Literature DB >> 23612068

Prediction of response to neoadjuvant chemotherapy in breast cancer patients by circulating apoptotic biomarkers nucleosomes, DNAse, cytokeratin-18 fragments and survivin.

Oliver J Stoetzer1, Debora M I Fersching, Christoph Salat, Oliver Steinkohl, Christian J Gabka, Ulrich Hamann, Michael Braun, Axel-Mario Feller, Volker Heinemann, Barbara Siegele, Dorothea Nagel, Stefan Holdenrieder.   

Abstract

Biomarkers predicting response to neoadjuvant chemotherapy in locally confined breast cancer (LBC) are highly needed. We prospectively assessed serial blood levels of apoptotic biomarkers nucleosomes, DNAse activity, cytokeratin-18 fragments (M30) and survivin in 51 LBC patients and correlated them with response to neoadjuvant treatment and established tumor markers. As controls, we used 31 healthy subjects, 13 patients with benign diseases and 28 with metastatic breast cancer (MBC). Levels of nucleosomes and survivin were elevated in LBC and MBC while M30, CEA and CA 15-3 levels were only elevated in MBC. During neoadjuvant chemotherapy, LBC patients with no change of disease (N=13) had significantly higher pretherapeutic levels of nucleosomes than patients with remission (N=38). We conclude that apoptotic biomarkers bear valuable information for diagnosis and therapy response prediction in LBC patients.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

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Year:  2013        PMID: 23612068     DOI: 10.1016/j.canlet.2013.04.013

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  15 in total

1.  Normalization of compression-induced hemodynamics in patients responding to neoadjuvant chemotherapy monitored by dynamic tomographic optical breast imaging (DTOBI).

Authors:  Amir Y Sajjadi; Steven J Isakoff; Bin Deng; Bhawana Singh; Christy M Wanyo; Qianqian Fang; Michelle C Specht; Lidia Schapira; Beverly Moy; Aditya Bardia; David A Boas; Stefan A Carp
Journal:  Biomed Opt Express       Date:  2017-01-04       Impact factor: 3.732

2.  Circulating immunogenic cell death biomarkers HMGB1 and RAGE in breast cancer patients during neoadjuvant chemotherapy.

Authors:  Oliver J Stoetzer; Debora M I Fersching; Christoph Salat; Oliver Steinkohl; Christian J Gabka; Ulrich Hamann; Michael Braun; Axel-Mario Feller; Volker Heinemann; Barbara Siegele; Dorothea Nagel; Stefan Holdenrieder
Journal:  Tumour Biol       Date:  2012-09-15

Review 3.  Circulating HMGB1 and RAGE as Clinical Biomarkers in Malignant and Autoimmune Diseases.

Authors:  Christin Pilzweger; Stefan Holdenrieder
Journal:  Diagnostics (Basel)       Date:  2015-06-16

Review 4.  Circulating Nucleosomes and Nucleosome Modifications as Biomarkers in Cancer.

Authors:  Peter McAnena; James A L Brown; Michael J Kerin
Journal:  Cancers (Basel)       Date:  2017-01-08       Impact factor: 6.639

5.  A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound.

Authors:  Hadi Tadayyon; Lakshmanan Sannachi; Mehrdad J Gangeh; Christina Kim; Sonal Ghandi; Maureen Trudeau; Kathleen Pritchard; William T Tran; Elzbieta Slodkowska; Ali Sadeghi-Naini; Gregory J Czarnota
Journal:  Sci Rep       Date:  2017-04-12       Impact factor: 4.379

6.  Deoxyribonuclease I Activity, Cell-Free DNA, and Risk of Liver Cancer in a Prospective Cohort.

Authors:  Rachel M Golonka; Beng San Yeoh; Jessica L Petrick; Stephanie J Weinstein; Demetrius Albanes; Andrew T Gewirtz; Katherine A McGlynn; Matam Vijay-Kumar
Journal:  JNCI Cancer Spectr       Date:  2019-02-21

Review 7.  Prognostic and Predictive Epigenetic Biomarkers in Oncology.

Authors:  Katarzyna Kamińska; Ewelina Nalejska; Marta Kubiak; Joanna Wojtysiak; Łukasz Żołna; Janusz Kowalewski; Marzena Anna Lewandowska
Journal:  Mol Diagn Ther       Date:  2019-02       Impact factor: 4.074

8.  Characterizing intra-tumor regions on quantitative ultrasound parametric images to predict breast cancer response to chemotherapy at pre-treatment.

Authors:  Hamidreza Taleghamar; Hadi Moghadas-Dastjerdi; Gregory J Czarnota; Ali Sadeghi-Naini
Journal:  Sci Rep       Date:  2021-07-21       Impact factor: 4.379

9.  Quantitative interactome analysis reveals a chemoresistant edgotype.

Authors:  Juan D Chavez; Devin K Schweppe; Jimmy K Eng; Chunxiang Zheng; Alex Taipale; Yiyi Zhang; Kohji Takara; James E Bruce
Journal:  Nat Commun       Date:  2015-08-03       Impact factor: 14.919

Review 10.  Circulating DNA as biomarker in breast cancer.

Authors:  Heidi Schwarzenbach; Klaus Pantel
Journal:  Breast Cancer Res       Date:  2015-10-09       Impact factor: 6.466

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