Deutsch
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
BMC Cancer 2020-May

Early prediction of pathologic response to neoadjuvant treatment of breast cancer: use of a cell-loss metric based on serum thymidine kinase 1 and tumour volume

Nur registrierte Benutzer können Artikel übersetzen
Einloggen Anmelden
Der Link wird in der Zwischenablage gespeichert
Bernhard Tribukait

Schlüsselwörter

Abstrakt

Background: After neoadjuvant chemotherapy of breast cancer pathologic complete response (pCR) indicates a favorable prognosis. Among non-selected patients, pCR is, however, achieved in only 10-30%. Early evaluation of tumour response to treatment would facilitate individualized therapy, with ineffective chemotherapy interrupted or changed. The methodology for this purpose is still limited. Tumour imaging and analysis of macromolecules, released from disrupted tumour cells, are principal alternatives.

Objective: To investigate whether a metric of cell-loss, defined as the ratio between serum concentration of thymidine kinase1 (sTK1, ng x ml- 1) and tumour volume, can be used for early prediction of pathologic response.

Methods: One hunred four women with localized breast cancer received neoadjuvant epirubicin/docetaxel in 6 cycles, supplemented with bevacizumab in cycles 3-6. The cell-loss metric was established at baseline (n = 104), 48 h after cycle 2 (n = 104) and prior to cycle 2 (n = 57). The performance of the metric was evaluated by association with pathologic tumour response at surgery 4 months later.

Results: Treatment caused a rise in sTK1, a reduction in tumour volume and a marked increase in the cell-loss metric. Patients were subdivided into quartiles according to the baseline cell-loss metric. For these groups, baseline means were 0.0016, 0.0042, 0.0062, 0.0178 units. After subtraction of baselines, means for the quartiles 48 h after treatment 2 were 0.002, 0.011, 0.030 and 0.357 units. pCR was achieved in 24/104, their distribution in the quartiles (11, 11, 23 and 46%) differed significantly (p = 0.01). In 80 patients with remaining tumour, tumour size was inversely related to the metric (p = 0.002). In 57 patients studied before treatment 2, positive and negative predictive values of the metric were 77.8 and 83.3%, compared to 40.5 and 88.7% 48 h after treatment 2.

Conclusion: A cell-loss metric, based on serum levels of TK1, released from disrupted tumour cells, and tumour volume, reveal tumour response early during neoadjuvant treatment. The metric reflect tumour properties that differ greatly between patients and determine the sensitivity to cytotoxic treatment. The findings point to the significance of cell loss for tumour growth rate. The metric should be considered in personalized oncology and in the evaluation of new therapeutic modalities.

Trial registration: PROMIX (Clinical Trials.govNCT000957125).

Trial registration: ClinicalTrials.gov NCT00957125.

Keywords: Biomarker; Breast cancer; Cell-loss; Circulating thymidine kinase 1; Treatment response.

Treten Sie unserer
Facebook-Seite bei

Die vollständigste Datenbank für Heilkräuter, die von der Wissenschaft unterstützt wird

  • Arbeitet in 55 Sprachen
  • Von der Wissenschaft unterstützte Kräuterkuren
  • Kräutererkennung durch Bild
  • Interaktive GPS-Karte - Kräuter vor Ort markieren (in Kürze)
  • Lesen Sie wissenschaftliche Veröffentlichungen zu Ihrer Suche
  • Suchen Sie nach Heilkräutern nach ihrer Wirkung
  • Organisieren Sie Ihre Interessen und bleiben Sie über Neuigkeiten, klinische Studien und Patente auf dem Laufenden

Geben Sie ein Symptom oder eine Krankheit ein und lesen Sie über Kräuter, die helfen könnten, geben Sie ein Kraut ein und sehen Sie Krankheiten und Symptome, gegen die es angewendet wird.
* Alle Informationen basieren auf veröffentlichten wissenschaftlichen Forschungsergebnissen

Google Play badgeApp Store badge