Project description:Approximately half of women diagnosed with advanced triple negative breast cancer (TNBC) will develop brain metastases, of which the majority will have uncontrolled extracranial disease. While local therapies to treat brain metastases are standardly prescribed, survival remains less than 6 months. This phase II, multi-center trial evaluated efficacy of irinotecan and iniparib, anti-cancer agents with activity in TNBC and known to cross the blood brain barrier, among 34 patients with new or progressive TNBC brain metastases. While time to progression was short (2.1 months), 27% of patients experienced intracranial clinical benefit and therapy was well-tolerated. Correlative studies illustrate partial response was associated with germline BRCA mutation status and high tumor expression of proliferation genes and signatures. To our knowledge, this is the first study showing feasibility of enrolling patients with progressive TNBC brain metastases to a systemic therapy and lays the groundwork for future studies to treat this devastating disease.
Project description:Non-small cell lung cancer (NSCLC) exhibits the highest rates of brain metastases (BM) among all solid tumors and presents a significant clinical challenge. The development of novel therapeutic strategies targeting BM is clearly needed. We performed RNA sequencing on primary lung adenocarcinoma (LUAD) and matched brain metastases (BM) cases. Additionally, we performed RNA sequencing on MET amplified and non-MET amplified LUAD BM to evaluate transcriptomic differences in these molecular subsets.
Project description:Introduction: The incidence of brain metastases in cancer patients is increasing, with lung and breast cancer being the most common sources. Despite advancements in targeted therapies, the prognosis remains poor, highlighting the importance to investigate the underlying mechanisms in brain metastases. The aim of this study was to investigate the differences in the molecular mechanisms involved in brain metastasis of breast and lung cancers. In addition, we aimed to identify cancer lineage-specific druggable targets in the brain metastasis. Methods: To that aim, a cohort of 44 FFPE tissue samples, including 22 breast cancer and 22 lung adenocarcinoma (LUAD) and their matched-paired brain metastases were collected. Targeted gene expression profiles of primary tumors were compared to their matched-paired brain metastases samples using nCounter PanCancer IO 360™ Panel of NanoString technologies. Pathway analysis was performed using gene set analysis (GSA) and gene set enrichment analysis (GSEA). The validation was performed by using Immunohistochemistry (IHC) to confirm the expression of immune checkpoint inhibitors. Results: Our results revealed the significant upregulation of cancer-related genes in primary tumors compared to their matched-paired brain metastases (adj. p ≤ 0.05). We found that upregulated differentially expressed genes in breast cancer brain metastasis (BM-BC) and brain metastasis from lung adenocarcinoma (BM-LUAD) were associated with the metabolic stress pathway, particularly related to the glycolysis. Additionally, we found that the upregulated genes in BM-BC and BM-LUAD played roles in immune response regulation, tumor growth, and proliferation. Importantly, we identified high expression of the immune checkpoint VTCN1 in BM-BC, and VISTA, IDO1, NT5E, and HDAC3 in BM-LUAD. Validation using immunohistochemistry further supported these findings. Conclusion: In conclusion, the findings highlight the significance of using matched-paired samples to identify cancer lineage-specific therapies that may improve brain metastasis patients outcomes.
Project description:Experiment: Expression profiling in breast cancer brain metastases (BC) compared to breast cancers (BC) and primary brain tumors (prBT). The objectives are to identify expression profiles that are specific to BCBM in order to identify new molecular biomarkers. The characterization of the BCBM samples included adjacent genetic techniques.
Project description:Sixteen paired matched samples from primary breast cancers and brain metastases diagnosed between April 1, 2001 and December 31, 2012 were collected from 8 institutions. Brain metastases were identified based on magnetic resonance imaging and/or computed tomography findings. The clinical characteristics of all the patients were obtained from their medical records. This study was approved by the institutional review board of each participating institute (Tokai University School of Medicine; National Hospital Organization Osaka National Hospital; Kinki University School of Medicine; Niigata Cancer Center Hospital; Shizuoka General Hospital; Hokkaido Cancer Center; National Hospital Organization, Tokyo Medical Center; and Gunma Prefectural Cancer Center). Matching primary breast cancers and brain metastases Formalin-Fixed Paraffin-Embedded (FFPE) specimens for gene expression analysis were collected into RNA. RNA from specimens was isolated, and quantity and quality of the each RNA was using an Agilent 2100 Bioanalyzer (Agilent Technologies). Genome-wide expression levels of transcripts were analyzed using the Affymetrix U133A gene chips (Affymetrix) according to the manufacture’s instructions.
Project description:Triple negative breast cancer (TNBC) lacks expression of steroid hormone receptors (estrogen alpha and progesterone) and epidermal growth factor receptor type 2. This phenotype shows high metastatic potential, with particular predilection to lungs and brain. Determination of transcriptomic profiles specific for brain metastasis (BM)-prone TNBC might identify high-risk patients requiring the use of alternative, more aggressive or specific preventive and therapeutic approaches. The aim of the study was to compare the gene expression profile in the primary tumor of patients who developed brain metastases in comparison to these who were metastatic to other organs (excluding central nervous system) in an attempt to verify, whether there exist a significant difference in the transcriptome of these two subgroups.
Project description:The distinction between primary and secondary ovarian tumors may be challenging for pathologists. We performed transcriptomic analysis in order to discriminate between primary ovarian tumors and ovarian metastases after primary breast cancer. We performed genomic analysis on tumor paired samples (breast/ovary) in order to know if genomic profiles could help for the discrimination of primary ovarian tumors and ovarian metastases after primary breast cancer.
Project description:<p>Metastatic breast tumors must adapt to the metabolic constraints of their target tissues. To understand how tumor metabolism varies across sites, we compared glucose utilization in primary mammary fat pad (MFP) tumors and brain metastases derived from the breast cancer cell line MDA-MB-231. Tumors in each site displayed distinct patterns of metabolite labeling, reflecting differences in nutrient availability and biosynthetic activity. Brain tumors exhibited higher labeling of amino acids and TCA cycle intermediates, consistent with increased synthesis to overcome restricted nutrient access in the brain, whereas MFP tumors showed greater nucleotide synthesis activity. These findings illustrate how the tumor microenvironment shapes metabolic adaptation and highlight the flexible strategies cancer cells use to maintain growth in diverse tissues.</p>
Project description:Melanoma is one of the most aggressive and treatment-resistant cancers. It represents the most life-threatening neoplasm of the skin, and its incidence has been increasing for the last three decades. Melanoma evolves from the local transformation of melanocytes to primary tumors, which can metastasize to multiple organs. Brain metastases represent one of the most significant causes of death in cutaneous melanoma patients. Despite aggressive multi-modality threapy, patients with melanoma brain metastasis have a median survival of less than a year, with a majority of these patients dying as a result of their intracranial disease. To identify alterations in gene expression related to brain metastasis, we used Affymetrix expression arrays to assess differentially expressed genes in melanocytes, lymph node metastases, and brain metastases.