Literature DB >> 26019189

Recommendations for standardized pathological characterization of residual disease for neoadjuvant clinical trials of breast cancer by the BIG-NABCG collaboration.

V Bossuyt1, E Provenzano2, W F Symmans3, J C Boughey4, C Coles5, G Curigliano6, J M Dixon7, L J Esserman8, G Fastner9, T Kuehn10, F Peintinger11, G von Minckwitz12, J White13, W Yang14, S Badve15, C Denkert16, G MacGrogan17, F Penault-Llorca18, G Viale19, D Cameron20.   

Abstract

Neoadjuvant systemic therapy (NAST) provides the unique opportunity to assess response to treatment after months rather than years of follow-up. However, significant variability exists in methods of pathologic assessment of response to NAST, and thus its interpretation for subsequent clinical decisions. Our international multidisciplinary working group was convened by the Breast International Group-North American Breast Cancer Group (BIG-NABCG) collaboration and tasked to recommend practical methods for standardized evaluation of the post-NAST surgical breast cancer specimen for clinical trials that promote accurate and reliable designation of pathologic complete response (pCR) and meaningful characterization of residual disease. Recommendations include multidisciplinary communication; clinical marking of the tumor site (clips); and radiologic, photographic, or pictorial imaging of the sliced specimen, to map the tissue sections and reconcile macroscopic and microscopic findings. The information required to define pCR (ypT0/is ypN0 or ypT0 yp N0), residual ypT and ypN stage using the current AJCC/UICC system, and the Residual Cancer Burden system were recommended for quantification of residual disease in clinical trials.
© The Author 2015. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  breast cancer; neoadjuvant systemic therapy; pathologic assessment; pathologic complete response; residual disease; response evaluation

Mesh:

Year:  2015        PMID: 26019189      PMCID: PMC4804123          DOI: 10.1093/annonc/mdv161

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  52 in total

1.  Residual proliferative cancer burden to predict long-term outcome following neoadjuvant chemotherapy.

Authors:  A Sheri; I E Smith; S R Johnston; R A'Hern; A Nerurkar; R L Jones; M Hills; S Detre; S E Pinder; W F Symmans; M Dowsett
Journal:  Ann Oncol       Date:  2014-10-30       Impact factor: 32.976

2.  Randomized parallel study of doxorubicin plus paclitaxel and doxorubicin plus cyclophosphamide as neoadjuvant treatment of patients with breast cancer.

Authors:  Véronique Diéras; Pierre Fumoleau; Gilles Romieu; Michèle Tubiana-Hulin; Moïse Namer; Louis Mauriac; Jean-Paul Guastalla; Eric Pujade-Lauraine; Pierre Kerbrat; Philippe Maillart; Frédérique Pénault-Llorca; Marc Buyse; Pierre Pouillart
Journal:  J Clin Oncol       Date:  2004-12-15       Impact factor: 44.544

3.  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.

Authors:  Roman Rouzier; Jean-Marc Extra; Jerzy Klijanienko; Marie-Christine Falcou; Bernard Asselain; Anne Vincent-Salomon; Philippe Vielh; Edwige Bourstyn
Journal:  J Clin Oncol       Date:  2002-03-01       Impact factor: 44.544

4.  American Joint Committee on Cancer tumor-node-metastasis stage after neoadjuvant chemotherapy and breast cancer outcome.

Authors:  Lisa A Carey; Richard Metzger; E Claire Dees; Frances Collichio; Carolyn I Sartor; David W Ollila; Nancy Klauber-DeMore; Jan Halle; Lynda Sawyer; Dominic T Moore; Mark L Graham
Journal:  J Natl Cancer Inst       Date:  2005-08-03       Impact factor: 13.506

5.  Loss of HER2 amplification following trastuzumab-based neoadjuvant systemic therapy and survival outcomes.

Authors:  Elizabeth A Mittendorf; Yun Wu; Maurizio Scaltriti; Funda Meric-Bernstam; Kelly K Hunt; Shaheenah Dawood; Francisco J Esteva; Aman U Buzdar; Huiqin Chen; Sameena Eksambi; Gabriel N Hortobagyi; Jose Baselga; Ana M Gonzalez-Angulo
Journal:  Clin Cancer Res       Date:  2009-11-17       Impact factor: 12.531

