A recent study conducted by Cedars-Sinai Cancer has revealed that up to 80% of patients with early-stage pancreatic cancer are inaccurately staged. This significant finding underscores the urgent need for advancements in staging and diagnostic technologies, which could greatly impact early pancreatic cancer research and treatment.
The study, published in the peer-reviewed journal JAMA, analyzed data from over 48,000 patients in the National Cancer Database. All participants had been diagnosed with either stage 1 or stage 2 pancreatic cancer based on preoperative imaging.
The research found that more than 78% of stage 1 patients and over 29% of stage 2 patients were upstaged after surgery, often to a stage that included lymph node involvement.
Lymph nodes, crucial for cancer staging, are a key factor distinguishing early-stage from later-stage pancreatic cancer. The study highlights that staging inaccuracies often arise because imaging fails to detect lymph node involvement, impacting treatment decisions and research eligibility.
Dr. Srinivas Gaddam, associate director of Pancreatic Biliary Research at Cedars-Sinai and senior author of the study, explained the difficulties in diagnosing and staging pancreatic cancer. The pancreas is located deep within the body, making it challenging for current imaging technologies to detect smaller tumors or lymph node involvement.
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Cedars-Sinai Cancer’s director, Dr. Dan Theodorescu, emphasized the need for improved diagnostic tools. The institution is developing advanced tests through its Molecular Twin Precision Oncology Platform, which aims to enhance diagnosis and guide precise treatment.
Pancreatic cancer screening typically employs MRI and endoscopic ultrasound. Screening is advised for individuals with a family history of pancreatic cancer or those carrying specific genetic variants associated with the disease.
The findings from Cedars-Sinai highlight a critical gap in the current methods for diagnosing and staging pancreatic cancer. The high rate of mis-staging among early-stage patients calls for a reassessment of existing imaging technologies and protocols.
As the field moves forward, these insights will be pivotal in shaping future research and clinical practices, with the goal of improving diagnostic accuracy and patient care.
(WITH INPUTS FROM ANI)
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