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Your search keyword '"Cathy van Horik"' showing total 2 results
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2 results on '"Cathy van Horik"'

1. Selection of potential targets for stratifying congenital pulmonary airway malformation patients with molecular imaging: is MUC1 the one?

Author

Cathy van Horik, Marius J.P. Zuidweg, Anne Boerema-de Munck, Marjon Buscop-van Kempen, Erwin Brosens, Alexander L. Vahrmeijer, Jan H. von der Thüsen, René M.H. Wijnen, Robbert J. Rottier, Willemieke S.F.J. Tummers, and J. Marco Schnater

Subjects
Diseases of the respiratory system, RC705-779
Abstract

Currently there is a global lack of consensus about the best treatment for asymptomatic congenital pulmonary airway malformation (CPAM) patients. The somatic KRAS mutations commonly found in adult lung cancer combined with mucinous proliferations are sometimes found in CPAM. For this risk of developing malignancy, 70% of paediatric surgeons perform a resection for asymptomatic CPAM. In order to stratify these patients into high- and low-risk groups for developing malignancy, a minimally invasive diagnostic method is needed, for example targeted molecular imaging. A prerequisite for this technique is a cell membrane bound target. The aim of this study was to review the literature to identify potential targets for molecular imaging in CPAM patients and perform a first step to validate these findings. A systematic search was conducted to identify possible targets in CPAM and adenocarcinoma in situ (AIS) patients. The most interesting targets were evaluated with immunofluorescent staining in adjacent lung tissue, KRAS+ CPAM tissue and KRAS– CPAM tissue. In 185 included studies, 143 possible targets were described, of which 20 targets were upregulated and membrane-bound. Six of them were also upregulated in lung AIS tissue (CEACAM5, E-cadherin, EGFR, ERBB2, ITGA2 and MUC1) and as such of possible interest. Validating studies showed that MUC1 is a potential interesting target. This study provides an extensive overview of all known potential targets in CPAM that might identify those patients at risk for malignancy and conducted the first step towards validation, identifying MUC1 as the most promising target.

Published
2023
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2. Quantitative CT imaging analysis to predict pathology features in patients with a congenital pulmonary airway malformation

Author

J. Marco Schnater, Sergei M. Hermelijn, Rene M. H. Wijnen, Harm A.W.M. Tiddens, Pierluigi Ciet, Maarten J. Mackenbach, Jan H. von der Thüsen, Cathy van Horik, Janina L. Wolf, Pediatric Surgery, Pediatrics, Radiology & Nuclear Medicine, and Pathology

Subjects
Inflammation, Pathology, medicine.medical_specialty, Lung, business.industry, Congenital pulmonary airway malformation, General Medicine, medicine.disease, Asymptomatic, Lesion, medicine.anatomical_structure, Cystic Adenomatoid Malformation of Lung, Congenital, Pediatrics, Perinatology and Child Health, Parenchyma, medicine, Humans, Surgery, Respiratory System Abnormalities, medicine.symptom, Abnormality, Tomography, X-Ray Computed, business, Airway
Abstract

Background Risk for infection and potential malignant degeneration are the most common arguments for resecting asymptomatic Congenital Pulmonary Airway Malformations (CPAM). We aimed to investigate if CT- imaging characteristics can be used to predict histopathological features, by using an objective quantitative CT scoring method. Methods Archival CPAM tissue samples were histologically re-assessed and patients who had a pre-operative volumetric CT-scan were included. Lung disease was quantified using the newly-developed congenital lung abnormality quantification(CLAQ) scoring method and obtained percentages were used to predict histopathological signs of inflammation and presence of mucinous proliferation (MP). Because MP is presumed a precursor for mucinous adenocarcinoma in situ (AIS) this method was also used to compare CT-scans of patients with AIS to those with only CPAM. Results Thirty-three CPAM patients were included of which 13(39%) had histological signs of inflammation and 8(24%) had a MP. Patients with inflammation had a significantly smaller lesion (14% vs 38%) while those with MP had more extensive disease (54%vs17%). Patients with AIS had a significantly smaller lesion compared to CPAM patients (5%vs29%). Significant predictors for inflammation were smaller lesion size and percentage hypodensity within lesions while a larger lesion size and percentage parenchymal hyperdensity (solid lung tissue components) were predictors for MP as well as AIS. Conclusions Smaller CPAM lesions may be more susceptible to inflammation while larger lesions may be associated with the presence of MP. Parenchymal hyperdensity is found as a predictor for MP as well as AIS and should therefore elicit more extensive gross sampling. Level of evidence Level III.

Published
2022
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