Search

Despite advances in understanding the development and progression of cancer in recent years, there remains a lack of comprehensive characterization of the cancer glycoproteome. Glycoproteins play an important role in medicine and are involved in various human disease conditions including cancer. Glycan-moieties participate in fundamental cancer processes like cell signaling, invasion, angiogenesis, and metastasis. Aberrant N -glycosylation significantly impacts cancer processes and targeted therapies in clinic. Therefore, understanding N -glycosylation in a tumor is essential for comprehending disease progression and discovering anti-cancer targets and biomarkers for therapy monitoring and diagnosis. This review presents the fundamental process of protein N -glycosylation and summarizes glycosylation changes in tumor cells, including increased terminal sialylation, N -glycan branching, and core-fucosylation. Also, the role of N -glycosylation in tumor signaling pathways, migration, and metabolism are discussed. Glycoproteins and glycopeptides as potential biomarkers for early detection of cancer based on site specificity have been introduced. Collectively, understanding and exploring the cancer glycoproteome, along with its role in medicine, implication in cancer and other human diseases, highlights the significance of N -glycosylation in tumor processes, necessitating further research for potential anti-cancer targets and biomarkers., Competing Interests: The authors declare no conflicts of interest., (© 2024 The Authors.)

In recent years, extracellular vesicles (EVs) have gained attention for their potential as biomarkers for the early diagnosis and treatment of various diseases. Traditionally, EV isolation has relied exclusively on ultracentrifugation. However, alternative enrichment methods such as size-exclusion chromatography (SEC) and polyethylene glycol-based precipitation have been introduced. This study utilized SEC as a characterization tool to assess the efficiency of EV isolation. Urinary EVs isolated from human urine using centrifugation (40,000 × g) were analyzed using an SEC column with a pore size of 1000 Å, an inner diameter of 7.8 mm, and a length of 300 mm. The EVs were detected sequentially using UV (280 nm) and fluorescence (λex/em = 550 nm/565 nm); the EVs were observed at approximately 6 min, while the proteins were observed at approximately 12 min. The repeated centrifugation enrichment steps resulted in an increase in EV peaks and a decrease in protein peaks. SEC analysis of the enriched EV samples confirmed that a four-cycle repetition of centrifugation is necessary for successful EV enrichment and removal of non-EV proteins from 40 mL of human urine., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier B.V. All rights reserved.)

