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Shao D, Huang L, Wang Y, Cui X, Li Y, Wang Y, Ma Q, Du W, Cui J. HBFP: a new repository for human body fluid proteome. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2021; 2021:6395039. [PMID: 34642750 PMCID: PMC8516408 DOI: 10.1093/database/baab065] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 09/23/2021] [Accepted: 09/28/2021] [Indexed: 12/15/2022]
Abstract
Body fluid proteome has been intensively studied as a primary source for disease
biomarker discovery. Using advanced proteomics technologies, early research
success has resulted in increasingly accumulated proteins detected in different
body fluids, among which many are promising biomarkers. However, despite a
handful of small-scale and specific data resources, current research is clearly
lacking effort compiling published body fluid proteins into a centralized and
sustainable repository that can provide users with systematic analytic tools. In
this study, we developed a new database of human body fluid proteome (HBFP) that
focuses on experimentally validated proteome in 17 types of human body fluids.
The current database archives 11 827 unique proteins reported by 164
scientific publications, with a maximal false discovery rate of 0.01 on both the
peptide and protein levels since 2001, and enables users to query, analyze and
download protein entries with respect to each body fluid. Three unique features
of this new system include the following: (i) the protein annotation page
includes detailed abundance information based on relative qualitative measures
of peptides reported in the original references, (ii) a new score is calculated
on each reported protein to indicate the discovery confidence and (iii) HBFP
catalogs 7354 proteins with at least two non-nested uniquely mapping peptides of
nine amino acids according to the Human Proteome Project Data Interpretation
Guidelines, while the remaining 4473 proteins have more than two unique peptides
without given sequence information. As an important resource for human protein
secretome, we anticipate that this new HBFP database can be a powerful tool that
facilitates research in clinical proteomics and biomarker discovery. Database URL:https://bmbl.bmi.osumc.edu/HBFP/
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Affiliation(s)
- Dan Shao
- Department of Computer Science and Engineering, University of Nebraska-Lincoln, 122E Avery Hall, 1144 T St., Lincoln, NE 68588, USA.,Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China.,Department of Computer Science and Technology, Changchun University, 6543 Weixing Road, Changchun 130022, China
| | - Lan Huang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Yan Wang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Xueteng Cui
- Department of Computer Science and Technology, Changchun University, 6543 Weixing Road, Changchun 130022, China
| | - Yufei Li
- Department of Computer Science and Technology, Changchun University, 6543 Weixing Road, Changchun 130022, China
| | - Yao Wang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Qin Ma
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, 310G Lincoln tower, 1800 cannon drive, Columbus, OH 43210, USA
| | - Wei Du
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Juan Cui
- Department of Computer Science and Engineering, University of Nebraska-Lincoln, 122E Avery Hall, 1144 T St., Lincoln, NE 68588, USA
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Huang L, Shao D, Wang Y, Cui X, Li Y, Chen Q, Cui J. Human body-fluid proteome: quantitative profiling and computational prediction. Brief Bioinform 2021; 22:315-333. [PMID: 32020158 PMCID: PMC7820883 DOI: 10.1093/bib/bbz160] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 08/22/2019] [Accepted: 10/18/2019] [Indexed: 12/15/2022] Open
Abstract
Empowered by the advancement of high-throughput bio technologies, recent research on body-fluid proteomes has led to the discoveries of numerous novel disease biomarkers and therapeutic drugs. In the meantime, a tremendous progress in disclosing the body-fluid proteomes was made, resulting in a collection of over 15 000 different proteins detected in major human body fluids. However, common challenges remain with current proteomics technologies about how to effectively handle the large variety of protein modifications in those fluids. To this end, computational effort utilizing statistical and machine-learning approaches has shown early successes in identifying biomarker proteins in specific human diseases. In this article, we first summarized the experimental progresses using a combination of conventional and high-throughput technologies, along with the major discoveries, and focused on current research status of 16 types of body-fluid proteins. Next, the emerging computational work on protein prediction based on support vector machine, ranking algorithm, and protein-protein interaction network were also surveyed, followed by algorithm and application discussion. At last, we discuss additional critical concerns about these topics and close the review by providing future perspectives especially toward the realization of clinical disease biomarker discovery.
