Literature DB >> 21340762

Bioactive interleukin-6 levels in serum and ascites as a prognostic factor in patients with epithelial ovarian cancer.

G Gastl1, M Plante.   

Abstract

Interleukin-6 (IL-6) is a multifunctional cytokine displaying diverse biologic functions that can be produced by a broad variety of normal and malignant cell types (1). In vivo, high levels of bioactive IL-6 have been detected in the ascites of patients with epithelial ovarian cancer, suggesting abundant local production of this cytokine at the tumor site (2-6). We found IL-6 levels in ascites to correlate significantly with the volume of ascites and nearly so with the size of tumor found at initial surgery (2). Notably, IL-6 levels in malignant ascites also correlated with reactive thrombocytosis, and maximum IL-6 bioactivity in ascites and highest platelet counts occurred in patients with undifferentiated ovarian adenocarcinoma or advanced disease (7). Patients who responded to chemotherapy tended to have lower ascites IL-6 levels compared with patients who failed to respond to chemotherapy (4). Berek et al. concluded that bioactive IL-6 in serum may be a useful tumor marker for ovarian cancer, because in their study it correlated with tumor burden, clinical disease status, and survival time (3). Performing a multivariate analysis, Scambia et al. (6) found serum IL-6 to have an independent prognostic value, but appeared to be less sensitive than CA-125. In conclusion, most investigators found serum and ascitic IL-6 to be of prognostic value in ovarian cancer. In the following section, the B9-bioassay for the detection of IL-6 in body fluids is described in detail.

Entities:  

Year:  2001        PMID: 21340762     DOI: 10.1385/1-59259-071-3:121

Source DB:  PubMed          Journal:  Methods Mol Med        ISSN: 1543-1894


  8 in total

Review 1.  Metabolic risk factors and mechanisms of disease in epithelial ovarian cancer: A review.

Authors:  Eric R Craig; Angelina I Londoño; Lyse A Norian; Rebecca C Arend
Journal:  Gynecol Oncol       Date:  2016-10-15       Impact factor: 5.482

2.  IL6-induced metastasis modulators p-STAT3, MMP-2 and MMP-9 are targets of 3,3'-diindolylmethane in ovarian cancer cells.

Authors:  Minghua Zou; Xianquan Zhang; Changhua Xu
Journal:  Cell Oncol (Dordr)       Date:  2015-10-28       Impact factor: 6.730

3.  Identification of Tumor Microenvironment-Related Prognostic Biomarkers for Ovarian Serous Cancer 3-Year Mortality Using Targeted Maximum Likelihood Estimation: A TCGA Data Mining Study.

Authors:  Lu Wang; Xiaoru Sun; Chuandi Jin; Yue Fan; Fuzhong Xue
Journal:  Front Genet       Date:  2021-06-03       Impact factor: 4.599

4.  Enhanced antitumor effect of binimetinib in combination with capecitabine for biliary tract cancer patients with mutations in the RAS/RAF/MEK/ERK pathway: phase Ib study.

Authors:  Jin Won Kim; Kyung-Hun Lee; Ji-Won Kim; Koung Jin Suh; Ah-Rong Nam; Ju-Hee Bang; Yung-Jue Bang; Do-Youn Oh
Journal:  Br J Cancer       Date:  2019-07-17       Impact factor: 7.640

Review 5.  Metabolic risk factors of ovarian cancer: a review.

Authors:  Neda Khanlarkhani; Elham Azizi; Fardin Amidi; Mahshad Khodarahmian; Ensieh Salehi; Azar Pazhohan; Bagher Farhood; Keywan Mortezae; Nasser Hashemi Goradel; Maryam Shabani Nashtaei
Journal:  JBRA Assist Reprod       Date:  2022-04-17

6.  Minocycline suppresses interleukine-6, its receptor system and signaling pathways and impairs migration, invasion and adhesion capacity of ovarian cancer cells: in vitro and in vivo studies.

Authors:  Parvin Ataie-Kachoie; David L Morris; Mohammad H Pourgholami
Journal:  PLoS One       Date:  2013-04-08       Impact factor: 3.240

Review 7.  Tumor-associated macrophages contribute to tumor progression in ovarian cancer.

Authors:  Emily K Colvin
Journal:  Front Oncol       Date:  2014-06-06       Impact factor: 6.244

8.  Phosphorylation of STAT3 at Tyr705 regulates MMP-9 production in epithelial ovarian cancer.

Authors:  Zan-Hui Jia; Yan Jia; Feng-Jun Guo; Jun Chen; Xi-Wen Zhang; Man-Hua Cui
Journal:  PLoS One       Date:  2017-08-31       Impact factor: 3.240

  8 in total

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