18F-FDG PET/CT for early prediction of pathological complete response in breast cancer neoadjuvant therapy: a retrospective analysis

被引:1
作者
Wu, Yilin [1 ]
Li, Yanling [2 ]
Chen, Bin [1 ]
Zhang, Ying [1 ]
Xing, Wanying [1 ]
Guo, Baoliang [2 ]
Wang, Wan [1 ]
机构
[1] Jilin Univ, China Japan Union Hosp, Dept Breast Surg, 126 Xiantai St, Changchun 130033, Peoples R China
[2] Harbin Med Univ, Affiliated Hosp 2, Dept Gen Surg, 246 Xuefu St, Harbin 150001, Peoples R China
关键词
18F-FDG PET/CT; neoadjuvant therapy; drug response; breast cancer; ADAPTED STRATEGY; OPEN-LABEL; CHEMOTHERAPY; PHERGAIN; IMPACT;
D O I
10.1093/oncolo/oyae185
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Neoadjuvant treatment has been developed as a systematic approach for patients with early breast cancer and has resulted in improved breast-conserving rate and survival. However, identifying treatment-sensitive patients at the early phase of therapy remains a problem, hampering disease management and raising the possibility of disease progression during treatment.Methods In this retrospective analysis, we collected 2-deoxy-2-[F-18] fluoro-d-glucose (18F-FDG) positron emission tomography (PET)/computed tomography (CT) images of primary tumor sites and axillary areas and reciprocal clinical pathological data from 121 patients who underwent neoadjuvant treatment and surgery in our center. The univariate and multivariate logistic regression analyses were performed to investigate features associated with pathological complete response (pCR). An 18F-FDG PET/CT-based prediction model was trained, and the performance was evaluated by receiver operating characteristic curves (ROC).Results The maximum standard uptake values (SUVmax) of 18F-FDG PET/CT were a powerful indicator of tumor status. The SUVmax values of axillary areas were closely related to metastatic lymph node counts (R = 0.62). Moreover, the early SUVmax reduction rates (between baseline and second cycle of neoadjuvant treatment) were statistically different between pCR and non-pCR patients. The early SUVmax reduction rates-based model showed great ability to predict pCR (AUC = 0.89), with all molecular subtypes (HR+HER2-, HR+HER2+, HR-HER2+, and HR-HER2-) considered.Conclusion Our research proved that the SUVmax reduction rate of 18F-FDG PET/CT contributed to the early prediction of pCR, providing rationales for utilizing PET/CT in NAT in the future. Neoadjuvant treatment has been developed as a systematic approach for patients with early-stage breast cancer; however, identifying treatment-sensitive patients at the early phase of therapy is a challenge.
引用
收藏
页码:e1646 / e1655
页数:10
相关论文
共 33 条
[1]  
[Anonymous], 2018, Lancet Oncol, V19, P27
[2]   I-SPY 2: An Adaptive Breast Cancer Trial Design in the Setting of Neoadjuvant Chemotherapy [J].
Barker, A. D. ;
Sigman, C. C. ;
Kelloff, G. J. ;
Hylton, N. M. ;
Berry, D. A. ;
Esserman, L. J. .
CLINICAL PHARMACOLOGY & THERAPEUTICS, 2009, 86 (01) :97-100
[3]   Ultrasound-based prediction of pathologic response to neoadjuvant chemotherapy in breast cancer patients [J].
Baumgartner, Annina ;
Tausch, Christoph ;
Hosch, Stefanie ;
Papassotiropoulos, Barbel ;
Varga, Zsuzsanna ;
Rageth, Christoph ;
Baege, Astrid .
BREAST, 2018, 39 :19-23
[4]   PD-L1 Expression in TNBC: A Predictive Biomarker of Response to Neoadjuvant Chemotherapy? [J].
Cerbelli, Bruna ;
Pernazza, Angelina ;
Botticelli, Andrea ;
Fortunato, Lucio ;
Monti, Massimo ;
Sciattella, Paolo ;
Campagna, Domenico ;
Mazzuca, Federica ;
Mauri, Maria ;
Naso, Giuseppe ;
Marchetti, Paolo ;
d'Amati, Giulia ;
Costarelli, Leopoldo .
