Linda Sofie Lindström

Clinically Used Breast Cancer Markers Such as Estrogen Receptor, Progesterone Receptor, and Human Epidermal Growth Factor Receptor 2 Are Unstable Throughout Tumor Progression

PURPOSE To investigate whether hormonal receptors and human epidermal growth factor receptor 2 (HER2) change throughout tumor progression, because this may alter patient management. PATIENTS AND METHODS The study cohort included female patients with breast cancer in the Stockholm health care region who relapsed from January 1, 1997, to December 31, 2007. Either biochemical or immunohistochemical (IHC)/immunocytochemical (ICC) methods were used to determine estrogen receptor (ER), progesterone receptor (PR), and HER2 status, which was then confirmed by fluorescent in situ hybridization for IHC/ICC 2+ and 3+ status. Results ER (459 patients), PR (430 patients), and HER2 (104 patients) from both primary tumor and relapse were assessed, revealing a change in 32.4% (McNemars test P < .001), 40.7% (P < .001), and 14.5% (P = .44) of patients, respectively. Assessment of ER (119 patients), PR (116 patients), and HER2 (32 patients) with multiple (from two to six) consecutive relapses showed an alteration in 33.6%, 32.0%, and 15.7% of patients, respectively. A statistically significant differential overall survival related to intraindividual ER and PR status in primary tumor and relapse (log-rank P < .001) was noted. In addition, women with ER-positive primary tumors that changed to ER-negative tumors had a significant 48% increased risk of death (hazard ratio, 1.48; 95% CI, 1.08 to 2.05) compared with women with stable ER-positive tumors. CONCLUSION Patients with breast cancer experience altered hormone receptor and HER2 status throughout tumor progression, possibly influenced by adjuvant therapies, which significantly influences survival. Hence, marker investigations at relapse may potentially improve patient management and survival.

HER2 status in a population-derived breast cancer cohort: discordances during tumor progression

This retrospective study investigates the correlation of intra-individual HER2 status between primary breast cancers and corresponding recurrences in a population derived cohort. The REMARK criteria were used as reference. In 151 breast cancer patients, primary tumors were analyzed for HER2 status on histopathology sections using immunohistochemistry (IHC) confirmed by fluorescence in situ hybridization (FISH) for IHC 2+ and 3+. Recurrences (loco regional and distant) were investigated by aspiration cytology, using HER2 immunocytochemistry (ICC) or FISH (ICC in 84 patients and FISH in 102 patients). In the 151 patients, sites of recurrence were bone/bone marrow 30%, liver 16%, local recurrence 18%, lung/pleura 10%, axillary lymph nodes 9%, skin (non-local) 7%, supra clavicular lymph nodes 5%, and other sites 7%. In 15 patients (10%) HER2 status changed, 7 of 108 patients (6%) from HER2 negative to HER2 positive and 8 of 43 (19%) from HER2 positive to HER2 negative. Intra-patient agreement in HER2 status was 76% (95% CI 64–87%), and the disagreement was 10% (95% CI 5–15%). The multivariable Cox analysis showed a significantly increased risk of dying in the patient group with changed HER2 status compared to patients with concordant positive HER2 status. Overall survival HR is 5.47 (95% CI 2.01–14.91) and survival from relapse HR is 3.22 (95% CI 1.18–8.77). The unstable status for HER2 in breast cancer is clinically significant and should motivate more frequent testing of recurrences.