6.  Measurement of residual breast cancer burden to predict survival after neoadjuvant chemotherapy.

Authors:  W Fraser Symmans; Florentia Peintinger; Christos Hatzis; Radhika Rajan; Henry Kuerer; Vicente Valero; Lina Assad; Anna Poniecka; Bryan Hennessy; Marjorie Green; Aman U Buzdar; S Eva Singletary; Gabriel N Hortobagyi; Lajos Pusztai
Journal:  J Clin Oncol       Date:  2007-09-04       Impact factor: 44.544

7.  Sentinel lymph node surgery after neoadjuvant chemotherapy in patients with node-positive breast cancer: the ACOSOG Z1071 (Alliance) clinical trial.

Authors:  Judy C Boughey; Vera J Suman; Elizabeth A Mittendorf; Gretchen M Ahrendt; Lee G Wilke; Bret Taback; A Marilyn Leitch; Henry M Kuerer; Monet Bowling; Teresa S Flippo-Morton; David R Byrd; David W Ollila; Thomas B Julian; Sarah A McLaughlin; Linda McCall; W Fraser Symmans; Huong T Le-Petross; Bruce G Haffty; Thomas A Buchholz; Heidi Nelson; Kelly K Hunt
Journal:  JAMA       Date:  2013-10-09       Impact factor: 56.272

8.  Ki67 measured after neoadjuvant chemotherapy for primary breast cancer.

Authors:  Gunter von Minckwitz; Wolfgang D Schmitt; Sibylle Loibl; Berit M Müller; Jens U Blohmer; Bruno V Sinn; Holger Eidtmann; Wolfgang Eiermann; Bernd Gerber; Hans Tesch; Jörn Hilfrich; Jens Huober; Tanja Fehm; Jana Barinoff; Thomas Rüdiger; Erhard Erbstoesser; Peter A Fasching; Thomas Karn; Volkmar Müller; Christian Jackisch; Carsten Denkert
Journal:  Clin Cancer Res       Date:  2013-06-27       Impact factor: 12.531

9.  Axillary lymph node scarring and the association with tumour response following neoadjuvant chemoendocrine therapy for breast cancer.

Authors:  J Donnelly; D M Parham; T Hickish; H Y Chan; A I Skene
Journal:  Breast       Date:  2001-02       Impact factor: 4.380

10.  Clinically meaningful tumor reduction rates vary by prechemotherapy MRI phenotype and tumor subtype in the I-SPY 1 TRIAL (CALGB 150007/150012; ACRIN 6657).

Authors:  Rita A Mukhtar; Christina Yau; Mark Rosen; Vickram J Tandon; Nola Hylton; Laura J Esserman
Journal:  Ann Surg Oncol       Date:  2013-06-19       Impact factor: 5.344

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  57 in total

1.  First Reported Use of Radiofrequency Identification (RFID) Technique for Targeted Excision of Suspicious Axillary Lymph Nodes in Early Stage Breast Cancer - Evaluation of Feasibility and Review of Current Recommendations.

Authors:  Wolfram Malter; Christian Eichler; Bettina Hanstein; Peter Mallmann; Johannes Holtschmidt
Journal:  In Vivo       Date:  2020 May-Jun       Impact factor: 2.155

2.  Clinicopathological predictors of long-term benefit in breast cancer treated with neoadjuvant chemotherapy.

Authors:  Marco Galvez; Carlos A Castaneda; Joselyn Sanchez; Miluska Castillo; Lia Pamela Rebaza; Gabriela Calderon; Miguel De La Cruz; Jose Manuel Cotrina; Julio Abugattas; Jorge Dunstan; Henry Guerra; Omar Mejia; Henry L Gomez
Journal:  World J Clin Oncol       Date:  2018-04-10

Review 3.  The accuracy of 18F-FDG PET/CT in predicting the pathological response to neoadjuvant chemotherapy in patients with breast cancer: a meta-analysis and systematic review.

