Literature DB >> 24785095

OPG and PgR show similar cohort specific effects as prognostic factors in ER positive breast cancer.

Nicole Sänger1, Eugen Ruckhäberle2, Giampaolo Bianchini3, Tomas Heinrich1, Karin Milde-Langosch4, Volkmar Müller4, Achim Rody5, Erich Franz Solomayer6, Tanja Fehm2, Uwe Holtrich1, Sven Becker1, Thomas Karn7.   

Abstract

The RANK/RANKL/OPG pathway is well known for bone destruction in skeletal metastases but has also been implicated in osteoclast-independent roles in tumorigenesis and de novo metastasis. Experimental data suggest contribution of progesterone to tumorigenesis may be mediated by RANKL. Importantly, modulation of this pathway became possible through the availability of denosumab, an artificial counterpart of OPG, but significant gaps remain in the translation of preclinical findings on the pathway. We analyzed gene expression of RANK, RANKL and OPG from 40 Affymetrix datasets encompassing 4467 primary breast cancers and focused on ER positive disease. We did not observe a significant prognostic value of RANK and RANKL mRNA expression. In contrast, OPG was associated with a better prognosis among 1941 ER positive cancers (HR 0.64, 95% CI 0.53-0.77; P < 0.0001) using a cutoff from its highly bimodal expression. We detected considerable heterogeneity regarding the prognostic value of OPG between different datasets. This heterogeneity could neither be attributed to technical reasons nor to differences in standard clinical parameters or treatments of the cohorts. Interestingly, the prognostic value of the progesterone receptor and of OPG showed similar cohort specific effects. Still both factors were no surrogates for each other but contributed independent prognostic value in multivariate analyses. Thus, both OPG and PgR are independently associated with good prognosis in ER positive breast cancer. However both markers share common cohort specific differences in contrast to proliferation markers as Ki67 which may be based on the underlying biology.
Copyright © 2014 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast cancer; Cohort bias; Dataset pooling; Gene expression profiling; Osteoprotegerin; Progesteron receptor; RANK; RANKL

Mesh:

Substances:

Year:  2014        PMID: 24785095      PMCID: PMC5528573          DOI: 10.1016/j.molonc.2014.04.003

Source DB:  PubMed          Journal:  Mol Oncol        ISSN: 1574-7891            Impact factor:   6.603


  54 in total

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Authors:  Laurent Gautier; Leslie Cope; Benjamin M Bolstad; Rafael A Irizarry
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2.  An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival.

Authors:  Lance D Miller; Johanna Smeds; Joshy George; Vinsensius B Vega; Liza Vergara; Alexander Ploner; Yudi Pawitan; Per Hall; Sigrid Klaar; Edison T Liu; Jonas Bergh
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-02       Impact factor: 11.205

3.  Cancer. Heterogeneity and tumor history.

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Journal:  Science       Date:  2012-04-20       Impact factor: 47.728

Review 4.  Gene expression profiling in breast cancer: classification, prognostication, and prediction.

Authors:  Jorge S Reis-Filho; Lajos Pusztai
Journal:  Lancet       Date:  2011-11-19       Impact factor: 79.321

Review 5.  Effects of bone-targeted agents on cancer progression and mortality.

Authors:  Robert Coleman; Michael Gnant; Gareth Morgan; Philippe Clezardin
Journal:  J Natl Cancer Inst       Date:  2012-07-02       Impact factor: 13.506

6.  Prognostic evaluation of the B cell/IL-8 metagene in different intrinsic breast cancer subtypes.

Authors:  Lars C Hanker; Achim Rody; Uwe Holtrich; Lajos Pusztai; Eugen Ruckhaeberle; Cornelia Liedtke; Andre Ahr; Tomas M Heinrich; Nicole Sänger; Sven Becker; Thomas Karn
Journal:  Breast Cancer Res Treat       Date:  2012-12-16       Impact factor: 4.872

7.  Comparison of scores for bimodality of gene expression distributions and genome-wide evaluation of the prognostic relevance of high-scoring genes.

