Project description:Assessment of mesenteric fibrosis (MF) presence and severity in small-intestinal neuroendocrine tumors (SI-NETs) remains a diagnostic challenge. To explore possible biomarkers for MF presence, a proteomic analysis was performed of the tumor and stroma compartment of primary SI-NETs and paired mesenteric metastasis.
Project description:To investigate the molecular mechanisms of pancreatic cancer metastasis, we performed proteomic profiling on clinical samples from metastatic and non-metastatic primary tumors. This approach aims to identify key drivers of tumor progression.
Project description:Solid tumors are complex organs comprising neoplastic cells and stroma, yet cancer cell lines remain widely used to study tumor biology, biomarkers and experimental therapy. Here, we performed a fully integrative analysis of global proteomic data comparing human colorectal cancer (CRC) cell lines to primary tumors and normal tissues. We found a significant, systematic difference between cell line and tumor proteomes, with a major contribution from tumor stroma proteomes. Nevertheless, cell lines overall mirrored the proteomic differences observed between tumors and normal tissues, in particular for genetic information processing and metabolic pathways, indicating that cell lines provide a system for the study of the intrinsic molecular programs in cancer cells. Intersection of cell line data with tumor data provided insights into tumor cell specific proteome alterations driven by genomic alterations. Our integration of cell line proteogenomic data with drug sensitivity data highlights the potential of proteomic data in predicting therapeutic response. We identified representative cell lines for the proteomic subtypes of primary tumors, and linked these to drug sensitivity data to identify subtype-specific drug candidates.
Project description:Somatic copy number alterations of 17 paired tumor and metastasis tissue samples were measured by Agilent array-based comparative genomic hybridization (CGH). Seven colon adenocarcinomas with paired liver metastasis and 10 liver carcinoma with metastasis to the lymph node, adrenal gland or lung were analyzed.
Project description:Metabolic rewiring is essential for breast tumor growth and progression to metastatic disease, yet little is known regarding how cancer cells modify their acquired metabolic programs in response to different metastatic microenvironments. Transcriptional and metabolomic analysis have previously shown that liver-metastatic breast cancer cells adopt an intrinsic metabolic profile characterized by increased HIF-1α activity and dependence on glycolysis. Stable isotope tracing analysis (SITA) performed in vivo confirmed that the glycolytic nature of liver-metastatic breast cancer cells is retained when these cells are grown as primary tumors or as liver metastases. However, our data also reveal that unique metabolic adaptations are specifically induced by the liver microenvironment. Indeed, liver metastases display elevated expression of genes involved in glutathione (GSH) biosynthesis and reactive oxygen species (ROS) detoxification when compared to primary tumors. Moreover, breast cancer liver metastases rely strongly on glucose and glutamine-derived carbons to support de novo GSH synthesis. Glutathione is a tripeptide that acts as a major scavenger for reactive oxygen species (ROS). Liver metastases display reduced levels of 8-Oxo-2'-deoxyguanosine, confirming their increased capacity to buffer ROS. We demonstrated the dependence of liver metastases formation on these distinct metabolic adaptations by depleting glutamate-cysteine ligase (Gcl), the rate-limiting enzyme in glutathione biosynthesis. Gcl depletion, and decreased GSH levels, strongly reduced the capacity of liver-metastatic cells to form distant metastasis within the liver. We performed gene expression analysis of liver metastasis and primary tumors from liver-metastatic breast cancer cells derived from 4T1 cells. 4T1-2776 (76) and 4T1-2792 (92) cells were injected in the mammary fat pads of BALB/c and grown as primary tumors or were grown as liver metastasis after splenic injection. Tissues were harvested from primary tumors and liver metastasis and submitted to laser-capture microdissection (LCM). For liver metastasis, tumour tissue was harvested at 10 days, 2 weeks and 3 weeks after splenic injection. For each time point, tissue was isolated from the tumor centre (core), a peripheral area of the tumor (margin), a region of the liver proximal to the tumor (adjacent) and a region of the liver far from the tumor (distant). For primary tumors from 4T1-2776 cells (1034, 1036, 1043) and 4T1-2792 (MFP2L, MFP3L, MFP5L) tissue was collected from the tumor core and margin, at the experimental endpoint.
Project description:Integrative analysis of global RNASeq and proteomic data comparing human colorectal cancer (CRC) cell lines to primary tumors and normal tissues.
Project description:Breast cancer in women <40, accounting for ~5% of all breast cancer cases diagnosed in the U.S., is more aggressive and associated with worse outcomes compared to breast cancer in older women. We performed a first-ever integrated proteogenomic study from a matched cohort of laser-microdissected tumors of 34 young (<40 years) and 34 older (≥60 years) women to identify molecular features that may underlie the worse outcomes in young women. Progression-free interval was shorter in young women, and their tumors were enriched for more aggressive molecular subtypes. Our multi-omic analysis identified distinct clusters in luminal, but not basal-like cancers between age groups. Notably, GATA3 mutations were enriched in luminal tumors from young women, while TP53 and PIK3CA mutations more common in luminal tumors from older women. Young women’s tumors exhibited lower estrogen receptor (ER) expression yet paradoxically enhanced ER response pathways and increased expression of tamoxifen-resistance-associated genes (IRS1, FERMT1). Immune pathway activity and immune scores were lower in tumors from young women, whereas proliferative and MYC pathways were notably elevated, identifying potential therapeutic targets. Transcriptomic data from TCGA and METABRIC confirmed our findings, with 10 of 11 observed pathways corroborated. Finally, differential expression of four immune-related surface proteins also suggested potential age-specific responses of immune-based therapies. Together, these findings may contribute to the understanding of the molecular mechanisms underlying worse outcomes in young women, and offer new insight to therapeutic strategies.
Project description:Brain tumors are the leading cause of cancer-related deaths in children, and medulloblastoma is the most prevalent malignant childhood/pediatric brain tumor. Providing effective treatment for these cancers, with minimal damage to the still-developing brain, remains one of the greatest challenges faced by clinicians. Understanding the diverse events driving tumor formation, maintenance, progression, and recurrence is necessary for identifying novel targeted therapeutics and improving survival of patients with this disease. Genomic copy number alteration data, together with clinical studies, identifies c-MYC amplification as an important risk factor associated with the most aggressive forms of medulloblastoma with marked metastatic potential. Yet despite this, very little is known regarding the impact of such genomic abnormalities upon the functional biology of the tumor cell. We discuss here how recent advances in quantitative proteomic techniques are now providing new insights into the functional biology of these aggressive tumors, as illustrated by the use of proteomics to bridge the gap between the genotype and phenotype in the case of c-MYC-amplified/associated medulloblastoma. These integrated proteogenomic approaches now provide a new platform for understanding cancer biology by providing a functional context to frame genomic abnormalities.
Project description:To define the molecular underpinning of bone metastasis in pan-cancer, we performed high-throughput transcriptome sequencing (RNA-seq) using total RNA from veterbral metatases of LUAD, BRCA, PRAD, SCRA, LIHC, SKCM, THYM, etc. tissues. Afterwards, expression profile were used for further analysis.