PubMed Health⌕ Search

PubMed · 7612488

Chronic lymphocytic leukemia: present status.

Abstract

Chronic lymphocytic leukemia (CLL) is the form of leukemia which occurs most frequently in Western countries. Its etiology is unknown, and no relationship with viruses or genes has been demonstrated. Epidemiological data suggest that genetic and ambiental factors might be of some significance. Clinical features of CLL are due to the accumulation of leukemic cells in bone marrow and lymphoid organs as well as the immune disturbances that accompany the disease. The prognosis of patients with CLL varies. Treatment is usually indicated by the risk of the individual patient, which is clearly reflected by the stage of the disease. In the early stage (Binet A, Rai O) it is reasonable to defer therapy until disease progression is observed. By contrast, because their median survival is less than five years, patients with more advanced stages require therapy. For almost 50 years, no major advances in the management of CLL, which has revolved around the use of alkylating agents, have been made. In recent years, the therapeutic approach in patients with CLL has changed as a result of the introduction of combination chemotherapy regimens and, in particular, purine analogues. The latter are already the treatment of choice for patients not responding to standard therapies, and their role as front-line therapy is being investigated. Bone marrow transplants are also being increasingly used. It is to be hoped that in years to come the outcome of patients with CLL will be improved by these advances.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

E Montserrat, C Rozman. 1995. Chronic lymphocytic leukemia: present status.. https://doi.org/10.1093/oxfordjournals.annonc.a059151

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↗