Novel sphingomyelin biomarkers for brain glioma and associated regulation research on the PI3K/Akt signaling pathway.

Glioma is one of the most common malignant tumor types of the central nervous system. It is necessary to identify biomarkers and novel therapeutic targets for glioma. The purpose of the present study was to distinguish lipid biomarkers with differential expression patterns in glioma tissues and normal brain tissues by matrix assisted laser desorption/ionization (MALDI)-imaging and MALDI-time of flight (TOF)-mass spectrometry (MS).

Germline mutations of PALB2 gene in a sequential series of Chinese patients with breast cancer.

Background: PALB2 (Partner and Localizer of BRCA2) is recently recognized as a breast cancer predisposition gene. Germline loss-of-function mutations in PALB2 lead to increased breast cancer risk. Since the germline mutation frequency of PALB2 is much less than BRCA1/2, the distinct mutation spectrum of PALB2 is still obscure.

Proteomic biomarker predicts therapeutical effects of oxaliplatin combining with fluoropyrimidine in metastatic gastric cancer patients by the SELDI-proteinchip platform.

Background/aims: To evaluate potential protein markers for oxaliplatin-based first-line chemotherapy of metastatic gastric cancer (MGC), we have used proteomic analysis to compare the difference of serum proteomic spectra between responsive and non-responsive MGC patients.

Methodology: Serum samples were collected before chemotherapy.Surface-enhanced laser desorption/ionisation time of-flight mass spectrometry (SELDI-TOF-MS) proteinchip array technology was applied to compare the differences of serous protein spectra between the twenty responsive patients and another fourteen non responsive patients.

Combining proteomics, serum biomarkers and bioinformatics to discriminate between esophageal squamous cell carcinoma and pre-cancerous lesion.

Objective: Biomarker assay is a noninvasive method for the early detection of esophageal squamous cell carcinoma (ESCC). Searching for new biomarkers with high specificity and sensitivity is very important for the early detection of ESCC. Serum surface-enhanced laser desorption/ionization-time of flight mass spectrometry (SELDI-TOF-MS) is a high throughput technology for identifying cancer biomarkers using drops of sera.

Capture, enrichment, and mass spectrometric detection of low-molecular-weight biomarkers with nanoporous silicon microparticles.

Mining the disease information contained in the low-molecular-weight range of a proteomic profile is becoming of increasing interest in cancer research. This work evaluates the ability of nanoporous silicon microparticles (NPSMPs) to capture, enrich, protect, and detect low-molecular-weight peptides (LMWPs) sieved from a pool of highly abundant plasma proteins. The average pore size and porosity of NPSMPs are controlled by the electrochemical preparation conditions, and the critical parameters for admission or exclusion of protein with a definite molecular weight are determined by reflectometric-interference Fourier transform spectroscopy (RIFTS).

[Application of serum protein fingerprint in diagnosis of pancreatic cancer].

Objective: To establish serum protein fingerprint model for early diagnosis of pancreatic cancer with surface enhanced laser desorption/ionization time of flight-mass spectrometry (SELDI-TOF-MS) and bioinformatics techniques.

Methods: A total of 73 samples were analyzed in this study, including 31 cases of pancreatic cancers, 22 cases of pancreatitis and 20 healthy individuals. Samples were first analyzed by SELDI-TOF-MS and two patterns of differentiation model were constructed with support vector machine arithmetic method.

Identification of a new protein biomarker for colorectal cancer diagnosis.

As one of the most common cancers, colorectal cancer (CRC) is a major public health issue worldwide. Thus, the identification of novel biomarkers to aid in the early diagnosis of CRC is crucial. The aim of the present study was to identify a novel protein biomarker for CRC, and to identify its structure.

Identification of the biomarkers for the prediction of efficacy in first-line chemotherapy of metastatic colorectal cancer patients using SELDI-TOF-MS and artificial neural networks.

Background/aims: For patients with metastatic colorectal cancer, both FOLFOX regimen and FOLFIRI regimen are considered as first-line choices. There are no clinically useful markers that could predict the response to these regimens respectively. We aimed at identifying serum protein patterns which could predict the efficacy of chemotherapy.

Proteomic analysis of primary colon cancer-associated fibroblasts using the SELDI-ProteinChip platform.

