Background: Due to late diagnosis and resistance to chemotherapy, most patients with cholangiocarcinoma have an unfavorable prognosis. Despite the use of immunohistochemistry (IHC) in clinical routine, differentiation between intrahepatic cholangiocarcinoma (ICC) and secondary adenocarcinomas of the liver is frequently not clear, leading to false diagnosis and treatment decisions.
Methods: Oligonucleotide microarrays (Affymetrix Hu133A©) were used for gene expression analysis of ICC (n = 11) and secondary adenocarcinomas (colorectal metastases; n = 6). By two-dimensional cluster analysis a specific gene expression profile of these tumors was established and confirmed by real-time polymerase chain reaction and IHC.
Results: A total of 338 genes were significantly dysregulated (gene expression/fc ≥2; dysregulation in ≥60%) in both tumor groups. Using two-dimensional cluster analysis a fast, clear, and reproducible differentiation between ICC and colorectal metastases was possible in all cases. As potential biomarkers for differentiation, twelve genes (ICC: KRT7, DBN1, LCTB, LIF, STK17A, PIGF; metastases: TDGF1, HOXA9, TFF3, MYB, ABP1, BCL11A) were detected and will be used for further investigations.
Conclusions: A specific gene expression profile for discrimination of primary and secondary adenocarcinoma of the liver could be established. In addition, marker genes for both cancers and their potential use as discrimination markers in clinical routine were also described partially for the first time.
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http://dx.doi.org/10.1159/000489563 | DOI Listing |
Front Plant Sci
January 2025
College of Agronomy, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
The HAK/KUP/KT (High-affinity K transporters/K uptake permeases/K transporters) is the largest and most dominant potassium transporter family in plants, playing a crucial role in various biological processes. However, our understanding of HAK/KUP/KT gene family in potato ( L.) remains limited and unclear.
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January 2025
College of Agriculture and Biology, Liaocheng University, Liaocheng, China.
The wall-associated kinase (WAK) gene family encodes functional cell wall-related proteins. These genes are widely presented in plants and serve as the receptors of plant cell membranes, which perceive the external environment changes and activate signaling pathways to participate in plant growth, development, defense, and stress response. However, the WAK gene family and the encoded proteins in soybean (Glycine max (L.
View Article and Find Full Text PDFFront Plant Sci
January 2025
National Institute of Plant Biotechnology, Indian Council of Agricultural Research (ICAR), New Delhi, India.
The methylation- demethylation dynamics of RNA plays major roles in different biological functions, including stress responses, in plants. mA methylation in RNA is orchestrated by a coordinated function of methyl transferases (writers) and demethylases (Erasers). Genome-wide analysis of genes involved in methylation and demethylation was performed in pigeon pea.
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January 2025
Gynecologic Oncology Section, Stephenson Cancer Center, Obstetrics and Gynecology Department, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States.
Background/objectives: Patients with ovarian cancer commonly experience metastases and recurrences, which contribute to high mortality. Our objective was to better understand ovarian cancer metastasis and identify candidate biomarkers and drug targets for predicting and preventing ovarian cancer recurrence.
Methods: Transcripts of 770 cancer-associated genes were compared in cells collected from ascitic fluid versus resected tumors of an ES-2 orthotopic ovarian cancer mouse model.
Int J Genomics
January 2025
Department of General Medicine, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing Key Laboratory of Emergency Medicine, Chongqing, China.
() is associated with the development of various stomach diseases, one of the major risk factors for stomach adenocarcinoma (STAD). The infection score between tumor and normal groups was compared by single-sample gene set enrichment analysis (ssGSEA). The key modules related to infection were identified by weighted gene coexpression network analysis (WGCNA), and functional enrichment analysis was conducted on these module genes.
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