Please use this identifier to cite or link to this item:
https://doi.org/10.1186/bcr1517
DC Field | Value | |
---|---|---|
dc.title | Intrinsic molecular signature of breast cancer in a population-based cohort of 412 patients | |
dc.contributor.author | Calza, S | |
dc.contributor.author | Hall, P | |
dc.contributor.author | Auer, G | |
dc.contributor.author | Bjöhle, J | |
dc.contributor.author | Klaar, S | |
dc.contributor.author | Kronenwett, U | |
dc.contributor.author | Liu, E.T | |
dc.contributor.author | Miller, L | |
dc.contributor.author | Ploner, A | |
dc.contributor.author | Smeds, J | |
dc.contributor.author | Bergh, J | |
dc.contributor.author | Pawitan, Y | |
dc.date.accessioned | 2020-11-10T00:46:15Z | |
dc.date.available | 2020-11-10T00:46:15Z | |
dc.date.issued | 2006 | |
dc.identifier.citation | Calza, S, Hall, P, Auer, G, Bjöhle, J, Klaar, S, Kronenwett, U, Liu, E.T, Miller, L, Ploner, A, Smeds, J, Bergh, J, Pawitan, Y (2006). Intrinsic molecular signature of breast cancer in a population-based cohort of 412 patients. Breast Cancer Research 8 (4) : R34. ScholarBank@NUS Repository. https://doi.org/10.1186/bcr1517 | |
dc.identifier.issn | 1465542X | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/183287 | |
dc.description.abstract | Background: Molecular markers and the rich biological information they contain have great potential for cancer diagnosis, prognostication and therapy prediction. So far, however, they have not superseded routine histopathology and staging criteria, partly because the few studies performed on molecular subtyping have had little validation and limited clinical characterization. Methods: We obtained gene expression and clinical data for 412 breast cancers obtained from population-based cohorts of patients from Stockholm and Uppsala, Sweden. Using the intrinsic set of approximately 500 genes derived in the Norway/Stanford breast cancer data, we validated the existence of five molecular subtypes - basal-like, ERBB2, luminal A/B and normal-like - and characterized these subtypes extensively with the use of conventional clinical variables. Results: We found an overall 77.5% concordance between the centroid prediction of the Swedish cohort by using the Norway/Stanford signature and the k-means clustering performed internally within the Swedish cohort. The highest rate of discordant assignments occurred between the luminal A and luminal B subtypes and between the luminal B and ERBB2 subtypes. The subtypes varied significantly in terms of grade (p < 0.001), p53 mutation (p < 0.001) and genomic instability (p = 0.01), but surprisingly there was little difference in lymph-node metastasis (p = 0.31). Furthermore, current users of hormone-replacement therapy were strikingly over-represented in the normal-like subgroup (p < 0.001). Separate analyses of the patients who received endocrine therapy and those who did not receive any adjuvant therapy supported the previous hypothesis that the basal-like subtype responded to adjuvant treatment, whereas the ERBB2 and luminal B subtypes were poor responders. Conclusion: We found that the intrinsic molecular subtypes of breast cancer are broadly present in a diverse collection of patients from a population-based cohort in Sweden. The intrinsic gene set, originally selected to reveal stable tumor characteristics, was shown to have a strong correlation with progression-related properties such as grade, p53 mutation and genomic instability. © 2006 Calza et al.; licensee BioMed Central Ltd. | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source | Unpaywall 20201031 | |
dc.subject | cyclophosphamide | |
dc.subject | epidermal growth factor receptor 2 | |
dc.subject | estrogen receptor | |
dc.subject | fluorouracil | |
dc.subject | goserelin | |
dc.subject | methotrexate | |
dc.subject | protein p53 | |
dc.subject | RNA | |
dc.subject | tamoxifen | |
dc.subject | article | |
dc.subject | breast cancer | |
dc.subject | cancer classification | |
dc.subject | cancer survival | |
dc.subject | cluster analysis | |
dc.subject | cohort analysis | |
dc.subject | controlled study | |
dc.subject | correlation analysis | |
dc.subject | gene expression | |
dc.subject | genomic instability | |
dc.subject | hormone substitution | |
dc.subject | human | |
dc.subject | human cell | |
dc.subject | human tissue | |
dc.subject | laboratory test | |
dc.subject | lymph node metastasis | |
dc.subject | major clinical study | |
dc.subject | mammography | |
dc.subject | population research | |
dc.subject | prediction | |
dc.subject | prognosis | |
dc.subject | protein microarray | |
dc.subject | Sweden | |
dc.subject | validation process | |
dc.subject | breast tumor | |
dc.subject | classification | |
dc.subject | female | |
dc.subject | genetics | |
dc.subject | mutation | |
dc.subject | pathology | |
dc.subject | tumor suppressor gene | |
dc.subject | validation study | |
dc.subject | Breast Neoplasms | |
dc.subject | Cohort Studies | |
dc.subject | Female | |
dc.subject | Gene Expression | |
dc.subject | Genes, p53 | |
dc.subject | Genomic Instability | |
dc.subject | Humans | |
dc.subject | Mutation | |
dc.type | Article | |
dc.contributor.department | MEDICINE | |
dc.description.doi | 10.1186/bcr1517 | |
dc.description.sourcetitle | Breast Cancer Research | |
dc.description.volume | 8 | |
dc.description.issue | 4 | |
dc.description.page | R34 | |
Appears in Collections: | Staff Publications Elements |
Show simple item record
Files in This Item:
File | Description | Size | Format | Access Settings | Version | |
---|---|---|---|---|---|---|
10_1186_bcr1517.pdf | 270.04 kB | Adobe PDF | OPEN | None | View/Download |
This item is licensed under a Creative Commons License