- Open Access
Proteomic identification of fucosylated haptoglobin alpha isoforms in ascitic fluids and its localization in ovarian carcinoma tissues from Mexican patients
© Garibay-Cerdenares et al.; licensee BioMed Central Ltd. 2014
- Received: 6 November 2013
- Accepted: 19 February 2014
- Published: 27 February 2014
Ovarian cancer is the most lethal gynecologic disease due to delayed diagnosis, and ascites production is a characteristic of patients in advanced stages. The aim of this study was to perform the proteomic analysis of ascitic fluids of Mexican patients with ovarian carcinoma, in order to detect proteins with a differential expression pattern in the continuing search to identify biomarkers for this disease.
Samples were collected from 50 patients from the Instituto Nacional de Cancerología of México under informed consent and with approval of the bioethics and scientific committees. After elimination of abundant proteins (Albumin/IgGs) samples were processed for 2D electrophoresis and further protein identification by Mass Spectrometry (MALDI-TOF). Molecules of interest were followed by western blot and lectin binding assays, and their tissue location by histo-immunofluorescence and confocal analysis.
Results and discussion
An area with a differential expression pattern among samples was located in the 2D gels. Identified proteins were 6 alpha 1 isoforms and 1 alpha 2 isoform of Haptoglobin, and 2 isoforms of Transthyretin. While Transthyretin isoforms were constitutively expressed in all samples, clear differences in the expression pattern of Haptoglobin alpha isoforms were found. Moreover, increased levels of fucosylation of Haptoglobin alpha isoforms analyzed in 40 samples by Aleuria aurantia lectin binding by 1D overlay assay showed a positive correlation with advanced stages of the disease. Tissue detection of Haptoglobin and its fucosylated form, by histo-immunofluorescence in biopsies of ovarian cancer, also showed a correlation with ovarian cancer progression. Moreover, results show that fucosylated Haptoglobin is produced by tumor cells.
Increased numbers of highly fucosylated Haptoglobin alpha isoforms in ascitic fluids and the presence of fucosylated Haptoglobin in tumor tissues of ovarian cancer Mexican patients associated with advanced stages of the disease, reinforce the potential of fucosylated Haptoglobin alpha isoforms to be characterized as biomarkers for disease progression.
- Ascitic fluid
- Ovarian carcinoma
Epithelial ovarian cancer (ovarian carcinoma) is the most lethal gynecologic malignancy worldwide . In the latest data recorded by GLOBOCAN compiled in 2008, Mexico reported an annual incidence of 2,910 cases and a mortality of 1,851 Mexican women during that year (http://globocan.iarc.fr). According to the Mexican National Cancer Institute, ovarian cancer is at the fifth position among the 10 most frequent causes of hospital mortality during 2012 (http://www.incan.edu.mx/). The high mortality rate is attributable to the asymptomatic nature of the early stage of the disease, the lack of established screening tests, and the development of drug resistance [2–5].
Like most other epithelial tumors, ovarian carcinoma spreads initially into adjacent organs, specially the fallopian tubes and uterus. It then disseminates via the transcoelomic route, affecting many vital organs within the abdomen including the gastrointestinal and genitourinary systems [6, 7]. Over 30% of patients present accumulation of peritoneal fluid or ascites as a sign associated with advanced stages of the disease; and the shedding of malignant cells from the surface of the ovarian tumor into the peritoneal cavity is a common scenario in the progression of ovarian carcinoma [6, 8].
Body fluids constitute an excellent media for biomarker discovery, and ascitic fluids usually contain malignant epithelial cells and activated mesothelial cells, which can produce cytokines, growth factors, and invasion-promoting components associated with invasion and metastasis [9, 10]; this fluid therefore, contains the secretome of ovarian cancer cells and the analysis of ascites may facilitate discovery of more sensitive and specific biomarkers than those currently available .
Several authors have performed proteomic studies in ascites and tumors from ovarian patients describing new biomarkers; among them, E-cadherin and IL-8 as single biomarkers [12, 13] or multimarker as CA-125 in combination with macrophage chemotactic protein-1, with leptin, with HE4 or with soluble mesothelin related protein [14–16] have been described. They possess acceptable characteristics for their possible use in population screening, to differentiate among benign and malignant tumors versus healthy controls, and to be used as monitoring biomarkers during cancer progression [17, 18].
In this study, we present a proteomic analysis of 50 human ascitic fluids from ovarian carcinoma patients and whose results show, for the first time, clear differences in the profile of Haptoglobin (Hp) alpha isoforms, the presence of genotypes, and the differential fucosylation pattern of the same isoform among samples. Moreover, the presence of fucosylated Hp was confirmed in pathology samples of the same cases. Results suggest an association between the Hp alpha subunit and the fucosylation level with advanced stage of the disease.
The study was conducted with ascitic fluids obtained from 50 patients diagnosed with ovarian carcinoma who were admitted to the Instituto Nacional de Cancerología de México. All patients were admitted for a first-time diagnosis; the histopathology and tumor grade were assigned by a pathologist according to the International Federation of Gynecology and Obstetrics (FIGO) criteria . The study was approved by the Institutional Scientific and Bioethics Committees (protocol numbers INCAN/CC/134/09 and CB/549/09), and written consent was obtained from patients prior to sample collection.
Ascitic fluids samples from patients with ovarian carcinoma were obtained under sterile conditions by a qualified medical doctor. Once collected, they were transported to the laboratory in an ice bucket. Samples were centrifuged at 1500 × g for 10 min at 4°C. Supernatants were stored at −70°C until assayed.
