N.W. Bateman

NUAK1 (ARK5) Is Associated with Poor Prognosis in Ovarian Cancer

Background and objective Nua kinase 1 (NUAK1) was identified in multigene signatures of survival and suboptimal debulking in high-grade serous ovarian cancer (HGSOC). This study investigates the individual clinical and biologic contributions of NUAK1 in HGSOC patients and cell lines. Methods Public transcript expression, clinical, and outcome data were used to interrogate the relationship between NUAK1 and clinicopathologic factors and patient outcomes including progression-free survival (PFS) and molecular subtypes using logistic and Cox modeling. Analysis of NUAK1 transcript expression was performed in primary tumors from 34 HGSOC patients with < or ≥2 years PFS. The impact of silencing NUAK1 by RNA interference (RNAi) on the migratory potential and chemosensitivity of SOC cells was assessed in vitro. Results Elevated NUAK1 transcript expression was associated with worse PFS (hazard ratio = 1.134), advanced stage (odds ratio, OR = 1.7), any residual disease (OR = 1.58), and mesenchymal disease subtype (OR = 7.79 ± 5.89). Elevated NUAK1 transcript expression was observed in HGSOC patients with < vs. ≥2 years PFS (p < 0.045). RNAi-mediated silencing of NUAK1 expression attenuated migration of OV90 and E3 HGSOC cells in vitro, but did not modulate sensitivity to cisplatin or paclitaxel. Conclusion Elevated NUAK1 was associated with poor survival as well as advanced stage, residual disease after cytoreductive surgery and mesenchymal molecular subtype. NUAK1 impacted migration, but not chemosensitivity, in vitro. Additional studies are needed to further develop the concept of NUAK1 as a clinically deployable biomarker and therapeutic target in HGSOC.

Recent advances and opportunities in proteomic analyses of tumour heterogeneity: Tumour tissue proteomics

Solid tumour malignancies comprise a highly variable admixture of tumour and non‐tumour cellular populations, forming a complex cellular ecosystem and tumour microenvironment. This tumour heterogeneity is not incidental, and is known to correlate with poor patient prognosis for many cancer types. Indeed, non‐malignant cell populations, such as vascular endothelial and immune cells, are known to play key roles supporting and, in some cases, driving aggressive tumour biology, and represent targets of emerging therapeutics, such as antiangiogenesis and immune checkpoint inhibitors. The biochemical interplay between these cellular populations and how they contribute to molecular tumour heterogeneity remains enigmatic, particularly from the perspective of the tumour proteome. This review focuses on recent advances in proteomic methods, namely imaging mass spectrometry, single‐cell proteomic techniques, and preanalytical sample processing, that are uniquely positioned to enable detailed analysis of discrete cellular populations within tumours to improve our understanding of tumour proteomic heterogeneity. This review further emphasizes the opportunity afforded by the application of these techniques to the analysis of tumour heterogeneity in formalin‐fixed paraffin‐embedded archival tumour tissues, as these represent an invaluable resource for retrospective analyses that is now routinely accessible, owing to recent technological and methodological advances in tumour tissue proteomics. Copyright

Racial disparities in molecular subtypes of endometrial cancer

OBJECTIVES Racial differences in the molecular subtypes of endometrial cancer and associations with progression-free survival (PFS) were evaluated. METHODS Molecular, clinical and PFS data were acquired from the Cancer Genome Atlas (TCGA) including classification into the integrative, somatic copy number alteration and transcript-based subtypes. The prevalence and prognostic value of the aggressive molecular subtypes (copy number variant [CNV]-high, cluster 4 or mitotic) were evaluated in Black and White patients. RESULTS There were 337 patients including 14% self-designated as Black, 27% with advanced stage, and 82% with endometrioid histology. The CNV-high subtype was more common in Black than White patients (61.9% vs. 23.5%, P=0.0005) and suggested worse PFS in Black patients (hazard ratio [HR]=3.4, P=0.189). The cluster 4 subtype was more prevalent in Black patients (56.8% vs. 20.9%, P<0.0001) and associated with worse PFS in Black patients (HR=3.4, P=0.049). The mitotic subtype was more abundant in Black patients (64.1% vs. 33.7%, P=0.002), indicated worse PFS in Black patients (HR=4.1, P=0.044) including the endometrioid histology (HR=6.1, P=0.024) and exhibited race-associated enrichment in cell cycle signaling and pathways in cancer including PLK1 and BIRC7. All of these aggressive molecular subtypes also indicated worse PFS in White patients, with unique enrichments in mitotic signaling different from Black patients. CONCLUSIONS The aggressive molecular subtypes from TCGA were more common in Black endometrial cancer patients and indicated worse PFS in both Black and White patients. The mitotic subtypes also indicated worse PFS in Black patients with endometrioid histology. Enrichment patterns in mitotic signaling may represent therapeutic opportunities.

Impact of age at diagnosis on racial disparities in endometrial cancer patients

INTRODUCTION Although black patients with endometrial cancer (EC) have worse survival compared with white patients, the interaction between age/race has not been examined. The primary objective was to evaluate the impact of age at diagnosis on racial disparities in disease presentation and outcome in EC. METHODS We evaluated women diagnosed with EC between 1991 and 2010 from the Surveillance, Epidemiology, and End Results. Mutation status for TP53 or PTEN, or with the aggressive integrative, transcript-based, or somatic copy number alteration-based molecular subtype were acquired from the Cancer Genome Atlas. Logistic regression model was used to estimate the interaction between age and race on histology. Cox regression model was used to estimate the interaction between age and race on survival. RESULTS 78,184 white and 8518 black patients with EC were analyzed. Median age at diagnosis was 3-years younger for black vs. white patients with serous cancer and carcinosarcoma (P<0.0001). The increased presentation of non-endometrioid histology with age was larger in black vs. white patients (P<0.0001). The racial disparity in survival and cancer-related mortality was more prevalent in black vs. white patients, and in younger vs. older patients (P<0.0001). Mutations in TP53, PTEN and the three aggressive molecular subtypes each varied by race, age and histology. CONCLUSIONS Aggressive histology and molecular features were more common in black patients and older age, with greater impact of age on poor tumor characteristics in black vs. white patients. Racial disparities in outcome were larger in younger patients. Intervention at early ages may mitigate racial disparities in EC.