PURPOSE: We hypothesize that a gene expression profile characteristic for inflammatory breast cancer (IBC), an aggressive form of breast cancer associated with rapid cancer dissemination and poor survival, might be related to tumor aggressiveness in non-IBC (nIBC). EXPERIMENTAL DESIGN: RNA from 17 IBC samples and 40 nIBC samples was hybridized onto Affymetrix chips. A gene signature predictive of IBC was identified and applied onto 1,157 nIBC samples with survival data of 881 nIBC samples. Samples were classified as IBC-like or nIBC-like. The IBC signature classification was compared with the classifications according to other prognostically relevant gene signatures and clinicopathologic variables. In addition, relapse-free survival (RFS) was compared by the Kaplan-Meyer method. RESULTS: Classification according to the IBC signature is significantly (P < 0.05) associated with the cell-of-origin subtypes, the wound healing response, the invasive gene signature, the genomic grade index, the fibroblastic neoplasm signature, and the 70-gene prognostic signature. Significant associations (P < 0.01) were found between the IBC signature and tumor grade, estrogen receptor status, ErbB2 status, and patient age at diagnosis. Patients with an IBC-like phenotype show a significantly shorter RFS interval (P < 0.05). Oncomine analysis identified cell motility as an important concept linked with the IBC signature. CONCLUSIONS: We show that nIBC carcinomas having an IBC-like phenotype have a reduced RFS interval. This suggests that IBC and nIBC show comparable phenotypic traits, for example augmented cell motility, with respect to aggressive tumor cell behavior. This observation lends credit to the use of IBC to study aggressive tumor cell behavior.
PURPOSE: We hypothesize that a gene expression profile characteristic for inflammatory breast cancer (IBC), an aggressive form of breast cancer associated with rapid cancer dissemination and poor survival, might be related to tumor aggressiveness in non-IBC (nIBC). EXPERIMENTAL DESIGN: RNA from 17 IBC samples and 40 nIBC samples was hybridized onto Affymetrix chips. A gene signature predictive of IBC was identified and applied onto 1,157 nIBC samples with survival data of 881 nIBC samples. Samples were classified as IBC-like or nIBC-like. The IBC signature classification was compared with the classifications according to other prognostically relevant gene signatures and clinicopathologic variables. In addition, relapse-free survival (RFS) was compared by the Kaplan-Meyer method. RESULTS: Classification according to the IBC signature is significantly (P < 0.05) associated with the cell-of-origin subtypes, the wound healing response, the invasive gene signature, the genomic grade index, the fibroblastic neoplasm signature, and the 70-gene prognostic signature. Significant associations (P < 0.01) were found between the IBC signature and tumor grade, estrogen receptor status, ErbB2 status, and patient age at diagnosis. Patients with an IBC-like phenotype show a significantly shorter RFS interval (P < 0.05). Oncomine analysis identified cell motility as an important concept linked with the IBC signature. CONCLUSIONS: We show that nIBC carcinomas having an IBC-like phenotype have a reduced RFS interval. This suggests that IBC and nIBC show comparable phenotypic traits, for example augmented cell motility, with respect to aggressive tumor cell behavior. This observation lends credit to the use of IBC to study aggressive tumor cell behavior.
Authors: Maurice P H M Jansen; Leen Sas; Anieta M Sieuwerts; Caroline Van Cauwenberghe; Diana Ramirez-Ardila; Maxime Look; Kirsten Ruigrok-Ritstier; Pascal Finetti; François Bertucci; Mieke M Timmermans; Carolien H M van Deurzen; John W M Martens; Iris Simon; Paul Roepman; Sabine C Linn; Peter van Dam; Marleen Kok; Filip Lardon; Peter B Vermeulen; John A Foekens; Luc Dirix; Els M J J Berns; Steven Van Laere Journal: Mol Oncol Date: 2015-03-04 Impact factor: 6.603
Authors: Yasemin Oztemur; Tufan Bekmez; Alp Aydos; Isik G Yulug; Betul Bozkurt; Bala Gur Dedeoglu Journal: PLoS One Date: 2015-05-15 Impact factor: 3.240
Authors: Jacob J Kennedy; Susan E Abbatiello; Kyunggon Kim; Ping Yan; Jeffrey R Whiteaker; Chenwei Lin; Jun Seok Kim; Yuzheng Zhang; Xianlong Wang; Richard G Ivey; Lei Zhao; Hophil Min; Youngju Lee; Myeong-Hee Yu; Eun Gyeong Yang; Cheolju Lee; Pei Wang; Henry Rodriguez; Youngsoo Kim; Steven A Carr; Amanda G Paulovich Journal: Nat Methods Date: 2013-12-08 Impact factor: 28.547
Authors: Diana V Maltseva; Vladimir V Galatenko; Timur R Samatov; Svetlana O Zhikrivetskaya; Nadezhda A Khaustova; Ilya N Nechaev; Maxim U Shkurnikov; Alexey E Lebedev; Irina A Mityakina; Andrey D Kaprin; Udo Schumacher; Alexander G Tonevitsky Journal: BMC Res Notes Date: 2014-12-04
Authors: Hiroko Masuda; Keith A Baggerly; Ying Wang; Takayuki Iwamoto; Takae Brewer; Lajos Pusztai; Kazuharu Kai; Takahiro Kogawa; Pascal Finetti; Daniel Birnbaum; Luc Dirix; Wendy A Woodward; James M Reuben; Savitri Krishnamurthy; W Symmans; Steven J Van Laere; François Bertucci; Gabriel N Hortobagyi; Naoto T Ueno Journal: Breast Cancer Res Date: 2013-11-25 Impact factor: 6.466