Abstract 2320: Assessing endometrial cancer etiology by histologic subgroups

Abstract Introduction: Endometrial cancer incidence has increased substantially in the past two decades, with the increases occurring primarily in tumors of non-endometrioid histology, which have a poor prognosis. Evidence regarding the origin(s) of the increase is sparse. We sought to determine whether women who had particular molecular signatures of endogenous and exogenous exposures had an increased risk of non-endometrioid histology, particularly serous tumors. Methods: We investigated single-base substitution (SBS) signatures in exome sequencing data from The Cancer Genome Atlas (TCGA). Standard algorithms for mutational signature assessment were applied. Signatures were evaluated on a continuous scale, and also using a high/low cut point determined by maximally selected rank statistics. Relative risks (RR) and 95% confidence intervals (CI) were computed for 49 signatures, comparing risk for serous in relation to endometrioid histology. Disease-specific survival (DSS) was also evaluated in Cox proportional hazard models, with calculation of hazard ratios (HR) and 95% CI. The proportional hazards assumption was verified by Schoenfeld residuals. All analyses were adjusted for age at cancer diagnosis, and DSS analyses were also adjusted for stage. Results: Included were n=414 women with endometrioid and n= 134 with serous non-endometrioid tumors. High Mismatch Repair defective (dMMR) (SBS6 and SBS15) and Polymerase Epsilon mutation (POLE) (SBS10a; SBS10b) signatures were less common in serous than endometrioid tumors, as expected from the literature (dMMR: SBS6 RR 0.21;95% CI 0.12-0.39; SBS15 0.22;95% CI 0.12-0.40;SBS26 0.21;95% CI 0.12-0.40); SBS15 RR 0.22;95% CI 0.12-0.40 and POLE SBS10a RR 0.23;95% CI 0.10-0.54 and SBS10b 0.33; 95% CI 0.19-0.58). A signature related to tobacco use (SBS4) was also less common in serous tumors (RR 0.32;95% CI 0.15-0.71). Women with high dMMR (SBS6: HR 0.06;95%CI 0.01-0.47; SBS15 HR 0.23;95%CI 0.08-0.64; SBS26: HR 0.42;95% CI 0.21-0.84)) or high POLE (SBS10a HR 0.06;95% CI 0.01-0.46; SBS10b HR 0.13; 0.03-0.54) signatures had a reduced risk of endometrial cancer-specific mortality. Discussion: Endometrioid and serous tumors differ in mutational signatures. The reduced dMMR and POLE signature risk in relation to both serous tumors and DSS are in agreement with other findings. Our results open up new prospects for exploration of serous tumor etiology Citation Format: Deirdre A. Hill, Carolyn Y. Muller, Kimberly K. Leslie, David G. Mutch. Assessing endometrial cancer etiology by histologic subgroups [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2320.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-2320
Primary Topic
Cancer Genomics and Diagnostics
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article

Abstract 2320: Assessing endometrial cancer etiology by histologic subgroups

Deirdre Hill, Kimberly Leslie, C Y Muller, David G. Mutch
Cancer Research
Cancer Genomics and Diagnostics
article

Abstract 2320: Assessing endometrial cancer etiology by histologic subgroups

Deirdre Hill, Kimberly Leslie, C Y Muller, David G. Mutch
article en

Abstract

Abstract Introduction: Endometrial cancer incidence has increased substantially in the past two decades, with the increases occurring primarily in tumors of non-endometrioid histology, which have a poor prognosis. Evidence regarding the origin(s) of the increase is sparse. We sought to determine whether women who had particular molecular signatures of endogenous and exogenous exposures had an increased risk of non-endometrioid histology, particularly serous tumors. Methods: We investigated single-base substitution (SBS) signatures in exome sequencing data from The Cancer Genome Atlas (TCGA). Standard algorithms for mutational signature assessment were applied. Signatures were evaluated on a continuous scale, and also using a high/low cut point determined by maximally selected rank statistics. Relative risks (RR) and 95% confidence intervals (CI) were computed for 49 signatures, comparing risk for serous in relation to endometrioid histology. Disease-specific survival (DSS) was also evaluated in Cox proportional hazard models, with calculation of hazard ratios (HR) and 95% CI. The proportional hazards assumption was verified by Schoenfeld residuals. All analyses were adjusted for age at cancer diagnosis, and DSS analyses were also adjusted for stage. Results: Included were n=414 women with endometrioid and n= 134 with serous non-endometrioid tumors. High Mismatch Repair defective (dMMR) (SBS6 and SBS15) and Polymerase Epsilon mutation (POLE) (SBS10a; SBS10b) signatures were less common in serous than endometrioid tumors, as expected from the literature (dMMR: SBS6 RR 0.21;95% CI 0.12-0.39; SBS15 0.22;95% CI 0.12-0.40;SBS26 0.21;95% CI 0.12-0.40); SBS15 RR 0.22;95% CI 0.12-0.40 and POLE SBS10a RR 0.23;95% CI 0.10-0.54 and SBS10b 0.33; 95% CI 0.19-0.58). A signature related to tobacco use (SBS4) was also less common in serous tumors (RR 0.32;95% CI 0.15-0.71). Women with high dMMR (SBS6: HR 0.06;95%CI 0.01-0.47; SBS15 HR 0.23;95%CI 0.08-0.64; SBS26: HR 0.42;95% CI 0.21-0.84)) or high POLE (SBS10a HR 0.06;95% CI 0.01-0.46; SBS10b HR 0.13; 0.03-0.54) signatures had a reduced risk of endometrial cancer-specific mortality. Discussion: Endometrioid and serous tumors differ in mutational signatures. The reduced dMMR and POLE signature risk in relation to both serous tumors and DSS are in agreement with other findings. Our results open up new prospects for exploration of serous tumor etiology Citation Format: Deirdre A. Hill, Carolyn Y. Muller, Kimberly K. Leslie, David G. Mutch. Assessing endometrial cancer etiology by histologic subgroups [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2320.

Cancer ResearchVol. 86(7_Supplement)
University of New Mexico (US), Washington University in St. Louis (US)
Good health and well-being
Openalex Percentile: Top 10%
Cancer Genomics and Diagnostics
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