Impact of oral and oropharyngeal cancer diagnosis on smoking cessation patients and cohabiting smokers

Cause of Death in Patients with Oropharyngeal Carcinoma by Human Papillomavirus Status: Comparative Data Analysis

BACKGROUND

The incidence of oropharyngeal squamous cell carcinomas (OPSCC) has increased in recent decades, and human papillomavirus (HPV) infection is the main cause of OPSCC. The data regarding causes of death (CODs) are vitally important in informing follow-up strategies and revising treatment strategies to deal with any possible preventable treatment-related COD. However, limited studies have assessed the competing COD by HPV status in patients with OPSCC.

OBJECTIVE

We aimed to analyze the distribution of the competing COD according to HPV status in OPSCC.

METHODS

We retrospectively included stage I-IVB patients with OPSCC from the Surveillance, Epidemiology, and End Results database between 2010 and 2015. The association between HPV status and head and neck cancer-specific mortality (HNCSM), second primary cancer mortality (SPCM), and noncancer-caused mortality (NCCM) were analyzed. The chi-square test, Kaplan-Meier analysis, and Fine and Gray model were used for statistical analysis.

RESULTS

We included 5852 patients in this study and 73.2% (n=4283) of them had HPV-related tumors. A total of 1537 (26.3%) patients died, including 789 (51.3%), 333 (21.7%), and 415 (27%) patients who died from head and neck cancer, second cancer, and noncancer causes, respectively. The 5-year HNCSM, SPCM, NCCM, and overall mortality were 14.7%, 6.5%, 7.7%, and 26.4%, respectively. Those with HPV-positive disease had a lower cumulative incidence of HNCSM (subdistribution hazard ratio [sHR] 0.362, 95% CI 0.315-0.417; P<.001), SPCM (sHR 0.400, 95% CI 0.321-0.496; P<.001), and NCCM (sHR 0.460, 95% CI 0.378-0.560; P<.001) than those with HPV-negative disease. The 5-year risk of HNCSM was 26.9% and 10.7% in those with HPV-negative and HPV-positive disease, respectively (P<.001). The 5-year risk of SPCM was 12.4% and 4.6% in those with HPV-negative and HPV-positive disease, respectively (P<.001). The 5-year risk of NCCM of death was 13.7% and 5.8% in those with HPV-negative and HPV-positive disease, respectively (P<.001). Using the Fine and Gray competing-risks model, our results show that those with HPV-negative tumors had a significantly higher risk of HNCSM (P<.001), SPCM (P<.001), and NCCM (P<.001) than those with HPV-negative tumors.

CONCLUSIONS

HPV-positive OPSCC has a lower NCSM, SPCM, and NCCM as compared to those with HPV-negative OPSCC. HPV positivity is a favorable prognostic factor in the context of overcoming cancer as well as in terms of reducing the risk of other CODs in OPSCC. Our finding supports the need to tailor patient follow-up based on the HPV status of patients with OPSCC.

A Primer to Experimental and Nonexperimental Quantitative Research: The Example Case of Tobacco-Related Mouth Cancer

OBJECTIVES

To present a comprehensive overview of key constructs of experimental and nonexperimental quantitative research, drawing on one example case from cancer care.

DATA SOURCES

Published scientific articles, research textbooks, and expert advice were used in this article.

CONCLUSION

Quantitative research turns information collected about people or about processes into numerical data. Depending on the underlying purpose, the goal is to address questions that have to do with intervention, prognosis, causation, association, description, or assessment. In experimental research, an intervention is manipulated. True experimental research (randomized controlled trial) controls confounding variables via use of both randomization and a control group; quasi-experimental research misses one or both of these elements. In either case, the aim is to generate evidence to confidently say that an intervention is the true cause of an observed outcome. Nonexperimental research is multifaceted. Cohorts and case-control studies can be used to test cause-and-effect relationships where experimental research is unethical or impractical. Correlational research aims to explore possible associations (exploratory) or help anticipate outcomes (predictive) and, quite often, is the precursor of experimental research. Descriptive research (simple, comparative, survey, retrospective chart review) can be used to describe and assess situations, conditions, or behaviors.

IMPLICATIONS FOR NURSING PRACTICE

Understanding the different aims and goals of the different types of quantitative research can help increase capacity and confidence in understanding, appraising, and applying quantitative evidence among health care students, professionals, and novice researchers in the quest for the provision of quality cancer care.

