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

التفاصيل البيبلوغرافية
العنوان: 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
المؤلفون: Bernhard Tribukait, Jonas Bergh, Thomas Hatschek
بيانات النشر: Research Square Platform LLC, 2019.
سنة النشر: 2019
الوصف: Background: After neoadjuvant chemotherapy of breast cancer pathologic complete response (pCR) indicates a favourable 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: 104 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), 48h 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 months̴ later.Results: Treatment caused a rise in sTK1, a reduction in tumour volume and a marked increase in the cell-loss metric. Patients were subdievided 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 48h 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% 48h 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.
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a31867e0dbbd6e85b0c2d539e26fe03Test
https://doi.org/10.21203/rs.2.13682/v1Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....1a31867e0dbbd6e85b0c2d539e26fe03
قاعدة البيانات: OpenAIRE