CDX-2 is a homeobox gene, which encodes a transcription factor that plays a vital role in the development and differentiation of intestinal epithelial cells. Recent studies showed that CDX-2 protein expression by immunohistochemistry (IHC) has a high predictive value for confirming the diagnosis of colorectal adenocarcinoma (ACA). The differentiation of primary pulmonary ACA from metastatic colorectal ACA can be extremely challenging on fine-needle aspiration (FNA). The results of immunostains for TTF-1, CK 7, and CK 20 may be controversial in the differential diagnosis. In this study, we evaluated the clinical utility of CDX-2 in lung FNA specimens. Cell blocks from 41 primary lung and 20 colorectal ACAs metastatic to the lungs were retrieved. Cell block sections were immunostained with a CDX-2 monoclonal antibody. Sensitivity and specificity of CDX-2 for colorectal ACA was 75 and 100%, respectively. All five cases negative for CDX-2 were moderately to poorly differentiated colorectal ACAs. Our study confirms that CDX-2 is a highly useful immunohistochemical marker for the differentiation of primary pulmonary ACA from colorectal ACA metastatic to the lungs in FNA specimens. Of diagnostic importance is the loss of CDX-2 immunoreactivity in poorly differentiated colorectal ACAs.
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http://dx.doi.org/10.1002/dc.20403 | DOI Listing |
Commun Biol
December 2024
Laboratoire de Recherche en Imagerie du Vivant, PARCC, INSERM U970, Université Paris Cité, Paris, France.
Anastomotic leak occurrence is a severe complication after colorectal surgery. Considering the difficulty of treating these leaks and their impact on patient care, there is a strong need for an efficient prevention strategy. We evaluated a combination of extracellular vesicles (EVs) from rat adipose-derived stromal cells with a thermoresponsive gel, Pluronic® F127 (PF-127) to prevent anastomotic leaks.
View Article and Find Full Text PDFJ Natl Cancer Inst
October 2024
Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.
Artif Intell Med
September 2024
College of computer science and technology (College of data science), Taiyuan University of Technology, Taiyuan, 030024, Shanxi, China. Electronic address:
Accurate prediction of Kirsten rat sarcoma (KRAS) mutation status is crucial for personalized treatment of advanced colorectal cancer patients. However, despite the excellent performance of deep learning models in certain aspects, they often overlook the synergistic promotion among multiple tasks and the consideration of both global and local information, which can significantly reduce prediction accuracy. To address these issues, this paper proposes an innovative method called the Multi-task Global-Local Collaborative Hybrid Network (CHNet) aimed at more accurately predicting patients' KRAS mutation status.
View Article and Find Full Text PDFJ Eval Clin Pract
December 2024
Department of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, USA.
Objectives: Among the provisions within the Affordable Care Act (ACA), expanding Medicaid was arguably the greatest contributor to increasing access to care. For over a decade, researchers have investigated how Medicaid expansion impacted cancer outcomes. Over this same decade, statistical theory illuminated how state-based policy research could be compromised by invalid inference.
View Article and Find Full Text PDFHealth Serv Res
December 2024
University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Objective: To examine differential changes in receipt of surgery at National Cancer Institute (NCI)-designated comprehensive cancer centers (NCI-CCC) and Commission on Cancer (CoC) accredited hospitals for patients with cancer more likely to be newly eligible for coverage under Affordable Care Act (ACA) insurance expansions, relative to those less likely to have been impacted by the ACA.
Data Sources And Study Setting: Pennsylvania Cancer Registry (PCR) for 2010-2019 linked with discharge records from the Pennsylvania Health Care Cost Containment Council (PHC4).
Study Design: Outcomes include whether cancer surgery was performed at an NCI-CCC or a CoC-accredited hospital.
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