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Original Research

A Practical Predictive Model Based on Ultrasound Imaging and Clinical Indices for Estimation of Response to Neoadjuvant Chemotherapy in Patients with Breast Cancer

, , & ORCID Icon
Pages 7783-7793 | Published online: 09 Oct 2021

References

  • DeSantis CE, Ma J, Gaudet MM, et al. Breast cancer statistics, 2019. CA Cancer J Clin. 2019;69(6):438–451.31577379
  • Vugts G, Maaskant-Braat AJ, Nieuwenhuijzen GA, Roumen RM, Luiten EJ, Voogd AC. Patterns of care in the administration of neo-adjuvant chemotherapy for breast cancer. a population-based study. Breast J. 2016;22(3):316–321. doi:10.1111/tbj.1256826945566
  • Clough KB, Acosta-Marín V, Nos C, et al. Rates of neoadjuvant chemotherapy and oncoplastic surgery for breast cancer surgery: a French National Survey. Ann Surg Oncol. 2015;22(11):3504–3511. doi:10.1245/s10434-015-4378-625665949
  • Cortazar P, Zhang L, Untch M, et al. Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis. Lancet. 2014;384(9938):164–172. doi:10.1016/S0140-6736(13)62422-824529560
  • Abrial SC, Penault-Llorca F, Delva R, et al. High prognostic significance of residual disease after neoadjuvant chemotherapy: a retrospective study in 710 patients with operable breast cancer. Breast Cancer Res Treat. 2005;94(3):255–263. doi:10.1007/s10549-005-9008-816267618
  • Rouzier R, Extra JM, Klijanienko J, et al. Incidence and prognostic significance of complete axillary downstaging after primary chemotherapy in breast cancer patients with T1 to T3 tumors and cytologically proven axillary metastatic lymph nodes. J Clin Oncol. 2002;20(5):1304–1310. doi:10.1200/JCO.2002.20.5.130411870173
  • Caudle AS, Yang WT, Mittendorf EA, et al. Selective surgical localization of axillary lymph nodes containing metastases in patients with breast cancer: a prospective feasibility trial. JAMA Surg. 2015;150(2):137–143. doi:10.1001/jamasurg.2014.108625517573
  • Hennessy BT, Hortobagyi GN, Rouzier R, et al. Outcome after pathologic complete eradication of cytologically proven breast cancer axillary node metastases following primary chemotherapy. J Clin Oncol. 2005;23(36):9304–9311. doi:10.1200/JCO.2005.02.502316361629
  • Hurvitz SA, Martin M, Symmans WF, et al. Neoadjuvant trastuzumab, pertuzumab, and chemotherapy versus trastuzumab emtansine plus pertuzumab in patients with HER2-positive breast cancer (KRISTINE): a randomised, open-label, multicentre, Phase 3 trial. Lancet Oncol. 2018;19(1):115–126. doi:10.1016/S1470-2045(17)30716-729175149
  • Kantor O, Sipsy LM, Yao K, James TA, Predictive A. Model for axillary node pathologic complete response after neoadjuvant chemotherapy for breast cancer. Ann Surg Oncol. 2018;25(5):1304–1311. doi:10.1245/s10434-018-6345-529368152
  • Davis J Jr, Hoskin TL, Day CN, et al. Performance and clinical utility of models predicting eradication of nodal disease in patients with clinically node-positive breast cancer treated with neoadjuvant chemotherapy by tumor biology. Ann Surg Oncol. 2020;27(12):4678–4686. doi:10.1245/s10434-020-08885-w32729046
  • Zhang J, Xiao L, Pu S, Liu Y, He J, Wang K. Can we reliably identify the pathological outcomes of neoadjuvant chemotherapy in patients with breast cancer? Development and validation of a logistic regression nomogram based on preoperative factors. Ann Surg Oncol. 2021;28(5):2632–2645. doi:10.1245/s10434-020-09214-x33095360
  • Kim WH, Kim HJ, Park HY, et al. Axillary pathologic complete response to neoadjuvant chemotherapy in clinically node-positive breast cancer patients: a predictive model integrating the imaging characteristics of ultrasound restaging with known clinicopathologic characteristics. Ultrasound Med Biol. 2019;45(3):702–709. doi:10.1016/j.ultrasmedbio.2018.10.02630567630
  • Hwang HW, Jung H, Hyeon J, et al. A nomogram to predict pathologic complete response (pCR) and the value of tumor-infiltrating lymphocytes (TILs) for prediction of response to neoadjuvant chemotherapy (NAC) in breast cancer patients. Breast Cancer Res Treat. 2019;173(2):255–266. doi:10.1007/s10549-018-4981-x30324273
  • Matsuda N, Hayashi N, Ohde S, et al. A nomogram for predicting locoregional recurrence in primary breast cancer patients who received breast-conserving surgery after neoadjuvant chemotherapy. J Surg Oncol. 2014;109(8):764–769. doi:10.1002/jso.2358624647874
  • Park KU, Chen Y, Chitale D, et al. Utilization of the 21-gene recurrence score in a diverse breast cancer patient population: development of a clinicopathologic model to predict high-risk scores and response to neoadjuvant chemotherapy. Ann Surg Oncol. 2018;25(7):1921–1927. doi:10.1245/s10434-018-6440-729679201
