Although glycoproteomic studies provide unique opportunities for cancer research, it has been necessary to develop specific methods for analysis of oncologically interesting glycoproteins. We describe a general, multimethodological approach for quantitative glycoproteomic analysis of fucosylated glycoproteins in human blood serum. A total of 136 putative fucosylated glycoproteins were identified with very high confidence in three clinically relevant sample pools (N=5 for each), with a mean CV of 3.1% observed for replicate analyses. Two samples were collected from subjects diagnosed with esophagus disease states, high-grade dysplasia plus esophageal adenocarcinoma, while the third sample was representative of a disease-free condition. Some glycoproteins, observed to be significantly upregulated in esophageal adenocarcinoma, i.e. more than twofold higher than in the disease-free condition, are briefly discussed. Further investigation will be necessary to validate these findings; however, the method itself is demonstrated to be an effective tool for quantitative glycoproteomics of clinical samples.
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http://dx.doi.org/10.1002/elps.201000046 | DOI Listing |
Biochemistry (Mosc)
December 2024
Moscow Institute of Physics and Technology, Dolgoprudny, 141701, Russia.
Activation of the p38 mitogen-activated protein kinase (MAPK) pathways is vital in regulating cell growth, differentiation, apoptosis, and stress response, significantly affecting tumorigenesis and cancer progression. We developed a bioinformatic technique to construct an interactome network-based molecular pathways for genes of interest and quantify their activation levels using high-throughput gene expression data. This study is focused on the p38α, p38β, p38γ, and p38δ kinases, examining their activation levels (PALs) based on transcriptomic data and their associations with survival and drug responsiveness across various cancer types.
View Article and Find Full Text PDFJ Clin Med
January 2025
2nd Department of General Surgery and Surgical Oncology, Medical University Hospital, 50-556 Wroclaw, Poland.
The management of esophageal cancer (EC) remains a significant clinical challenge, particularly in optimizing therapeutic strategies for different stages and subgroups. This study assessed the impact of preoperative radiochemotherapy (CRT) on clinical staging and identified subgroups for whom definitive CRT (dCRT) may provide a favorable alternative to surgery. Sixty-one patients with esophageal adenocarcinoma or squamous cell carcinoma were enrolled.
View Article and Find Full Text PDFCancers (Basel)
January 2025
Department of Biostatistics, Data Science, and Epidemiology, School of Public Health, Georgia Cancer Center at Augusta University, Augusta, GA 30912, USA.
: Recent growth in the number and applications of high-throughput "omics" technologies has created a need for better methods to integrate multiomics data. Much progress has been made in developing unsupervised methods, but supervised methods have lagged behind. : Here we present the first algorithm, PLASMA, that can learn to predict time-to-event outcomes from multiomics data sets, even when some samples have only been assayed on a subset of the omics data sets.
View Article and Find Full Text PDFFront Immunol
January 2025
Department of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei, China.
Background: Adenocarcinoma of the esophagogastric junction (AEGJ) is a highly aggressive tumor that frequently metastasizes to the liver. Understanding the cellular and molecular mechanisms that drive this process is essential for developing effective therapies.
Methods: We employed single-cell RNA sequencing to analyze the tumor heterogeneity and microenvironmental landscape in patients with AEGJ liver metastases.
Surg Endosc
January 2025
Department of Surgery, Creighton University, Omaha, USA.
Background: Neoadjuvant Chemoradiation (nCRT) has been shown to improve survival in patients with Esophageal Adenocarcinoma (EAC). The objective of this study is to assess the patient characteristics associated with tumor downstaging in a large national database. Additionally, we evaluated surgical approach and change in clinical versus pathological staging as predictors of patient survival.
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