Objective: Cancer-associated fibroblasts (CAFs) are one of the hallmarks of the cancer microenvironment. Recent evidence has indicated that CAFs are more competent in enhancing cancer cell growth and migration than normal fibroblasts. However, the unique protein expression of CAFs has not been fully elucidated.

Apoptosis of non-tumor cells contributes to increased serum cytochrome c level in a neuroblastoma xenograft model.

Background: Neuroblastoma (NB) is one of the most common malignant solid tumors of childhood. It is still not clear whether the apoptosis of tumor cells or the non-tumor cells contributes to the increase of concentration of cytochrome c (Cyt c) in the serum of the cancer patients. The aim of this research was to identify the source of the Cyt c in the serum when the tumor grows up by subcutaneous inoculation of human NB cells into nude mice.

SPARCL1, Shp2, MSH2, E-cadherin, p53, ADCY-2 and MAPK are prognosis-related in colorectal cancer.

Aim: To investigate the expression of markers that are correlated with the prognosis of colorectal cancer (CRC) patients.

Methods: One hundred and fifty-six CRC patients were followed up for more than 3 years after radical surgery. Immunohistochemical (IHC) analysis was performed to detect the expression of 14 pathway-related markers (p53, APC, p21ras, E-cadherin, endothelin-B receptor, Shp2, ADCY-2, SPARCL1, neuroligin1, hsp27, mmp-9, MAPK, MSH2 and rho) in specimens from these patients.

Analysis of urinary proteomic patterns for type 2 diabetic nephropathy by ProteinChip.

Objective: To detect urinary proteomic profiling of patients with type 2 diabetes by using ProteinChip array technology, for searching new potential biomarkers in early diagnosis of type 2 diabetic nephropathy (T2DN).

Methods: A total of 95 urine samples from type 2 diabetic patients with normoalbuminuria (DM, n=30), microalbuminuria (DNl, n=25) and macroalbuminuria (DN2, n=20), and healthy controls (n=20) were analyzed by SELDI-TOF-MS (the surface-enhanced laser desorption/ionization time-of-flight mass spectrometry) technology combined with bioinformatics tools.

Results: Over 300 proteins or peptides from 1 to 80 kDa were obtained using ProteinChip.

Detection of nasopharyngeal carcinoma using surface-enhanced laser desorption and ionization mass spectrometry profiles of the serum proteome.

Background And Objective: Early diagnosis of nasopharyngeal carcinoma (NPC) is difficult due to the insufficient specificity of the conventional examination method. This study was to investigate potential and consistent biomarkers for NPC, particularly for early detection of NPC.

Methods: A proteomic pattern was identified in a training set (134 NPC patients and 73 control individuals) using the surface-enhanced laser desorption and ionization-mass spectrometry (SELDI-MS), and used to screen the test set (44 NPC patients and 25 control individuals) to determine the screening accuracy.

Identification biomarkers of eutopic endometrium in endometriosis using artificial neural networks and protein fingerprinting.

Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) protein chip array technology was used to detect biomarkers of eutopic endometrium in endometriosis patients. Five potential biomarkers (6,898 m/z, 5,891 m/z, 5,385 m/z, 6,448 m/z, and 5,425 m/z) were found.

Mining novel biomarkers for prognosis of gastric cancer with serum proteomics.

Background: Although gastric cancer (GC) remains the second cause of cancer-related death, useful biomarkers for prognosis are still unavailable. We present here the attempt of mining novel biomarkers for GC prognosis by using serum proteomics.

Methods: Sera from 43 GC patients and 41 controls with gastritis as Group 1 and 11 GC patients as Group 2 was successively detected by Surface Enhanced Laser Desorption/ionization Time of Flight Mass Spectrometry (SELDI-TOF-MS) with Q10 chip.

[Application of serum protein markers to distinguish familial adenomatous polyposis (FAP) and sporadic colorectal adenomas].

Objective: To screen out specifically-expressed serum protein markers in familial adenomatous polyposis (FAP) and to establish a serum protein fingerprint diagnostic model for distinguishing FAP from sporadic colorectal adenomas.