Two-dimensional (2D) gel electrophoresis of ascitic proteins
High-abundance proteins (albumin and IgG) were removed from the ascitic fluid using Vivapure anti HSA/IgG for Human albumin and an IgG depletion kit (Sartorius Stedim Biotech, Cat. No. VS-P08HAIGG), according to the manufacturer’s protocol. Ascites fluids depleted from HSA/IgG (200 μg) were cleared of salts contamination with a ProteoExtract Protein Precipitation Kit (Calbiochem, Cat. No. 539180) as per manufacturer’s protocol. Pellets were processed as described . Briefly, samples were diluted in rehydration buffer containing 8 M urea, 0.5% (w/v) CHAPS, 10 mM DTT, 0.001% bromophenol blue, and Bio-Lyte 3–10 Ampholyte (0.2%) (Bio-Rad, Cat. No.163-1113). The protein mixture was then applied to ReadyStrip™ IPG 7 cm strips, pH 5–8 (linear) (Bio-Rad, Cat. No. 163–2004). Rehydrated strips were isoelectrically focused using a PROTEAN IEF cell System (Bio-Rad, Cat. No. 165–4000). To perform the second dimension analysis, the strips were processed by 15% SDS-PAGE and a Protean II XL Cell System was used. Finally the 2D gels were stained with Silver Stain Plus (Bio-Rad, Cat. No. 161–0449).
Protein identification by MALDI-TOF
Silver-stained 2D gels were scanned in a GS-800 densitometer (Bio-Rad, Hercules, CA). Digital images were compared using the Melanie 7.0 software (GE Healthcare). Each of the 50 ascitic fluid samples was run three times. The electrophoretic entities of interest were excised, alkylated, reduced, digested in a Proteineer line (Bruker Daltonics, Bremen) with the aid of a DP Chemicals 96 gel digestion kit (Bruker Daltonics) and processed by a MALDI-TOF Autoflex (Bruker Daltonics) to obtain a peptide mass fingerprint. Peak lists of the tryptic peptide masses were generated using FlexAnalysis1.2vSD1 Patch 2 (Bruker Daltonics) . The search engine MASCOT server 2.0 was used to compare the fingerprints against human taxonomy with the following parameters: one missed cleavage allowed, carbamidomethyl cysteine as the fixed modification and oxidation of methionine as the variable modification. Proteins with scores greater than 50 and a p < 0.05 were accepted.
Western blot and lectin binding assays
Proteins from the ascitic fluid samples (50 μg) were separated either by a 15% or 12.5% SDS-PAGE and transferred to nitrocellulose membranes for subsequent detection of Hp and fucosylated-Hp. Filters were blocked with TBS-T-5% milk, and incubated with anti-Hp antibody (Abcam, Cat. No. ab90924), followed in the case of the 15% SDS-PAGE by a goat anti-mouse IgG-Alkaline Phospatase conjugated antibody (PIERCE, Cat. No. 31320), and in the case of the 12.5% SDS-PAGE by a goat anti-mouse IgG HRP-conjugated antibody (PIERCE, Cat. No. 31430). The filter was then revealed by chemoluminescence (Supersignal West Femto Luminol, Thermo Scientific, Cat. No. 1856189). Duplicate filters were used for fucosylation analysis. Biotinylated Aleuria aurantia lectin (AAL) (Vector Labs, Cat. No. B-1395) purified from mushrooms  was selected to specifically detect fucosylation of Hp alpha due to its ability to bind preferentially to fucose-linked (α -1,6) to N-acetylglucosamine structures (glycosylation’s core). The membranes were incubated in PBS containing approximately 20 μg/ml AAL. Following this, the membrane containing the samples from the 15% SDS-PAGE was incubated with alkaline phosphatase-Streptavidin (Vector Labs, Cat. No. SA-5100), and with the substrate for alkaline phosphatase, BCIP/NBT (Cat. No. SK-5400). The membrane containing the samples from the 12.5% SDS-PAGE was incubated with HPR-streptavidin (Sigma Aldrich, Cat. No. S5512) and developed by chemoluminescence (Supersignal West Femto Luminol, Thermo Scientific, Cat. No. 1856189). The level of fucosylation of Hp alpha was obtained by densitometric analysis (GS-800 Calibrated Densitometer, Bio-Rad) using the Quantity One software for PC (Bio-Rad).
Detection of fucosylated Hp alpha in ovarian carcinoma tissues by confocal microscopy
Paraffin-fixed biopsies from four ovarian cancer patients and one sample of cancer-free ovarian tissue removed from a patient diagnosed with endometriosis were assessed using a standard histo-immunofluorescence method. Fucosylated-Hp was detected by co-localization of Hp with a primary anti-haptoglobin antibody as described above, and a secondary TRITC-conjugated antibody (goat anti-mouse IgG-TRITC conjugated, Sigma Aldrich, Cat. No. A16077). Fucosylation levels were detected with biotinylated AAL and visualized with Streptavidin-FITC (Life Technologies, Cat. No. 43–4311). Cell nuclei were stained with 4′, 6-diamidino-2-phenylindole dihydrochloride (DAPI) (Sigma Chemical Co., St. Louis, MO, USA). Tissue sections incubated with secondary reagents (antibody or streptavidin alone) served as negative controls. Fluorescent images (10X: tile scan of 5 x 5, 40X, and 63X) were obtained using a Confocal Carl Zeiss LMS 700 microscope that operates with up to four stable, solid-state lasers and wavelengths of 405 to 639 nm. Images were analyzed with the Zen 2011 ‘blue edition’ software. Fluorochromes used were DAPI (4′, 6-diamidino-2-phenylindole dihydrochloride) with excitation and emission wavelengths of 350 and 470 nm, respectively; Fluorescein isothiocyanate (FITC), with excitation and emission wavelengths of 490 and 525 nm, respectively; and Tetramethyl Rhodamine Isothiocyanate (TRITC) with excitation and emission wavelengths of 557 and 576 nm, respectively.