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Affiliation(s)
- Lan Huang
- College of Computer Science and Technology in the Jilin University
| | - Dan Shao
- College of Computer Science and Technology in the Jilin University
- College of Computer Science and Technology in Changchun University
| | - Yan Wang
- College of Computer Science and Technology in the Jilin University
| | - Xueteng Cui
- College of Computer Science and Technology in the Changchun University
| | - Yufei Li
- College of Computer Science and Technology in the Changchun University
| | - Qian Chen
- College of Computer Science and Technology in the Jilin University
| | - Juan Cui
- Department of Computer Science and Engineering in the University of Nebraska-Lincoln
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Wang X, Gong Y, Deng T, Zhang L, Liao X, Han C, Yang C, Huang J, Wang Q, Song X, Zhang T, Yu T, Zhu G, Ye X, Peng T. Diagnostic and prognostic significance of mRNA expressions of apolipoprotein A and C family genes in hepatitis B virus-related hepatocellular carcinoma. J Cell Biochem 2019; 120:18246-18265. [PMID: 31211449 DOI: 10.1002/jcb.29131] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 05/14/2019] [Accepted: 05/15/2019] [Indexed: 01/17/2023]
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is among the most common and lethal malignancies worldwide. Apolipoproteins (APOs) have been reported increasingly for their relationships with tumors. We aim at exploring the potential relationships of apolipoprotein A (APOA) and apolipoprotein C (APOC) family members with HCC. METHODS A data set, containing 212 hepatitis B virus-related HCC patients, was used for analysis. The diagnostic and prognostic ability of APOA and APOC family genes was figured out. Risk score models and nomograms were developed for the HCC prognosis prediction. Moreover, molecular mechanism exploration were identified biological processes and metabolic pathways of these genes involved in. Validation analysis was carried out using online website. RESULTS APOA1, APOC1, APOC3, and APOC4 showed robust diagnosis significance (all P < 0.05). APOA4, APOC3, and APOC4 were associated with the overall survival (OS) while APOA4 and APOC4 were linked to recurrence-free survival (RFS, all P ≤ 0.05). Risk score models and nomograms had the advantage of predicting OS and RFS for HCC. Molecular mechanism exploration indicated that these genes were involved in the steroid metabolic process, the PPAR signaling pathway, and fatty acid metabolism. Besides that, validation analysis revealed that APOC1 and APOC4 had an association with OS; and APOC3 was associated with OS and RFS (all P ≤ 0.05). CONCLUSIONS APOA1, APOC1, APOC3, and APOC4 are likely to be potential diagnostic biomarkers and APOC3 and APOC4 are likely to be potential prognostic biomarkers for hepatitis B virus-related HCC. They may be involved in the steroid metabolic process, PPAR signaling pathway, and fatty acid metabolism.
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Affiliation(s)
- Xiangkun Wang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yizhen Gong
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Teng Deng
- Department of Neurosurgery, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Linbo Zhang
- Department of Health Management and Division of Physical Examination, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Xiwen Liao
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Chuangye Han
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Chengkun Yang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jianlu Huang
- Department of Hepatobiliary Surgery, The Third Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Qiaoqi Wang
- Department of Medical Cosmetology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Xiaowei Song
- Department of Gastrointestinal Glands, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Tengfang Zhang
- Department of Cardiothoracic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Tingdong Yu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Guangzhi Zhu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xinping Ye
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Tao Peng
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
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Moulder R, Bhosale SD, Goodlett DR, Lahesmaa R. Analysis of the plasma proteome using iTRAQ and TMT-based Isobaric labeling. MASS SPECTROMETRY REVIEWS 2018; 37:583-606. [PMID: 29120501 DOI: 10.1002/mas.21550] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Accepted: 09/26/2017] [Indexed: 05/23/2023]
Abstract
Over the past decade, chemical labeling with isobaric tandem mass tags, such as isobaric tags for relative and absolute quantification reagents (iTRAQ) and tandem mass tag (TMT) reagents, has been employed in a wide range of different clinically orientated serum and plasma proteomics studies. In this review the scope of these works is presented with attention to the areas of research, methods employed and performance limitations. These applications have covered a wide range of diseases, disorders and infections, and have implemented a variety of different preparative and mass spectrometric approaches. In contrast to earlier works, which struggled to quantify more than a few hundred proteins, increasingly these studies have provided deeper insight into the plasma proteome extending the numbers of quantified proteins to over a thousand.
