Molecular Subtypes of High-Grade Serous Ovarian Cancer across Racial Groups and Gene Expression Platforms.
Cancer Epidemiol Biomarkers Prev
; 33(8): 1114-1125, 2024 Aug 01.
Article
in En
| MEDLINE
| ID: mdl-38780898
ABSTRACT
BACKGROUND:
High-grade serous carcinoma (HGSC) gene expression subtypes are associated with differential survival. We characterized HGSC gene expression in Black individuals and considered whether gene expression differences by self-identified race may contribute to poorer HGSC survival among Black versus White individuals.METHODS:
We included newly generated RNA sequencing data from Black and White individuals and array-based genotyping data from four existing studies of White and Japanese individuals. We used K-means clustering, a method with no predefined number of clusters or dataset-specific features, to assign subtypes. Cluster- and dataset-specific gene expression patterns were summarized by moderated t-scores. We compared cluster-specific gene expression patterns across datasets by calculating the correlation between the summarized vectors of moderated t-scores. After mapping to The Cancer Genome Atlas-derived HGSC subtypes, we used Cox proportional hazards models to estimate subtype-specific survival by dataset.RESULTS:
Cluster-specific gene expression was similar across gene expression platforms and racial groups. Comparing the Black population with the White and Japanese populations, the immunoreactive subtype was more common (39% vs. 23%-28%) and the differentiated subtype was less common (7% vs. 22%-31%). Patterns of subtype-specific survival were similar between the Black and White populations with RNA sequencing data; compared with mesenchymal cases, the risk of death was similar for proliferative and differentiated cases and suggestively lower for immunoreactive cases [Black population HR = 0.79 (0.55, 1.13); White population HR = 0.86 (0.62, 1.19)].CONCLUSIONS:
Although the prevalence of HGSC subtypes varied by race, subtype-specific survival was similar. IMPACT HGSC subtypes can be consistently assigned across platforms and self-identified racial groups.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Ovarian Neoplasms
/
Cystadenocarcinoma, Serous
Limits:
Aged
/
Female
/
Humans
/
Middle aged
Language:
En
Journal:
Cancer Epidemiol Biomarkers Prev
Year:
2024
Document type:
Article