Literature DB >> 27344290

Concordance rates of biomarkers uPA and PAI-1 results in primary breast cancer vs. consecutive tumor board decision and therapy performed in clinical hospital routine: Results of a prospective multi-center study at certified breast centers.

Volker R Jacobs1, Doris Augustin2, Arthur Wischnik3, Marion Kiechle4, Cornelia Hoess5, Oliver Steinkohl6, Brigitte Rack7, Thomas Kapitza8, Peter Krase9.   

Abstract

OBJECTIVE: Biomarkers uPA and PAI-1 are guideline recommended by ASCO (USA) and AGO (Germany) in primary breast cancer to avoid unnecessary CTX in patients at medium risk for recurrence. For clinical quality assurance of uPA/PAI-1 testing, analysis of test-therapy concordance was performed.
METHODS: Prospective non-interventional multi-center study over 2 years among six Certified Breast Centers in Germany to investigate uPA/PAI-1 results in consecutive decision making for tumor board recommendation and actual therapy in uninfluenced clinical setting. Concordance and discordance rates of uPA/PAI-1 testing were calculated and individual reasons for decision making analyzed.
RESULTS: Among n = 93 uPA/PAI-1 tests evaluated n = 42/93 (45.2%) were uPA + PAI-1 negative and n = 51/93 (54.8%) uPA and/or PAI-1 positive. In uPA + PAI-1 negative test results in n = 35/42 (83.3%) CTX was avoided as recommended. But in n = 7/42 (16.7%) CTX was performed despite, resulting in over treatment. In uPA and/or PAI-1 positive test results in n = 26/51 (51.0%) CTX was performed but in n = 25/51 (49.0%) not despite recommendation for CTX which is under treatment. The conformity of uPA/PAI-1 test result vs. tumor board decision was n = 73/93 (78.5%). The overall concordance of uPA/PAI-1 test result vs. consecutive therapy was n = 61/93 (65.6%). A variety of reasons for individual result-deviating decisions were identified.
CONCLUSIONS: Clinical quality assurance of uPA/PAI-1 biomarker testing showed inconsistency of test results with consecutive tumor board decision and/or final therapy performed in up to 1/3 of patients. To close this clinical quality gap in application of uPA/PAI-1 biomarkers, individual analysis of deviations is suggested with process optimization accordingly.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomarker; Breast cancer; Cost; Decision making; Quality assurance; Tumor board

Mesh:

Substances:

Year:  2016        PMID: 27344290     DOI: 10.1016/j.breast.2016.06.014

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  2 in total

Review 1.  Protein biomarkers for subtyping breast cancer and implications for future research.

Authors:  Claudius Mueller; Amanda Haymond; Justin B Davis; Alexa Williams; Virginia Espina
Journal:  Expert Rev Proteomics       Date:  2018-01-03       Impact factor: 3.940

2.  Prognostic role of urokinase plasminogen activator in hepatocellular carcinoma: A protocol for systematic review and meta analysis.

Authors:  Pengxian Tao; Lei Gao; Haiyuan Li; Bofang Wang; Xuemei Li; Ying Zhang; Hao Chen
Journal:  Medicine (Baltimore)       Date:  2020-12-24       Impact factor: 1.817

  2 in total

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