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Affiliation(s)
- Robert Moulder
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland
| | - Santosh D Bhosale
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland
| | | | - Riitta Lahesmaa
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland
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Delgado-Balderas JR, Garza-Rodriguez ML, Gomez-Macias GS, Barboza-Quintana A, Barboza-Quintana O, Cerda-Flores RM, Miranda-Maldonado I, Vazquez-Garcia HM, Valdez-Chapa LD, Antonio-Macedo M, Dean M, Barrera-Saldaña HA. Description of Genetic Variants in BRCA Genes in Mexican Patients with Ovarian Cancer: A First Step towards Implementing Personalized Medicine. Genes (Basel) 2018; 9:genes9070349. [PMID: 29997359 PMCID: PMC6071230 DOI: 10.3390/genes9070349] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 07/11/2018] [Accepted: 07/11/2018] [Indexed: 02/08/2023] Open
Abstract
Gynecologic cancers are among the leading causes of death worldwide, ovarian cancer being the one with the highest mortality rate. Olaparib is a targeted therapy used in patients presenting mutations in BRCA1 and BRCA2 genes. The aim of this study was to describe BRCA1 and BRCA2 gene variants in Mexican patients with ovarian cancer. Sequencing of BRCA1 and BRCA2 genes from tumors of 50 Mexican patients with ovarian cancer was made in a retrospective, non-randomized, and exploratory study. We found genetic variants in 48 of 50 cases. A total of 76 polymorphic variants were found in BRCA1, of which 50 (66%) had not been previously reported. Furthermore, 104 polymorphic variants were found in BRCA2, of which 63 (60%) had not been reported previously. Of these polymorphisms, 5/76 (6.6%) and 4/104 (3.8%) were classified as pathogenic in BRCA1 and BRCA2, respectively. We have described the genetic variants in BRCA1 and BRCA2 of tumors from Northeast Mexican patients with sporadic ovarian cancers. Our results showed that the use of genetic testing helps recognize patients that carry pathogenic variants which could be beneficial for personalized medicine treatments.
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Affiliation(s)
- Jesus Rolando Delgado-Balderas
- Biochemistry and Molecular Medicine Department, School of Medicine, Universidad Autonoma de Nuevo Leon, Monterrey 64460, Mexico.
| | - Maria Lourdes Garza-Rodriguez
- Biochemistry and Molecular Medicine Department, School of Medicine, Universidad Autonoma de Nuevo Leon, Monterrey 64460, Mexico.
| | - Gabriela Sofia Gomez-Macias
- Pathology Department, Hospital Universitario "Dr. Jose Eleuterio-Gonzalez", Universidad Autonoma de Nuevo Leon, Monterrey 64460, Mexico.
| | | | - Oralia Barboza-Quintana
- Pathology Department, Hospital Universitario "Dr. Jose Eleuterio-Gonzalez", Universidad Autonoma de Nuevo Leon, Monterrey 64460, Mexico.
| | | | - Ivett Miranda-Maldonado
- Pathology Department, Hospital Universitario "Dr. Jose Eleuterio-Gonzalez", Universidad Autonoma de Nuevo Leon, Monterrey 64460, Mexico.
| | | | - Lezmes Dionicio Valdez-Chapa
- Gynecology and Obstetrics Department, Hospital Universitario "Dr. Jose Eleuterio Gonzalez", Monterrey 64460, Mexico.
| | - Mauro Antonio-Macedo
- Gynecology and Obstetrics Department, Hospital Universitario "Dr. Jose Eleuterio Gonzalez", Monterrey 64460, Mexico.
| | - Michael Dean
- Laboratory of Translational Genomics, DCEG, National Cancer Institute, Bethesda, MD 20892, USA.
| | - Hugo A Barrera-Saldaña
- Biochemistry and Molecular Medicine Department, School of Medicine, Universidad Autonoma de Nuevo Leon, Monterrey 64460, Mexico.
- Vitagenesis SA de CV, Monterrey 64630, Mexico.