Statistical analyses were performed using STATA v. 12.0 for Windows 2010. A scatter plot graphic was used to show the relationship between two groups of data: the number of detected proteins by 2D electrophoresis of each sample, versus the clinical stage of each patient. The frequency of different genotypes of alpha isoforms of Hp was determined by producing a histogram of frequencies among the tested population. To determine the relation between fucosylation and clinical stage, a Spearman’s rank correlation coefficient was obtained and results were considered significant with a p ≤ 0.05. Finally, a stacked histogram plot was created to visualize the distribution of the fucosylation level of Hp alpha with respect to the clinical stage of the illness.
Clinical data of ovarian carcinoma patients
Percentage ( n)
Family history of cancer
A zone showing a differential protein expression pattern (Figure 1, black square) was selected, where it was possible to distinguish several spots in every sample. Inside this square as many as nine spots, with highly distinctive expression patterns were detected. To compare samples, Melanie 7.0 software (http://world-2dpage.expasy.org/melanie/) was used, which is a platform that allows the qualitative and quantitative evaluation of protein profiles from bidimensional electrophoresis gels (Additional file 1: Figure S1A). To perform large-scale comparative studies, the software eliminates variations between experiments and detects differential expression profiles. These differential expression profiles were validated using densitometric analysis of the selected area, where notable variations in at least seven of the nine spots were observed; whereas the last two spots showed a similar behavior (Additional file 1: Figure S1B).
Protein identification by mass spectrometry (MALDI/TOF)
GI NUMBER ( NCBI search)
Haptoglobin isoform 1 preproprotein [Homo sapiens]
hp2-alpha [Homo sapiens]
Haptoglobin isoform 1 preproprotein [Homo sapiens]
Haptoglobin isoform 1 preproprotein [Homo sapiens]
Haptoglobin isoform 1 preproprotein [Homo sapiens]
Haptoglobin isoform 1 preproprotein [Homo sapiens]
Haptoglobin isoform 1 preproprotein [Homo sapiens]
Transthyretin [Homo sapiens]
Transthyretin [Homo sapiens]
To establish a probable association between the number of Hp alpha isoforms and the clinical stage of the patients’ illness, a scatter plot graphic was produced. Results suggest that clinical stage IV samples (44% of total samples), correlate with a higher number of spots of this protein; of these, 81.8% had from 7 to 9 spots, whereas only 73% of clinical stage IIIC samples (52% of total samples) had from 7 to 9 spots (Figure 2C).
The differential level of Hp fucosylation was analyzed in a scatter plot graphic using densitometry and clinical staging. The results show a trend of higher fucosylation of Hp alpha in stage IV cases (Figure 3B).
Fucosylation levels determined by densitometric analysis were classified as high, medium, or low. It was then possible to establish the relationship between the levels of fucosylation with respect to the clinical stage of the patients analyzed. Results show that in samples from patients at stage IV (68.4%), 53.8% were highly fucosylated. In comparison, samples from patients at stage IIIC (31.6%) showed a more heterogeneous pattern of fucosylation, where from these, 25% had low fucosylation levels, 33.3% had medium level and 41.7% showed high levels of fucosylation (Figure 3C). To analyze the statistical significance of the differences in fucosylation of the Hp alpha isoform and its possible correlation with the clinical stage of each patient, a Spearman correlation between these criteria was produced. A directly proportional relationship, statistically significant, was found between fucosylation levels and advanced clinical stage of the patients (r s = 0.6664, p ≤ 0.05). This established that the clinical stage IV is associated with a higher level of fucosylation of Hp alpha.
Over more than three decades of clinical use, CA-125 has proven to be one of the most useful tumor markers in cancer medicine; the major clinical utility of this serum marker is in following the clinical course and the evaluation of the effectiveness of new antineoplastic agents against ovarian cancer . However, it is associated with a high false-positive rate among women with benign gynaecological conditions such as endometriosis . Furthermore, CA125 has very low sensitivity in identifying patients with early-stage ovarian cancer .
HE4 (human epididymal secretory protein E4; WAP four-disulphide core domain protein 2) alone or in combination with CA125 [30, 31], are the only two biomarkers US FDA approved for monitoring of disease recurrence or progression, but not for screening. Recently, there has been a resurgence of efforts to identify ovarian cancer biomarkers. Broadly studied are mesothelin ; transthyretin ; ApoA1 ; IL-6 and IL-8  and serum amyloid A  for using in initial detection, staging, disease prognosis, or VEGF studied as a possible molecular therapeutic target. BRCA1 and BRCA2 have been used, alone or in combination, for an individualized clinical management of patients [36, 37], to establish the sensitivity or resistance to chemotherapy. Therefore, the search for new biomarkers useful in the early diagnosis of ovarian cancer continues.
Acute-phase proteins are synthesized by the liver as a nonspecific response to inflammation, with the primary function of modulating the inflammatory response to avoid tissue damage or infection . Haptoglobin, an acute-phase glycoprotein, is produced mainly in the liver where it is released into the blood circulation. This protein also participates in the formation of new blood vessels and vascular remodeling [26, 39–42].