Authors:  Birte Hellwig; Jan G Hengstler; Marcus Schmidt; Mathias C Gehrmann; Wiebke Schormann; Jörg Rahnenführer
Journal:  BMC Bioinformatics       Date:  2010-05-25       Impact factor: 3.169

8.  A phase I study of AMGN-0007, a recombinant osteoprotegerin construct, in patients with multiple myeloma or breast carcinoma related bone metastases.

Authors:  Jean-Jacques Body; Philip Greipp; Robert E Coleman; Thierry Facon; Filip Geurs; Jean-Paul Fermand; Jean-Luc Harousseau; Allan Lipton; Xavier Mariette; Catherine D Williams; Arline Nakanishi; Donna Holloway; Steven W Martin; Colin R Dunstan; Pirow J Bekker
Journal:  Cancer       Date:  2003-02-01       Impact factor: 6.860

9.  The bimodality index: a criterion for discovering and ranking bimodal signatures from cancer gene expression profiling data.

Authors:  Jing Wang; Sijin Wen; W Fraser Symmans; Lajos Pusztai; Kevin R Coombes
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Review 10.  The causes and consequences of genetic heterogeneity in cancer evolution.

Authors:  Rebecca A Burrell; Nicholas McGranahan; Jiri Bartek; Charles Swanton
Journal:  Nature       Date:  2013-09-19       Impact factor: 49.962

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  12 in total

Review 1.  Deciphering the divergent roles of progestogens in breast cancer.

Authors:  Jason S Carroll; Theresa E Hickey; Gerard A Tarulli; Michael Williams; Wayne D Tilley
Journal:  Nat Rev Cancer       Date:  2016-11-25       Impact factor: 60.716

2.  OPG and PgR show similar cohort specific effects as prognostic factors in ER positive breast cancer.

Authors:  Nicole Sänger; Eugen Ruckhäberle; Giampaolo Bianchini; Tomas Heinrich; Karin Milde-Langosch; Volkmar Müller; Achim Rody; Erich Franz Solomayer; Tanja Fehm; Uwe Holtrich; Sven Becker; Thomas Karn
Journal:  Mol Oncol       Date:  2014-04-15       Impact factor: 6.603

3.  Acid ceramidase is associated with an improved prognosis in both DCIS and invasive breast cancer.

Authors:  Nicole Sänger; Eugen Ruckhäberle; Balazs Györffy; Knut Engels; Tomas Heinrich; Tanja Fehm; Anna Graf; Uwe Holtrich; Sven Becker; Thomas Karn
Journal:  Mol Oncol       Date:  2014-07-31       Impact factor: 6.603

4.  Osteoprotegerin (OPG), The Endogenous Inhibitor of Receptor Activator of NF-κB Ligand (RANKL), is Dysregulated in BRCA Mutation Carriers.

Authors:  Martin Widschwendter; Matthew Burnell; Lindsay Fraser; Adam N Rosenthal; Sue Philpott; Daniel Reisel; Louis Dubeau; Mark Cline; Yang Pan; Ping-Cheng Yi; D Gareth Evans; Ian J Jacobs; Usha Menon; Charles E Wood; William C Dougall
Journal:  EBioMedicine       Date:  2015-09-09       Impact factor: 8.143

Review 5.  Osteoprotegerin in breast cancer: beyond bone remodeling.

Authors:  Michael Weichhaus; Stephanie Tsang Mui Chung; Linda Connelly
Journal:  Mol Cancer       Date:  2015-06-10       Impact factor: 27.401

6.  The E3 ubiquitin ligase Cbl-b improves the prognosis of RANK positive breast cancer patients by inhibiting RANKL-induced cell migration and metastasis.