Hepatocellular carcinoma (HCC) is the fourth most common cause of cancer-related mortality worldwide and 80%-90% of HCC develops in patients that have underlying cirrhosis. Better methods of surveillance are needed to increase early detection of HCC and the proportion of patients that can be offered curative therapies. Recent work in novel mass spec-based methods for glycomic and glycopeptide analysis for discovery and confirmation of markers for early detection of HCC versus cirrhosis is reviewed in this chapter. Results from recent work in these fields by several groups and the progress made in developing markers of early HCC which can outperform the current serum-based markers are described and discussed. Also, recent developments in isoform analysis of glycans and glycopeptides and in various mass spec fragmentation methods will be described and discussed., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Alcoholic liver disease (ALD) and nonalcoholic fatty liver disease (NAFLD) are typically asymptomatic and slow-progressing but potentially fatal diseases that are common causes of liver cirrhosis and related complications. Exosomes are nano-sized extracellular vesicles that have been linked to various intercellular communication processes and can carry biological materials reflecting the state and severity of disease. In this study, shotgun proteomic analysis of the protein expression profiles of extracellular vesicles, including exosomes and microvesicles, enriched from human serum samples of 24 patients diagnosed with various fatty liver diseases was performed using liquid chromatography tandem mass spectrometry (LC-MS/MS) followed by protein identification and label-free quantification using the MaxQuant platform. A total of 329 proteins, including 190 previously reported exosome-specific proteins, were identified from four types of liver disease, where significant differences in protein expression were found in apolipoproteins, immunoglobulins, and other previously reported markers of liver disease. Principal component analysis of 61 proteins identified from MaxQuant analysis of the LC-MS/MS data provided a confident differentiation between ALD and NAFLD. SIGNIFICANCE: The current investigation revealed the difference among various types of liver disease using LC-MS/MS of exosomes enriched from human serum samples of 24 patients where the most significantly up-regulation proteins were alpha-2-macroglobulin for alcoholic hepatitis and apolipoprotein C3 for nonalcoholic fatty liver disease., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Exosomes are membrane-bound, cell-secreted vesicles, with sizes ranging from 30 to 150 nm. Exosomes in blood plasma have become proposed targets as measurable indicators of disease conditions. Current methods for plasma-based exosome isolation are time-consuming, complex, and have high operational costs. One of the most commonly reported shortcomings of current isolation protocols is the co-extraction of lipoproteins (e.g. low-density lipoproteins, LDLs) with the target exosomes. This report describes the use of a rapid, single-operation hydrophobic interaction chromatography (HIC) procedure on a polyester (PET) capillary-channeled polymer (C-CP) fiber column, demonstrating the ability to efficiently purify exosomes. The method has previously been demonstrated for isolation of exosomes from diverse biological matrices, but questions were raised about the potential co-elution of LDLs. In the method described herein, a step-gradient procedure sequentially elutes spiked lipoproteins and blood plasma-originating exosomes in 10 min, with the LDLs excluded from the desired exosome fraction. Mass spectrometry (MS) was used to characterize an impurity in the primary LDL material, identifying the presence of exosomal material. Transmission electron microscopy (TEM) and an enzyme-linked immunosorbent assay (ELISA) were used to identify the various elution components. The method serves both as a rapid means of high purity exosome isolation as well as a screening tool for the purity of LDL samples with respect to extracellular vesicles., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Purpose: To identify new plasma proteomic markers before radiotherapy start to predict later grade ≥2 radiation-induced lung toxicity (RILT2)., Methods: Fifty-seven patients with non-small cell lung cancer received radiotherapy (RT) were eligible. Forty-eight patients with minimum follow-up of 1 year, nine with RILT2 with tumor stage matched to 39 without RILT2, were enrolled for this analysis. Platelet-poor plasma was obtained within 2 weeks before radiotherapy. The plasma proteomes were compared using a multiplexed quantitative proteomics approach involving ExacTag labeling, reverse-phase high-performance liquid chromatography, and nano liquid chromatography electrospray ionization tandem mass spectrometry. Z scores and Bonferroni-adjusted p values for the two-sample mean comparison were used to identify the differential protein expression between patients with and without RILT2., Results: More than 200 proteins were identified and quantified. After excluding proteins that were not detected in at least 40% of the 48 patient samples, C4b-binding protein alpha chain and vitronectin had significantly higher (p < 0.001 and p = 0.02) expression levels in patients with RILT2 compared with patients without RILT2. These two proteins were validated by Western blot. Ingenuity pathway analysis revealed that they both play important roles in the inflammatory response and are associated with the known pathways of radiation-induced lung damage., Conclusions: This proteomic approach demonstrates new plasma protein biomarkers before treatment for future studies on RILT2 prediction.

Multi-dimensional liquid-based separation is required for fractionation and mapping of complex protein mixtures from cells. A method that has been used as the first dimension in such separations is chromatofocusing (CF), which is based on generating a pH gradient on an anion exchange column. The use of pH in the first dimension is essential where pH is a fundamental property of proteins and can provide information on post-translationally modified forms of a protein. In this work, a micro-chromatofocusing technique is introduced which can separate microgram levels of proteins from cell lysates for further analysis by LC-MS/MS. It is shown that this method can analyze 10 microg of sample and detect nearly 700-800 proteins from ovarian cancer cell line lysates.

Major advances in cancer control depend upon early detection, early diagnosis and efficacious treatment modalities. Current existing markers of pancreatic ductal adenocarcinoma, generally incurable by available treatment modalities, are inadequate for early diagnosis or for distinguishing between pancreatic cancer and chronic pancreatitis. We have used a proteomic approach to identify proteins that are differentially expressed in sera from pancreatic cancer patients, as compared to control. Normal, chronic pancreatitis and pancreatic cancer serum samples were depleted of high molecular weight proteins by acetonitrile precipitation. Each sample was separated by chromatofocusing, and then further resolved by reversed-phase (RP)-HPLC. Effluent from the RP-HPLC column was split into two streams with one directly interfaced to an electrospray time-of-flight (ESI-TOF) mass spectrometer for molecular weight (MW) determination of the intact proteins. The remainder went through a UV detector with the corresponding peaks collected with a fraction collector, subsequently used for MS/MS analysis. The ion intensities of proteins with the same MW obtained from ESI-TOF-MS analysis were compared, with the differentially expressed proteins determined. An 8915 Da protein was found to be up-regulated while a 9422 Da protein was down-regulated in the pancreatic cancer sera. Both proteins were identified by MS and MS/MS as proapolipoprotein C-II and apolipoprotein C-III(1), respectively. The MS/MS data of proapolipoprotein C-II was searched using "semi-trypsin" as the search enzyme, thus confirming that the protein at 8915 Da was proapolipoprotein C-II. In order to confirm the identity of the protein at 9422 Da, we initially identified a protein of 8765 Da with a similar mass spectral pattern. Based on MS and MS/MS, its intact molecular weight and "semi-trypsin" database search, the protein at 8765 Da was identified as apolipoprotein C-III(0). The MS and MS/MS data of the proteins at 8765 Da and 942 Da were similar, thus confirming the protein at 9422 Da as being apolipoprotein C-III(1). The detection of differentially expressed proapolipoprotein C-II and apolipoprotein C-III(1) in the sera of pancreatic cancer patients may have utility for detection of this deadly malignancy.