BIOMED RESEARCH INTERNATIONAL, 2017, 2017
[5]   Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis [J].
Cortazar, Patricia ;
Zhang, Lijun ;
Untch, Michael ;
Mehta, Keyur ;
Costantino, Joseph P. ;
Wolmark, Norman ;
Bonnefoi, Herve ;
Cameron, David ;
Gianni, Luca ;
Valagussa, Pinuccia ;
Swain, Sandra M. ;
Prowell, Tatiana ;
Loibl, Sibylle ;
Wickerham, D. Lawrence ;
Bogaerts, Jan ;
Baselga, Jose ;
Perou, Charles ;
Blumenthal, Gideon ;
Blohmer, Jens ;
Mamounas, Eleftherios P. ;
Bergh, Jonas ;
Semiglazov, Vladimir ;
Justice, Robert ;
Eidtmann, Holger ;
Paik, Soonmyung ;
Piccart, Martine ;
Sridhara, Rajeshwari ;
Fasching, Peter A. ;
Slaets, Leen ;
Tang, Shenghui ;
Gerber, Bernd ;
Geyer, Charles E., Jr. ;
Pazdur, Richard ;
Ditsch, Nina ;
Rastogi, Priya ;
Eiermann, Wolfgang ;
von Minckwitz, Gunter .
LANCET, 2014, 384 (9938) :164-172
[6]   Imaging sensitivity of dedicated positron emission mammography in relation to tumor size [J].
Eo, Jae Seon ;
Chun, In Kook ;
Paeng, Jin Chul ;
Kang, Keon Wook ;
Lee, Sang Mi ;
Han, Wonshik ;
Noh, Dong-Young ;
Chung, June-Key ;
Lee, Dong Soo .
BREAST, 2012, 21 (01) :66-71
[7]  
Fowler AM, 2022, LANCET ONCOL, V23, pE32, DOI 10.1016/S1470-2045(21)00577-5
[8]   Molecular Biomarkers Predict Pathological Complete Response of Neoadjuvant Chemotherapy in Breast Cancer Patients: Review [J].
Freitas, Ana Julia Aguiar de ;
Causin, Rhafaela Lima ;
Varuzza, Muriele Bertagna ;
Hidalgo Filho, Cassio Murilo Trovo ;
Silva, Vinicius Duval da ;
Souza, Cristiano de Padua ;
Marques, Marcia Maria Chiquitelli .
CANCERS, 2021, 13 (21)
[9]   Evaluation of Neoadjuvant Chemotherapy Response with Dynamic Contrast Enhanced Breast Magnetic Resonance Imaging in Locally Advanced Invasive Breast Cancer [J].
Gezer, Naciye Sinem ;
Orbay, Ozge ;
Balci, Pinar ;
Durak, Merih Guray ;
Demirkan, Binnaz ;
Saydam, Serdar .
JOURNAL OF BREAST HEALTH, 2014, 10 (02) :111-118
[10]   Breast Cancer, Version 3.2022 [J].
Gradishar, William J. ;
Moran, Meena S. ;
Abraham, Jame ;
Aft, Rebecca ;
Agnese, Doreen ;
Allison, Kimberly H. ;
Anderson, Bethany ;
Burstein, Harold J. ;
Chew, Helen ;
Dang, Chau ;
Elias, Anthony D. ;
Giordano, Sharon H. ;
Goetz, Matthew P. ;
Goldstein, Lori J. ;
Hurvitz, Sara A. ;
Isakoff, Steven J. ;
Jankowitz, Rachel C. ;
Javid, Sara H. ;
Krishnamurthy, Jairam ;
Leitch, Marilyn ;
Lyons, Janice ;
Mortimer, Joanne ;
Patel, Sameer A. ;
Pierce, Lori J. ;
Rosenberger, Laura H. ;
Rugo, Hope S. ;
Sitapati, Amy ;
Smith, Karen Lisa ;
Smith, Mary Lou ;
Soliman, Hatem ;
Stringer-Reasor, Erica M. ;
Telli, Melinda L. ;
Ward, John H. ;
Wisinski, Kari B. ;
Young, Jessica S. ;
Burns, Jennifer ;
Kumar, Rashmi .
JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK, 2022, 20 (06) :691-722