Evidence map›Paper›PMID 42191776›Full record

ArticleScientific reports2026

Whole genome sequencing of pre-treatment and post-treatment locally advanced rectal cancer using long and short read technologies.

Lauren McAuley, Lydia O'Sullivan, Liam Grogan, Adrian Murphy, Christina Skourou, Brendan Curran, Deborah McNamara, Joanna Fay, Brian O'Neill, Bryan T Hennessy and 2 more

Abstract readCase Reports
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Lauren McAuleyGenomic Oncology Research Group, Department of Physiology and Medical Physics, RCSI University of Medicine and Health Sciences, Dublin 2, Ireland.
Lydia O'SullivanSt Luke's Radiation Oncology Network, Dublin, Ireland.
Liam GroganDepartment of Medical Oncology, Beaumont Hospital, Dublin, Ireland.
Adrian MurphyDepartment of Medical Oncology, Beaumont Hospital, Dublin, Ireland.
Christina SkourouSt Luke's Radiation Oncology Network, Dublin, Ireland.
Brendan CurranSt Luke's Radiation Oncology Network, Dublin, Ireland.
Deborah McNamaraDepartment of Surgery, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Joanna FayDepartment of Pathology, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Brian O'NeillSt Luke's Radiation Oncology Network, Dublin, Ireland.
Bryan T HennessyDepartment of Medical Oncology, Beaumont Hospital, Dublin, Ireland.
Sinead Toomey *Department of Medicine, RCSI University of Medicine and Health Sciences, Dublin, Ireland.
Simon J Furney *Genomic Oncology Research Group, Department of Physiology and Medical Physics, RCSI University of Medicine and Health Sciences, Dublin 2, Ireland. simonfurney@rcsi.ie.

Funding

Research Ireland 18/CRT/6214
6 · The paper itself

Abstract

We performed a pilot study in which Illumina (ILMN) and nanopore (ONT) whole genome sequencing (WGS) was generated for samples obtained from a 37-year-old patient with locally advanced rectal cancer who did not respond to neoadjuvant chemoradiotherapy (nCRT). Pre-treatment and post-treatment tumour biopsy, adjacent normal tissue, and matched pre-treatment blood samples were sequenced to identify somatic alterations. We used DNA methylation from ONT WGS to detect changes in the tumour epigenomes compared to adjacent normal tissue. We employed established pipelines for the identification of somatic alterations to assess the concordance of SNV, short indel, copy number and structural variation from the short-read and long-read tumour genome data. Overall, 69.4% and 30.1% of SNVs were concordant between technologies in the pre-and post-treatment tumours, respectively. A multinomial logistic regression was performed to further understand discordant SNV calls, highlighting tumour purity, presence in a repetitive region, strand bias, and germline variant allele frequency as factors contributing to discordance. Indel concordance was poor (26.8% and 9.2% in the pre-and post-treatment tumour, respectively). Copy number alteration profiles were highly similar while minimal concordance was reported for structural variants (2.4% and 0.3% for pre-and post-treatment tumours, respectively). Finally, we used the ONT data to detect DNA modifications (5-methylcytosine and 5-hydroxymethylcytosine) between tumour and matched adjacent normal tissue. Based on genome-wide average CpG modification rates, global hypomethylation was observed in tumours compared to adjacent normal tissues. Biologically relevant epigenomic changes related to epithelial-mesenchymal transition were detected in the post-treatment tumour, as well as potential radiation-induced changes in the post-treatment adjacent normal tissue.

Indexed as

Rectal NeoplasmsWhole Genome SequencingAdultDNA Copy Number VariationsDNA MethylationHumansMalePilot Projects

Identifiers

PMID42191776
PMCPMC13473079

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.