Luminal B breast cancer: molecular characterization, clinical management, and future perspectives.

Gene expression profiling has reshaped our understanding of breast cancer by defining and characterizing four main intrinsic molecular subtypes: human epidermal growth factor receptor 2-enriched, basal-like, luminal A, and luminal B subtypes. Luminal B breast cancer has been reported to have lower expression of hormone receptors, higher expression of proliferation markers, and higher histologic grade than luminal A. It also exhibits worse prognosis and has a distinct profile of response to hormone therapy and chemotherapy. Although luminal cancers share similarities, the studies conducted in recent years using next-generation sequencing technology show that luminal A and B breast cancers should be perceived as distinct entities, with specific oncogenic drivers, rather than more proliferative varieties of luminal tumors. This review discusses the definition and molecular characterization of luminal B breast cancer and presents the available clinical evidence for chemotherapy and endocrine therapy patterns of response. It also provides an overview of ongoing research on molecularly targeted agents for this disease.

Survival analysis of breast cancer subtypes in patients with spinal metastases.

STUDY DESIGN: We conducted a retrospective cohort study of 151 patients with breast cancer spinal metastases. OBJECTIVE: To investigate the influence of breast cancer subtypes on survival duration of patients with breast cancer spinal metastases, and to aid spine surgeons in selecting treatments on a more precise basis. SUMMARY OF BACKGROUND DATA: There is lack of knowledge about specific prognosis of patients with spinal metastases in various breast cancer subtypes. Estrogen receptor (ER), progesterone receptor (PgR), and human epidermal growth factor receptor 2 (Her-2) status are the key factors in determining breast cancer subtypes and predicting patients' response to adjuvant treatments. METHODS: Until August 2013, we retrieved 151 surgically treated patients with breast cancer spinal metastases and followed up all the patients for at least 2 years. Survival duration analysis and Cox proportional hazards regression model unadjusted and adjusted by age were used. RESULTS: Patients with ER-negative (-) breast cancer had 11 months shorter median survival duration (10.6 vs. 21.5 mo) and 48% higher mortality risk (P=0.03) than those with ER-positive (+) breast cancer. Patients with PgR (-) status had 59% higher mortality risk than those with PgR (+) status (P=0.02). Hormone receptor (HR) status is a combination of ER and PgR status. Patients with HR (-) status had an 11-month shorter median survival duration and 52% higher mortality risk (P=0.01) than patients with HR (+) status. Human epidermal growth factor receptor 2 subtypes had similar median survival duration and mortality risk. Patients with triple-negative breast cancer had a median survival duration of only 9.9 months. CONCLUSION: Patients with spinal metastases with ER/HR (-) status and triple-negative breast cancer could be downgraded from score "5" to "3" in Tokuhashi scoring system and from "slow growth" to "moderate growth" in Tomita scoring system. Spine surgeons should be critical before performing high-risk extensive surgery in patients with ER/HR (-) status, and especially, in those with triple-negative status. LEVEL OF EVIDENCE: 3.

Lessons learned from the intrinsic subtypes of breast cancer in the quest for precision therapy.

BACKGROUND: Wide variability in breast cancer, between patients and within each individual neoplasm, adds confounding complexity to the treatment of the disease. In clinical practice, hormone receptor status has been used to classify breast tumours and to guide treatment. Modern classification systems should take the wide tumour heterogeneity into account to improve patient outcome. METHODS: This article reviews the identification of the intrinsic molecular subtypes of breast cancer, their prognostic and therapeutic implications, and the impact of tumour heterogeneity on cancer progression and treatment. The possibility of functionally addressing tumour-specific characteristics in in vivo models to inform decisions for precision therapies is also discussed. RESULTS: Despite the robust breast tumour classification system provided by gene expression profiling, heterogeneity is also evident within these molecular portraits. A complicating factor in breast cancer classification is the process of selective clonality within developing neoplasms. Phenotypically and functionally distinct clones representing the intratumour heterogeneity might confuse molecular classification. Molecular portraits of the heterogeneous primary tumour might not necessarily reflect the subclone of cancer cells that causes the disease to relapse. Studies of reciprocal relationships between cancer cell subpopulations within developing tumours are therefore needed, and are possible only in genetically engineered mouse models or patient-derived xenograft models, in which the treatment-induced selection pressure on individual cell clones can be mimicked. CONCLUSION: In the future, more refined classifications, based on integration of information at several molecular levels, are required to improve treatment guidelines. Large-scale translational research efforts paved the way for identification of the intrinsic subtypes, and are still fundamental for ensuring future progress in cancer care.

