Changes in the tumor oxygenation but not in the tumor volume and tumor vascularization reflect early response of breast cancer to neoadjuvant chemotherapy

Author:

Pavlov Mikhail V.1,Bavrina Anna P.2,Plekhanov Vladimir I.3,Golubyatnikov German Yu.3,Orlova Anna G.3,Subochev Pavel V.3,Davydova Diana A.1,Turchin Ilya V.3,Maslennikova Anna V.4

Affiliation:

1. Nizhny Novgorod Regional Clinical Oncology Dispensary

2. Privolzhsky Research Medical University

3. Institute of Applied Physics

4. National Research Lobachevsky State University of Nizhny Novgorod

Abstract

Abstract Background Breast cancer neoadjuvant chemotherapy (NACT) allows assessing tumor sensitivity to systemic treatment, planning adjuvant treatment and follow-up. However, a sufficiently large number of patients fail to achieve the desired level of pathological tumor response while optimal early response assessment methods have not been established now. In our study, we simultaneously assessed the early chemotherapy-induced changes in the tumor volume by Ultrasound (US), the tumor oxygenation by Diffuse Optical Spectroscopy Imaging (DOSI) and the state of the tumor vascular bed by Doppler US to elaborate the predictive criteria of breast tumor response to treatment. Methods A total of 133 patients with a confirmed diagnosis of invasive breast cancer stage II to III admitted to NACT with following definitive breast surgery were enrolled, 108 of them completed the therapy. Tumor oxygenation by DOSI, tumor volume by US and tumor vascularization by Doppler US were determined before the first and before the second cycle of NACT. After NACT completion, patients underwent surgery followed by pathological examination and assessment of the pathological tumor response. On the basis of these data regression predictive models were created. Results We observed changes in all three parameters at the early time after the start of the treatment. However, a high predictive potential for early assessment of tumor sensitivity to NACT demonstrated only the level of oxygenation, ΔStO2, (ρ = 0,802, р≤0,01). The regression model predicts the tumor response with a high probability of a correct conclusion (89,3%). The “Tumor volume” model and the “Vascularization index” model did not accurately predict the absence of a pathological tumor response to treatment (60.9% and 58.7%, respectively), while predicting a positive response to treatment was relatively better (70.9% and 75.4%, respectively). Conclusions Diffuse Optical Spectroscopy Imaging appeared to be a robust tool for early predicting breast cancer response to chemotherapy. It may help identifying patients who need additional molecular genetic study of the tumor in order to find the source of resistance to treatment, as well as to correct the treatment regimen.

Publisher

Research Square Platform LLC

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