Methods: Serum samples were collected from 19 FAP cases and 16 sporadic colorectal adenomas with informed consent. Serum protein fingerprint profiles were detected by SELDI-TOF-MS with CM 10 protein chip to screen out FAP adenoma-related serum protein markers, and support vector machine (SVG) technique was used to establish the diagnostic model to distinguish FAP from sporadic colorectal adenomas.

[Screening and identification analysis of serum protein biomarkers in nephroblastoma].

Objective: To screen and characterize the serum protein biomarkers in nephroblastoma so as to establish the proteins as the specific serum biomarkers for diagnosis and prognosis monitoring.

Methods: The differential protein peaks were located by detecting serum samples of preoperative and postoperative patients and normal children using the SELDI-TOF MS technology. After purification, the differential proteins were further analyzed by LC-MS/MS and the protein sequences searched in database.

[Application of laser capture microdissection and surface-enhanced laser desorption ionization time-of-flight mass spectrometry to screen biomarkers for early diagnosis of lung adenocarcinoma].

Objective: To improve diagnostic methods to screen biomarkers for early diagnosis in lung adenocarcinoma by employing laser capture microdissection (LCM) and surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS) and support vector machine (SVM).

Methods: Frozen sections of thickness 8 microm were made using 6 cases of fresh lung cancer tissues and 4 cases of matched normal lung tissues. The sections were stained by improved HE solution.

[Protein profiles of serum in gastric cancer at a high-risk area by SELDI-TOF mass spectrometry].

Objective: To explore the specific and sensitive biomarkers for gastric cancer detection, a surface-enhanced laser desorption and ionization protein chip mass spectrometry (SELDI-TOF-MS) was used to generate protein profiles of serum in gastric cancer at a high-risk area.

Methods: A total of 36 gastric cancer cases and 46 subjects with superficial gastritis were selected from Linqu county, Shandong province, a high-risk area of gastric cancer. Serum samples were collected and Q10 protein chips were used to detect the serum proteomic patterns, and the sensitivity and specificity were assessed.

[Use of laser capture microdissection and surface-enhanced laser desorption ionization time-of-flight mass spectrometry to screen differential proteins in lung adenocarcinoma and lung squamous carcinoma].

Objective: To screen biomarkers for classification in lung adenocarcinoma and lung squamous carcinoma by using laser capture microdissection (LCM) and surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS) and support vector machine (SVM).

Methods: Six specimens of lung adenocarcinoma tissues and seven specimens of lung squamous carcinoma tissues obtained during operation were made into frozen sections and stained by improved H-E solution. About 1.

Discovering differential protein expression caused by CagA-induced ERK pathway activation in AGS cells using the SELDI-ProteinChip platform.

Aim: To identify the protein expression differences related to the CagA-induced ERK pathway activation in AGS cells.

Methods: Human AGS cells transfected with cagA and blank vector were treated with specific mitogen-activated protein kinase kinase (MEK) inhibitor. Total cell proteins were combined by strong anion exchange (SAX2) and weak cation exchange (CM10) ProteinChip arrays and analyzed using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) proteomics technology.

[Establishment of a diagnostic model of serum protein fingerprint pattern for esophageal cancer screening in high incidence area and its clinical value].

Objective: To analyze the alterations of serum proteomic pattern in esophageal squamous cell carcinoma (ESCC) by SELDI-TOF-MS, to establish a diagnostic model of ESCC screening in high incidence area and investigate its clinical value.

Methods: SELDI-TOF-MS and CM10 proteinChip were used to detect the serum proteomic patterns of 36 cases of ESCC and 38 healthy control subjects in high incidence area. The data were analyzed and a diagnostic model was established by using support vector machine (SVM).

Detection and significance of serum protein marker of Hirschsprung disease.

Objective: The objective of this study was to identify a specific fingerprint chromatogram model of serum proteins for early screening and diagnosis of Hirschsprung disease.

Methods: To detect the protein mass spectrograms of 78 serum specimens (42 specimens of Hirschsprung disease, 16 specimens of adhesive ileus including appendicitis and Meckel diverticulum after operation and inflammatory bowel disease, and 20 specimens of normal control subjects), we used surface-enhanced laser desorption/ionization time of flight mass spectrometry technology, combined with bioinformatics methods (support vector machine) to develop and compare protein mass spectrograms from serum samples.

Results: We identified 3 protein markers, the mass-to-charge ratio of which is positioned at 3221.