Shallow whole-genome sequencing genomic instability score across endometrial cancer subtypes.

I Ignacio Romero R Raquel López-Reig A Antonio Fernandez Serra (Laboratory of Molecular Biology, Fundación Instituto Valenciano de Oncología (IVO), Valencia, Spain) T Tatiana Ugalde Catarinella (Medical Oncology Department, Hospital Fundación IVO (Instituto Valenciano de Oncología), Valencia, Spain) J Jessica Aliaga C Cristina Diaz Sierra (Instituto Valenciano de Oncología (IVO), Valencia, Spain) J Jose Antonio Lopez Guerrero (Laboratory of Molecular Biology, Fundación Instituto Valenciano de Oncología (IVO), Valencia, Spain)

Abstract

e17632 Background: Genomic instability (GI) is a hallmark of cancer. In endometrial cancer (EC) the TCGA molecular classification is prognostic. GI scores (GIS) are widely studied and clinically validated in high grade serous ovarian cancer (HGSOC). The distribution and biological significance of GIS scores in EC remain unclear. We aimed to characterize and explore GI across EC subtypes using shallow whole-genome sequencing. Methods: Up to 96 prospective FFPE EC samples were included, mainly presenting endometrioid (72 %), and serous histologies (14.5 %). The remaining 13.5 % include clear cell and mixed histologies. Stage was categorized as follows: I/II (66.7 %) and III/IV (33.3 %). Cases without primary surgery were excluded from survival analysis. Molecular classification frequencies were CNH (22.9%), CNL (39.6 %), MSI-H (30.2 %) and POLE (7.3 %). Libraries were constructed using HyperPlus kit (Roche diagnostics) and sequenced in a NextSeq 2000 (2x100 paired-end) (Illumina) to achieve a 0.5x coverage. Copy-number (CN) calling and GIS were obtained using QDNA and ShallowHRD. Data were further compared with our own GIS in 60 HGSOC (Romero, I ASCO 2025). All the analyses were performed in Python v3.8 and R v.4.3.11. Results: Basic clinical characteristics and sequencing performance parameters are detailed in table 1. In EC, GIS decreasingly ranged from CNH, CNL, MSI-H to POLE (Table 1) showed statistically significant differences between CNH and the rest of molecular subtypes (p=0.00027). Higher GIS also correlated with serous histology (p=4.6*10 -5 ) and worse PFS (P=0.0062). GIS showed consistently lower values in EC than HGSOC (table 1, p<2*10 -16 ). Among CNH group, highest GIS values (q4) had worse PFS and OS (both p=0.05). CN at chromosomic level were evaluated: amplifications in chromosome 1 and 10 were enriched in MSI-H (p=0.0002) and CNL (p=0.0277) groups respectively. Chromosome 1 CN was correlated with endometrioid histology (p=0.007851). Conclusions: Shallow whole-genome sequencing is a valuable approach to characterize GI across EC populations. However, additional GI parameters should be explored to better understand the nature and possible biological sources of GI in EC. Main clinical and sequencing performance parameters of the EC series. Parameter Median [range] Age at diagnosis (years) 62 [40-89] Progression-Free Survival (PFS, months) 17.33 [0-158.367] Overall Survival (PFS, months) 19.55 [0-186.667] Follow-up (months) 19.55 [0-186.667] Total reads 21740865.5 [1169173-347460678] Whole-genome coverage 0.642 [0.024-10.366] Targeted-sequence coverage 2.111 [1.814-208.054] Genome covered (%) 30.519 [0.012-89.132] Genomic Instability Score (GIS) CNH 5 [0-42] CNL 0 [0-14] MSI-H 0 [0-5] POLE 0 [0-2] CE-GIS 1 [0-42] HGSOC-GIS 20 [1-43]

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (7)

I

Ignacio Romero

R

Raquel López-Reig

A

Antonio Fernandez Serra

Laboratory of Molecular Biology, Fundación Instituto Valenciano de Oncología (IVO), Valencia, Spain

T

Tatiana Ugalde Catarinella

Medical Oncology Department, Hospital Fundación IVO (Instituto Valenciano de Oncología), Valencia, Spain

J

Jessica Aliaga

C

Cristina Diaz Sierra

Instituto Valenciano de Oncología (IVO), Valencia, Spain

J

Jose Antonio Lopez Guerrero

Laboratory of Molecular Biology, Fundación Instituto Valenciano de Oncología (IVO), Valencia, Spain