Search PubMedSearch

PubMed · 9154088

Future developments in radiotherapy.

Abstract

Radiotherapy has advanced rapidly during the past two decades, mainly through developments in high-voltage equipment and diagnostic methods that can better define tumor boundaries. Methods to improve the application of these developments are constantly being refined. Knowledge is increasing about treatment plans for different types of tumors, mainly concerning dosage and fractionation. Continued optimization efforts and quality improvements should be able to increase the 5-year survival rate among radiotherapy patients in Sweden, just with the application of current knowledge. Based on extrapolations from estimates concerning potential improvements in radiotherapy methods, it is estimated that an additional 10% of radiotherapy patients could be cured during the next 10 years. Since approximately 30% of all cancer patients in Sweden receive radiotherapy with curative intent, an additional 3% of the total cancer population could be treated with curative results. Naturally, these estimates involve some uncertainty. For example, a report from EU (1) estimated that an improvement in the quality of radiotherapy in Western Europe should improve survival for 5% of the cancer patients, a somewhat higher value than has been estimated for Sweden. Trials are under way to use radiosensitizing substances and new laboratory tests to further define the radiosensitivity of tumors. The result may be improved, individually-oriented radiotherapy. The combination of radiotherapy and chemotherapy has mostly shown discouraging results thus far. The combination of radiotherapy and surgery is used often and further developments can be expected. The extent to which these new developments improve therapy is, however, difficult to project.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

1996. Future developments in radiotherapy.. https://pubmed.ncbi.nlm.nih.gov/9154088/

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