Intrinsic breast cancer subtypes defined by estrogen receptor signalling-prognostic relevance of progesterone receptor loss.

The majority of luminal type breast carcinomas are slowly growing tumors with an overall favorable prognosis. However, a proportion of cases (luminal B tumors) are characterized by coactivation of growth factor receptors or non-canonical ER signaling and a poorer clinical outcome. The aim of our study was to evaluate whether the expression of proteins that are part of the ER signaling network may be used to distinguish low-risk from high-risk luminal tumors. Unsupervised hierarchical clustering of a set of proteins either involved in estrogen receptor signaling or associated with resistance to endocrine therapy was performed in a series of 443 postmenopausal breast carcinomas. Using this approach, we were able to reproduce the established classification with two distinct groups of luminal (estrogen receptor positive) tumors, one group of HER2-associated tumors and a group of triple-negative tumors. However, neither proliferation nor the expression of one or more of the ER-co-factors or resistance-associated factors, but PR-expression was identified as the most important stratifier distinguishing between the two luminal groups. In fact, not only the four identified clusters were shown to be significantly associated with patient outcome, PR-expression alone or in combination with Ki-67-stains stratified ER-positive tumors into a low-risk and a high-risk group. Our data indicate that defining luminal B tumors by the presence of high-risk criteria (loss of PR-expression or increased proliferation) provides a robust and highly significant stratification of ER-positive breast carcinomas into luminal A and B.

Prognostic value of proliferation assay in the luminal, HER2-positive, and triple-negative biologic classes of breast cancer.

INTRODUCTION: Although the prognostic significance of proliferation in early invasive breast cancer has been recognized for a long time, recent gene-expression profiling studies have reemphasized its biologic and prognostic value and the potential application of its assessment in routine practice, particularly to define prognostic subgroups of luminal/hormone receptor-positive (HR+) tumors. This study aimed to assess the prognostic value of a proliferation assay by using Ki-67 immunohistochemistry as compared with mitotic count scores. METHOD: Proliferation was assessed by using Ki-67 labeling index (Ki-67LI) and mitotic scores in a large (n = 1,550) and well-characterized series of clinically annotated primary operable invasive breast cancer with long-term follow-up. Tumors were phenotyped based on their IHC profiles into luminal/HR+, HER2+, and triple-negative (TN) classes. We used a split-sample development and validation approach to determine the optimal Ki-67LI cut-offs. RESULTS: The optimal cut-points of Ki-67LI were 10% and 50% for the luminal class. Both Ki7LI and MS were able to split luminal tumors into subgroups with significantly variable outcomes, independent of other variables. Neither mitotic count scores nor Ki-67LI was associated with outcome in the HER2+ or the TN classes. CONCLUSIONS: Assessment of proliferation by using Ki-67LI and MS can distinguish subgroups of patients within luminal/hormone receptor-positive breast cancer significantly different in clinical outcomes. Overall, both Ki-67 LI and mitotic-count scores showed comparable results. The method described could provide a cost-effective method for prognostic subclassification of luminal/hormone receptor-positive breast cancer in routine clinical practice.

Association between breast cancer subtypes and response to neoadjuvant anastrozole.

