Publications by authors named "Buekers N"

Article Synopsis
  • Colonoscopy surveillance for colorectal cancer (CRC) can be burdensome for patients, and stool tests might help reduce the need for colonoscopies by identifying individuals at higher risk.
  • This study involved 3453 participants aged 50-75 who completed multiple stool tests and colonoscopies to assess the accuracy of these methods for detecting advanced neoplasia.
  • Results indicated that stool-based strategies could effectively reduce colonoscopy frequency by 15%-41% while being safer and more cost-effective, particularly with fecal immunochemical tests (FITs), although multitarget stool DNA testing was found to be more expensive.
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Over the past years, insights in the cancer neuroscience field increased rapidly, and a potential role for neurons in colorectal carcinogenesis has been recognized. However, knowledge on the neuronal distribution, subtypes, origin, and associations with clinicopathological characteristics in human studies is sparse. In this study, colorectal tumor tissues from the Netherlands Cohort Study on diet and cancer (n = 490) and an in-cohort validation population (n = 529) were immunohistochemically stained for the pan-neuronal markers neurofilament (NF) and protein gene product 9.

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Background: Current risk models for renal cell carcinoma (RCC) based on clinicopathological factors are sub-optimal in accurately identifying high-risk patients. Here, we perform a head-to-head comparison of previously published DNA methylation markers and propose a potential prognostic model for clear cell RCC (ccRCC).

Patients And Methods: Promoter methylation of PCDH8, BNC1, SCUBE3, GREM1, LAD1, NEFH, RASSF1A, GATA5, SFRP1, CDO1, and NEURL was determined by nested methylation-specific PCR.

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Purpose: Colonoscopy and the fecal immunochemical test (FIT) are currently the most widely used screening modalities for colorectal cancer (CRC), however, both with their own limitations. Here we aim to identify and validate stool-based DNA methylation markers for the early detection of CRC and investigate the biological pathways prone to DNA methylation.

Methods: DNA methylation marker discovery was performed using The Cancer Genome Atlas (TCGA) colon adenocarcinoma data set consisting of normal and primary colon adenocarcinoma tissue.

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