Literature DB >> 33219297

Clinico-pathologic predictors of patterns of residual disease following neoadjuvant chemotherapy for breast cancer.

Tari A King1,2, Stuart J Schnitt3,4, Ricardo G Pastorello1,2, Alison Laws1,2, Samantha Grossmith1, Claire King1, Monica McGrath1, Elizabeth A Mittendorf1,2.   

Abstract

Among breast cancer patients treated with neoadjuvant chemotherapy (NAC) who do not experience a pathologic complete response (pCR), the pattern of residual disease in the breast varies. Pre-treatment clinico-pathologic features that predict the pattern of residual tumor are not well established. To investigate this issue, we performed a detailed review of histologic sections of the post-treatment surgical specimens for 665 patients with stage I-III breast cancer treated with NAC followed by surgery from 2004 to 2014 and for whom slides of the post-NAC surgical specimen were available for review. This included 242 (36.4%) patients with hormone receptor (HR)+/HER2- cancers, 216 (32.5%) with HER2+ tumors, and 207 (31.1%) with triple negative breast cancer (TNBC). Slide review was blinded to pre-treatment clinico-pathologic features. pCR was achieved in 7.9%, 37.0%, and 37.7%, of HR+/HER2- cancers, HER2+ cancers, and TNBC respectively (p < 0.001). Among 389 patients with residual invasive cancer in whom the pattern of residual disease could be assessed, 287 (73.8%) had a scattered pattern and 102 (26.2%) had a circumscribed pattern. In both univariate and multivariate analyses, there was a significant association between tumor subtype and pattern of response. Among patients with HR+/HER2- tumors, 89.4% had a scattered pattern and only 10.6% had a circumscribed pattern. In contrast, among those with TNBC 52.8% had a circumscribed pattern and 47.2% had a scattered pattern (p < 0.001). In addition to subtype, histologic grade and tumor size at presentation were also significantly related to the pattern of residual disease in multivariate analysis, with lower grade and larger size each associated with a scattered response pattern (p = 0.002 and p = 0.01, respectively). A better understanding of the relationship between pre-treatment clinico-pathologic features of the tumor and pattern of residual disease may be of value for helping to guide post-chemotherapy surgical management.

Entities:  

Mesh:

Year:  2020        PMID: 33219297     DOI: 10.1038/s41379-020-00714-5

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  1 in total

Review 1.  Neoadjuvant Therapy for Breast Cancer as a Model for Translational Research.

Authors:  Cigdem Selli; Andrew H Sims
Journal:  Breast Cancer (Auckl)       Date:  2019-02-19
  1 in total
  3 in total

1.  Surgical margin status and survival outcomes of breast cancer patients treated with breast-conserving surgery and whole-breast irradiation after neoadjuvant chemotherapy.

Authors:  Jong-Ho Cheun; Young Joo Lee; Jun-Hee Lee; Yungil Shin; Jung Whan Chun; Soo Yeon Baek; Hong-Kyu Kim; Han-Byoel Lee; Jonghan Yu; Byung Joo Chae; Wonshik Han; Jeong Eon Lee
Journal:  Breast Cancer Res Treat       Date:  2022-06-28       Impact factor: 4.624

2.  Reconstructing virtual large slides can improve the accuracy and consistency of tumor bed evaluation for breast cancer after neoadjuvant therapy.

Authors:  Dandan Han; Jun Liao; Meng Zhang; Chenchen Qin; Mengxue Han; Chun Wu; Jinze Li; Jianhua Yao; Yueping Liu
Journal:  Diagn Pathol       Date:  2022-04-28       Impact factor: 3.196

3.  MRI to assess response after neoadjuvant chemotherapy in breast cancer subtypes: a systematic review and meta-analysis.

Authors:  L M Janssen; B M den Dekker; K G A Gilhuijs; P J van Diest; E van der Wall; S G Elias
Journal:  NPJ Breast Cancer       Date:  2022-09-19
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.