Authors:  Lingyun Zhang; Yuee Teng; Yibo Fan; Yan Wang; Wei Li; Jing Shi; Yanju Ma; Ce Li; Xiaonan Shi; Xiujuan Qu; Yunpeng Liu
Journal:  Oncotarget       Date:  2015-09-08

7.  Osteoprotegerin and breast cancer risk by hormone receptor subtype: a nested case-control study in the EPIC cohort.

Authors:  Renée T Fortner; Danja Sarink; Helena Schock; Theron Johnson; Anne Tjønneland; Anja Olsen; Kim Overvad; Aurélie Affret; Mathilde His; Marie-Christine Boutron-Ruault; Heiner Boeing; Antonia Trichopoulou; Androniki Naska; Philippos Orfanos; Domenico Palli; Sabina Sieri; Amalia Mattiello; Rosario Tumino; Fulvio Ricceri; H Bas Bueno-de-Mesquita; Petra H M Peeters; Carla H Van Gils; Elisabete Weiderpass; Eiliv Lund; J Ramón Quirós; Antonio Agudo; Maria-José Sánchez; María-Dolores Chirlaque; Eva Ardanaz; Miren Dorronsoro; Tim Key; Kay-Tee Khaw; Sabina Rinaldi; Laure Dossus; Marc Gunter; Melissa A Merritt; Elio Riboli; Rudolf Kaaks
Journal:  BMC Med       Date:  2017-02-08       Impact factor: 8.775

8.  Evaluation of the Prognostic Value of RANK, OPG, and RANKL mRNA Expression in Early Breast Cancer Patients Treated with Anthracycline-Based Adjuvant Chemotherapy.

Authors:  Eleni Timotheadou; Konstantine T Kalogeras; Georgia-Angeliki Koliou; Ralph M Wirtz; Flora Zagouri; Angelos Koutras; Elke Veltrup; Christos Christodoulou; George Pentheroudakis; Aris Tsiftsoglou; Pavlos Papakostas; Gerasimos Aravantinos; Vasilios Venizelos; Dimitrios Pectasides; Paris Kosmidis; Charisios Karanikiotis; Christos Markopoulos; Helen Gogas; George Fountzilas
Journal:  Transl Oncol       Date:  2017-06-27       Impact factor: 4.243

9.  RANK/OPG ratio of expression in primary clear-cell renal cell carcinoma is associated with bone metastasis and prognosis in patients treated with anti-VEGFR-TKIs.

Authors:  B Beuselinck; J Jean-Baptiste; G Couchy; S Job; A De Reynies; P Wolter; C Théodore; G Gravis; B Rousseau; L Albiges; S Joniau; V Verkarre; E Lerut; J J Patard; P Schöffski; A Méjean; R Elaidi; S Oudard; J Zucman-Rossi
Journal:  Br J Cancer       Date:  2015-10-13       Impact factor: 7.640

10.  Receptor activator of nuclear factor kB ligand, osteoprotegerin, and risk of death following a breast cancer diagnosis: results from the EPIC cohort.

Authors:  Danja Sarink; Helena Schock; Theron Johnson; Jenny Chang-Claude; Kim Overvad; Anja Olsen; Anne Tjønneland; Patrick Arveux; Agnès Fournier; Marina Kvaskoff; Heiner Boeing; Anna Karakatsani; Antonia Trichopoulou; Carlo La Vecchia; Giovanna Masala; Claudia Agnoli; Salvatore Panico; Rosario Tumino; Carlotta Sacerdote; Carla H van Gils; Petra H M Peeters; Elisabete Weiderpass; Antonio Agudo; Miguel Rodríguez-Barranco; José María Huerta; Eva Ardanaz; Leire Gil; Kay Tee Kaw; Julie A Schmidt; Laure Dossus; Mathilde His; Dagfinn Aune; Elio Riboli; Rudolf Kaaks; Renée T Fortner
Journal:  BMC Cancer       Date:  2018-10-22       Impact factor: 4.430

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