Assessment of prognostic scores in brain metastases from breast cancer.
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ABSTRACT: Background
Breast cancer (BC) is the second most common cause of brain metastases (BM). Optimal management of BM from BC is still debated. In an attempt to provide appropriate treatment and to assist with optimal patient selection, several specific prognostic classifications for BM from BC have been established. We evaluated the prognostic value and validity of the 6 proposed scoring systems in an independent population of BC patients with BM.Methods
We retrospectively reviewed all consecutive BC patients referred to our institution for newly diagnosed BM between October 1995 and July 2011 (n = 149). Each of the 6 scores proposed for BM from BC (Sperduto, Niwinska, Park, Nieder, Le Scodan, and Claude) was applied to this population. The discriminative ability of each score was assessed using the Brier score and the C-index. Individual prognostic values of clinical and histological factors were analyzed using uni- and multivariate analyses.Results
Median overall survival was 15.1 months (95% CI,11.5-18.7). Sperduto-GPA (P < .001), Nieder (P < .001), Park (P < .001), Claude (P < .001), Niwinska (P < .001), and Le Scodan (P = .034) scores all showed significant prognostic value. The Nieder score showed the best discriminative ability (C-index, 0.672; Brier score error reduction, 16.1%).Conclusion
The majority of prognostic scores were relevant for patients with BM from BC in our independent population, and the Nieder score seems to present the best predictive value but showed a relatively low positive predictive value. Thus, these results remain insufficient and challenge the routine use of these scoring systems.
SUBMITTER: Tabouret E
PROVIDER: S-EPMC3922513 | biostudies-literature | 2014 Mar
REPOSITORIES: biostudies-literature
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Project description:BackgroundBrain metastases (BM) are common among HER2+ breast cancer (BC) and prognostic stratification is crucial for optimal management. BC-GPA score and subsequent refinements (modified-GPA, updated-GPA) recapitulate prognostic factors. Since none of these indexes includes extracranial disease control, we evaluated its prognostic value in HER2+ BCBM.MethodsPatients diagnosed with HER2+ BCBM at Istituto Oncologico Veneto-Padova (2002-2021) and Montpellier Cancer Institute (2001-2015) were included as exploratory and validation cohorts, respectively. Extracranial disease control at BM diagnosis (no disease/stable disease/response vs. progressive disease) was evaluated.ResultsIn the exploratory cohort of 113 patients (median OS 12.2 months), extracranial control (n = 65, 57.5%) was significantly associated with better OS at univariate (median OS 17.7 vs. 8.7 months, p = 0.005) and multivariate analysis after adjustment for BC-GPA (HR 0.61, 95% CI 0.39-0.94), modified-GPA (HR 0.64, 95% CI 0.42-0.98) and updated-GPA (HR 0.63, 95% CI 0.41-0.98). The prognostic impact of extracranial disease control (n = 66, 56.4%) was then confirmed in the validation cohort (n = 117) at univariate (median OS 20.2 vs. 9.1 months, p < 0.001) and multivariate analysis adjusting for BC-GPA (HR 0.41, 95% CI 0.27-0.61), modified-GPA (HR 0.44, 95% CI 0.29-0.67) and updated-GPA (HR 0.42, 95% CI 0.28-0.63).ConclusionsExtracranial disease control provides independent prognostic information in HER2+ BCBM beyond commonly used prognostic scores.
