Search PubMedSearch

PubMed · 41917266

Rare solid tumours as indicators of hereditary cancer syndromes.

Abstract

Rare tumours are variously defined but usually affect not more than 1 in 100000 people. They can be present at birth, in childhood or later in life. The diagnosis of a rare tumour can sometimes point to an underlying hereditary condition, and one should take into account important considerations that can increase suspicion of a genetic cause of the disease. While some rare neoplasms are highly specific of a hereditary tumour susceptibility syndrome (and can be almost pathognomonic), thus prompting a direct genetic evaluation, most rare neoplasms may appear within the context of multi-tumour susceptibility syndromes, and here they add important weight to the global assessment when considering a genetic referral. Despite their low frequency, novel associations between rare neoplasms and hereditary conditions continue to emerge, although a solid association is often lacking. On the contrary, some infrequent tumours are nearly always non-hereditary (sporadic) in nature. Of note, the definition of rare tumours should be age-adjusted as paediatric tumours are by definition rare when compared with adult tumours in absolute terms. Therefore, in this review, in the paediatric section, we focus on tumours that occur rarely in childhood. This can include cancers that typically occur in adults, but in this case, it appears in a child. Both situations are a strong indication for genetic testing. In this review, we described different scenarios in which rare neoplasms can serve as indications (or not) for an underlying inherited cancer susceptibility.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Barbara Rivera, Giovana Tardin Torrezan, Carla Roca, Catherine Goudie, William D Foulkes. 2026-03-31. Rare solid tumours as indicators of hereditary cancer syndromes.. https://doi.org/10.1038/s41431-026-02091-0

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