Authors:  Fangfang Tian; Guohua Shen; Yunfu Deng; Wei Diao; Zhiyun Jia
Journal:  Eur Radiol       Date:  2017-05-05       Impact factor: 5.315

4.  Performance of Mid-Treatment Breast Ultrasound and Axillary Ultrasound in Predicting Response to Neoadjuvant Chemotherapy by Breast Cancer Subtype.

Authors:  Rosalind P Candelaria; Roland L Bassett; William Fraser Symmans; Maheshwari Ramineni; Stacy L Moulder; Henry M Kuerer; Alastair M Thompson; Wei Tse Yang
Journal:  Oncologist       Date:  2017-03-17

5.  Pathological assessment of resection specimens after neoadjuvant therapy for metastatic melanoma.

Authors:  M T Tetzlaff; J L Messina; J E Stein; X Xu; R N Amaria; C U Blank; B A van de Wiel; P M Ferguson; R V Rawson; M I Ross; A J Spillane; J E Gershenwald; R P M Saw; A C J van Akkooi; W J van Houdt; T C Mitchell; A M Menzies; G V Long; J A Wargo; M A Davies; V G Prieto; J M Taube; R A Scolyer
Journal:  Ann Oncol       Date:  2018-08-01       Impact factor: 32.976

Review 6.  [Histological grading of breast cancer].

Authors:  M Christgen; F Länger; H Kreipe
Journal:  Pathologe       Date:  2016-07       Impact factor: 1.011

7.  Concerning Dediu M, Zielinski A: A Proposal to Redefine Pathologic Complete Remission as Endpoint following Neoadjuvant Chemotherapy in Early Breast Cancer. Breast Care 2019; Doi 10.1159/000500620.

Authors:  Michael Untch; Sibylle Loibl; Peter A Fasching
Journal:  Breast Care (Basel)       Date:  2019-06-04       Impact factor: 2.860

8.  A Randomized Phase II Neoadjuvant Study of Cisplatin, Paclitaxel With or Without Everolimus in Patients with Stage II/III Triple-Negative Breast Cancer (TNBC): Responses and Long-term Outcome Correlated with Increased Frequency of DNA Damage Response Gene Mutations, TNBC Subtype, AR Status, and Ki67.

Authors:  Bojana Jovanović; Ingrid A Mayer; Erica L Mayer; Vandana G Abramson; Aditya Bardia; Melinda E Sanders; M Gabriela Kuba; Monica V Estrada; J Scott Beeler; Timothy M Shaver; Kimberly C Johnson; Violeta Sanchez; Jennifer M Rosenbluth; Patrick M Dillon; Andres Forero-Torres; Jenny C Chang; Ingrid M Meszoely; Ana M Grau; Brian D Lehmann; Yu Shyr; Quanhu Sheng; Sheau-Chiann Chen; Carlos L Arteaga; Jennifer A Pietenpol
Journal:  Clin Cancer Res       Date:  2017-03-07       Impact factor: 12.531

9.  Long-Term Prognostic Risk After Neoadjuvant Chemotherapy Associated With Residual Cancer Burden and Breast Cancer Subtype.

Authors:  W Fraser Symmans; Caimiao Wei; Rebekah Gould; Xian Yu; Ya Zhang; Mei Liu; Andrew Walls; Alex Bousamra; Maheshwari Ramineni; Bruno Sinn; Kelly Hunt; Thomas A Buchholz; Vicente Valero; Aman U Buzdar; Wei Yang; Abenaa M Brewster; Stacy Moulder; Lajos Pusztai; Christos Hatzis; Gabriel N Hortobagyi
Journal:  J Clin Oncol       Date:  2017-01-30       Impact factor: 44.544

10.  Prognostic and predictive parameters in breast pathology: a pathologist's primer.

Authors:  Kimberly H Allison
Journal:  Mod Pathol       Date:  2020-11-05       Impact factor: 7.842

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