthrough discovery of precision-medicine markers through cheap and widely available tools means cancer treatment could be more precisely tailored to the needs of each patient, improving patient outcomes. Moreover, it's an accessible and affordable approach that could be adopted by healthcare systems worldwide.
Dr. Laliotis and his team are among the first to show how commonly used clinical techniques, like taking blood samples and looking at a patient's clinical history, can help clinicians predict how HNSCC patients will respond to immunotherapy. This breakthrough discovery of precision-medicine markers through cheap and widely available tools means cancer treatment could be more precisely tailored to the needs of each patient, improving patient outcomes. Moreover, it's an accessible and affordable approach that could be adopted by healthcare systems worldwide.
More on Marylandian
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For more information about Dr. George Laliotis and his research, please visit georgelaliotis.com.
The full details of the study can be found at Research Outreach.
About Dr. George Laliotis
Dr. George Laliotis is a physician and scientist. With a decade of experience in clinical, medical affairs, and research, George is dedicated to advancing his knowledge and skills to improve patient care.
George Laliotis
Website: georgelaliotis.com
Linkedin: www.linkedin.com/in/george-laliotis-56850779
Twitter: https://twitter.com/Geor_Laliot
Source: georgelaliotis.com
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