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Poster Display session 2

5640 - Untargeted assessment of tumor fractions in plasma for monitoring and prognostication from metastatic breast cancer patients undergoing systemic treatment

Date

29 Sep 2019

Session

Poster Display session 2

Topics

Tumour Site

Breast Cancer

Presenters

Marija Balic

Citation

Annals of Oncology (2019) 30 (suppl_5): v104-v142. 10.1093/annonc/mdz242

Authors

M. Balic1, C. Suppan2, I. Brcic3, V. Tiran2, D.H. Mueller2, F. Posch4, P. Ulz5, E. Heitzer5, N. Dandachi6

Author affiliations

  • 1 Department Of Internal Medicine, LKH-Univ. Klinikum Graz, 8036 - Graz/AT
  • 2 Division Of Oncology, Department Of Internal Medicine, Medical University Graz, 8010 - Graz/AT
  • 3 Diagnostic And Research Institute Of Pathology, Medical University Graz, 8010 - Graz/AT
  • 4 Division Of Oncology, LKH-Univ.Klinikum Graz - Universitätsklinik für Innere Medizin, 8036 - Graz/AT
  • 5 Institute Of Human Genetics, Medical University Graz, 8010 - Graz/AT
  • 6 1division Of Oncology; Department Of Internal Medicine, Medical University Graz, 8010 - Graz/AT

Resources

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Abstract 5640

Background

The aim of this study was to assess the prognostic and predictive value of an untargeted assessment of tumor fractions in the plasma of metastatic breast cancer patients and to compare circulating tumor DNA (ctDNA) with circulating tumor cells (CTC) and conventional tumor markers.

Methods

Patients and methods: 29 patients with metastatic breast cancer were included in this single-institution observational cohort study. Blood samples were obtained at first diagnosis of metastases, during several lines of treatment, and/or at every further moment of progression/development of new metastases. We assessed tumor fractions in plasma using an untargeted mFAST-SeqS method. CTCs were captured using a sized-based microfilter and identified as nucleated, cytokeratin positive/CD45 negative cells. Resulting ctDNA z-scores were compared to tumor fractions established with the recently published ichorCNA algorithm and associated with the clinical outcome.

Results

We observed a close correlation between mFAST-SeqS z-scores and ichorCNA ctDNA quantifications. Patients with mFAST-SeqS z-scores above three (34.5%) showed significantly worse overall (p = 0.014) and progression-free survival (p = 0.018) compared to patients with lower values. Elevated z-score values were clearly associated with radiological proven progression. In contrast, baseline CTC count, CEA, and CA15-5 had no prognostic impact on the outcome of patients in the analyzed cohort.

Conclusions

This proof of principle study demonstrates the prognostic impact of ctDNA levels detected with mFAST-SeqS as a very fast and cost-effective means to assess the ctDNA fraction without prior knowledge of the genetic landscape of the tumor. Furthermore, mFAST-SeqS-based ctDNA levels provided an early means of measuring treatment response.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Krebshilfe Steiermark.

Disclosure

All authors have declared no conflicts of interest.

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