Literature DB >> 17239263

Lack of uniform diagnostic criteria for inflammatory breast cancer limits interpretation of treatment outcomes: a systematic review.

Theodore Kim1, Joseph Lau, John Erban.   

Abstract

PURPOSE: Inflammatory breast cancer (IBC) is the most aggressive type of breast cancer. No randomized controlled trial or systematic review with an IBC-only cohort that evaluates interventions has been published. We conducted a systematic review of the literature to characterize the reporting of clinical criteria and response to neoadjuvant therapy for IBC. PATIENTS AND METHODS: We searched MEDLINE and other sources for the following: previously untreated patients with IBC without metastasis in cohort studies; utilized chemotherapy; and reported clinical outcomes. The following 4 groups were analyzed: no anthracycline induction, low-dose anthracycline induction, moderate-dose anthracycline induction, and high-dose chemotherapy requiring stem cell support. Weighted averages for the overall response rates were calculated using a random effects model.
RESULTS: Twenty-seven studies met all criteria, totaling 1232 patients. Clinical description of IBC eligibility criteria and reported response assessments varied significantly among studies. The response rates and 3- and 5-year overall survival for all 27 studies ranged from 14% to 100%, 22% to 84%, and 32% to 75%, respectively. Pathologic complete response rates after no anthracycline induction, low-dose anthracycline induction, moderate-dose anthracycline induction, and neoadjuvant high-dose chemotherapy subgroups were 4% (95% confidence interval [CI], 1%-18%), 11% (95% CI, 7%-17%), 14% (95% CI, 8%-22%), and 32% (95% CI, 24%-41%), respectively.
CONCLUSION: The criteria and reporting of IBC and treatment response was notably variable, with significant potential for subject heterogeneity. Pathologic complete response rates appear to be related to intensity of neoadjuvant treatment; however, this analysis is not based on randomized data. Future clinical trials should define and report the criteria for IBC diagnosis and response assessment to enhance interstudy comparisons.

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Year:  2006        PMID: 17239263     DOI: 10.3816/CBC.2006.n.055

Source DB:  PubMed          Journal:  Clin Breast Cancer        ISSN: 1526-8209            Impact factor:   3.225


  11 in total

Review 1.  Inflammatory breast cancer: a proposed conceptual shift in the UICC-AJCC TNM staging system.

Authors:  Tamer M Fouad; Angelica M Gutierrez Barrera; James M Reuben; Anthony Lucci; Wendy A Woodward; Michael C Stauder; Bora Lim; Sarah M DeSnyder; Banu Arun; Babiera Gildy; Vicente Valero; Gabriel N Hortobagyi; Naoto T Ueno
Journal:  Lancet Oncol       Date:  2017-04       Impact factor: 41.316

2.  International expert panel on inflammatory breast cancer: consensus statement for standardized diagnosis and treatment.

Authors:  S Dawood; S D Merajver; P Viens; P B Vermeulen; S M Swain; T A Buchholz; L Y Dirix; P H Levine; A Lucci; S Krishnamurthy; F M Robertson; W A Woodward; W T Yang; N T Ueno; M Cristofanilli
Journal:  Ann Oncol       Date:  2010-07-05       Impact factor: 32.976

3.  Evaluation of lymphangiogenic factors, vascular endothelial growth factor D and E-cadherin in distinguishing inflammatory from locally advanced breast cancer.

Authors:  Paul H Levine; Chia C Portera; Heather J Hoffman; Sherry X Yang; Mikiko Takikita; Quyen N Duong; Stephen M Hewitt; Sandra M Swain
Journal:  Clin Breast Cancer       Date:  2012-06-12       Impact factor: 3.225

4.  A comparison of criteria to identify inflammatory breast cancer cases from medical records and the Surveillance, Epidemiology and End Results data base, 2007-2009.

Authors:  Kelly A Hirko; Amr S Soliman; Mousumi Banerjee; Julie Ruterbusch; Joe B Harford; Sofia D Merajver; Kendra Schwartz
Journal:  Breast J       Date:  2013-12-26       Impact factor: 2.431

5.  Reliability of medical records in diagnosing inflammatory breast cancer in Egypt.

Authors:  Lynne Le; Catherine Schairer; Ahmed Hablas; Jane Meza; Shinobu Watanabe-Galloway; Mohamed Ramadan; Sofia D Merajver; Ibrahim A Seifeldin; Amr S Soliman
Journal:  BMC Res Notes       Date:  2017-03-16

Review 6.  Developmental therapeutics for inflammatory breast cancer: Biology and translational directions.

Authors:  Ricardo Costa; Cesar A Santa-Maria; Giovanna Rossi; Benedito A Carneiro; Young Kwang Chae; William J Gradishar; Francis J Giles; Massimo Cristofanilli
Journal:  Oncotarget       Date:  2017-02-14

7.  What is inflammatory breast cancer? Revisiting the case definition.

Authors:  Paul H Levine; Ladan Zolfaghari; Heather Young; Muhannad Hafi; Timothy Cannon; Chitra Ganesan; Carmela Veneroso; Rachel Brem; Mark Sherman
Journal:  Cancers (Basel)       Date:  2010-03-03       Impact factor: 6.639

8.  Distinct epidemiological profiles associated with inflammatory breast cancer (IBC): A comprehensive analysis of the IBC registry at The University of Texas MD Anderson Cancer Center.

Authors:  Tamer M Fouad; Naoto T Ueno; Robert K Yu; Joe E Ensor; Ricardo H Alvarez; Savitri Krishnamurthy; Anthony Lucci; James M Reuben; Wei Yang; Jie S Willey; Vicente Valero; Melissa L Bondy; Massimo Cristofinalli; Sanjay Shete; Wendy A Woodward; Randa El-Zein
Journal:  PLoS One       Date:  2018-09-24       Impact factor: 3.240

Review 9.  Naturally-Occurring Canine Mammary Tumors as a Translational Model for Human Breast Cancer.

Authors:  Mark Gray; James Meehan; Carlos Martínez-Pérez; Charlene Kay; Arran K Turnbull; Linda R Morrison; Lisa Y Pang; David Argyle
Journal:  Front Oncol       Date:  2020-04-28       Impact factor: 6.244

10.  Deep learning can be used to train naïve, nonprofessional observers to detect diagnostic visual patterns of certain cancers in mammograms: a proof-of-principle study.

Authors:  Jay Hegdé
Journal:  J Med Imaging (Bellingham)       Date:  2020-02-04
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