Considerable heterogeneity exists amongst oestrogen receptor positive (ER+ve) breast cancer in both its molecular profile and response to therapy. Attempts to better define variation amongst breast tumours have led to the definition of four main "intrinsic" subtypes of breast cancer with two of these classes, Luminal A and B, composed almost entirely of ER+ve cancers. In this study we set out to investigate the significance of intrinsic subtypes within a group of ER+ve breast cancers treated with neoadjuvant anastrozole. RNA from tumour biopsies taken from 104 postmenopausal women before and after 2 weeks treatment with anastrozole was analyzed on Illumina 48K microarrays. Gene-expression based subtypes and risk of relapse (ROR) scores for tumours pre- and post-treatment were determined using the PAM50 method. Amongst pre-treatment samples, all intrinsic subtypes were found to be present, although luminal groups were represented most highly. Luminal A and B tumours obtained similar benefit from treatment, as measured by the proportional fall in the proliferation marker Ki67 upon treatment (mean suppression=75.5% vs 75.7%). Tumours classified as basal and Her2-like showed poor reductions in Ki67 upon treatment. Residual Ki67 staining after two weeks remained higher in the Luminal B group. ROR score was significantly associated with anti-proliferative response to AI and with clinical response. These results suggest that in the short-term, Luminal A and B tumours may gain similar benefit from an AI but that the higher residual Ki67 level seen in Luminal B is indicative of poorer long term outcome.

A case-control study of reproductive factors associated with subtypes of breast cancer in Northeast China.

Based on the expression of estrogen receptor (ER), progesterone receptor (PR) and HER2/neu (HER2), breast cancer is classified into several subtypes: luminal A (ER+ and/or PR+, HER2-), luminal B (ER+ and/or PR+, HER2+), HER2-overexpressing (ER-, PR-, and HER2+) and triple-negative (ER-, PR-, and HER2-). The aim of this case-control study is to determine reproductive factors associated with breast cancer subtypes in Chinese women. A total of 1,417 patients diagnosed with breast cancer in the First Affiliated Hospital, China Medical University, Shenyang, China between 2001 and 2009 and 1,587 matched controls without a prior breast cancer were enrolled. Personal interviews were conducted to obtain information on reproductive characteristics and clinical history. Relationships between the factors and the subtypes of breast cancer were examined using logistic regression to compute odds ratios (OR) and 95% confidence intervals (CI). Notably, luminal A (50.0%) was the most prevalent subtype relative to luminal B (15.10%), HER2-overexpressing (10.87%) and triple-negative (23.08%). Menarche at an early age was associated with a reduced risk of luminal A (OR, 2.35; 95% CI, 1.45-3.81). Breastfeeding protected parous women from any subtype of breast cancer. Postmenopause and spontaneous abortion were inversely associated with the risk of luminal tumors. By contrast, multiparity, family history of breast cancer and induced abortion increased the risk of breast cancer. Collectively, our findings suggest that reproductive factors such as age at menarche, parity, breastfeeding, menopausal status and abortion history have different effects on the subtypes of breast cancer in Chinese women.

Poor-prognosis estrogen receptor-positive breast cancer identified by histopathologic subclassification.

PURPOSE: Identification of biologically and clinically distinct breast cancer subtypes could improve prognostic assessment of primary tumors. The characteristics of "molecular" breast cancer subtypes suggest that routinely assessed histopathologic features in combination with limited biomarkers may provide an informative classification for routine use. EXPERIMENTAL DESIGN: Hierarchical cluster analysis based on components of histopathologic grade (tubule formation, nuclear pleomorphism, and mitotic score), expression of ER, cytokeratin 5/6, and HER2 amplification identified four breast cancer subgroups in a cohort of 270 cases. Cluster subgroup membership was compared with observed and Adjuvant! Online predicted 10-year survival. Survival characteristics were confirmed in an independent cohort of 300 cases assigned to cluster subgroups using a decision tree model. RESULTS: Four distinct breast cancer cluster subgroups (A-D) were identified that were analogous to molecular tumor types and showed a significant association with survival in both the original and validation cohorts (P < 0.001). There was a striking difference between survival for patients in cluster subgroups A and B with ER(+) breast cancer (P < 0.001). Outcome for all tumor types was well estimated by Adjuvant! Online, with the exception of cluster B ER(+) cancers where Adjuvant! Online was too optimistic. CONCLUSIONS: Breast cancer subclassification based on readily accessible pathologic features could improve prognostic assessment of ER(+) breast cancer.