Familial concordance in cancer survival: a Swedish population-based study

BACKGROUND Nowadays, the fact that cancers can aggregate in families is generally accepted. The aim of this study was to complete a comprehensive analysis of cancer-survival concordance in parents and their children diagnosed with the same cancer. METHODS We used a population-based Swedish family database, that included about three million families and data for more than a million individuals with cancer. We analysed survival in children in relation to parental survival by use of the Kaplan-Meier method. We then modelled the risk in children in relation to parental survival by use of two multivariate proportional hazard (Cox) models adjusting for possible confounders of survival. FINDINGS In our univariate Kaplan-Meier analysis, children with the same cancer as their parent and whose parent had died within 10 years of diagnosis showed significantly worse survival for breast (log rank p=0.01), colorectal (p=0.04), and prostate cancer (p=0.05) than those whose parents were alive at 10 years from diagnosis. By use of Cox modelling, we noted an increased hazard ratio for death from cancer in children with poor parental survival compared with those with good parental survival for colorectal cancer (hazard ratio [HR] 1.44 [95% CI 1.01-2.01]), lung cancer (1.39 [1.00-1.94]), breast cancer (1.75 [1.13-2.71]), ovarian cancer (2.23 [0.78-6.34]), and prostate cancer (2.07 [1.13-3.79]). All hazard-ratio estimates, except for ovarian cancer, were significant, with significant trends of increasing risk of death in children by degree of worsening survival outcome in parents defined in quartiles of survival (ie, good [best quartile], expected [middle two quartiles], or poor [worst quartile]). INTERPRETATION Our findings suggest that cancer-specific survival in parents predicts survival from the same cancer in their children. Consequently, data on survival in a parent might have the potential to guide treatment decisions and genetic counselling. Finally, molecular studies to highlight the genetic determinants of cancer survival are now warranted.

Is breast cancer prognosis inherited

IntroductionA genetic component is well established in the etiology of breast cancer. It is not well known, however, whether genetic traits also influence prognostic features of the malignant phenotype.MethodsWe carried out a population-based cohort study in Sweden based on the nationwide Multi-Generation Register. Among all women with breast cancer diagnosed from 1961 to 2001, 2,787 mother-daughter pairs and 831 sister pairs with breast cancer were identified; we achieved complete follow-up and classified 5-year breast cancer-specific prognosis among proband (mother or oldest sister) into tertiles as poor, intermediary, or good. We used Kaplan-Meier estimates of survival proportions and Cox models to calculate relative risks of dying from breast cancer within 5 years depending on the probands outcome.ResultsThe 5-year survival proportion among daughters whose mothers died within 5 years was 87% compared to 91% if the mother was alive (p = 0.03). Among sisters, the corresponding proportions were 70% and 88%, respectively (p = 0.001). After adjustment for potential confounders, daughters and sisters of a proband with poor prognosis had a 60% higher 5-year breast cancer mortality compared to those of a proband with good prognosis (hazard ratio [HR], 1.6; 95% confidence interval [CI], 1.2 to 2.2; p for trend 0.002). This association was slightly stronger among sisters (HR, 1.8; 95% CI, 1.0 to 3.4) than among daughters (HR, 1.6; 95% CI, 1.1 to 2.3).ConclusionBreast cancer prognosis of a woman predicts the survival in her first-degree relatives with breast cancer. Our novel findings suggest that breast cancer prognosis might be inherited.

Inactivation of FBXW7/hCDC4-β expression by promoter hypermethylation is associated with favorable prognosis in primary breast cancer

IntroductionMutational inactivation of the FBXW7/hCDC4 tumor suppressor gene (TSG) is common in many cancer types, but infrequent in breast cancers. This study investigates the presence and impact of FBXW7/hCDC4 promoter methylation in breast cancer.MethodsFBXW7/hCDC4-β expression and promoter methylation was assessed in 161 tumors from two independent breast cancer cohorts. Associations between methylation status and clinicopathologic characteristics were assessed by Fishers exact test. Survival was analyzed using the Kaplan-Meier method in addition to modeling the risk by use of a multivariate proportional hazard (Cox) model adjusting for possible confounders of survival.ResultsMethylation of the promoter and loss of mRNA expression was found both in cell lines and primary tumors (43% and 51%, respectively). Using Cox modeling, a trend was found towards decreased hazard ratio (HR) for death in women with methylation of FBXW7/hCDC4-β in both cohorts (HR 0.53 (95% CI 0.23 to 1.23) and HR 0.50 (95% CI 0.23 to 1.08), respectively), despite an association between methylation and high-grade tumors (P = 0.017). Interestingly, in subgroups of patients whose tumors are p53 mutated or lymph-node positive, promoter methylation identified patients with significantly improved survival (P = 0.048 and P = 0.017, respectively).ConclusionsWe demonstrate an alternative mechanism for inactivation of the TSG FBXW7/hCDC4, namely promoter specific methylation. Importantly, in breast cancer, methylation of FBXW7/hCDC4-β is related to favorable prognosis despite its association with poorly differentiated tumors. Future work may define whether FBXW7/hCDC4 methylation is a biomarker of the response to chemotherapy and a target for epigenetic modulation therapy.

