Germline Sequencing of Familial and Sporadic Early-Onset Colorectal Cancer: A Novel Pattern of Genes

The majority of early-onset colorectal cancers (EOCRCs) are not substantiated by germline variants in the main CRC predisposition genes (the "DIGE" panel). To identify potentially novel EOCRC-specific predisposition genes, we analyzed 585 cancer pathway genes in an EOCRC patient cohort (n = 87, diagnosis ≤ 40 years, DIGE-), and compared their variant spectrum to the GnomAD cancer-free database. We identified high-impact variants (HVs) in 15 genes significantly over-represented in EOCRC. Among the 32 unrelated patients with a CRC family history (i.e., with a potentially dominant transmission pattern), 9 presented HVs in ten genes, four of which had a DNA repair function. We subsequently sequenced these 15 genes in a cohort of 82 late-onset CRCs (diagnosis ≥ 50 years, DIGE-) and found variants in 11 of these genes to be specific to EOCRC. We then screened these 11 genes in our patient database (n = 6482), which only contained 2% of EOCRCs (DIGE-), and identified two other EOCRC cases diagnosed after our cohort constitution, with HVs in <i>RECQL4</i> and <i>NUTM1</i>. Altogether, we found that 37.5% and 18.75% of patients carrying heterozygous <i>NUTM1</i> and <i>RECQL4</i> HVs, respectively, in our database were diagnosed with EOCRC. Our work has identified a pattern of germline variants not previously associated with EOCRC.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-05-14
DOI
https://doi.org/10.3390/ijms26104672
Primary Topic
Genetic factors in colorectal cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Germline Sequencing of Familial and Sporadic Early-Onset Colorectal Cancer: A Novel Pattern of Genes

Julien Plenecassagnes, Thomas Filleron, Janick Sèlves, Edith Chipoulet et al.
International Journal of Molecular Sciences
Genetic factors in colorectal cancer
article

Germline Sequencing of Familial and Sporadic Early-Onset Colorectal Cancer: A Novel Pattern of Genes

Julien Plenecassagnes, Thomas Filleron, Janick Sèlves, Edith Chipoulet, Bastien Cabarrou, Norbert Lignon, Julia Gilhodes, Delphine Bonnet, Nils Monselet, Pierre Vande Perre, Christine Toulas, Gaëlle Collet, Laure Gourdain, Ludovic Mallet, Maria G Santoyo Martinez, Ayman Al Saati, Rosine Guimbaud, Carine Villarzel
article en

Abstract

The majority of early-onset colorectal cancers (EOCRCs) are not substantiated by germline variants in the main CRC predisposition genes (the "DIGE" panel). To identify potentially novel EOCRC-specific predisposition genes, we analyzed 585 cancer pathway genes in an EOCRC patient cohort (n = 87, diagnosis ≤ 40 years, DIGE-), and compared their variant spectrum to the GnomAD cancer-free database. We identified high-impact variants (HVs) in 15 genes significantly over-represented in EOCRC. Among the 32 unrelated patients with a CRC family history (i.e., with a potentially dominant transmission pattern), 9 presented HVs in ten genes, four of which had a DNA repair function. We subsequently sequenced these 15 genes in a cohort of 82 late-onset CRCs (diagnosis ≥ 50 years, DIGE-) and found variants in 11 of these genes to be specific to EOCRC. We then screened these 11 genes in our patient database (n = 6482), which only contained 2% of EOCRCs (DIGE-), and identified two other EOCRC cases diagnosed after our cohort constitution, with HVs in <i>RECQL4</i> and <i>NUTM1</i>. Altogether, we found that 37.5% and 18.75% of patients carrying heterozygous <i>NUTM1</i> and <i>RECQL4</i> HVs, respectively, in our database were diagnosed with EOCRC. Our work has identified a pattern of germline variants not previously associated with EOCRC.

International Journal of Molecular SciencesVol. 26(10)
Inserm (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Centre Hospitalier Universitaire de Toulouse (FR), Centre de Recherches en Cancérologie de Toulouse (FR), Institut Claudius Regaud (FR), Clinique Pasteur (FR)
Openalex Percentile: Top 85%
Genetic factors in colorectal cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.