Literature DB >> 16948128

Development and validation of nomograms for predicting residual tumor size and the probability of successful conservative surgery with neoadjuvant chemotherapy for breast cancer.

Roman Rouzier1, Lajos Pusztai, Jean-Remi Garbay, Suzette Delaloge, Kelly K Hunt, Gabriel N Hortobagyi, Donald Berry, Henry M Kuerer.   

Abstract

BACKGROUND: Neoadjuvant chemotherapy (NACT) increases the likelihood that breast conservation therapy for breast cancer patients will be successful. There is no available nomogram to predict breast conservation after NACT. The aim of the current study was to develop and validate nomograms for predicting residual tumor size and probability of a patient becoming eligible for breast conservation surgery after NACT.
METHODS: A total of 1147 patients treated at M. D. Anderson Cancer Center (Houston, TX) and the Institut Gustave Roussy (Villejuif, France) who received anthracycline with or without paclitaxel NACT were included in the analysis. Clinicopathologic data from 1 series were used to construct logistic regression models for breast conservation and residual tumor size < 3 cm after NACT and were validated on an independent series.
RESULTS: The discrimination and the calibration of the nomogram for predicting the probability of residual tumor size < 3 cm after anthracycline-based NACT were good when applied to the validation set (concordance index = 0.79; U-index = 10(-3)). The discrimination of the nomogram for predicting eligibility for breast conservation therapy was also good (concordance index = 0.67). However, the calibration had to be adjusted to take into account global rates of breast conservation surgery. A second nomogram adapted to preoperative chemotherapy regimens containing paclitaxel was established. The concordance index of the nomogram for predicting breast conservation was 0.71 (P < 10(-6)) for the independent dataset and the calibration was also good. The confrontation of both nomograms showed that predictions were highly correlated (r = 0.97), suggesting that eligibility for breast conservation therapy was independent of the preoperative chemotherapy regimen used.
CONCLUSIONS: Nomograms were developed for breast cancer patients who received NACT to predict residual tumor size and whether the patient would thus become eligible for breast conservation therapy. These tools may be useful when counseling patients about treatment options, and a web-based interface is now available to help guide patients and physicians in these decisions. (c) 2006 American Cancer Society.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16948128     DOI: 10.1002/cncr.22177

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  12 in total

1.  A Novel System for Estimating Residual Disease and Pathologic Response to Neoadjuvant Treatment of Prostate Cancer.

Authors:  Claire Murphy; Lawrence True; Funda Vakar-Lopez; Jing Xia; Roman Gulati; Bruce Montgomery; Maria Tretiakova
Journal:  Prostate       Date:  2016-06-08       Impact factor: 4.104

2.  Post-operative nomogram for predicting freedom from recurrence after surgery in localised breast cancer receiving adjuvant hormone therapy.

Authors:  Chafika Mazouni; Frédéric Fina; Sylvie Romain; Pascal Bonnier; L'houcine Ouafik; Pierre-Marie Martin
Journal:  J Cancer Res Clin Oncol       Date:  2014-11-30       Impact factor: 4.553

3.  Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy.

Authors:  Subramani Mani; Yukun Chen; Xia Li; Lori Arlinghaus; A Bapsi Chakravarthy; Vandana Abramson; Sandeep R Bhave; Mia A Levy; Hua Xu; Thomas E Yankeelov
Journal:  J Am Med Inform Assoc       Date:  2013-04-24       Impact factor: 4.497

Review 4.  Local Recurrence after Breast-Conserving Surgery and Mastectomy Following Neoadjuvant Chemotherapy for Locally Advanced Breast Cancer - a Meta-Analysis.

Authors:  Xiaodong Zhou; Yujie Li
Journal:  Breast Care (Basel)       Date:  2016-10-14       Impact factor: 2.860

5.  Evaluation of Neoadjuvant Chemotherapy Response with Dynamic Contrast Enhanced Breast Magnetic Resonance Imaging in Locally Advanced Invasive Breast Cancer.

Authors:  Naciye Sinem Gezer; Özge Orbay; Pınar Balcı; Merih Guray Durak; Binnaz Demirkan; Serdar Saydam
Journal:  J Breast Health       Date:  2014-04-01

6.  Nomogram predicting clinical outcomes in breast cancer patients treated with neoadjuvant chemotherapy.

Authors:  Bhumsuk Keam; Seock-Ah Im; Sohee Park; Byung-Ho Nam; Sae-Won Han; Do-Youn Oh; Jee Hyun Kim; Se-Hoon Lee; Wonshik Han; Dong-Wan Kim; Tae-You Kim; In Ae Park; Dong-Young Noh; Dae Seog Heo; Yung-Jue Bang
Journal:  J Cancer Res Clin Oncol       Date:  2011-06-30       Impact factor: 4.553

7.  Oncological safety of breast-conserving surgery after primary systemic chemotherapy in cT3-4 breast cancer patients.

Authors:  Kenjiro Jimbo; Takayuki Kinoshita; Sota Asaga; Takashi Hojo
Journal:  Surg Today       Date:  2014-10-19       Impact factor: 2.549

8.  Predictors of complete pathological response after neoadjuvant systemic therapy for breast cancer.

Authors:  Marcus C Tan; Fatema Al Mushawah; Feng Gao; Rebecca L Aft; William E Gillanders; Timothy J Eberlein; Julie A Margenthaler
Journal:  Am J Surg       Date:  2009-10       Impact factor: 2.565

9.  Prediction of axillary lymph node metastasis in primary breast cancer patients using a decision tree-based model.

Authors:  Masahiro Takada; Masahiro Sugimoto; Yasuhiro Naito; Hyeong-Gon Moon; Wonshik Han; Dong-Young Noh; Masahide Kondo; Katsumasa Kuroi; Hironobu Sasano; Takashi Inamoto; Masaru Tomita; Masakazu Toi
Journal:  BMC Med Inform Decis Mak       Date:  2012-06-13       Impact factor: 2.796

10.  Platinum-based chemotherapy in triple-negative breast cancer: A meta-analysis.

Authors:  Miao Liu; Qin-Guo Mo; Chang-Yuan Wei; Qing-Hong Qin; Zhen Huang; Jie He
Journal:  Oncol Lett       Date:  2012-12-28       Impact factor: 2.967

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.