Molecular subtype and tumor characteristics of breast cancer metastases as assessed by gene expression significantly influence patient post-relapse survival

An enhanced understanding of the biology of breast cancer metastases is needed to individualize patient management. Here, we show that tumor characteristics of breast cancer metastases significantly influence post-relapse survival, emphasizing that molecular investigation at relapse offers clinically relevant information, with the potential to improve patient management and survival.BACKGROUND We and others have recently shown that tumor characteristics are altered throughout tumor progression. These findings emphasize the need for re-examination of tumor characteristics at relapse and have led to recommendations from ESMO and the Swedish Breast Cancer group. Here, we aim to determine whether tumor characteristics and molecular subtypes in breast cancer metastases confer clinically relevant prognostic information for patients. PATIENTS AND METHODS The translational aspect of the Swedish multicenter randomized trial called TEX included 111 patients with at least one biopsy from a morphologically confirmed locoregional or distant breast cancer metastasis diagnosed from December 2002 until June 2007. All patients had detailed clinical information, complete follow-up, and metastasis gene expression information (Affymetrix array GPL10379). We assessed the previously published gene expression modules describing biological processes [proliferation, apoptosis, human epidermal receptor 2 (HER2) and estrogen (ER) signaling, tumor invasion, immune response, and angiogenesis] and pathways (Ras, MAPK, PTEN, AKT-MTOR, PI3KCA, IGF1, Src, Myc, E2F3, and β-catenin) and the intrinsic subtypes (PAM50). Furthermore, by contrasting genes expressed in the metastases in relation to survival, we derived a poor metastasis survival signature. RESULTS A significant reduction in post-relapse breast cancer-specific survival was associated with low-ER receptor signaling and apoptosis gene module scores, and high AKT-MTOR, Ras, and β-catenin module scores. Similarly, intrinsic subtyping of the metastases provided statistically significant post-relapse survival information with the worst survival outcome in the basal-like [hazard ratio (HR) 3.7; 95% confidence interval (CI) 1.3-10.9] and HER2-enriched (HR 4.4; 95% CI 1.5-12.8) subtypes compared with the luminal A subtype. Overall, 25% of the metastases were basal-like, 32% HER2-enriched, 10% luminal A, 28% luminal B, and 5% normal-like. CONCLUSIONS We show that tumor characteristics and molecular subtypes of breast cancer metastases significantly influence post-relapse patient survival, emphasizing that molecular investigations at relapse provide prognostic and clinically relevant information. CLINICALTRIALS.GOV: This is the translational part of the Swedish multicenter and randomized trial TEX, clinicaltrials.gov identifier nct01433614 (http://www.clinicaltrials.gov/ct2/show/nct01433614).

Endothelial ALK1 Is a Therapeutic Target to Block Metastatic Dissemination of Breast Cancer

Exploration of new strategies for the prevention of breast cancer metastasis is justifiably at the center of clinical attention. In this study, we combined a computational biology approach with mechanism-based preclinical trials to identify inhibitors of activin-like receptor kinase (ALK) 1 as effective agents for blocking angiogenesis and metastasis in breast cancer. Pharmacologic targeting of ALK1 provided long-term therapeutic benefit in mouse models of mammary carcinoma, accompanied by strikingly reduced metastatic colonization as a monotherapy or part of combinations with chemotherapy. Gene-expression analysis of breast cancer specimens from a population-based nested case-control study encompassing 768 subjects defined endothelial expression of ALK1 as an independent and highly specific prognostic factor for metastatic manifestation, a finding that was corroborated in an independent clinical cohort. Overall, our results suggest that pharmacologic inhibition of endothelial ALK1 constitutes a tractable strategy for interfering with metastatic dissemination of breast cancer.