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Fonville NC, Vaksman Z, McIver LJ, Garner HR. Population analysis of microsatellite genotypes reveals a signature associated with ovarian cancer. Oncotarget 2016; 6:11407-20. [PMID: 25779658 PMCID: PMC4484465 DOI: 10.18632/oncotarget.2933] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2014] [Accepted: 12/16/2014] [Indexed: 11/29/2022] Open
Abstract
Ovarian cancer (OV) ranks fifth in cancer deaths among women, yet there remain few informative biomarkers for this disease. Microsatellites are repetitive genomic regions which we hypothesize could be a source of novel biomarkers for OV and have traditionally been under-appreciated relative to Single Nucleotide Polymorphisms (SNPs). In this study, we explore microsatellite variation as a potential novel source of genomic variation associated with OV. Exomes from 305 OV patient germline samples and 54 tumors, sequenced as part of The Cancer Genome Atlas, were analyzed for microsatellite variation and compared to healthy females sequenced as part of the 1,000 Genomes Project. We identified a subset of 60 microsatellite loci with genotypes that varied significantly between the OV and healthy female populations. Using these loci as a signature set, we classified germline genomes as ‘at risk’ for OV with a sensitivity of 90.1% and a specificity of 87.6%. Cross-analysis with a similar set of breast cancer associated loci identified individuals ‘at risk’ for both diseases. This study revealed a genotype-based microsatellite signature present in the germlines of individuals diagnosed with OV, and provides the basis for a potential novel risk assessment diagnostic for OV and new personal genomics targets in tumors.
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Affiliation(s)
- Natalie C Fonville
- Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061, USA
| | - Zalman Vaksman
- Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061, USA
| | - Lauren J McIver
- Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061, USA
| | - Harold R Garner
- Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061, USA
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Luo L, Dong LY, Yan QG, Cao SJ, Wen XT, Huang Y, Huang XB, Wu R, Ma XP. Research progress in applying proteomics technology to explore early diagnosis biomarkers of breast cancer, lung cancer and ovarian cancer. Asian Pac J Cancer Prev 2015; 15:8529-38. [PMID: 25374164 DOI: 10.7314/apjcp.2014.15.20.8529] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
According to the China tumor registry 2013 annual report , breast cancer, lung cancer, and ovarian cancer are three common cancers in China nowadays, with high mortality due to the absence of early diagnosis technology. However, proteomics has been widespreadly implanted into every field of life science and medicine as an important part of post-genomics era research. The development of theory and technology in proteomics has provided new ideas and research fields for cancer research. Proteomics can be used not only for elucidating the mechanisms of carcinogenesis focussing on whole proteins of the tissue or cell, but also seeking the biomarkers for diagnosis and therapy of cancer. In this review, we introduce proteomics principles, covering current technology used in exploring early diagnosis biomarkers of breast cancer, lung cancer and ovarian cancer.
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Affiliation(s)
- Lu Luo
- College of Veterinary Medicine, Sichuan Agricultural University, Yaan, Sichuan, China E-mail :
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Arner P, Henjes F, Schwenk JM, Darmanis S, Dahlman I, Iresjö BM, Naredi P, Agustsson T, Lundholm K, Nilsson P, Rydén M. Circulating carnosine dipeptidase 1 associates with weight loss and poor prognosis in gastrointestinal cancer. PLoS One 2015; 10:e0123566. [PMID: 25898255 PMCID: PMC4405487 DOI: 10.1371/journal.pone.0123566] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2014] [Accepted: 02/19/2015] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Cancer cachexia (CC) is linked to poor prognosis. Although the mechanisms promoting this condition are not known, several circulating proteins have been proposed to contribute. We analyzed the plasma proteome in cancer subjects in order to identify factors associated with cachexia. DESIGN/SUBJECTS Plasma was obtained from a screening cohort of 59 patients, newly diagnosed with suspected gastrointestinal cancer, with (n = 32) or without (n = 27) cachexia. Samples were subjected to proteomic profiling using 760 antibodies (targeting 698 individual proteins) from the Human Protein Atlas project. The main findings were validated in a cohort of 93 patients with verified and advanced pancreas cancer. RESULTS Only six proteins displayed differential plasma levels in the screening cohort. Among these, Carnosine Dipeptidase 1 (CNDP1) was confirmed by sandwich immunoassay to be lower in CC (p = 0.008). In both cohorts, low CNDP1 levels were associated with markers of poor prognosis including weight loss, malnutrition, lipid breakdown, low circulating albumin/IGF1 levels and poor quality of life. Eleven of the subjects in the discovery cohort were finally diagnosed with non-malignant disease but omitting these subjects from the analyses did not have any major influence on the results. CONCLUSIONS In gastrointestinal cancer, reduced plasma levels of CNDP1 associate with signs of catabolism and poor outcome. These results, together with recently published data demonstrating lower circulating CNDP1 in subjects with glioblastoma and metastatic prostate cancer, suggest that CNDP1 may constitute a marker of aggressive cancer and CC.
