Literature DB >> 20715113

Impact of platinum-based chemotherapy on circulating nucleic acid levels, protease activities in blood and disseminated tumor cells in bone marrow of ovarian cancer patients.

Pauline Wimberger1, Carina Roth, Klaus Pantel, Sabine Kasimir-Bauer, Rainer Kimmig, Heidi Schwarzenbach.   

Abstract

There is an unmet need for biomarkers for the prediction and monitoring of anticancer therapies. Here, we measured the concentrations of nucleosomes and DNA, protease and caspase activities in serum of 62 patients with ovarian cancer before and after first-line carboplatin/taxane-based chemotherapy and of 28 healthy individuals by Cell Death Detection ELISA, PicoGreen, Protease Fluorescent Detection Kit and Caspase-Glo3/7 Assay, respectively. By immunocytochemistry, we analyzed bone marrow (BM) aspirates for disseminated tumor cells (DTCs) using the monoclonal antibody A45-B/B3. The measurements in blood and BM were correlated to clinical outcome (median follow-up time: 18 months). Significant correlations between circulating nucleosome and DNA concentrations (p = 0.0001), nucleosome concentrations and caspase activities (p = 0.031) and circulating DNA concentrations and protease activities (p = 0.0001) were detected. Before therapy, the occurrence of DTCs correlated with increasing serum protease activities (p = 0.030) and higher tumor stages (p = 0.029), and after therapy, it correlated with a higher risk of relapse (p = 0.040). Higher protease activities in serum were associated with advanced tumor stages (p = 0.045). We observed a significant relationship between residual tumor load of >1 cm after primary surgery and serum DNA levels (p = 0.0001), and both parameters were associated with a higher risk of relapse (p = 0.0001 and p = 0.020, respectively) and a poorer overall survival (p = 0.021 and p = 0.010, respectively). These findings suggest that the residual tumor load might contribute to elevated DNA levels in blood. Serum DNA levels together with BM status for DTCs have the potential to become suitable biomarkers to predict the prognosis of ovarian cancer patients undergoing platinum-based chemotherapy.
Copyright © 2010 UICC.

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Year:  2010        PMID: 20715113     DOI: 10.1002/ijc.25602

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  30 in total

Review 1.  Cell-free nucleic acids as biomarkers in cancer patients.

Authors:  Heidi Schwarzenbach; Dave S B Hoon; Klaus Pantel
Journal:  Nat Rev Cancer       Date:  2011-05-12       Impact factor: 60.716

Review 2.  Recent advances in microfluidic methods in cancer liquid biopsy.

Authors:  Florina S Iliescu; Daniel P Poenar; Fang Yu; Ming Ni; Kiat Hwa Chan; Irina Cima; Hayden K Taylor; Igor Cima; Ciprian Iliescu
Journal:  Biomicrofluidics       Date:  2019-07-23       Impact factor: 2.800

Review 3.  Predicting Radiotherapy Responses and Treatment Outcomes Through Analysis of Circulating Tumor DNA.

Authors:  Aadel A Chaudhuri; Michael S Binkley; Evan C Osmundson; Ash A Alizadeh; Maximilian Diehn
Journal:  Semin Radiat Oncol       Date:  2015-05-15       Impact factor: 5.934

4.  Current and Futuristic Roadmap of Ovarian Cancer Management: An Overview.

Authors:  Orlandric Miree; Sanjeev Kumar Srivastava; Santanu Dasgupta; Seema Singh; Rodney Rocconi; Ajay Pratap Singh
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 5.  Circulating tumor cells and cell-free nucleic acids in patients with gynecological malignancies.

Authors:  Ben Davidson
Journal:  Virchows Arch       Date:  2018-08-25       Impact factor: 4.064

6.  Cell-free DNA Comprises an In Vivo Nucleosome Footprint that Informs Its Tissues-Of-Origin.

Authors:  Matthew W Snyder; Martin Kircher; Andrew J Hill; Riza M Daza; Jay Shendure
Journal:  Cell       Date:  2016-01-14       Impact factor: 41.582

7.  Prognostic value of circulating tumor cells and disseminated tumor cells in patients with ovarian cancer: a systematic review and meta-analysis.

Authors:  Long Cui; Joseph Kwong; Chi Chiu Wang
Journal:  J Ovarian Res       Date:  2015-06-16       Impact factor: 4.234

8.  Silver Nanoscale Hexagonal Column Chips for Detecting Cell-free DNA and Circulating Nucleosomes in Cancer Patients.

Authors:  Hiroaki Ito; Katsuyuki Hasegawa; Yuuki Hasegawa; Tadashi Nishimaki; Kazuyoshi Hosomichi; Satoshi Kimura; Motoi Ohba; Hiroshi Yao; Manabu Onimaru; Ituro Inoue; Haruhiro Inoue
Journal:  Sci Rep       Date:  2015-05-21       Impact factor: 4.379

9.  LOH at 6q and 10q in fractionated circulating DNA of ovarian cancer patients is predictive for tumor cell spread and overall survival.

Authors:  Jan Dominik Kuhlmann; Heidi Schwarzenbach; Pauline Wimberger; Micaela Poetsch; Rainer Kimmig; Sabine Kasimir-Bauer
Journal:  BMC Cancer       Date:  2012-07-31       Impact factor: 4.430

Review 10.  Genotyping cell-free tumor DNA in the blood to detect residual disease and drug resistance.

Authors:  Giulia Siravegna; Alberto Bardelli
Journal:  Genome Biol       Date:  2014-08-30       Impact factor: 13.583

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