A divergent role for estrogen receptor-beta in node-positive and node-negative breast cancer classified according to molecular subtypes: an observational prospective study.

INTRODUCTION: Estrogen receptor-alpha (ER-alpha) and progesterone receptor (PgR) are consolidated predictors of response to hormonal therapy (HT). In contrast, little information regarding the role of estrogen receptor-beta (ER-beta) in various breast cancer risk groups treated with different therapeutic regimens is available. In particular, there are no data concerning ER-beta distribution within the novel molecular breast cancer subtypes luminal A (LA) and luminal B (LB), HER2 (HS), and triple-negative (TN). METHODS: We conducted an observational prospective study using immunohistochemistry to evaluate ER-beta expression in 936 breast carcinomas. Associations with conventional biopathological factors and with molecular subtypes were analyzed by multiple correspondence analysis (MCA), while univariate and multivariate Cox regression analysis and classification and regression tree analysis were applied to determine the impact of ER-beta on disease-free survival in the 728 patients with complete follow-up data. RESULTS: ER-beta evenly distributes (55.5%) across the four molecular breast cancer subtypes, confirming the lack of correlation between ER-beta and classical prognosticators. However, the relationships among the biopathological factors, analyzed by MCA, showed that ER-beta positivity is located in the quadrant containing more aggressive phenotypes such as HER2 and TN or ER-alpha/PgR/Bcl2- tumors. Kaplan-Meier curves and Cox regression analysis identified ER-beta as a significant discriminating factor for disease-free survival both in the node-negative LA (P = 0.02) subgroup, where it is predictive of response to HT, and in the node-positive LB (P = 0.04) group, where, in association with PgR negativity, it conveys a higher risk of relapse. CONCLUSION: Our data indicated that, in contrast to node-negative patients, in node-positive breast cancer patients, ER-beta positivity appears to be a biomarker related to a more aggressive clinical course. In this context, further investigations are necessary to better assess the role of the different ER-beta isoforms.

Activation of nuclear factor-kappaB (NFkappaB) identifies a high-risk subset of hormone-dependent breast cancers.

Activation of nuclear factor-kappaB (NFkappaB) has been linked to the development of hormone-independent, estrogen receptor (ER)-negative human breast cancers. To explore the possibility that activated NFkappaB marks a subset of clinically more aggressive ER-positive breast cancers, NFkappaB DNA-binding was measured in ER-positive breast cancer cell lines and primary breast cancer extracts by electrophoretic mobility shift assay and ELISA-based quantification of specific NFkappaB p50 and p65 DNA-binding subunits. Oxidant (menadione 100 microMx30 min) activation of NFkappaB was prevented by pretreatment with various NFkappaB inhibitors, including the specific IkappaB kinase (IKK) inhibitor, parthenolide (PA), which was found to sensitize MCF-7/HER2 and BT474 but not MCF-7 cells to the antiestrogen tamoxifen. Early stage primary breast cancers selected a priori for lower ER content (21-87 fmol/mg; n=59) and known clinical outcome showed two- to four-fold increased p50 and p65 NFkappaB DNA-binding over a second set of primary breast cancers with higher ER content (>100 fmol/mg; n=22). Breast cancers destined to relapse (13/59) showed significantly higher NFkappaB p50 (but not p65) DNA-binding over those not destined to relapse (46/59; p=0.04). NFkappaB p50 DNA-binding correlated positively with several prognostic biomarkers; however, only NFkappaB p50 DNA-binding (p=0.04), Activator Protein-1 DNA-binding (AP-1; p

Androgen-independent prostate cancer is a heterogeneous group of diseases: lessons from a rapid autopsy program.