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Affiliation(s)
- Peter Arner
- Department of Medicine (H7), Karolinska Institutet, Karolinska University Hospital, Huddinge, 141 86, Stockholm, Sweden
| | - Frauke Henjes
- Affinity Proteomics, Science for Life Laboratory, School of Biotechnology, Royal Institute of Technology, Box 1031, 171 21, Solna, Sweden
| | - Jochen M. Schwenk
- Affinity Proteomics, Science for Life Laboratory, School of Biotechnology, Royal Institute of Technology, Box 1031, 171 21, Solna, Sweden
| | - Spyros Darmanis
- Affinity Proteomics, Science for Life Laboratory, School of Biotechnology, Royal Institute of Technology, Box 1031, 171 21, Solna, Sweden
| | - Ingrid Dahlman
- Department of Medicine (H7), Karolinska Institutet, Karolinska University Hospital, Huddinge, 141 86, Stockholm, Sweden
| | - Britt-Marie Iresjö
- Department of Surgery, Sahlgrenska Academy, University of Gothenburg, 413 45, Gothenburg, Sweden
| | - Peter Naredi
- Department of Surgery, Sahlgrenska Academy, University of Gothenburg, 413 45, Gothenburg, Sweden
| | - Thorhallur Agustsson
- Division of Surgery, Department for Clinical Science, Intervention and Technology (CLINTEC), Södersjukhuset, 118 83, Stockholm, Sweden
| | - Kent Lundholm
- Department of Surgery, Sahlgrenska Academy, University of Gothenburg, 413 45, Gothenburg, Sweden
| | - Peter Nilsson
- Affinity Proteomics, Science for Life Laboratory, School of Biotechnology, Royal Institute of Technology, Box 1031, 171 21, Solna, Sweden
| | - Mikael Rydén
- Department of Medicine (H7), Karolinska Institutet, Karolinska University Hospital, Huddinge, 141 86, Stockholm, Sweden
- * E-mail:
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Gungor T, Cetinkaya N, Yalcin H, Ozdal B, Ozgu E, Baser E, Yilmaz N, Caglar M, Zergeroglu S, Erkaya S. Is target oriented surgery sufficient with borderline ovarian tumors? - Role of accompanying pathologies. Asian Pac J Cancer Prev 2014; 15:6749-54. [PMID: 25169520 DOI: 10.7314/apjcp.2014.15.16.6749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND There are limited data in the literature related to concomitant genital or extra-genital organ pathologies in patients with borderline ovarian tumors (BOTs). The aim of this study was to evaluate our experience with 183 patients to draw attention to the accompanying organ pathologies with BOTs. MATERIALS AND METHODS One hundred eighty-three patients with BOTs, diagnosed and/or treated in our center between January of 2000 and March of 2013 were evaluated retrospectively. Data related to age, tumor histology, lesion side, disease stage, accompanying incidental ipsilateral and/or contralateral ovarian pathologies, treatment approaches, and follow-up periods were investigated. Incidental gynecologic and non-gynecologic concomitant organ pathologies were also recorded. RESULTS The mean age at diagnosis was 40.6 years (range: 17-78). Ninety- five patients (51%) were ≤40 years. A hundred and forty-seven patients (80%) were at stage IA of the disease. The most common type of BOT was serous in histology. Non-invasive tumor implants were diagnosed in 4% and uterine involvement was found 2% among patients who underwent hysterectomies. There were 12 patients with positive peritoneal washings. Only 17 and 84 patients respectively had concomitant ipsilateral and concomitant contralateral incidental ovarian pathologies. The most common type of uterine, appendicular and omental pathologies were chronic cervicitis, lymphoid hyperplasia and chronic inflammatory reaction. CONCLUSIONS According to our findings most of accompanying pathologies for BOT are benign in nature. Nevertheless, there were additional malignant diseases necessitating further therapy. We emphasize the importance of the evaluation of all abdominal organs during surgery.
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Affiliation(s)
- Tayfun Gungor
- Department of Gynecologic Oncology, Zekai Tahir Burak Women's Health Education and Research Hospital, Ankara, Turkey E-mail :
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Yildirim MA, Seckin KD, Togrul C, Baser E, Karsli MF, Gungor T, Gulerman HC. Roles of Neutrophil/Lymphocyte and Platelet/Lymphocyte Ratios in the Early Diagnosis of Malignant Ovarian Masses. Asian Pac J Cancer Prev 2014; 15:6881-5. [DOI: 10.7314/apjcp.2014.15.16.6881] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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