The presence of Hp in patients’ sera with ovarian cancer and its possible use as a biomarker for the diagnosis of this disease has been suggested previously . Moreover, using ascitic fluid from ovarian cancer patients and mass spectrometry, Faça et al.,  suggested that the alpha subunit of Hp could be a good biomarker candidate. Although the correlation between Hp expression and ovarian carcinoma has been widely reported [45, 46], this is the first study in which it is possible to distinguish differential alpha subunit expression together with differential levels of fucosylation. Our results suggest that the differential expression pattern of isoforms of Hp alpha and the conserved expression profile of Transthyretin might correspond to a signature for each patient, and whose pattern could be representative of the ovarian cancer ascitic fluid stage. Moreover, the genetic prevalence of Hp 1–2, which has been associated with other pathologies of clinical importance, allowed us to establish a significant relationship between the patient Hp alpha pattern and the clinical progress of the disease .
Post-traductional modifications of proteins may play important roles in many types of cancer . Increased levels of fucosylation have been reported in a number of pathological conditions, including several cancer types (cervical, gastrointestinal, pancreatic, and breast and ovarian cancer) [26, 48–53]. The fucosylation profiles from the alpha subunit of Hp showed that those patients with most advanced stages of cancer expressed the highest levels of fucosylation, suggesting a possible role for fucosylated Hp during the progress of ovarian carcinoma. Our results are in agreement with those described previously, which correlated fucosylation levels of Hp with disease progression in breast cancer , gastrointestinal cancer , and in adenocarcinoma of the uterus . However, the examination of a greater number of clinical cases is required to confirm this hypothesis.
Since ascites occurs in patients only at advanced stages of the disease, it is important to assess the expression profile of fucosylated Hp in tumor tissues. Differences in the expression of Hp and fucosylated Hp in those tissues in comparison with cancer-free samples were evident. On the one hand, we show for the first time the presence of fucosylated Hp within cancer-free human ovarian follicles. The localization of Hp in healthy ovaries and the possibility that it may play a role in human reproduction has been analyzed; clinical findings depicted the Hp expression pattern in various organs of the reproductive system: the rat ovary , the mouse uterus and ovary  and the rabbit uterus . The presence of Hp has been reported in human reproductive tissues, as uterus  and follicular fluid , as a measure of ovary quality.
The differential distribution of fucosylation in tissues of at least three of the five histological types analyzed, in comparison with basal fucosylation observed in cancer-free tissue, suggest two possible directions for further investigation: the involvement of fucosyltransferases overexpression in the process of fucosylation and the identification of highly fucosylated proteins in the initial stages of ovarian cancer.
Even though the liver is considered as the major site for Hp expression, the stimulation with bacterial lipopolysaccharide (LPS) has demonstrated that Hp synthesis can be induced not only in the liver but also in other tissues, including lung, skin, spleen, and kidney . Elevation of this peptide has been observed in infections, inflammations, and various malignant diseases, including lung and bladder cancers , leukemia , breast cancer , malignant lymphoma [64, 65], urogenital tumors , esophageal squamous cell carcinoma  and serum and ascitic fluid of patients with ovarian cancer  in comparison to healthy tissue. In this work we provide evidence to support that in addition to the liver as a source of Hp, there is an important participation of tumoral cells in fucosylated Hp production, mainly in tumor zones with higher disintegration and cellular de-differentiation, suggesting a possible role for Hp in the migration of cancer cells.
Moreover, the potential of this work lies in the fact that we are proposing not just haptoglobin as biomarker, but to consider also the number of differential isoforms of alpha haptoglobin and their level of fucosylation present in the tumor tissue. This opens the possibility to determine if these isoforms, glycated or not, could be detected in serum, and if the fucosylation of tissular haptoglobin could help to distinguish between a healthy and a malignant tissue through the analysis of biopsies newly obtained from patients in hope of some diagnosis, whether it be in ovarian cancer or another. Still, there are some limitations within the study, mainly because the number of analyzed samples does not allow setting haptoglobin, in a definitive way, as a specific biomarker for ovarian cancer or its early detection, because it would be necessary to analyze samples from stages I and II. Based on the results obtained, at this moment it is difficult to assign clinical implications for haptoglobin detection; however the difference in the levels of fucosylation between healthy and malignant tissues was very clear, which means that there must be many other fucosylated proteins in malignant tissues.
The use of a glycomic approach, has allowed the identification of a number of tumor marker candidates, finding that fucosylated haptoglobin in sera could be a possible tumor marker for several kinds of cancer types. A detection kit for pancreatic cancer via a sandwich enzyme-linked immune sorbent assay using Aleuria aurantia lectin and the Fab portion of anti-haptoglobin antibody has been reported . Positive rates of fucosylated haptoglobin with this method were significantly higher in patients of stage IV pancreatic cancer, compared with other clinical stages.
At this moment, we would not dare to recommend patients to undergo tests to determine if there is fucoyslated Haptoglobin alpha isoforms in ascitic fluids, but indeed, this is a very good perspective for this work, i.e., to establish a simple, low-cost laboratory test, while satisfying the requirements for sensitivity and specificity required to convert to fucosylated haptoglobin in a reliable biomarker together with CA125 or computerized axial tomography to evaluate the ability of complete resection, or to follow if there is response to drug therapy. Without leaving aside that the process of fucosylation could also become a very important early marker of cellular transformation.
Based on the above results, we propose that increased numbers of highly fucosylated Hp alpha isoforms in ascitic fluids as well as the presence of fucosylated Hp in tumor tissues of Mexican ovarian cancer patients are associated with advanced stages of the disease; and reinforce the potential of fucosylated Hp alpha isoforms to be used as biomarkers for disease progression.
