Literature DB >> 29487982

[Metastatic breast cancer in the spine : Molecular predictors for choosing adequate treatment strategies].

D Adler1, M Kriegsmann2, P Sinn2, A Schneeweiss3, H Almansour1, B Lehner4, M Akbar5.   

Abstract

Breast cancer is the most common malignancy affecting women and the spinal column is most likely affected by metastases. Modern oncologic treatment options have significantly prolonged survival times in the last decade. Therefore, treatment of vertebral metastases has been of special interest in spine surgery. Different scores are described to evaluate prognosis and to choose correct treatment strategies, which however only differentiate tumor entities and not specific tumor phenotypes. Breast cancer has been classified into five intrinsic subtypes with different survival rates since the turn of the millennium. The aim of this review was to describe molecular predictors of breast cancer malignancy and to better estimate expected survival times and invasiveness of therapies with regard to spinal metastases.

Entities:  

Keywords:  Mean survival time; Metastasis; Phenotype; Prognostic factors; Vertebral column

Mesh:

Year:  2018        PMID: 29487982     DOI: 10.1007/s00132-018-3540-9

Source DB:  PubMed          Journal:  Orthopade        ISSN: 0085-4530            Impact factor:   1.087


  57 in total

Review 1.  [Prognosis scores for spinal metastases].

Authors:  N H von der Höh; J Gulow; S K Tschöke; A Völker; C E Heyde
Journal:  Orthopade       Date:  2013-09       Impact factor: 1.087

Review 2.  Review of metastatic spine tumour classification and indications for surgery: the consensus statement of the Global Spine Tumour Study Group.

Authors:  David Choi; A Crockard; C Bunger; J Harms; N Kawahara; C Mazel; R Melcher; K Tomita
Journal:  Eur Spine J       Date:  2009-12-29       Impact factor: 3.134

Review 3.  The treatment of spinal metastases.

Authors:  Karl-Stefan Delank; Clemens Wendtner; Hans Theodor Eich; Peer Eysel
Journal:  Dtsch Arztebl Int       Date:  2011-02-04       Impact factor: 5.594

4.  Predictive value of Tokuhashi scoring systems in spinal metastases, focusing on various primary tumor groups: evaluation of 448 patients in the Aarhus spinal metastases database.

Authors:  Miao Wang; Cody Eric Bünger; Haisheng Li; Chunsen Wu; Kristian Høy; Bent Niedermann; Peter Helmig; Yu Wang; Anders Bonde Jensen; Katrin Schättiger; Ebbe Stender Hansen
Journal:  Spine (Phila Pa 1976)       Date:  2012-04-01       Impact factor: 3.468

5.  [Interventional radiology in bone metastases].

Authors:  Jacques Chiras; Evelyne Cormier; Hector Baragan; Betty Jean; Michèle Rose
Journal:  Bull Cancer       Date:  2007-02       Impact factor: 1.276

6.  Multigene Assays for Classification, Prognosis, and Prediction in Breast Cancer: a Critical Review on the Background and Clinical Utility.

Authors:  P Sinn; S Aulmann; R Wirtz; S Schott; F Marmé; Z Varga; A Lebeau; H Kreipe; A Schneeweiss
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-09       Impact factor: 2.915

7.  Hyperprolactinemia is an indicator of progressive disease and poor prognosis in advanced breast cancer.

Authors:  W Holtkamp; G A Nagel; H E Wander; H F Rauschecker; D von Heyden
Journal:  Int J Cancer       Date:  1984-09-15       Impact factor: 7.396

8.  [Role and limitations of vertebroplasty and kyphoplasty in the management of spinal metastases].

Authors:  M Akbar; M Eichler; S Hagmann; B Lehner; S Hemmer; C Kasperk; B Wiedenhöfer
Journal:  Orthopade       Date:  2012-08       Impact factor: 1.087

9.  Survival after surgery for spinal and extremity metastases. Prognostication in 241 patients.

Authors:  H C Bauer; R Wedin
Journal:  Acta Orthop Scand       Date:  1995-04

10.  Comparisons between different polychemotherapy regimens for early breast cancer: meta-analyses of long-term outcome among 100,000 women in 123 randomised trials.

Authors:  R Peto; C Davies; J Godwin; R Gray; H C Pan; M Clarke; D Cutter; S Darby; P McGale; C Taylor; Y C Wang; J Bergh; A Di Leo; K Albain; S Swain; M Piccart; K Pritchard
Journal:  Lancet       Date:  2011-12-05       Impact factor: 79.321

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  1 in total

1.  Characterization of Cancer-Induced Nociception in a Murine Model of Breast Carcinoma.

Authors:  Amanda Spring de Almeida; Flávia Karine Rigo; Samira Dal-Toé De Prá; Alessandra Marcone Milioli; Diéssica Padilha Dalenogare; Gabriele Cheiran Pereira; Camila Dos Santos Ritter; Diulle Spat Peres; Caren Tatiane de David Antoniazzi; Carolina Stein; Rafael Noal Moresco; Sara Marchesan Oliveira; Gabriela Trevisan
Journal:  Cell Mol Neurobiol       Date:  2019-03-08       Impact factor: 5.046

  1 in total

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