Open AccessJournal Article
Prognostic factors in breast cancer
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TLDR
The author gives a short review of the most important prognostic factors in breast cancer, with emphasis was laid on steroid receptors, c-erpB-2, p53 and bcl-2 alterations.Abstract:
Prognostic factors are clinical and pathological features that give information in estimating the likely clinical outcome of an individual suffering from cancer. The author gives a short review of the most important prognostic factors in breast cancer. 376 breast cancer cases of a ten year interval in a county hospital are summarized. Traditional clinico-pathological parameters i.e. TNM and steroid receptor status are discussed. The more common karyotipic, oncogene and tumor suppressor gene alterations are outlined in the study. Methods for their detection are presented and their value in prognostication is reviewed. Emphasis was laid on steroid receptors, c-erpB-2, p53 and bcl-2 alterations. Genes responsible for heritable forms of increased breast cancer risk are briefly reviewed.read more
Citations
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Gene Expression Profiling in Breast Cancer: Understanding the Molecular Basis of Histologic Grade To Improve Prognosis
Christos Sotiriou,Pratyaksha Wirapati,Sherene Loi,Adrian L. Harris,Steve Fox,Johanna Smeds,Hans Nordgren,Pierre Farmer,Viviane Praz,Benjamin Haibe-Kains,Christine Desmedt,Denis Larsimont,Fatima Cardoso,Hans Peterse,Dimitry S.A. Nuyten,Marc Buyse,Marc J. van de Vijver,Jonas Bergh,Martine Piccart,Mauro Delorenzi +19 more
TL;DR: Gene expression grade index appeared to reclassify patients with histologic grade 2 tumors into two groups with high versus low risks of recurrence, which may improve the accuracy of tumor grading and thus its prognostic value.
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Stromal gene expression predicts clinical outcome in breast cancer
Greg Finak,Nicholas Bertos,Francois Pepin,Francois Pepin,Svetlana Sadekova,Margarita Souleimanova,Hong Zhao,Haiying Chen,Gulbeyaz Omeroglu,Sarkis Meterissian,Atilla Omeroglu,Michael Hallett,Morag Park,Morag Park +13 more
TL;DR: Genes represented in the new stroma-derived prognostic predictor (SDPP) reveal the strong prognostic capacity of differential immune responses as well as angiogenic and hypoxic responses, highlighting the importance of stromal biology in tumor progression.
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IARC Handbooks of Cancer Prevention
TL;DR: The International Agency for Research on Cancer conducts a programme of research concentrating particularly on the epidemiology of cancer and the study of potential carcinogens in the human environment.
Breast cancer prognostic classification in the molecular era: the role of histological grade
Emad A. Rakha,Jorge S. Reis-Filho,Frederick L. Baehner,David J. Dabbs,Thomas Decker,Vincenzo Eusebi,Stephen B. Fox,Shu Ichihara,Jocelyne Jacquemier,Sunil R. Lakhani,José Palacios,Andrea L. Richardson,Stuart J. Schnitt,Fernando Schmitt,Puay Hoon Tan,Gary M.K. Tse,Sunil V. Badve,Ian O. Ellis +17 more
TL;DR: An analysis of the validity of Histological grade as a prognostic factor and a consensus view on the significance of histological grade and its role in breast cancer classification and staging systems in this era of emerging clinical use of molecular classifiers are presented.
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Prognostic and predictive factors in early-stage breast cancer.
M. Cianfrocca,Lori J. Goldstein +1 more
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References
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Journal ArticleDOI
Gene Expression Profiling in Breast Cancer: Understanding the Molecular Basis of Histologic Grade To Improve Prognosis
Christos Sotiriou,Pratyaksha Wirapati,Sherene Loi,Adrian L. Harris,Steve Fox,Johanna Smeds,Hans Nordgren,Pierre Farmer,Viviane Praz,Benjamin Haibe-Kains,Christine Desmedt,Denis Larsimont,Fatima Cardoso,Hans Peterse,Dimitry S.A. Nuyten,Marc Buyse,Marc J. van de Vijver,Jonas Bergh,Martine Piccart,Mauro Delorenzi +19 more
TL;DR: Gene expression grade index appeared to reclassify patients with histologic grade 2 tumors into two groups with high versus low risks of recurrence, which may improve the accuracy of tumor grading and thus its prognostic value.
Journal ArticleDOI
Stromal gene expression predicts clinical outcome in breast cancer
Greg Finak,Nicholas Bertos,Francois Pepin,Francois Pepin,Svetlana Sadekova,Margarita Souleimanova,Hong Zhao,Haiying Chen,Gulbeyaz Omeroglu,Sarkis Meterissian,Atilla Omeroglu,Michael Hallett,Morag Park,Morag Park +13 more
TL;DR: Genes represented in the new stroma-derived prognostic predictor (SDPP) reveal the strong prognostic capacity of differential immune responses as well as angiogenic and hypoxic responses, highlighting the importance of stromal biology in tumor progression.
Journal ArticleDOI
IARC Handbooks of Cancer Prevention
TL;DR: The International Agency for Research on Cancer conducts a programme of research concentrating particularly on the epidemiology of cancer and the study of potential carcinogens in the human environment.
Breast cancer prognostic classification in the molecular era: the role of histological grade
Emad A. Rakha,Jorge S. Reis-Filho,Frederick L. Baehner,David J. Dabbs,Thomas Decker,Vincenzo Eusebi,Stephen B. Fox,Shu Ichihara,Jocelyne Jacquemier,Sunil R. Lakhani,José Palacios,Andrea L. Richardson,Stuart J. Schnitt,Fernando Schmitt,Puay Hoon Tan,Gary M.K. Tse,Sunil V. Badve,Ian O. Ellis +17 more
TL;DR: An analysis of the validity of Histological grade as a prognostic factor and a consensus view on the significance of histological grade and its role in breast cancer classification and staging systems in this era of emerging clinical use of molecular classifiers are presented.
Journal ArticleDOI
High‐throughput protein expression analysis using tissue microarray technology of a large well‐characterised series identifies biologically distinct classes of breast cancer confirming recent cDNA expression analyses
Dalia M. Abd El-Rehim,Graham Ball,Sarah E Pinder,Emad A. Rakha,C. Paish,John F.R. Robertson,Douglas Macmillan,Roger W. Blamey,Ian O. Ellis +8 more
TL;DR: The different protein expression profiles identified in this study confirm the biologic heterogeneity of breast cancer and demonstrate the clinical relevance of classification in this manner, and could form the basis of revision of existing traditional classification systems for breast cancer.