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Title:
Molecular profiling of breast cancer: portraits but not physiognomy | Breast Cancer Research
Description:
Breast cancers differ in response to treatment and may have a divergent clinical course despite having a similar histopathological appearance. New technology using DNA microarrays provides a systematic method to identify key markers for prognosis and treatment response by profiling thousands of genes expressed in a single cancer. Microarray profiling of 38 invasive breast cancers now confirms striking molecular differences between ductal carcinoma specimens and suggests a new classification for oestrogen-receptor negative breast cancer. Future approaches will need to include methods for high-throughput clinical validation and the ability to analyze microscopic samples.
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Keywords {π}
breast, expression, cancer, gene, article, data, pubmed, google, scholar, analysis, samples, cell, cas, profiling, molecular, microarrays, genes, microarray, epithelial, tumours, cluster, cancers, clinical, dna, set, lines, treatment, patterns, information, large, cdna, arrays, perou, median, basal, hybridization, nature, privacy, cookies, research, number, method, identify, single, ductal, methods, patient, sample, clustering, brown,
Topics {βοΈ}
high-throughput molecular profiling wellcome trust/mrc building dimensional hierarchical clustering adipose-enriched/normal breast //breast-cancer-research er-negative breast cancer high-fidelity mrna amplification lymphocyte-derived cell lines lymph node metastasis primary medical therapy microarray profiles genome-wide expression patterns extensive expression profiling profiling macroscopic specimens gene expression profiling privacy choices/manage cookies breast cancer remains breast cancer secondary advanced breast cancer repetitive cdna hybridizations high-throughput analysis high-throughput clinical validation endothelial cell lines b-cell cluster microarray profiling genome-wide analysis synchronous breast primary breast cancer classifications breast cancer cells molecular profiling author correspondence high resolution analysis normal dna repair adipose cell expression identifying distinct sets high-throughput testing vascular cell lines stratified epithelial cytokeratins alizadeh aa basal epithelial expression basal epithelial cancers paired breast specimens single cancer specimen breast cancers arise invasive ductal carcinomas luminal ductal epithelium tumour material required er-negative cancers european economic area ordering process continues
Questions {β}
- Should this new classification of ER-negative cancers become part of the clinical assessment of breast cancer?
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headline:Molecular profiling of breast cancer: portraits but not physiognomy
description:Breast cancers differ in response to treatment and may have a divergent clinical course despite having a similar histopathological appearance. New technology using DNA microarrays provides a systematic method to identify key markers for prognosis and treatment response by profiling thousands of genes expressed in a single cancer. Microarray profiling of 38 invasive breast cancers now confirms striking molecular differences between ductal carcinoma specimens and suggests a new classification for oestrogen-receptor negative breast cancer. Future approaches will need to include methods for high-throughput clinical validation and the ability to analyze microscopic samples.
datePublished:2000-12-18T00:00:00Z
dateModified:2000-12-18T00:00:00Z
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pageEnd:4
sameAs:https://doi.org/10.1186/bcr274
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breast cancer
cDNA microarray
hierarchical clustering
molecular profiling
Cancer Research
Oncology
Surgical Oncology
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headline:Molecular profiling of breast cancer: portraits but not physiognomy
description:Breast cancers differ in response to treatment and may have a divergent clinical course despite having a similar histopathological appearance. New technology using DNA microarrays provides a systematic method to identify key markers for prognosis and treatment response by profiling thousands of genes expressed in a single cancer. Microarray profiling of 38 invasive breast cancers now confirms striking molecular differences between ductal carcinoma specimens and suggests a new classification for oestrogen-receptor negative breast cancer. Future approaches will need to include methods for high-throughput clinical validation and the ability to analyze microscopic samples.
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dateModified:2000-12-18T00:00:00Z
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breast cancer
cDNA microarray
hierarchical clustering
molecular profiling
Cancer Research
Oncology
Surgical Oncology
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