Intron Loss, a well-known event in species evolution, has not previously been described as a somatic alteration in human cancer. This study presents the first systematic characterization of somatic intron loss using targeted next-generation sequencing...
Intron Loss, a well-known event in species evolution, has not previously been described as a somatic alteration in human cancer. This study presents the first systematic characterization of somatic intron loss using targeted next-generation sequencing (NGS) data. A total or 6,784 tumor samples across 30 cancer types were analyzed, encompassing 188 shared genes. The dataset consisted of three independent cohorts. To detect intron loss events, a novel computational pipeline was developed, leveraging split- read signatures as the key indicator of intronic deletions.
Somatic intron loss was identified in 173 samples (2.6%), with nearly one-third of analyzed genes affected. Among them, TOP2A and GNAS together accounted for almost half of all detected events. Most intron loss regions were located the 3’-end of genes or within central protein kinase domains, suggesting potential biological selection. In lung cancer, intron loss was notably enriched in tumors lacking canonical driver mutations, indicating a possible alternative oncogenic biomarker. ‘
The analytical pipeline was validated using two independent cohorts: a colorectal cancer dataset and a circulating tumor DNA (ctDNA) corhot from patients with metastatic non-small cell lung cancer. In the ctDNA dataset, intron loss was detected even in cases previously classified as mutation-negative, highlighting its diagnostic potential as a complementary biomarker.
Collectively, these findings establish somatic intron loss as a new class of structural alteration in human cancer. This work not only expands the current framework of structural variant interpretation but also provides new insight into genomic plasticity of driver-negative tumors, suggesting that intron loss may act as a functional and clinically relevant oncogenic event.