Literature DB >> 28737968

Pattern of Tumor Shrinkage during Neoadjuvant Chemotherapy Is Associated with Prognosis in Low-Grade Luminal Early Breast Cancer.

Ippei Fukada1, Kazuhiro Araki1, Kokoro Kobayashi1, Tomoko Shibayama1, Shunji Takahashi1, Naoya Gomi1, Yumi Kokubu1, Katsunori Oikado1, Rie Horii1, Futoshi Akiyama1, Takuji Iwase1, Shinji Ohno1, Kiyohiko Hatake1, Naohiro Sata1, Yoshinori Ito1.   

Abstract

Purpose To evaluate the association between tumor shrinkage patterns shown with magnetic resonance (MR) imaging during neoadjuvant chemotherapy (NAC) and prognosis in patients with low-grade luminal breast cancer. Materials and Methods This retrospective study was approved by the institutional review board and informed consent was obtained from all subjects. The low-grade luminal breast cancer was defined as hormone receptor-positive and human epidermal growth factor receptor 2-negative with nuclear grades 1 or 2. The patterns of tumor shrinkage as revealed at MR imaging were categorized into two types: concentric shrinkage (CS) and non-CS. Among 854 patients who had received NAC in a single institution from January 2000 to December 2009, 183 patients with low-grade luminal breast cancer were retrospectively evaluated for the development set. Another data set from 292 patients who had received NAC in the same institution between January 2010 and December 2012 was used for the validation set. Among these 292 patients, 121 patients with low-grade luminal breast cancer were retrospectively evaluated. Results In the development set, the median observation period was 67.9 months. Recurrence was observed in 31 patients, and 16 deaths were related to breast cancer. There were statistically significant differences in both the disease-free survival (DFS) and overall survival (OS) rates between patterns of tumor shrinkage (P < .001 and P < .001, respectively). Multivariate analysis demonstrated that the CS pattern had the only significant independent association with DFS (P = .001) and OS (P = .009) rate. In the validation set, the median follow-up period was 56.9 months. Recurrence was observed in 20 patients (16.5%) and eight (6.6%) deaths were related to breast cancer. DFS rate was significantly longer in patients with the CS pattern (72.8 months; 95% confidence interval [CI]: 69.9, 75.6 months) than in those with the non-CS pattern (56.0 months; 95% CI: 49.1, 62.9 months; P ≤ .001). The CS pattern was associated with an excellent prognosis (median OS, 80.6 months; 95% CI: 79.3, 81.8 months vs 65.0 months; 95% CI: 60.1, 69.8 months; P = .004). Multivariate analysis demonstrated that the CS pattern had the only significant independent association with DFS (P = .007) and OS (P = .037) rates. Conclusion The CS pattern as revealed at MR imaging during NAC had the only significant independent association with prognosis in patients with low-grade luminal breast cancer. © RSNA, 2017.

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Year:  2017        PMID: 28737968     DOI: 10.1148/radiol.2017161548

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  14 in total

1.  Dynamic Contrast-Enhanced MRI Evaluation of Pathologic Complete Response in Human Epidermal Growth Factor Receptor 2 (HER2)-Positive Breast Cancer After HER2-Targeted Therapy.

Authors:  Laura Heacock; Alana Lewin; Abimbola Ayoola; Melanie Moccaldi; James S Babb; Sungheon G Kim; Linda Moy
Journal:  Acad Radiol       Date:  2019-08-20       Impact factor: 3.173

2.  Analysis of response-related endpoints in trials of first-line medical treatment of metastatic colorectal cancer.

Authors:  Giuseppe A Colloca; Antonella Venturino; Domenico Guarneri
Journal:  Int J Clin Oncol       Date:  2019-07-09       Impact factor: 3.402

3.  Visual Evaluation of Ultrafast MRI in the Assessment of Residual Breast Cancer after Neoadjuvant Systemic Therapy: A Preliminary Study Association with Subtype.

Authors:  Maya Honda; Masako Kataoka; Mami Iima; Rie Ota; Akane Ohashi; Ayami Ohno Kishimoto; Kanae Kawai Miyake; Marcel Dominik Nickel; Yosuke Yamada; Masakazu Toi; Yuji Nakamoto
Journal:  Tomography       Date:  2022-06-10

4.  Patterns of Regression in Breast Cancer after Primary Systemic Treatment.

Authors:  Tamás Zombori; Gábor Cserni
Journal:  Pathol Oncol Res       Date:  2018-11-27       Impact factor: 3.201

5.  Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant Chemotherapy.

Authors:  Jia Wu; Guohong Cao; Xiaoli Sun; Juheon Lee; Daniel L Rubin; Sandy Napel; Allison W Kurian; Bruce L Daniel; Ruijiang Li
Journal:  Radiology       Date:  2018-05-01       Impact factor: 11.105

Review 6.  Monitoring for Response to Antineoplastic Drugs: The Potential of a Metabolomic Approach.

Authors:  Jodi Rattner; Oliver F Bathe
Journal:  Metabolites       Date:  2017-11-16

7.  Elucidation of inhibitory effects on metastatic sentinel lymph nodes of breast cancer during One-Step Nucleic Acid Amplification.

Authors:  Yoshiya Horimoto; Masahiko Tanabe; Saiko Kazuno; Yoshiki Miura; Kaoru Mogushi; Hiroshi Sonoue; Atsushi Arakawa; Kazunori Kajino; Toshiyuki Kobayashi; Mitsue Saito
Journal:  Sci Rep       Date:  2018-05-15       Impact factor: 4.379

Review 8.  Evaluation of the Efficacy of Neoadjuvant Chemotherapy for Breast Cancer.

Authors:  Huan Wang; Xiaoyun Mao
Journal:  Drug Des Devel Ther       Date:  2020-06-18       Impact factor: 4.162

9.  Prediction of Tumor Shrinkage Pattern to Neoadjuvant Chemotherapy Using a Multiparametric MRI-Based Machine Learning Model in Patients With Breast Cancer.

Authors:  Yuhong Huang; Wenben Chen; Xiaoling Zhang; Shaofu He; Nan Shao; Huijuan Shi; Zhenzhe Lin; Xueting Wu; Tongkeng Li; Haotian Lin; Ying Lin
Journal:  Front Bioeng Biotechnol       Date:  2021-07-06

10.  Prognostic value of breast MRI characteristics before and during neoadjuvant endocrine therapy in patients with ER+/HER2- breast cancer.

Authors:  Max Aa Ragusi; Gonneke Ao Winter-Warnars; Jelle Wesseling; Sabine C Linn; Regina G Beets-Tan; Bas Hm van der Velden; Sjoerd G Elias; Kenneth Ga Gilhuijs; Claudette E Loo
Journal:  Br J Radiol       Date:  2021-07-01       Impact factor: 3.039

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