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Journal ArticleDOI

Challenges translating breast cancer gene signatures into the clinic

TLDR
The hurdles in the development and validation of molecular classification systems, and prognostic and predictive signatures based on microarray gene-expression profiling are discussed and it is suggested that similar challenges are likely to be encountered in translating next-generation sequencing data into clinically useful information.
Abstract
The advent of microarray-based gene-expression profiling a decade ago raised high expectations for rapid advances in breast cancer classification, prognostication and prediction. Despite the development of molecular classifications, and prognostic and predictive gene-expression signatures, microarray-based studies have not yielded definitive answers to many of the questions that remain germane for the successful implementation of personalized medicine. There are a lack of robust signatures to predict benefit from specific therapeutic agents and it is still not possible to predict prognosis or chemotherapy treatment response in specific disease subsets accurately, such as triple-negative breast cancer. We discuss the hurdles in the development and validation of molecular classification systems, and prognostic and predictive signatures based on microarray gene-expression profiling. We suggest that similar challenges are likely to be encountered in translating next-generation sequencing data into clinically useful information. Finally we highlight strategies for the development of clinically useful molecular predictors in the future.

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Citations
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Whole transcriptome RNA-Seq analysis of breast cancer recurrence risk using formalin-fixed paraffin-embedded tumor tissue

TL;DR: This work has developed and optimized RNA-Seq library chemistry as well as bioinformatics and biostatistical methods for whole transcriptome profiling from FFPE tissue, which enable rediscovery of RNA biomarkers for disease recurrence risk that were previously identified by RT-PCR analysis of a cohort of 136 patients and identifies a high percentage of recurrencerisk markers previously discovered using DNA microarrays.
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RB-Pathway Disruption Is Associated with Improved Response to Neoadjuvant Chemotherapy in Breast Cancer

TL;DR: The data indicate that RB status is associated with the response to neoadjuvant chemotherapy in breast cancer and could be used to inform treatment, with similar results observed with multiple chemotherapy regimens.
Journal ArticleDOI

Multigene assays for classification, prognosis, and prediction in breast cancer: a critical review on the background and clinical utility

TL;DR: Gene signatures which are based on multigene profiling assays have been developed to better define the prognosis and prediction of therapy results in early-stage breast cancer and the current evidence of their clinical use is discussed.
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Breast cancer intratumor genetic heterogeneity: causes and implications

TL;DR: The impact of intratumor heterogeneity on response and resistance to therapy is beginning to be understood; this information may prove crucial for the potentials of personalized medicine to be realized.
Journal ArticleDOI

Expression and methylation patterns partition luminal-A breast tumors into distinct prognostic subgroups

TL;DR: The analysis of molecular classification of breast tumors using both expression and methylation data obtained from The Cancer Genome Atlas provides two prognostic gene sets that dissect and explain tumor variability within the luminal-A subgroup, thus, contributing to the advancement of subtype-specific diagnosis and treatment.
References
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Journal ArticleDOI

Molecular portraits of human breast tumours

TL;DR: Variation in gene expression patterns in a set of 65 surgical specimens of human breast tumours from 42 different individuals were characterized using complementary DNA microarrays representing 8,102 human genes, providing a distinctive molecular portrait of each tumour.
Journal ArticleDOI

Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications

TL;DR: Survival analyses on a subcohort of patients with locally advanced breast cancer uniformly treated in a prospective study showed significantly different outcomes for the patients belonging to the various groups, including a poor prognosis for the basal-like subtype and a significant difference in outcome for the two estrogen receptor-positive groups.
Journal ArticleDOI

Gene expression profiling predicts clinical outcome of breast cancer

TL;DR: DNA microarray analysis on primary breast tumours of 117 young patients is used and supervised classification is applied to identify a gene expression signature strongly predictive of a short interval to distant metastases (‘poor prognosis’ signature) in patients without tumour cells in local lymph nodes at diagnosis, providing a strategy to select patients who would benefit from adjuvant therapy.
Journal ArticleDOI

Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials

O. Abe, +412 more
- 14 May 2005 - 
TL;DR: The 10-year and 15-year effects of various systemic adjuvant therapies on breast cancer recurrence and survival are reported and it is found that the cumulative reduction in mortality is more than twice as big at 15 years as at 5 years after diagnosis.
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