This work was performed under a General Agreement between Centro de Investigación y de Estudios Avanzados del IPN (CINVESTAV) and the Instituto Nacional de Cancerología (INCan), and under a Specific Project agreement between the Departamento de Infectómica y Patogénesis Molecular from CINVESTAV and the Departamento de Oncología Médica from INCan. This work was partially supported by grants 115617 from S0008- FONSEC SSA/IMSS/ISSSTE, and PNPC 2013 Program from CONACYT, México. GARIBAY-CERDENARES OL was a recipient of a CONACYT fellowship (210645) and from ICyTDF grant B12-007. We also thank Belém de-Luna, Maria Elena Cisneros and Irma Miranda for their technical support during the accomplishment of this work.
- Siegel R, Naishadham D, Jemal A: Cancer statistics, 2012. CA Cancer J Clin 2012, 62: 10–29. 10.3322/caac.20138View ArticlePubMedGoogle Scholar
- Kim A, Ueda Y, Naka T, Enomoto T: Therapeutic strategies in epithelial ovarian cancer. BMC Cancer 2012, 31: 14.Google Scholar
- Lamendola DE, Duan Z, Yusuf RZ, Seiden MV: Molecular description of evolving paclitaxel resistance in the SKOV-3 human ovarian carcinoma cell line. Cancer Res 2003, 63: 2200–2205.PubMedGoogle Scholar
- Ouellet V, Zietarska M, Portelance L, Lafontaine J, Madore J, Puiffe M-L, Arcand SL, Shen Z, Hébert J, Tonin PN, Provencher DM, Mes-Masson A-M: Characterization of three new serous epithelial ovarian cancer cell lines. BMC Cancer 2008, 8: 152. 10.1186/1471-2407-8-152PubMed CentralView ArticlePubMedGoogle Scholar
- Sharrow A, Ronnett B, Thoburn C, Barber J, Giuntoli R, Armstrong D, Jones R, Hess A: Identification and characterization of a spontaneous ovarian carcinoma in Lewis rats. J Ovarian Res 2010, 3: 9. 10.1186/1757-2215-3-9PubMed CentralView ArticlePubMedGoogle Scholar
- Tan DSP, Agarwal R, Kaye SB: Mechanisms of transcoelomic metastasis in ovarian cancer. Lancet Oncol 2006, 7: 925–934. 10.1016/S1470-2045(06)70939-1View ArticlePubMedGoogle Scholar
- Amadori D, Sansoni E, Amadori F: Ovarian cancer: natural history and metastatic pattern. Front Biosci 1997, 1: 8–10.Google Scholar
- Berchuck A, Carney M: Human ovarian cancer of the surface epithelium. Biochem Pharmacol 1997, 54: 541–544. 10.1016/S0006-2952(97)00061-0View ArticlePubMedGoogle Scholar
- Davidson B, Espina V, Steinberg SM, Flørenes VA, Liotta LA, Kristensen GB, Tropé CG, Berner A, Kohn EC: Proteomic analysis of malignant ovarian cancer effusions as a tool for biologic and prognostic profiling. Clin Cancer Res 2006, 12: 791–799. 10.1158/1078-0432.CCR-05-2516View ArticlePubMedGoogle Scholar
- Qian W, Jacobs J, Liu T, Camp D, Smith R: Advances and challenges in liquid chromatography-mass spectrometry-based proteomics profiling for clinical applications. Mol Cell Proteomics 2006, 5: 1727–1744. 10.1074/mcp.M600162-MCP200PubMed CentralView ArticlePubMedGoogle Scholar
- Huang H, Li Y, Liu J, Zheng M, Feng Y, Hu K, Huang Y, Huang Q: Screening and identification of biomarkers in ascites related to intrinsic chemoresistance of serous epithelial ovarian cancers. PLoS One 2012, 12: e51256.View ArticleGoogle Scholar
- Sundfeldt K, Ivarsson K, Rask K, Haeger M, Hedin L, Brännström M: Higher levels of soluble E-cadherin in cyst fluid from malignant ovarian tumours than in benign cysts. Anticancer Res 2001, 21: 65–70.PubMedGoogle Scholar
- Ivarsson K, Runesson E, Sundfeldt K, Haeger M, Hedin L, Janson PO, Brannstrom M: The chemotactic cytokine interleukin-8-a cyst fluid marker for malignant epithelial ovarian cancer? Gynecol Oncol 1998, 71: 420–423. 10.1006/gyno.1998.5198View ArticlePubMedGoogle Scholar
- McIntosh MW, Drescher C, Karlan B, Scholler N, Urban N, Hellstrom KE, Hellstrom I: Combining CA 125 and SMR serum markers for diagnosis and early detection of ovarian carcinoma. Gynecol Oncol 2004, 95: 9–15. 10.1016/j.ygyno.2004.07.039PubMed CentralView ArticlePubMedGoogle Scholar
- Seeber B, Sammel MD, Fan X, Gerton GL, Shaunik A, Chittams J, Barnhart KT: Panel of markers can accurately predict endometriosis in a subset of patients. Fertil Steril 2008, 89: 1073–1081. 10.1016/j.fertnstert.2007.05.014View ArticlePubMedGoogle Scholar
- Petri AL, Simonsen AH, Yip T-T, Hogdall E, Fung ET, Lundvall L, Hogdall C: Three new potential ovarian cancer biomarkers detected in human urine with equalizer bead technology. Acta Obst Gynecol Scand 2009, 88: 18–26. 10.1080/00016340802443830View ArticleGoogle Scholar
