Dataset Information

Association between cancer stem cell gene expression signatures and prognosis in head and neck squamous cell carcinoma.

ABSTRACT:

Background

Various cancer stem cell (CSC) biomarkers and the genes encoding them in head and neck squamous cell carcinoma (HNSCC) have been identified and evaluated. However, the validity of these factors in the prognosis of HNSCC has been questioned and remains unclear. In this study, we examined the clinical significance of CSC biomarker genes in HNSCC, using five publicly available HNSCC cohorts.

Methods

To predict the prognosis of patients with HNSCC, we developed and validated the expression signatures of CSC biomarker genes whose mRNA expression levels correlated with at least one of the four CSC genes (CD44, MET, ALDH1A1, and BMI1).

Results

Patients in The Cancer Genome Atlas (TCGA) HNSCC cohort were classified into CSC gene expression-associated high-risk (CSC-HR; n = 285) and CSC gene expression-associated low-risk (CSC-LR; n = 281) subgroups. The 5-year overall survival and recurrence-free survival rates were significantly lower in the CSC-HR subgroup than in the CSC-LR subgroup (p = 0.04 and 0.02, respectively). The clinical significance of the CSC gene expression signature was validated using four independent cohorts. Analysis using Cox proportional hazards models showed that the CSC gene expression signature was an independent prognostic factor of non-oropharyngeal HNSCC which mostly indicates HPV (-) status. Furthermore, the CSC gene expression signature was associated with the prognosis of HNSCC patients who received radiotherapy.

Conclusion

The CSC gene expression signature is associated with the prognosis of HNSCC and may help in personalized treatments for patients with HNSCC, especially in cases with HPV (-) status who were classified in more detail.

SUBMITTER: Kim SI

PROVIDER: S-EPMC9583594 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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Publications

Association between cancer stem cell gene expression signatures and prognosis in head and neck squamous cell carcinoma.

Kim Su Il SI Woo Seon Rang SR Noh Joo Kyung JK Lee Min Kyeong MK Lee Young Chan YC Lee Jung Woo JW Kong Moonkyoo M Ko Seong-Gyu SG Eun Young-Gyu YG

BMC cancer 20221019 1

<h4>Background</h4>Various cancer stem cell (CSC) biomarkers and the genes encoding them in head and neck squamous cell carcinoma (HNSCC) have been identified and evaluated. However, the validity of these factors in the prognosis of HNSCC has been questioned and remains unclear. In this study, we examined the clinical significance of CSC biomarker genes in HNSCC, using five publicly available HNSCC cohorts.<h4>Methods</h4>To predict the prognosis of patients with HNSCC, we developed and validate ...[more]

PMID: 36261806

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Project description:ObjectivesHead and neck squamous cell carcinoma (HNSCC) shows a remarkable heterogeneity between tumors, which may be captured by a variety of quantitative features extracted from diagnostic images, termed radiomics. The aim of this study was to develop and validate MRI-based radiomic prognostic models in oral and oropharyngeal cancer.Materials and methodsNative T1-weighted images of four independent, retrospective (2005-2013), patient cohorts (n = 102, n = 76, n = 89, and n = 56) were used to delineate primary tumors, and to extract 545 quantitative features from. Subsequently, redundancy filtering and factor analysis were performed to handle collinearity in the data. Next, radiomic prognostic models were trained and validated to predict overall survival (OS) and relapse-free survival (RFS). Radiomic features were compared to and combined with prognostic models based on standard clinical parameters. Performance was assessed by integrated area under the curve (iAUC).ResultsIn oral cancer, the radiomic model showed an iAUC of 0.69 (OS) and 0.70 (RFS) in the validation cohort, whereas the iAUC in the oropharyngeal cancer validation cohort was 0.71 (OS) and 0.74 (RFS). By integration of radiomic and clinical variables, the most accurate models were defined (iAUC oral cavity, 0.72 (OS) and 0.74 (RFS); iAUC oropharynx, 0.81 (OS) and 0.78 (RFS)), and these combined models outperformed prognostic models based on standard clinical variables only (p < 0.001).ConclusionsMRI radiomics is feasible in HNSCC despite the known variability in MRI vendors and acquisition protocols, and radiomic features added information to prognostic models based on clinical parameters.Key points• MRI radiomics can predict overall survival and relapse-free survival in oral and HPV-negative oropharyngeal cancer. • MRI radiomics provides additional prognostic information to known clinical variables, with the best performance of the combined models. • Variation in MRI vendors and acquisition protocols did not influence performance of radiomic prognostic models.

Project description:ImportanceWhile the adverse association between smoking and head and neck squamous cell carcinoma (HNSCC) survival has been well described, there are also inconclusive studies and those that report no significant changes in HNSCC survival and overall mortality due to smoking. There is also a lack of studies investigating the association of marital status on smoking status at diagnosis for patients with HNSCC.ObjectiveTo examine the association between patient smoking status at HNSCC diagnosis and survival and the association between marital status and smoking in these patients.Design, setting, and participantsThis retrospective cohort study was conducted by querying the Saint Louis University Hospital Tumor Registry for adults with a diagnosis of HNSCC and treated at the university academic medical center between 1997 and 2012; 463 confirmed cases were analyzed.Main outcomes and measuresCox proportional hazards regression analysis was used to evaluate association of survival with smoking status at diagnosis and covariates. A multivariate logistic regression model was used to assess whether marital status was associated with smoking at diagnosis adjusting for covariates.ResultsOf the 463 total patients (338 men, 125 women), 92 (19.9%) were aged 18 to 49 years; 233 (50.3%) were aged 50 to 65 years; and 138 (29.8%) were older than 65 years. Overall, 56.2% of patients were smokers at diagnosis (n = 260); 49.6% were married (n = 228); and the mortality rate was 54.9% (254 died). A majority of patients were white (81.0%; n = 375). Smokers at diagnosis were more likely to be younger (ie, <65 years), unmarried, and to drink alcohol. We found a statistically significant difference in median survival time between smokers (89 months; 95% CI, 65-123 months) and nonsmokers at diagnosis (208 months; 95% CI, 129-235 months). In the adjusted Cox proportional hazards model, patients who were smokers at diagnosis were almost twice as likely to die during the study period as nonsmokers (hazard ratio, 1.98; 95% CI, 1.42-2.77). In the multivariate logistic regression analysis, unmarried patients were 76% more likely to use tobacco than married patients (adjusted odds ratio, 1.76; 95% CI, 1.08-2.84).Conclusions and relevanceSmokers were almost twice as likely as nonsmokers to die during the study period. We also found that those who were married were less likely to be smokers at diagnosis. Our study suggests that individualized cancer care should incorporate social support and management of cancer risk behaviors.

Dataset Information

Association between cancer stem cell gene expression signatures and prognosis in head and neck squamous cell carcinoma.

Background

Methods

Results

Conclusion

Publications

Association between cancer stem cell gene expression signatures and prognosis in head and neck squamous cell carcinoma.

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