The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
The Humoral Immune System Has a Key Prognostic Impact in Node-Negative Breast Cancer
Open accessAbstract
Estrogen receptor (ER) expression and proliferative activity are established prognostic factors in breast cancer. In a search for additional prognostic motifs, we analyzed the gene expression patterns of 200 tumors of patients who were not treated by systemic therapy after surgery using a discovery approach. After performing hierarchical cluster analysis, we identified coregulated genes related to the biological process of proliferation, steroid hormone receptor expression, as well as B-cell and T-cell infiltration. We calculated metagenes as a surrogate for all genes contained within a particular cluster and visualized the relative expression in relation to time to metastasis with principal component analysis. Distinct patterns led to the hypothesis of a prognostic role of the immune system in tumors with high expression of proliferation-associated genes. In multivariate Cox regression analysis, the proliferation metagene showed a significant association with metastasis-free survival of the whole discovery cohort [hazard ratio (HR), 2.20; 95% confidence interval (95% CI), 1.40–3.46]. The B-cell metagene showed additional independent prognostic information in carcinomas with high proliferative activity (HR, 0.66; 95% CI, 0.46–0.97). A prognostic influence of the B-cell metagene was independently confirmed by multivariate analysis in a first validation cohort enriched for high-grade tumors (n = 286; HR, 0.78; 95% CI, 0.62–0.98) and a second validation cohort enriched for younger patients (n = 302; HR, 0.83; 95% CI, 0.7–0.97). Thus, we could show in three cohorts of untreated, node-negative breast cancer patients that the humoral immune system plays a pivotal role in metastasis-free survival of carcinomas of the breast. [Cancer Res 2008;68(13):5405–13]
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Molecular portraits of human breast tumours
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Gene expression profiling predicts clinical outcome of breast cancer
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A Gene-Expression Signature as a Predictor of Survival in Breast Cancer
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A Multigene Assay to Predict Recurrence of Tamoxifen-Treated, Node-Negative Breast Cancer
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Cited by
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
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Györffy, B., Lanczky, A., Eklund, A. C., Denkert, C., Budczies, J., Li, Q., & Szallasi, Z. (2010) · Breast Cancer Research and Treatment · doi:10.1007/s10549-009-0674-9 · Cited by 4,169
Triple-negative breast cancer: challenges and opportunities of a heterogeneous disease
Bianchini, G., Balko, J. M., Mayer, I. A., Sanders, M. E., & Gianni, L. (2016) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2016.66 · Cited by 3,079
Influence of tumour micro-environment heterogeneity on therapeutic response
Junttila, M. R., & de Sauvage, F. J. (2013) · Nature · doi:10.1038/nature12626 · Cited by 2,694
Metadata
- Authors
- Schmidt, M., Böhm, D., von Törne, C., Steiner, E., Puhl, A., Pilch, H., Lehr, H.-A., Hengstler, J. G., Kölbl, H., & Gehrmann, M.
- Venue
- Cancer Research
- Published
- 2008-07-01
- Volume
- 68
- Issue
- 13
- Pages
- 5405-5413
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2088160256
- Cited by
- 836
- References
- 32
- FWCI
- 11.42
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Schmidt, M., Böhm, D., von Törne, C., Steiner, E., Puhl, A., Pilch, H., Lehr, H.-A., Hengstler, J. G., Kölbl, H., & Gehrmann, M. (2008). The Humoral Immune System Has a Key Prognostic Impact in Node-Negative Breast Cancer. Cancer Research. https://doi.org/10.1158/0008-5472.can-07-5206
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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