- Waldemarson S, Krogh M, Alaiya A, Kirik U, Schedvins K, Auer G, Hansson KM, Ossola R, Aebersold R, Lee H, Malmstrom J, James P: Protein expression changes in ovarian cancer during the transition from benign to malignant. J Proteome Res 2012, 11: 2876–2889. 10.1021/pr201258qView ArticlePubMedGoogle Scholar
- Peterson V, Castro C, Chung J, Miller N, Ullal A, Castano M, Penson R, Lee H, Birrer M, Weissleder R: Ascites analysis by a microfluidic chip allows tumor-cell profiling. Proc Natl Acad Sci 2013, 110: E4978-E4986. 10.1073/pnas.1315370110PubMed CentralView ArticlePubMedGoogle Scholar
- Benedet L, Bender H, III HJ, Ngan HY, Pecorelli S: FIGO staging classifications and clinical practice guidelines in the management of gynecologic cancers. FIGO committee on gynecologic oncology. Int J Gynaecol Obstet 2000, 70: 209–262.View ArticlePubMedGoogle Scholar
- Klose J, Kobalz U: Two-dimensional electrophoresis of proteins: an updated protocol and implications for a functional analysis of the genome. Electrophoresis 1995, 16: 1034–1059. 10.1002/elps.11501601175View ArticlePubMedGoogle Scholar
- Higareda-Almaraz JC, Enríquez-Gasca MR, Hernández-Ortiz M, Resendis-Antonio O, Encarnación-Guevara S: Proteomic patterns of cervical cancer cell lines, a network perspective. BMC Syst Biol 2011, 5: 96. 10.1186/1752-0509-5-96PubMed CentralView ArticlePubMedGoogle Scholar
- Kochibe N, Furukawa K: Purification and properties of a novel fucose-specific hemagglutinin of Aleuria aurantia . Biochemistry 1980, 19: 2841–2846. 10.1021/bi00554a004View ArticlePubMedGoogle Scholar
- Black JA, Dixon GH: Amino-acid sequence of alpha chains of human haptoglobins. Nature 1968, 218: 736–741. 10.1038/218736a0View ArticlePubMedGoogle Scholar
- Fish RG, Gill TS, Adams M, Kerby I: Serum haptoglobin and α1-acid glycoprotein as indicators of the effectiveness of cis-diamminedichloroplatinum (CDDP) in ovarian cancer patients—a preliminary report. Eur J Cancer Clin Oncol 1984, 20: 625–630. 10.1016/0277-5379(84)90007-5View ArticlePubMedGoogle Scholar
- Park S-J, Baek SH, Oh M-K, Choi SH, Park EH, Kim N-H, Shin J-C, Kim I-S: Enhancement of angiogenic and vasculogenic potential of endothelial progenitor cells by haptoglobin. FEBS Lett 2009, 583: 3235–3240. 10.1016/j.febslet.2009.09.014View ArticlePubMedGoogle Scholar
- Narisada M, Kawamoto S, Kuwamoto K, Moriwaki K, Nakagawa T, Matsumoto H, Asahi M, Koyama N, Miyoshi E: Identification of an inducible factor secreted by pancreatic cancer cell lines that stimulates the production of fucosylated haptoglobin in hepatoma cells. Biochem Biophys Res Commun 2008, 377: 792–796. 10.1016/j.bbrc.2008.10.061View ArticlePubMedGoogle Scholar
- Okuyama N, Ide Y, Nakano M, Nakagawa T, Yamanaka K, Moriwaki K, Murata K, Ohigashi H, Yokoyama S, Eguchi H, Ishikawa O, Ito T, Kato M, Kasahara A, Kawano S, Gu J, Taniguchi N, Miyoshi E: Fucosylated haptoglobin is a novel marker for pancreatic cancer: a detailed analysis of the oligosaccharide structure and a possible mechanism for fucosylation. Int J Cancer 2006, 118: 2803–2808. 10.1002/ijc.21728View ArticlePubMedGoogle Scholar
- Markman M: The role of CA-125 in the management of ovarian cancer. Oncologist 1997, 2: 6–9.PubMedGoogle Scholar
- Terry K, Sluss P, Skates S, Mok S, Ye B, Vitonis A, Cramer D: Blood and urine markers for ovarian cancer: a comprehensive review. Dis Markers 2004, 20: 53–70. 10.1155/2004/241982PubMed CentralView ArticlePubMedGoogle Scholar
- Drapkin R, von Horsten HH, Lin Y, Mok SC, Crum CP, Welch WR, Hecht JL: Human epididymis protein 4 (HE4) is a secreted glycoprotein that is overexpressed by serous and endometrioid ovarian carcinomas. Cancer Res 2005, 65: 2162–2169. 10.1158/0008-5472.CAN-04-3924View ArticlePubMedGoogle Scholar
- Huhtinen K, Suvitie P, Hiissa J, Junnila J, Huvila J, Kujari H, Setälä M, Härkki P, Jalkanen J, Fraser J, Mäkinen J, Auranen A, Poutanen M, Perheentupa A: Serum HE4 concentration differentiates malignant ovarian tumours from ovarian endometriotic cysts. Br J Cancer 2009, 100: 1315–1319. 10.1038/sj.bjc.6605011PubMed CentralView ArticlePubMedGoogle Scholar
- Schweigert F, Wirth K, Raila J: Characterization of the microheterogeneity of transthyretin in plasma and urine using SELDI-TOF-MS immunoassay. Proteome Sci 2004, 2: 5. 10.1186/1477-5956-2-5PubMed CentralView ArticlePubMedGoogle Scholar