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Project description:PurposeThe prognosis of breast cancer (BC) patients who develop into brain metastases (BMs) is very poor. Thus, it is of great significance to explore the etiology of BMs in BC and identify the key genes involved in this process to improve the survival of BC patients with BMs.Patients and methodsThe gene expression data and the clinical information of BC patients were downloaded from TCGA and GEO database. Differentially expressed genes (DEGs) in TCGA-BRCA and GSE12276 were overlapped to find differentially expressed metastatic genes (DEMGs). The protein-protein interaction (PPI) network of DEMGs was constructed via STRING database. ClusterProfiler R package was applied to perform the gene ontology (GO) enrichment analysis of DEMGs. The univariate Cox regression analysis and the Kaplan-Meier (K-M) curves were plotted to screen DEMGs associated with the overall survival and the metastatic recurrence survival, which were identified as the key genes associated with the BMs in BC. The immune infiltration and the expressions of immune checkpoints for BC patients with brain relapses and BC patients with other relapses were analyzed respectively. The correlations among the expressions of key genes and the differently infiltrated immune cells or the differentially expressed immune checkpoints were calculated. The gene set enrichment analysis (GSEA) of each key gene was conducted to investigate the potential mechanisms of key genes involved in BC patients with BMs. Moreover, CTD database was used to predict the drug-gene interaction network of key genes.ResultsA total of 154 DEGs were identified in BC patients at M0 and M1 in TCGA database. A total of 667 DEGs were identified in BC patients with brain relapses and with other relapses. By overlapping these DEGs, 17 DEMGs were identified, which were enriched in the cell proliferation related biological processes and the immune related molecular functions. The univariate Cox regression analysis and the Kaplan-Meier curves revealed that CXCL9 and GPR171 were closely associated with the overall survival and the metastatic recurrence survival and were identified as key genes associated with BMs in BC. The analyses of immune infiltration and immune checkpoint expressions showed that there was a significant difference of the immune microenvironment between brain relapses and other relapses in BC. GSEA indicated that CXCL9 and GPR171 may regulate BMs in BC via the immune-related pathways.ConclusionOur study identified the key genes associated with BMs in BC patients and explore the underlying mechanisms involved in the etiology of BMs in BC. These findings may provide a promising approach for the treatments of BC patients with BMs.
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Project description:Approximately 10% to 15% of women with metastatic breast cancer will develop brain metastases. Treatment options for these women remain limited, particularly at the time of central nervous system (CNS) relapse following completion of initial CNS-directed therapy. Historically, prior studies have broadly examined systemic treatments for breast cancer brain metastases with mixed, but overall disappointing, results. More recently, studies have increasingly selected patients based on breast cancer subtype and have examined novel, targeted agents that have preclinical suggestion of blood-brain barrier penetration. Correlative science objectives, with both tissue-based and novel imaging endpoints, are more frequently incorporated into trials of this nature, with the goal of enhancing our understanding of possible predictors of response. This review summarizes the current and emerging data on systemic therapy for breast cancer brain metastases and provides a framework for future directions in treating this clinically-challenging entity.
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Project description:BackgroundTumor-infiltrating lymphocytes (TILs) evaluated in primary breast cancer (BC) convey prognostic information. Limited data in the metastatic setting are available.MethodsSecondary lesions from 94 BC patients, 43 triple-negative (TN) and 51 HER2-positive, were evaluated for TILs and expression of CD8, FOXP3, and PD-L1 by immunohistochemistry.ResultsTILs levels on metastasis were generally low (median 5%) and did not differ between TN and HER2+ tumors. Younger patients showed significantly lower TILs (p = 0.002). In HER2+ patients, TILs were higher in lung metastases as compared to other sites (p = 0.038). TILs composition was different across metastatic sites: skin metastases presented higher FOXP3 (p = 0.002) and lower CD8/FOXP3 ratio (p = 0.032). Patients treated for metastatic BC prior to biopsy had lower CD8 (overall: p = 0.005, HER2+: p = 0.011, TN: p = 0.075). In TN patients, median overall survival (OS) was 11.8 and 62.9 months for patients with low and high TILs, respectively (HR 0.29, 95%CI 0.11-0.76, log-rank p = 0.008). CD8/FOXP3 ratio was also prognostic in TN patients (median OS 8.0, 13.2, and 54.0 months in 1st, 2nd and 3th tertile, log-rank p = 0.019). Both TILs and CD8/FOXP3 ratio were independent factors at multivariate analysis. Counterintuitively, in HER2+ BC, low TILs tumors showed better prognosis (median OS 53.7 vs 39.9 months in TILs low and TILs high, not statistically significant).ConclusionsOur findings indicate the relevance of TILs as prognostic biomarker for TNBC even in the advanced setting and provide novel hypothesis-generating data on potential sources of immune heterogeneity of metastatic BC.
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