Sex-specific gene expression patterns in head and neck squamous cell carcinomas

Objective

The head and neck squamous cell carcinomas (HNSCCs) have higher incidence rates in men, but the reasons are still obscure. This study aimed to investigate the sex-specific gene expression patterns and predict the regulatory mechanisms.

Design

Data including clinical, survival, RNA-seq, miRNA, and methylation information were derived from The Cancer Genome Atlas (TCGA). A total of 131 paired male and female cases were included based on propensity score matching. We concentrated on the prognostic values of the sex-specific pathways enriched by differentially expressed genes (DEGs) and predicted the potential regulatory mechanisms from immune cell infiltration, ceRNA regulatory network, methylation, and differential coexpression analysis.

Results

Compared with females, males exhibited a lower activity of immune-related functions and higher activities of mitochondrial and ubiquitination functions. The pathway activities were associated with the prognosis of males but less relevant to females. We extracted eight pathways with sex-biased survival patterns, of which five were about down-regulated immune functions, and three were up-regulated pathways (GTP biosynthetic, DNA polymerase, and spliceosomal complex assembly). The five immune pathways were moderately or strongly correlated with the proportion of macrophages. We identified six over-expressed lncRNAs that might be involved in the regulation of the three up-regulated pathways. These lncRNAs exhibited a lower methylation density in males, which might account for their over-expression.

Conclusions

For HNSCCs, males were characterized by immunosuppression. It was a sign of unfavorable prognosis and might be associated the proportion of macrophages. LncRNAs and methylation might be involved in the regulation of these pathways.

The Impact of Smoking, Alcohol Use, Recurrent Disease, and Age on the Development of Neck Fibrosis in Head and Neck Cancer Patients Following Radiation Therapy

There is a paucity of information regarding the demographic factors associated with the development of neck fibrosis in head and neck cancer (HNC) patients following radiotherapy. A retrospective review of all patients being treated for HNC at a tertiary care center between 2013 and 2017 was performed. Chi-squared and Mann-Whitney U tests were used to identify differences in incidence and grade of fibrosis, respectively, between populations. A total of 90 patients aged 19 to 99 years were included. Factors associated with an increased incidence of fibrosis included smoking during radiotherapy (p < 0.001), alcohol use (p = 0.026), recurrent disease (p = 0.042), and age less than 60 (p < 0.001) on univariate analysis. Factors associated with increased grade of fibrosis in HNC patients included recurrent HNC (p = 0.033), alcohol use (p = 0.013), patient age younger than 60 years (p = 0.018), smoking during radiotherapy (p < 0.001), and non-Caucasian race (p = 0.012). Identification and intervention directed at patients that possess risk factors associated with fibrosis prior to treatment has the potential to improve the long-term quality of life for HNC patients.

The Effect of a Cancer History on Patients with Acute Myocardial Infarction After Percutaneous Coronary Intervention

The effect of a history of cancer on the prognosis of patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI) is poorly understood.From the Osaka Acute Coronary Insufficiency Study (OACIS) registry in Osaka, Japan, we enrolled the case data of a total of 3499 patients with AMI treated with PCI between 1998 and 2014, of whom 462 had a cancer history (cancer group, 13.2%) and 3037 did not (non-cancer group, 86.8%). All of the cases were followed for up to five years from discharge.The Kaplan-Meier curve and multivariate analysis using Cox proportional hazards models revealed that all-cause mortality was significantly higher in the cancer group than in the non-cancer group (adjusted hazard ratio [HR], 2.43; P < 0.001). Deaths from cardiac, cancer, and other causes were treated as competing events, and competing analysis using the cumulative incidence function (CIF) and Fine-Gray model revealed that mortality due to cancer was higher in the cancer group than in the non-cancer group, whereas cardiac mortality was similar between the two groups. The incidences of cardiovascular events, including stroke, recurrent infarction, and heart failure requiring readmission, were also similar between the two groups, although the Kaplan-Meier analysis and univariate Cox proportional hazards model revealed that the incidence of stroke was higher in the cancer group than in the non-cancer group.A history of cancer increased all-cause and cancer mortality among patients with AMI treated with PCI, although it was not associated with cardiovascular events.