- Su F, Kozak K, Imaizumi S, Gao F, Amneus M, Grijalva V, Ng C, Wagner A, Hough G, Farias-Eisner G, Anantharamaiah G, Lenten BV, Navab M, Fogelman A, Reddy S, Farias-Eisner R: Apolipoprotein A-I (apoA-I) and apoA-I mimetic peptides inhibit tumor development in a mouse model of ovarian cancer. Proc Natl Acad Sci 2010, 107: 19997–20002. 10.1073/pnas.1009010107PubMed CentralView ArticlePubMedGoogle Scholar
- Lokshin AE, Winans M, Landsittel D, Marrangoni AM, Velikokhatnaya L, Modugno F, Nolen BM, Gorelik E: Circulating IL-8 and anti-IL-8 autoantibody in patients with ovarian cancer. Gynecol Oncol 2006, 102: 244–251. 10.1016/j.ygyno.2005.12.011View ArticlePubMedGoogle Scholar
- Moshkovskii SA, Vlasova MA, Pyatnitskiy MA, Tikhonova OV, Safarova MR, Makarov OV, Archakov AI: Acute phase serum amyloid A in ovarian cancer as an important component of proteome diagnostic profiling. Proteomics Clin Appl 2007, 1: 107–117. 10.1002/prca.200600229View ArticlePubMedGoogle Scholar
- Nguyen L, Cardenas-Goicoechea SJ, Gordon P, Curtin C, Momeni M, Chuang L, Fishman D: Biomarkers for early detection of ovarian cancer. Women’s Health 2013, 9: 171–187. 10.2217/whe.13.2View ArticlePubMedGoogle Scholar
- Nolen BM, Lokshin AE: Protein biomarkers of ovarian cancer: the forest and the trees. Future Oncol 2012, 8: 55–71. 10.2217/fon.11.135PubMed CentralView ArticlePubMedGoogle Scholar
- Raynes JG, Eagling S, McAdam KP: Acute-phase protein synthesis in human hepatoma cells: differential regulation of serum amyloid A (SAA) and haptoglobin by interleukin-1 and interleukin-6. Clin Exp Immunol 1991, 83: 488–491.PubMed CentralView ArticlePubMedGoogle Scholar
- Lim YK, Jenner A, Ali AB, Wang Y, Hsu SIH, Chong SM, Baumman H, Halliwell B, Lim S-K: Haptoglobin reduces renal oxidative DNA and tissue damage during phenylhydrazine-induced hemolysis. Kidney Int 2000, 58: 1033–1044. 10.1046/j.1523-1755.2000.00261.xView ArticlePubMedGoogle Scholar
- Cid MC, Grant DS, Hoffman GS, Auerbach R, Fauci AS, Kleinman HK: Identification of haptoglobin as an angiogenic factor in sera from patients with systemic vasculitis. J Clin Invest 1993, 91: 977–985. 10.1172/JCI116319PubMed CentralView ArticlePubMedGoogle Scholar
- Lohr NL, Warltier DC, Chilian WM, Weihrauch D: Haptoglobin expression and activity during coronary collateralization. Am J Physiol Heart Circ Physiol 2005, 288: H1389-H1395.View ArticlePubMedGoogle Scholar
- Smeets MB, Pasterkamp G, Lim S-K, Velema E, van Middelaar B, de Kleijn DPV: Nitric oxide synthesis is involved in arterial haptoglobin expression after sustained flow changes. FEBS Lett 2002, 529: 221–224. 10.1016/S0014-5793(02)03343-4View ArticlePubMedGoogle Scholar
- Ahmed N, Barker G, Oliva KT, Hoffmann P, Riley C, Reeve S, Smith AL, Kemp BE, Quinn MA, Rice GE: Proteomic-based identification of haptoglobin-1 precursor as a novel circulating biomarker of ovarian cancer. Br J Cancer 2004, 91: 129–140. 10.1038/sj.bjc.6601882PubMed CentralView ArticlePubMedGoogle Scholar
- Faça VM, Hanash SM: In-depth proteomics to define the cell surface and secretome of ovarian cancer cells and processes of protein shedding. Cancer Res 2009, 69: 728–730. 10.1158/0008-5472.CAN-08-3087View ArticlePubMedGoogle Scholar
- Mueller W, Handschumacher R, Wade M: Serum haptoglobin in patients with ovarian malignancies. Obstet Gynecol 1971, 38: 427–435.PubMedGoogle Scholar
- Thompson S, Dargan E, Turner G: Increased fucosylation and other carbohydrate changes in haptoglobin in ovarian cancer. Cancer Lett 1992, 14: 43–48.View ArticleGoogle Scholar
- Zhao J, Qiu W, Simeone DM, Lubman DM: N-linked glycosylation profiling of pancreatic cancer serum using capillary liquid phase separation coupled with mass spectrometric analysis. J Proteome Res 2007, 6: 1126–1138. 10.1021/pr0604458View ArticlePubMedGoogle Scholar
- Muinelo-Romay L, Villar-Portela S, Cuevas E, Gil-Martin E, Fernandez-Briera A: Identification of alpha(1,6)fucosylated proteins differentially expressed in human colorectal cancer. BMC Cancer 2011, 11: 508. 10.1186/1471-2407-11-508PubMed CentralView ArticlePubMedGoogle Scholar
- Moriwaki K, Miyoshi E: Fucosylation and gastrointestinal cancer. World J Hepatol 2010, 2: 151–161. 10.4254/wjh.v2.i4.151PubMed CentralView ArticlePubMedGoogle Scholar
- Kim HJ, Kim SC, Ju W, Kim YH, Yin SY, Kim HJ: Aberrant sialylation and fucosylation of intracellular proteins in cervical tissue are critical markers of cervical carcinogenesis. Oncol Rep 2014, 31: 1417–22.PubMedGoogle Scholar
