Publications by authors named "Joost Louwagie"

Background: The fecal immunochemical test (FIT) for detecting hemoglobin is used widely for noninvasive colorectal cancer (CRC) screening, but its sensitivity leaves room for improvement.

Objective: To identify novel protein biomarkers in stool that outperform or complement hemoglobin in detecting CRC and advanced adenomas.

Design: Case-control study.

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Diversity in colorectal cancer biology is associated with variable responses to standard chemotherapy. We aimed to identify and validate DNA hypermethylated genes as predictive biomarkers for irinotecan treatment of metastatic CRC patients. Candidate genes were selected from 389 genes involved in DNA Damage Repair by correlation analyses between gene methylation status and drug response in 32 cell lines.

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Identifying biomarkers in body fluids may improve the noninvasive detection of colorectal cancer. Previously, we identified N-Myc downstream-regulated gene 4 (NDRG4) and GATA binding protein 5 (GATA5) methylation as promising biomarkers for colorectal cancer in stool DNA. Here, we examined the utility of NDRG4, GATA5, and two additional markers [Forkhead box protein E1 (FOXE1) and spectrin repeat containing nuclear envelope 1 (SYNE1)] promoter methylation as biomarkers in plasma DNA.

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Background: Colitis-associated colorectal cancer affects individuals with inflammatory bowel disease (IBD) more often and earlier than cancer in the general population. Colonoscopy provides the surveillance gold standard. Changes to the surveillance intervals depending on endoscopic activity have been made, given data demonstrating that this is an important predictor of future dysplasia or cancer, but adjuvant, noninvasive clinical tools are still warranted to improve surveillance outcomes and to assist in management and interpretation of dysplasia.

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Background: Stool-based molecular tests hold large potential for improving colorectal cancer screening. Here, we investigated the analytical sensitivity of a DNA methylation assay on partial stool samples, and estimated the DNA degradation in stool over time. In addition, we explored the detection of DNA methylation in fecal immunochemical test (FIT) fluid.

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Using a bioinformatics-based strategy, we set out to identify hypermethylated genes that could serve as biomarkers for early detection of colorectal cancer (CRC) in stool. In addition, the complementary value to a Fecal Immunochemical Test (FIT) was evaluated. Candidate genes were selected by applying cluster alignment and computational analysis of promoter regions to microarray-expression data of colorectal adenomas and carcinomas.

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The goal of this retrospective, multicenter study was to evaluate the ability of a newly developed refinement of a quantitative methylation-specific PCR assay to detect prostate cancer in histopathologically negative biopsy samples collected from men who were later positively diagnosed during a follow-up biopsy procedure. Biomarkers tested in the assay included the much-studied glutathione-S-transferase P1 gene and others reported to be frequently methylated in prostate cancer. Core biopsy tissue from subjects with serial negative biopsies served as a negative control to assess assay specificity.

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In addition to genetic changes, the occurrence of epigenetic alterations is associated with accumulation of both genetic and epigenetic events that promote the development and progression of human cancer. Previously, we reported a set of candidate genes that comprise part of the emerging "cancer methylome". In the present study, we first tested 23 candidate genes for promoter methylation in a small number of primary colon tumor tissues and controls.

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Background: Identification of hypermethylated tumor suppressor genes in body fluids is an appealing strategy for the noninvasive detection of colorectal cancer. Here we examined the role of N-Myc downstream-regulated gene 4 (NDRG4) as a novel tumor suppressor and biomarker in colorectal cancer.

Methods: NDRG4 promoter methylation was analyzed in human colorectal cancer cell lines, colorectal tissue, and noncancerous colon mucosa by using methylation-specific polymerase chain reaction (PCR) and bisulfite sequencing.

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Article Synopsis
  • Scientists studied GATA4 and GATA5, two proteins that help with gut development, to see if they can help find colorectal cancer in patients.
  • They found that a lot of cancer patients had these proteins turned off because of something called methylation, while only a few healthy people had this issue.
  • GATA4 and GATA5 can stop cancer cells from growing, and checking for GATA4 in poop could help doctors catch colorectal cancer early.
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We have used a gene expression array-based strategy to identify the methylation of tissue factor pathway inhibitor 2 (TFPI2), a potential tumor suppressor gene, as a frequent event in human colorectal cancers (CRC). TFPI2 belongs to the recently described group of embryonic cell Polycomb group (PcG)-marked genes that may be predisposed to aberrant DNA methylation in early stages of colorectal carcinogenesis. Aberrant methylation of TFPI2 was detected in almost all CRC adenomas (97%, n = 56) and stages I to IV CRCs (99%, n = 115).

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Background: The distribution of promoter methylation throughout the lungs of patients with non-small cell lung cancer (NSCLC) is unknown. In this explorative study, we assessed the methylation status of the promoter region of 11 genes in brush samples of 3 well-defined endobronchial locations in patients with NSCLC and in brushes of former and current smokers without NSCLC.

Materials And Methods: The methylation status of RASSF1A, GATA4, GATA5, SFRP1, RARbeta2, DAPK, MGMT, p16, p14, CHFR and APC2 was determined in all samples using real-time methylation-specific PCR.

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Background: Resistance testing is increasingly accepted as a tool in guiding the selection of human immunodeficiency virus type 1 (HIV-1) antiretroviral therapy in HIV-1 infected individuals who fail their current regimen.

Objectives: To descriptively compare the correlation between virologic treatment response and results using three genotypic HIV-1 drug resistance interpretation systems: the VERSANT HIV-1 Resistance Assay (LiPA) system and two sequence-based interpretation systems.

Study Design: Specimens from 213 HIV-1-infected subjects, either starting (n=104) or switching to (n=109) a regimen of three or four antiretroviral drugs, were collected retrospectively at baseline and after 3 months of uninterrupted therapy.

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