Burkholderia cenocepacia is an important respiratory pathogen in persons with cystic fibrosis. We compared the proteomes of clinical and environmental isolates of B. cenocepacia by using a 2D liquid separation method coupled with mass spectrometry. Proteome maps of four B. cenocepacia isolates were generated. In the first dimension, 5 mg of protein from each isolate was fractionated by chromatofocusing (CF) in the range of pH 4.0-7.0. In the second dimension, each CF fraction was separated by NPS-RP-HPLC. Results of the 2D liquid separation were visualized as 2D UV maps, which allowed direct comparison of proteomes with high resolution and reproducibility. From the proteomic comparison of the four isolates, 38 of 96 differentially abundant proteins were identified by peptide mass fingerprinting and MS/MS sequence analysis using a partially annotated B. cenocepacia protein database. Many of the identified proteins in the clinical isolates are involved in gene translation and bacterial virulence such as transmissibility, resistance, and quorum sensing.

A novel two-dimensional (2D) chromatographic method is developed to separate proteins from malignant breast cancer whole cell lysates. Protein mixtures are first separated according to their pIby chromatofocusing followed by an orthogonal non-porous reversed-phase separation. An important advantage of this 2D chromatographic method is that, unlike gel-based methods, it does not result in methionine oxidation. The lack of methionine oxidation during separation is demonstrated by the analysis of protein tryptic digests using matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) MS. Our novel 2D chromatographic method used in combination with on-target light-induced methionine oxidation provides a means for studying methionine-containing peptides. Methionine residues in peptide sequences are partially oxidized with light exposure. Neither the location nor the modification of methionine in the peptide sequence affects the oxidation. As a result, multiple peaks are observed in MALDI-TOF-MS spectra after light exposure. Sequence information derived from light-induced methionine can be applied to enhance the database search results obtained through peptide mass fingerprinting.

A review of two-dimensional (2D) liquid separation methods used in our laboratory to map the protein content of human cancer cells is presented herein. The methods discussed include various means of fractionating proteins according to isoelectric point (pI) in the first dimension. The proteins in each pI fraction are subsequently separated using nonporous (NPS) reversed-phase high-performance liquid chromatography (RP-HPLC). The liquid eluent of the RP-HPLC separation is directed on-line into an electrospray ionization time-of-flight (ESI-TOF) mass spectrometer where an accurate value of the protein intact M(r) can be obtained. The result is a 2D map of pI versus M(r) analogous to 2D gel electrophoresis; however the highly accurate and reproducible M(r) serves as the basis for interlysate comparisons. In addition, the use of liquid separations allows for the collection of hundreds of purified proteins in the liquid phase for further analysis via peptide mass mapping using matrix assisted laser desorption ionization TOF MS. A description of the methodology used and its applications to analysis of several types of human cancer cell lines is described. The potential of the method for differential proteomic analysis for the identification of biomarkers of disease is discussed.

A three-dimensional method has been developed to map the protein content of cells according to pI, M(w) and hydrophobicity. The separation of complex protein mixtures from cells is performed using isoelectric focusing (IEF) in the liquid phase in the first dimension, non-porous silica (NPS) RP-HPLC in the second dimension and on-line electrospray ionization (ESI) time-of-flight mass spectrometry (TOF-MS) detection in the third dimension. The experimentally determined pI, M(w) and hydrophobicity can then be used to produce a three-dimensional map of the protein expression of a cell, where now each protein can be tagged by three independent parameters. The ESI-TOF-MS provides an accurate M(w) for the intact protein while the hydrophobicity dimension results from the RP-HPLC component of the separation. The elution time, or percent acetonitrile at time of elution, of the protein is related to the hyrophobicity, which is an inherent property of the protein. 3D protein maps can thus be generated showing pI, M(w) and % acetonitrile at time of elution as well as pI, M(w) and hydrophobicity. The potential of the 3D plot for effective mapping of proteins from cells compared to current 2D methods is discussed.