- Dargan E, Thompson S, Cantwell BMJ, Wilson RG, Turner GA: Changes in the fucose content of haptoglobin in breast and ovarian cancer: association with disease progression. Glycoconj J 1994, 1: 37–43. 10.1007/BF00917467Google Scholar
- Yuan K, Listinsky C, Singh R, Listinsky J, Siegal G: Cell surface associated alpha-l-fucose moieties modulate human breast cancer neoplastic progression. Pathol Oncol Res 2008, 14: 145–156. 10.1007/s12253-008-9036-xView ArticlePubMedGoogle Scholar
- Wu J, Xie X, Liu Y, He J, Benitez R, Buckanovich RJ, Lubman DM: Identification and confirmation of differentially expressed fucosylated glycoproteins in the serum of ovarian cancer patients using a lectin array and LC-MS/MS. J Proteome Res 2006, 11: 4541–4552.View ArticleGoogle Scholar
- Nabli H, Tuller E, Sharpe-Timms KL: Haptoglobin expression in endometrioid adenocarcinoma of the uterus. Reprod Sci 2010, 17: 47–55. 10.1177/1933719109346331View ArticlePubMedGoogle Scholar
- O’Bryan MK, Grima J, Mruk D, Cheng CY: Haptoglobin is a sertoli cell product in the rat seminiferous epithelium: its purification and regulation. J Androl 1997, 18: 637–645.PubMedGoogle Scholar
- Friedrichs WE, Navarijoashbaugh AL, Bowman BH, Yang F: Expression and inflammatory regulation of haptoglobin gene in adipocytes. Biochem Biophys Res Commun 1995, 209: 250–256. 10.1006/bbrc.1995.1496View ArticlePubMedGoogle Scholar
- Olson GE, Winfrey VP, Matrisian PE, Melner MH, Hoffman LH: Specific expression of haptoglobin mRNA in implantation-stage rabbit uterine epithelium. J Endocrinol 1997, 152: 69–80. 10.1677/joe.0.1520069View ArticlePubMedGoogle Scholar
- Berkova N, Lemay A, Dresser DW, Fontaine J-Y, Kerizit J, Goupil S: Haptoglobin is present in human endometrium and shows elevated levels in the decidua during pregnancy. Mol Hum Reprod 2001, 7: 747–754. 10.1093/molehr/7.8.747View ArticlePubMedGoogle Scholar
- Ambekar AS, Nirujogi RS, Srikanth SM, Chavan S, Kelkar DS, Hinduja I, Zaveri K, Prasad TSK, Harsha HC, Pandey A, Mukherjee S: Proteomic analysis of human follicular fluid: a new perspective towards understanding folliculogenesis. J Proteomics 2013, 87: 68–77.View ArticlePubMedGoogle Scholar
- D’Armiento J, Dalal SS, Chada K: Tissue, temporal and inducible expression pattern of haptoglobin in mice. Gene 1997, 195: 19–27. 10.1016/S0378-1119(97)00123-6View ArticlePubMedGoogle Scholar
- Benkmann H, Hanssen H, Ovenbeck R, HW HG: Distribution of alpha-1-antitrypsin and haptoglobin phenotypes in bladder cancer patients. Hum Hered 1987, 37: 290–293. 10.1159/000153720View ArticlePubMedGoogle Scholar
- Mitchell R, Carzino R, Janardhana V: Associations between the two serum proteins haptoglobin and transferrin and leukaemia. Hum Hered 1988, 38: 144–150. 10.1159/000153775View ArticlePubMedGoogle Scholar
- Awadallah SM, Atoum MF: Haptoglobin polymorphism in breast cancer patients form Jordan. Clin Chim Acta 2004, 341: 17–21. 10.1016/j.cccn.2003.10.032View ArticlePubMedGoogle Scholar
- Epelbaum R, Shalitin C, Segal R, Valansi C, Arselan I, Faraggi D, Leviov M, Ben M, Shahar M, Haim N: Haptoglobin-related protein as a serum marker in malignant lymphoma. Pathol Oncol Res 1998, 4: 271–276. 10.1007/BF02905217View ArticlePubMedGoogle Scholar
- Dunzendorfer U, Jung K, Go G: Haptoglobin-related protein as a serum marker in malignant lymphoma. Eur Urol 1980, 6: 232–236.PubMedGoogle Scholar
- Dunzendorfer U, Jung K, Ohlenschläger G: Transferrin, C3 complement, haptoglobin, plasminogen and alpha 2-microglobulin in patients with urogenital tumors. Eur Urol 1980, 6: 232–236.PubMedGoogle Scholar
- An J-Y, Fan Z-M, Zhuang Z-H, Qin Y-R, Gao S-S, Li J-L, Wang L-D: Proteomic analysis of blood level of proteins before and after operation in patients with esophageal squamous cell carcinoma at high-incidence area in Henan Province. World J Gastroenterol 2004, 15: 3365–3368.View ArticleGoogle Scholar
- Elg S, Carson L, Fowler J, Twiggs L, Moradi M, Ramakrishnan S: Ascites levels of haptoglobin in patients with ovarian cancer. Cancer 1993, 71: 3938–3941. 10.1002/1097-0142(19930615)71:12<3938::AID-CNCR2820711223>3.0.CO;2-QView ArticlePubMedGoogle Scholar
- Matsumoto H, Shinzaki S, Narisada M, Kawamoto S, Kuwamoto K, Moriwaki K, Kanke F, Satomura S, Kumada T, Miyoshi E: Clinical application of a lectin-antibody ELISA to measure fucosylated haptoglobin in sera of patients with pancreatic cancer. Clin Chem Lab Med 2010, 48: 505–512.View ArticlePubMedGoogle Scholar
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