Biomarker Identification in Human Pancreatic Cancer Sera

Hanas, Jay S.; Hocker, James R.; Cheung, John Y.; Larabee, Jason L.; Lerner, Megan R.; Lightfoot, Stan; Morgan, Daniel L.; Denson, Kent D.; Prejeant, Kristi C; Gusev, Yuiry; Smith, Brenda J.; Hanas, Rushie J.; Postier, Russell G.; Brackett, Daniel J.

doi:10.1097/mpa.0b013e3180d0a738

Cited by 61 publications

(68 citation statements)

References 26 publications

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“…ApoE is non-covalently bound to A2M in human plasma, and therefore, the present in silico analysis of ApoE binding may provide insights into the pathogenic and intracellular role of ApoE in cancer cells. In addition, A2M has previously been reported as a candidate biomarker for the early diagnosis in numerous types of cancers, including gastric cancer (27)(28)(29).…”

Section: Resultsmentioning

confidence: 99%

Expression analysis of apolipoprotein E and its associated genes in gastric cancer

Shi

Wang

et al. 2015

Oncology Letters

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Abstract. Gastric cancer is a common type of cancer worldwide, and has a poor prognosis, in part due to the low rates of early diagnosis and the limited treatment methods available. Apolipoprotein E (ApoE) is involved in exogenous cholesterol transport and may be important in enabling tumor cells to fulfill their high cholesterol requirements. A number of reports have indicated that ApoE affects the development and prognosis of gastric cancer. Therefore, the aim of the present study was to investigate the genes and transcription factors that interact with ApoE during the development of gastric cancer. Using gene expression profiling, the BioGRID database and the transcriptional regulatory element database, gene expression and regulatory networks in gastric cancer tissues and adjacent normal tissues were analyzed. The data demonstrated that eight genes associated with ApoE were differentially expressed, with six of these upregulated and two downregulated. Functionally, these genes were involved in the JAK-STAT cascade, acute-phase response, acute inflammatory response, and the steroid hormone response. Among these ApoE-associated genes, expression of the signal transducer and activator of transcription 2 (STAT2) and STAT3 transcription factors was upregulated. To the best of our knowledge, this is the first study to demonstrate the network of ApoE-related genes and transcription factors in gastric cancer. Additional studies are required in order to confirm these data and to translate the results into the identification of clinical biomarkers and novel treatment strategies for gastric cancer.

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Section: Resultsmentioning

confidence: 99%

Expression analysis of apolipoprotein E and its associated genes in gastric cancer

Shi

Wang

et al. 2015

Oncology Letters

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“…[26][27][28][29][30] Hanas et al reported that complement C3 was elevated in the serum of patients with pancreas cancer. 31 Lee et al found that complement C3a was elevated in the serum of patients with hepatitis C-related hepatocellular carcinoma. 32 In addition, Bjorgem et al…”

Section: Discussionmentioning

confidence: 99%

Plasma proteomic analysis of patients with squamous cell carcinoma of the uterine cervix

et al. 2008

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Objective: To compare plasma protein expression between patients with squamous cell carcinoma (SCC) of the cervix and normal controls. Methods: Plasma samples from patients with benign gynecological disease (normal cervix, n=6) and cervical cancer (SCC, n=6) were subjected to plasma proteomic analysis using two dimensional gel electrophoresis (2-DE) and matrix-assisted laser desorption/ionization mass spectroscopy (MALDI-MS). Western blotting and immunoturbidimetric assay were performed to validate the results of 2-DE. Results: Eight proteins showed differential expression between controls and SCC patients; six (ceruloplasmin, complement C3, afamin precursor, alpha-1-B-glycoprotein, transferrin, alpha-fibrinogen precursor) were up-regulated, while two (chain A, crystal structure of antithrombin and apolipoprotein A-IV precursor) were down-regulated in the plasma of SCC patients. Western blotting analysis revealed significant elevation of ceruloplasmin, complement C3, afamin, and alpha-1-B-glycoprotein in the plasma of SCC patients in comparison to controls. Immunoturbidimetric assay of a larger group confirmed the results of 2-DE and Western blotting, and showed that ceruloplasmin and complement C3 were significantly elevated in the plasma of SCC patients in comparison with controls and patients with carcinoma in situ (CIS) of the uterine cervix. Conclusion: Plasma protein expression determined using 2-DE and MALDI-MS will give a chance to identify tumor-specific biomarkers for SCC of the cervix.

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“…S4). In addition, 17 of these proteins have been previously shown to be up-regulated in pancreatic cancer in at least four studies (61), and 10 have been shown to be elevated in pancreatic cancer serum in comparison to controls (60,(63)(64)(65)(66)(67)(68)(69)(70)(71) (Table III). The unstudied proteins might yield promising new candidate biomarkers for pancreatic cancer.…”

Section: Differential Expression Of Proteins In Cancer Versus Normalmentioning

confidence: 99%

Integrated Proteomic Profiling of Cell Line Conditioned Media and Pancreatic Juice for the Identification of Pancreatic Cancer Biomarkers

Makawita

Smith

Batruch

et al. 2011

Molecular & Cellular Proteomics

100

102

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Pancreatic cancer is one of the leading causes of cancerrelated deaths, for which serological biomarkers are urgently needed. Most discovery-phase studies focus on the use of one biological source for analysis. The present study details the combined mining of pancreatic cancerrelated cell line conditioned media and pancreatic juice for identification of putative diagnostic leads. Using strong cation exchange chromatography, followed by LC-MS/MS on an LTQ-Orbitrap mass spectrometer, we extensively characterized the proteomes of conditioned media from six pancreatic cancer cell lines (BxPc3, MIAPaCa2, PANC1, CAPAN1, CFPAC1, and SU.86.86), the normal human pancreatic ductal epithelial cell line HPDE, and two pools of six pancreatic juice samples from ductal adenocarcinoma patients. All samples were analyzed in triplicate. Between 1261 and 2171 proteins were identified with two or more peptides in each of the cell lines, and an average of 521 proteins were identified in the pancreatic juice pools. In total, 3479 nonredundant proteins were identified with high confidence, of which ϳ40% were extracellular or cell membrane-bound based on Genome Ontology classifications. Three strategies were employed for identification of candidate biomarkers: (1) examination of differential protein expression between the cancer and normal cell lines using label-free protein quantification, (2) integrative analysis, focusing on the overlap of proteins among the multiple biological fluids, and (3) tissue specificity analysis through mining of publically available databases. Preliminary verification of anterior gradient homolog 2, syncollin, olfactomedin-4, polymeric immunoglobulin receptor, and collagen alpha-1(VI) chain in plasma samples from pancreatic cancer patients and healthy controls using ELISA, showed a significant increase (p < 0.01) of these proteins in plasma from pancreatic cancer patients. The combination of these five proteins showed an improved area under the receiver operating characteristic curve to CA19.9 alone.

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Biomarker Identification in Human Pancreatic Cancer Sera

Cited by 61 publications

References 26 publications

Expression analysis of apolipoprotein E and its associated genes in gastric cancer

Expression analysis of apolipoprotein E and its associated genes in gastric cancer

Plasma proteomic analysis of patients with squamous cell carcinoma of the uterine cervix

Integrated Proteomic Profiling of Cell Line Conditioned Media and Pancreatic Juice for the Identification of Pancreatic Cancer Biomarkers

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