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Characterization of breast cancer subtypes by quantitative assessment of biological parameters: relationship with clinicopathological characteristics, biological features and prognosis.
Eur J Obstet Gynecol Reprod Biol. 2008 Dec; 141(2):147-52.EJ

Abstract

OBJECTIVES

Gene expression analysis has identified several breast cancer subtypes, including luminal, epidermal growth factor receptor-2 positive (HER2+), and basal-like. To determine if our proposed molecular taxonomy correlates with biological and clinical behavior. This is based on four biological markers: estrogen and progesterone receptors (ER and PR, respectively), HER2 and the epidermal growth factor receptor-1 (HER1), all of them being determined by quantitative assays.

STUDY DESIGN

The biological parameters were examined by enzyme immunoassay, radioligand-binding assay or ELISA, in tumors from 787 patients with invasive breast cancer. Patients were prospectively evaluated over a median follow-up period of 50 months. Subtype definitions were as follows: luminal (ER+), HER2+ (HER2+, ER-, PgR-) and basal-like (HER2-, ER-, PgR-). In addition, we divided basal tumors into two groups based on their HER1 status.

RESULTS

A 55.8% of tumors were of luminal type, 11.9% basal-like HER1+, 10.7 basal-like HER1-, and the remainder 21.6% HER2+. Both HER2+ and basal-like subtypes were more frequent in younger and premenopausal women, showing a higher percentage of cases of poorly differentiated tumors and higher S-phase fraction, when compared with those of luminal subtype. Multivariate analysis demonstrated that the subtype of tumor was related to both relapse and overall survival, being those of luminal subtype associated with the best prognosis.

CONCLUSIONS

Through the classification of breast tumors in four groups, according to their ER, PgR, HER2 and HER1 status, it is possible to obtain a major division of breast tumors associated with significant differences in biological features and clinical behavior.

Authors+Show Affiliations

Unidad de Investigación, Hospital de Jove, Gijón, Spain.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

18768247

Citation

Del Casar, J M., et al. "Characterization of Breast Cancer Subtypes By Quantitative Assessment of Biological Parameters: Relationship With Clinicopathological Characteristics, Biological Features and Prognosis." European Journal of Obstetrics, Gynecology, and Reproductive Biology, vol. 141, no. 2, 2008, pp. 147-52.
Del Casar JM, Martín A, García C, et al. Characterization of breast cancer subtypes by quantitative assessment of biological parameters: relationship with clinicopathological characteristics, biological features and prognosis. Eur J Obstet Gynecol Reprod Biol. 2008;141(2):147-52.
Del Casar, J. M., Martín, A., García, C., Corte, M. D., Alvarez, A., Junquera, S., González, L. O., Bongera, M., García-Muñiz, J. L., Allende, M. T., & Vizoso, F. (2008). Characterization of breast cancer subtypes by quantitative assessment of biological parameters: relationship with clinicopathological characteristics, biological features and prognosis. European Journal of Obstetrics, Gynecology, and Reproductive Biology, 141(2), 147-52. https://doi.org/10.1016/j.ejogrb.2008.07.021
Del Casar JM, et al. Characterization of Breast Cancer Subtypes By Quantitative Assessment of Biological Parameters: Relationship With Clinicopathological Characteristics, Biological Features and Prognosis. Eur J Obstet Gynecol Reprod Biol. 2008;141(2):147-52. PubMed PMID: 18768247.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Characterization of breast cancer subtypes by quantitative assessment of biological parameters: relationship with clinicopathological characteristics, biological features and prognosis. AU - Del Casar,J M, AU - Martín,A, AU - García,C, AU - Corte,M D, AU - Alvarez,A, AU - Junquera,S, AU - González,L O, AU - Bongera,M, AU - García-Muñiz,J L, AU - Allende,M T, AU - Vizoso,F, Y1 - 2008/09/02/ PY - 2007/07/06/received PY - 2008/04/10/revised PY - 2008/07/11/accepted PY - 2008/9/5/pubmed PY - 2009/3/27/medline PY - 2008/9/5/entrez SP - 147 EP - 52 JF - European journal of obstetrics, gynecology, and reproductive biology JO - Eur J Obstet Gynecol Reprod Biol VL - 141 IS - 2 N2 - OBJECTIVES: Gene expression analysis has identified several breast cancer subtypes, including luminal, epidermal growth factor receptor-2 positive (HER2+), and basal-like. To determine if our proposed molecular taxonomy correlates with biological and clinical behavior. This is based on four biological markers: estrogen and progesterone receptors (ER and PR, respectively), HER2 and the epidermal growth factor receptor-1 (HER1), all of them being determined by quantitative assays. STUDY DESIGN: The biological parameters were examined by enzyme immunoassay, radioligand-binding assay or ELISA, in tumors from 787 patients with invasive breast cancer. Patients were prospectively evaluated over a median follow-up period of 50 months. Subtype definitions were as follows: luminal (ER+), HER2+ (HER2+, ER-, PgR-) and basal-like (HER2-, ER-, PgR-). In addition, we divided basal tumors into two groups based on their HER1 status. RESULTS: A 55.8% of tumors were of luminal type, 11.9% basal-like HER1+, 10.7 basal-like HER1-, and the remainder 21.6% HER2+. Both HER2+ and basal-like subtypes were more frequent in younger and premenopausal women, showing a higher percentage of cases of poorly differentiated tumors and higher S-phase fraction, when compared with those of luminal subtype. Multivariate analysis demonstrated that the subtype of tumor was related to both relapse and overall survival, being those of luminal subtype associated with the best prognosis. CONCLUSIONS: Through the classification of breast tumors in four groups, according to their ER, PgR, HER2 and HER1 status, it is possible to obtain a major division of breast tumors associated with significant differences in biological features and clinical behavior. SN - 1872-7654 UR - https://www.unboundmedicine.com/medline/citation/18768247/Characterization_of_breast_cancer_subtypes_by_quantitative_assessment_of_biological_parameters:_relationship_with_clinicopathological_characteristics_biological_features_and_prognosis_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0301-2115(08)00284-4 DB - PRIME DP - Unbound Medicine ER -