  • Tabchy A, Valero V, Vidaurre T, et al. Evaluation of a 30-gene paclitaxel, fluorouracil, doxorubicin, and cyclophosphamide chemotherapy response predictor in a multicenter randomized trial in breast cancer. Clin Cancer Res. 2010;16(21):5351–5361. doi:10.1158/1078-0432.CCR-10-126520829329
  • Vila J, Mittendorf EA, Farante G, et al. Nomograms for predicting axillary response to neoadjuvant chemotherapy in clinically node-positive patients with breast cancer. Ann Surg Oncol. 2016;23(11):3501–3509. doi:10.1245/s10434-016-5277-127216742
  • Zhang F, Huang M, Zhou H, et al. A nomogram to predict the pathologic complete response of neoadjuvant chemotherapy in triple-negative breast cancer based on simple laboratory indicators. Ann Surg Oncol. 2019;26(12):3912–3919. doi:10.1245/s10434-019-07655-731359285
  • Keam B, Im SA, Park S, et al. Nomogram predicting clinical outcomes in breast cancer patients treated with neoadjuvant chemotherapy. J Cancer Res Clin Oncol. 2011;137(9):1301–1308. doi:10.1007/s00432-011-0991-321717200
  • Zhu J, Jiao D, Zhao Y, et al. Development of a predictive model utilizing the neutrophil to lymphocyte ratio to predict neoadjuvant chemotherapy efficacy in early breast cancer patients. Sci Rep. 2021;11(1):1350. doi:10.1038/s41598-020-80037-233446717
  • Pu S, Wang K, Liu Y, et al. Nomogram-derived prediction of pathologic complete response (pCR) in breast cancer patients treated with neoadjuvant chemotherapy (NCT). BMC Cancer. 2020;20(1):1120. doi:10.1186/s12885-020-07621-733213397
  • Kim SY, Cho N, Choi Y, et al. Factors affecting pathologic complete response following neoadjuvant chemotherapy in breast cancer: development and validation of a predictive nomogram. Radiology. 2021;299(2):290–300. doi:10.1148/radiol.202120387133754824
  • Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009;45(2):228–247. doi:10.1016/j.ejca.2008.10.02619097774
  • Dziak JJ, Coffman DL, Lanza ST, Li R, Jermiin LS. Sensitivity and specificity of information criteria. Brief Bioinform. 2020;21(2):553–565. doi:10.1093/bib/bbz01630895308
  • Corbeau I, Jacot W, Guiu S. Neutrophil to lymphocyte ratio as prognostic and predictive factor in breast cancer patients: a systematic review. Cancers. 2020;12(4). doi:10.3390/cancers12040958
  • Okuturlar Y, Gunaldi M, Tiken EE, et al. Utility of peripheral blood parameters in predicting breast cancer risk. Asian Pac J Cancer Prev. 2015;16(6):2409–2412. doi:10.7314/APJCP.2015.16.6.240925824773
  • Graziano V, Grassadonia A, Iezzi L, et al. Combination of peripheral neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio is predictive of pathological complete response after neoadjuvant chemotherapy in breast cancer patients. Breast. 2019;44:33–38. doi:10.1016/j.breast.2018.12.01430611095
  • Asselain B, Barlow W, Bartlett J. Long-term outcomes for neoadjuvant versus adjuvant chemotherapy in early breast cancer: meta-analysis of individual patient data from ten randomised trials. Lancet Oncol. 2018;19(1):27–39. doi:10.1016/S1470-2045(17)30777-529242041
  • von Minckwitz G, Untch M, Blohmer JU, et al. Definition and impact of pathologic complete response on prognosis after neoadjuvant chemotherapy in various intrinsic breast cancer subtypes. J Clin Oncol. 2012;30(15):1796–1804. doi:10.1200/JCO.2011.38.859522508812
  • Kong X, Moran MS, Zhang N, Haffty B, Yang Q. Meta-analysis confirms achieving pathological complete response after neoadjuvant chemotherapy predicts favourable prognosis for breast cancer patients. Eur J Cancer. 2011;47(14):2084–2090. doi:10.1016/j.ejca.2011.06.01421737257
  • Asano Y, Kashiwagi S, Onoda N, et al. Predictive value of neutrophil/lymphocyte ratio for efficacy of preoperative chemotherapy in triple-negative breast cancer. Ann Surg Oncol. 2016;23(4):1104–1110. doi:10.1245/s10434-015-4934-026511266
  • Bae SJ, Cha YJ, Yoon C, et al. Prognostic value of neutrophil-to-lymphocyte ratio in human epidermal growth factor receptor 2-negative breast cancer patients who received neoadjuvant chemotherapy. Sci Rep. 2020;10(1):13078. doi:10.1038/s41598-020-69965-132753659
  • Elinav E, Nowarski R, Thaiss CA, Hu B, Jin C, Flavell RA. Inflammation-induced cancer: crosstalk between tumours, immune cells and microorganisms. Nat Rev Cancer. 2013;13(11):759–771. doi:10.1038/nrc361124154716
  • Bui JD, Schreiber RD. Cancer immunosurveillance, immunoediting and inflammation: independent or interdependent processes? Curr Opin Immunol. 2007;19(2):203–208. doi:10.1016/j.coi.2007.02.00117292599
  • Fu JF, Chen HL, Yang J, Yi CH, Zheng S. Feasibility and accuracy of sentinel lymph node biopsy in clinically node-positive breast cancer after neoadjuvant chemotherapy: a meta-analysis. PLoS One. 2014;9(9):e105316. doi:10.1371/journal.pone.010531625210779