Breast Cancer Onset in Twins and Women With Bilateral Disease

PURPOSE Little is known of the onset of breast cancer in high-risk populations. We investigated the risk of breast cancer in twin sisters and in the contralateral breast taking family history into consideration. PATIENTS AND METHODS We analyzed a Scandinavian population-based cohort of 2,499 female twin pairs, in which at least one had a diagnosis of breast cancer and estimated the risk of breast cancer in the sister. Using a total of 11 million individuals in Sweden with complete family links, we identified 93,448 women with breast cancer and estimated the risk of a bilateral breast cancer. RESULTS The incidence of breast cancer in twin sisters of breast cancer patients was 0.64% per year and 0.42% per year in mono- and dizygotic twin sisters, respectively. In comparison, the risk of familial (affected first-degree relative) and nonfamilial bilateral breast cancer was 1.03% per year and 0.68% per year, respectively. Contrary to the risk of unilateral disease, the risk of cancer in the nonaffected twin and the opposite breast was not affected by age or time since first event. The relative risk of familial bilateral cancer was 52% higher (incidence rate ratio [IRR] = 1.52; 95% CI, 1.42 to 1.64) and the relative risk in the dizygotic twin sister was 25% lower (IRR = 0.75; 95% CI, 0.61 to 0.91) compared with the risk of nonfamilial bilateral cancer. CONCLUSION The elevated risk of breast cancer in high-risk groups is little affected by age and time since diagnosis. Our findings suggest that susceptible groups of women might have already aggregated genetic prerequisites for breast cancer.

Use of Molecular Tools to Identify Patients With Indolent Breast Cancers With Ultralow Risk Over 2 Decades

Importance The frequency of cancers with indolent behavior has increased with screening. Better tools to identify indolent tumors are needed to avoid overtreatment. Objective To determine if a multigene classifier is associated with indolent behavior of invasive breast cancers in women followed for 2 decades. Design, Setting, and Participants This is a secondary analysis of a randomized clinical trial of tamoxifen vs no systemic therapy, with more than 20-year follow-up. An indolent threshold (ultralow risk) of the US Food and Drug Administration–cleared MammaPrint 70-gene expression score was established above which no breast cancer deaths occurred after 15 years in the absence of systemic therapy. Immunohistochemical markers (n = 727 women) and Agilent microarrays, for MammaPrint risk scoring (n = 652 women), were performed from formalin-fixed paraffin-embedded primary tumor blocks. Participants were postmenopausal women with clinically detected node-negative breast cancers treated with mastectomy or lumpectomy and radiation enrolled in the Stockholm tamoxifen (STO-3) trial, 1976 to 1990. Exposures After 2 years of tamoxifen vs no systemic therapy, regardless of hormone receptor status, patients without relapse who reconsented were further randomized to 3 additional years or none. Main Outcomes and Measures Breast cancer–specific survival assessed by Kaplan-Meier analyses and multivariate Cox proportional hazard modeling, adjusted for treatment, patient age, year of diagnosis, tumor size, grade, hormone receptors, and ERBB2/HER2 and Ki67 status. Results In this secondary analysis of node-negative postmenopausal women, conducted in the era before mammography screening, among the 652 women with MammaPrint scoring available (median age, 62.8 years of age), 377 (58%) and 275 (42%) were MammaPrint low and high risk, respectively, while 98 (15%) were ultralow risk. At 20 years, women with 70-gene high and low tumors but not ultralow tumors had a significantly higher risk of disease-specific death compared with ultralow-risk patients by Cox analysis (hazard ratios, 4.73 [95% CI, 1.38-16.22] and 4.54 [95% CI, 1.40-14.80], respectively). There were no deaths in the ultralow-risk tamoxifen-treated arm at 15 years, and these patients had a 20-year disease-specific survival rate of 97%, whereas for untreated patients the survival rate was 94%. Recursive partitioning identified ultralow risk as the most significant predictor of good outcome. In tumors “not ultralow risk,” tumor size greater than 2 cm was the most predictive of outcome. Conclusions and Relevance The ultralow-risk threshold of the 70-gene MammaPrint assay can identify patients whose long-term systemic risk of death from breast cancer after surgery alone is exceedingly low.

Multi-level gene expression signatures, but not binary, outperform Ki67 for the long term prognostication of breast cancer patients

Proliferation‐related gene signatures have been proposed to aid breast cancer management by providing reproducible prognostic and predictive information on a patient‐by‐patient basis. It is unclear however, whether a less demanding assessment of cell division rate (as determined in clinical setting by expression of Ki67) can function in place of gene profiling.