Understanding the biology of prostate cancer metastasis has been limited by the lack of tissue for study. We studied the clinical data, distribution of prostate cancer involvement, morphology, immunophenotypes, and gene expression from 30 rapid autopsies of men who died of hormone-refractory prostate cancer. A tissue microarray was constructed and quantitatively evaluated for expression of prostate-specific antigen, androgen receptor, chromogranin, synaptophysin, MIB-1, and alpha-methylacylCoA-racemase markers. Hierarchical clustering of 16 rapid autopsy tumor samples was performed to evaluate the cDNA expression pattern associated with the morphology. Comparisons were made between patients as well as within the same patient. Metastatic hormone-refractory prostate cancer has a heterogeneous morphology, immunophenotype, and genotype, demonstrating that "metastatic disease" is a group of diseases even within the same patient. An appreciation of this heterogeneity is critical to evaluating diagnostic and prognostic biomarkers as well as to designing therapeutic targets for advanced disease.

[Valoration of the epidermal growth factor receptor (EGFR) in benign breast disease and its relation with expression in malignant tumors classified by hormonal dependence]. / Valoración del receptor del factor de crecimiento epidérmico (EGFR) en patología benigna de la mama y su relación con la expresión en tumores malignos clasificados en función de su dependencia hormonal.

The aim of this work is studying the behaviour of EGFR in benign breast pathologies and correlating it to its expression in CDI with hormonal dependency or independency using a radioligand technique. The EGFR expression was higher in FAD rather than in MFQ (mean +/- S.D.: 13.7 +/- 13.5; range: 1.0-55.3; median: 10.0 fmol/mg prot vs mean +/- S.D.: 4.0 +/- 3.5; range:1.0-11.4; median: 2.2 fmol/mg prot), with a result of a positive correlation in the first ones with RP (r = 0.4557) but not with RE. FAD present similar EGFR concentrations to those in CDI-hormonal independents (mean +/- S.D.: 10.7 +/- 12.6; range: 1.0-60.2; median: 6.75 fmol/mg prot), even though the way they are correlated with the content in RP leads us to the conclusion that they are both involved in the genesis and controled development of themselves. On the other hand, MFQ have got similar contents in EGFR to those of CDI hormono-dependents (mean +/- S.D.: 6.98 +/- 15.72; range: 1.0-118; median: 2.55 fmol/mg prot); this fact proves that the development of this pathology does not only depend on the growth factors but also on the hormonal environment which influences it.

Androgen receptor variants with short glutamine or glycine repeats may identify unique subpopulations of men with prostate cancer.

The androgen receptor (AR) contains glutamine (CAG) and glycine (GGC) repeats that are each polymorphic in length. We screened clinically localized prostate cancers for somatic mutations in the length of the CAG and GGC repeats in the AR gene and characterized the length of these repeats in the germ-line AR gene. Somatic mutations were rare, and the range of germ-line repeat lengths in men with prostate cancer was within the range of normal in the general population. Most allele frequencies in Caucasian men with clinical prostate cancer were remarkably comparable to those in the general Caucasian population. However, a subpopulation of the men with clinical prostate cancer had a substantially higher frequency of AR alleles with 16 or 17 CAGs (6 of 59 men, 10%) than did the general population (6 of 370 alleles, 1.6%), and a different subpopulation of the men with prostate cancer had a higher frequency of AR alleles with 12 or 13 GGCs (7 of 54 men, 13%) than did the general population (1 of 110 alleles, 0.9%). Of the men with prostate cancer who had an AR gene with 16 or 17 CAGs, 83% had lymph node-positive disease, despite the lack of clinical evidence of metastatic spread. This suggests that a short AR CAG allele may be a risk factor for the development of clinically unsuspected lymph node-positive prostate cancer among men undergoing radical prostatectomy and raises the question of whether this short repeat length played an active role in the development of aggressive prostate cancer. The odds of having a germ-line AR gene with a short CAG repeat (