PubMed Health⌕ Search

PubMed · 15710262

[Giant retroperitoneal liposarcoma. One case report].

Abstract

INTRODUCTION: Retroperitoneal Liposarcoma is a rare and primary malignancy developed from mesenchymal tissue. It's generally unique and shows an only one histologic component. We report a case of multicentric and synchronous liposarcoma (intraperitoneal and retroperitoneal) and with different histologic types. EXEGESES: A 53-year old man presented with abdominal pain, increased abdominal girth and weight loss. Physical examination revealed two abdominal masses. Computed tomography scan showed a very large retroperitoneal mass displacing the left kidney, digestive loops and vessels. The patient underwent surgery. One enormous mass of the left renal lodge measuring 50 cm, a retroduodenal mass measuring 15 cm and a nodule of the coecum were removed. Histological examination of the mass of the left renal lodge revealed mixed type liposarcoma (dedifferentiated and myxoid). Histological examination of the retroduodenal mass and of the nodule of the coecum revealed well-differentiated liposarcoma. CONCLUSION: Pathological, therapeutic and prognostic aspects of abdominal liposarcoma will be reviewed in this article.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

N Maàmouri, I Cheikh, H Ouerghi, A Oukaà, N Belkahla, E Mnif, M Hechiche, M Driss, A Ben Ammar. 2005. [Giant retroperitoneal liposarcoma. One case report].. https://doi.org/10.1016/j.revmed.2004.10.029

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