Literature DB >> 10749324

Discrimination between malignant and nonmalignant ascites using serum and ascitic fluid proteins in a multivariate analysis model.

M G Alexandrakis1, J A Moschandrea, S A Koulocheri, E Kouroumalis, G D Eliopoulos.   

Abstract

Our objectives were to study the value of different proteins in the serum and ascitic fluid and assess their potential in discriminating between malignant and nonmalignant ascites in a model that could be developed to aid clinical diagnosis. In all, 57 different measurements (30 in serum and 27 in ascitic fluid) including erythrocyte sedimentation rate, number of white blood cells, cytokines, interleukin-1a (IL-1a), IL-1b, IL-2, IL-6, IL-8, tumor necrosis factor-alpha, immunoglobulins (IgG, IgA, IgM), complement factors C3 and C4, acute-phase proteins such as alpha1-acid glycoprotein, alpha2-macroglobulin, alpha1-antitrypsin, haptoglobin, C-reactive protein, ferritin, ceruloplasmin and transferin, were performed in 61 patients with ascites (25 with malignant exudates, 13 with nonmalignant exudates, and 23 with transudates). Patients with sepsis were excluded. Correlation tests and one-way ANOVAs were used for comparisons between different groups. Discriminant analyses were used to assess the significance of each parameter in the differentiation process. Correct classification of 100% of cases required the use of all 57 ascitic fluid measurements in the model, which was not considered practical in clinical diagnosis. Discriminant analysis showed that five ascitic fluid measurements-total protein, LDH, TNF-alpha, C4, and haptoglobin-were sufficient for a model to correctly classify 89% of cases. Cross-validation showed that 70% of unknown cases were correctly classified using this model. In conclusion, we have shown that five easily taken protein measurements in the ascitic fluid can differentiate to a large extent between cases with ascites and have proposed a relatively simple statistical model with these parameters that could be developed to be extremely useful in the clinical setting.

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Year:  2000        PMID: 10749324     DOI: 10.1023/a:1005437005811

Source DB:  PubMed          Journal:  Dig Dis Sci        ISSN: 0163-2116            Impact factor:   3.199


  28 in total

1.  Ascitic interleukin-12 is an independent prognostic factor in ovarian cancer.

Authors:  A G Zeimet; M Widschwendter; C Knabbe; D Fuchs; M Herold; E Müller-Holzner; G Daxenbichler; F A Offner; O Dapunt; C Marth
Journal:  J Clin Oncol       Date:  1998-05       Impact factor: 44.544

2.  Cytology of serous effusions. An investigation into the usefulness of cell blocks versus smears.

Authors:  A Dekker; P A Bupp
Journal:  Am J Clin Pathol       Date:  1978-12       Impact factor: 2.493

3.  Diagnostic accuracy of fibronectin in the differential diagnosis of ascites.

Authors:  A Colli; G Buccino; M Cocciolo; R Parravicini; F Mariani; G Scaltrini
Journal:  Cancer       Date:  1986-12-01       Impact factor: 6.860

4.  Tumor markers in the diagnosis of malignant serous effusions.

Authors:  S Cascinu; E Del Ferro; I Barbanti; M Ligi; A Fedeli; G Catalano
Journal:  Am J Clin Oncol       Date:  1997-06       Impact factor: 2.339

5.  Diagnostic value of ferritin, haptoglobin, alpha 1-antitrypsin, lactate dehydrogenase and complement factors C3 and C4 in pleural effusion differentiation.

Authors:  M Alexandrakis; S Coulocheri; D Kyriakou; D Bouros; N Xirouhaki; N Siafakas; E Castanas; G D Eliopoulos
Journal:  Respir Med       Date:  1997-10       Impact factor: 3.415

6.  Ascitic fluid alpha 1-antitrypsin.

Authors:  F G Villamil; P B Sorroche; H F Aziz; P M Lopez; J M Oyhamburu
Journal:  Dig Dis Sci       Date:  1990-09       Impact factor: 3.199

7.  Identification of tumor necrosis factor and lymphotoxin blocking factor(s) in the ascites of patients with advanced and recurrent ovarian cancer.

Authors:  F Cappuccini; R S Yamamoto; P J DiSaia; E A Grosen; M Gatanaga; J A Lucci; E K Ininns; T Gatanaga; G A Granger
Journal:  Lymphokine Cytokine Res       Date:  1991-06

8.  Ascitic fluid analysis for the differentiation of malignancy-related and nonmalignant ascites. Proposal of a diagnostic sequence.

Authors:  A L Gerbes; D Jüngst; Y N Xie; W Permanetter; G Paumgartner
Journal:  Cancer       Date:  1991-10-15       Impact factor: 6.860

9.  High levels of tumor necrosis factor-alpha and interleukin-6 in the ascitic fluid of cirrhotic patients with spontaneous bacterial peritonitis.

Authors:  F Zeni; B Tardy; M Vindimian; C Comtet; Y Page; I Cusey; J C Bertrand
Journal:  Clin Infect Dis       Date:  1993-08       Impact factor: 9.079

10.  Spontaneous bacterial peritonitis is associated with high levels of interleukin-6 and its secondary mediators in ascitic fluid.

Authors:  T Propst; A Propst; M Herold; G Schauer; G Judmaier; H Braunsteiner; G Stöffler; W Vogel
Journal:  Eur J Clin Invest       Date:  1993-12       Impact factor: 4.686

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  6 in total

Review 1.  Distribution of therapeutic monoclonal antibodies into ascites in advanced gastric cancer patients with peritoneal metastasis: case reports and literature review.

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Journal:  Cancer Chemother Pharmacol       Date:  2022-09-30       Impact factor: 3.288

2.  Young Man With Non-hypertensive Ascites of Unexpected Cause: When Ockham's Razor Is Not Sufficient.

Authors:  Julián Rondón-Carvajal; Jose C Alvarez-Payares; Natalia Arias-Madrid; Jeanneth Echeverri-Villegas; Laura Uribe-Zapata
Journal:  Cureus       Date:  2022-05-27

Review 3.  Ascitic Fluid Analysis in the Differential Diagnosis of Ascites: Focus on Cirrhotic Ascites.

Authors:  Lin-Lin Huang; Harry Hua-Xiang Xia; Sen-Lin Zhu
Journal:  J Clin Transl Hepatol       Date:  2014-03-15

4.  Clinical characteristics and outcomes in those with primary extrahepatic malignancy and malignant ascites.

Authors:  Omar Alshuwaykh; Amanda Cheung; Aparna Goel; Allison Kwong; Renumathy Dhanasekaran; T Tara Ghaziani; Aijaz Ahmed; Tami Daugherty; Deepti Dronamraju; Radhika Kumari; Mindie Nguyen; W Ray Kim; Paul Yien Kwo
Journal:  BMC Gastroenterol       Date:  2022-09-05       Impact factor: 2.847

Review 5.  A systematic review of the association between circulating concentrations of C reactive protein and cancer.

Authors:  Katriina Heikkilä; Shah Ebrahim; Debbie A Lawlor
Journal:  J Epidemiol Community Health       Date:  2007-09       Impact factor: 3.710

Review 6.  Pleural, peritoneal and pericardial effusions - a biochemical approach.

Authors:  Lara Milevoj Kopcinovic; Jelena Culej
Journal:  Biochem Med (Zagreb)       Date:  2014-02-15       Impact factor: 2.313

  6 in total

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