Author Correction: Personalized Risk Assessment in Never, Light, and Heavy Smokers in a prospective cohort in Taiwan.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Socio-demographic, Clinical, and Genetic Determinants of Quality of Life in Lung Cancer Patients.

Patient reported health-related quality of life (QOL) is a major component of the overall well-being of cancer patients, with links to prognosis. In 6,420 lung cancer patients, we identified patient characteristics and genetic determinants of QOL. Patient responses from the SF-12 questionnaire was used to calculate normalized Physical Component Summary (PCS) and Mental Component Summary (MCS) scores. Further, we analyzed 218 single nucleotide polymorphisms (SNPs) in the p38 MAPK signaling pathway, a key mediator of response to cellular and environmental stress, as genetic determinants of QOL in a subset of the study population (N = 641). Trends among demographic factors for mean PCS and MCS included smoking status (PCS Ptrend < 0.001, MCS Ptrend < 0.001) and education (PCS Ptrend < 0.001, MCS Ptrend < 0.001). Similar relationships were seen for MCS. The homozygous rare genotype of MEF2B: rs2040562 showed an increased risk of a poor MCS (OR: 3.06, 95% CI: 1.05-8.92, P = 0.041). Finally, survival analysis showed that a low PCS or a MCS was associated with increased risks of five-year mortality (HR = 1.63, 95% CI: 1.51-1.77, HR = 1.23, 95% CI: 1.16-1.32, respectively) and there was a significant reduction in median survival time (Plog-rank < 0.001). These findings suggest that multiple factors contribute to QOL in lung cancer patients, and baseline QOL can impact survival.

Determinants and prognostic value of quality of life in patients with pancreatic ductal adenocarcinoma.

BACKGROUND: Quality of life (QOL) is impaired in pancreatic cancer patients. Our aim was to investigate the determinants and prognostic value of QOL after diagnosis in a hospital-based cohort of racially/ethnically diverse patients with pancreatic ductal adenocarcinoma (PDAC). PATIENTS AND METHODS: QOL was prospectively assessed using the Short Form-12 in 2478 PDAC patients. The Physical Component Summary (PCS) and Mental Component Summary (MCS) were categorised into tertiles based on their distribution. Ordered logistic regression was adopted to compare the risk of having lower PCS and MCS by patient sociodemographic and clinical characteristics. The association of PCS and MCS with mortality was assessed by Cox regression. RESULTS: Compared with non-Hispanic whites, Hispanics were at significantly higher risk of having lower PCS (odds ratio [95% CI], 1.69 [1.26-2.26]; P < 0.001) and lower MCS (1.66 [1.24-2.23]; P < 0.001). Patients diagnosed with stage III (1.80 [1.10-2.94]; P = 0.02) and stage IV (2.32 [1.50-3.59]; P < 0.001) PDAC were more likely to have lower PCS than stage I patients. Other determinants of QOL included sex, age, drinking, smoking, education level, comorbidities and time since diagnosis. The low tertile of PCS (hazard ratio [95% CI], 1.94 [1.72-2.18]; P < 0.001) and MCS (1.42 [1.26-1.59]; P < 0.001) were each related to poor prognosis. Similar results were found for non-Hispanic whites as compared with African-Americans/Hispanics/others. CONCLUSION: QOL after diagnosis is a significant prognostic indicator for patients with PDAC. Multiple factors determine QOL, suggesting possible means of intervention to improve QOL and outcomes of PDAC patients.

Personalized Risk Assessment in Never, Light, and Heavy Smokers in a prospective cohort in Taiwan.

The objective of this study was to develop markedly improved risk prediction models for lung cancer using a prospective cohort of 395,875 participants in Taiwan. Discriminatory accuracy was measured by generation of receiver operator curves and estimation of area under the curve (AUC). In multivariate Cox regression analysis, age, gender, smoking pack-years, family history of lung cancer, personal cancer history, BMI, lung function test, and serum biomarkers such as carcinoembryonic antigen (CEA), bilirubin, alpha fetoprotein (AFP), and c-reactive protein (CRP) were identified and included in an integrative risk prediction model. The AUC in overall population was 0.851 (95% CI = 0.840-0.862), with never smokers 0.806 (95% CI = 0.790-0.819), light smokers 0.847 (95% CI = 0.824-0.871), and heavy smokers 0.732 (95% CI = 0.708-0.752). By integrating risk factors such as family history of lung cancer, CEA and AFP for light smokers, and lung function test (Maximum Mid-Expiratory Flow, MMEF25-75%), AFP and CEA for never smokers, light and never smokers with cancer risks as high as those within heavy smokers could be identified. The risk model for heavy smokers can allow us to stratify heavy smokers into subgroups with distinct risks, which, if applied to low-dose computed tomography (LDCT) screening, may greatly reduce false positives.

Global assessment of genetic variation influencing response to retinoid chemoprevention in head and neck cancer patients.

Head and neck squamous cell carcinoma (HNSCC) patients are at an increased risk of developing a second primary tumor (SPT) or recurrence following curative treatment. 13-cis-retinoic acid (13-cRA) has been tested in chemoprevention clinical trials, but the results have been inconclusive. We genotyped 9,465 single nucleotide polymorphisms (SNP) in 450 patients from the Retinoid Head and Neck Second Primary Trial. SNPs were analyzed for associations with SPT/recurrence in patients receiving placebo to identify prognosis markers and further analyzed for effects of 13-cRA in patients with these prognostic loci. Thirteen loci identified a majority subgroup of patients at a high risk of SPT/recurrence and in whom 13-cRA was protective. Patients carrying the common genotype of rs3118570 in the retinoid X receptor (RXRA) were at a 3.33-fold increased risk (95% CI, 1.67-6.67) and represented more than 70% of the study population. This locus also identified individuals who received benefit from chemoprevention with a 38% reduced risk (95% CI, 0.43-0.90). Analyses of cumulative effect and potential gene-gene interactions also implicated CDC25C:rs6596428 and JAK2:rs1887427 as 2 other genetic loci with major roles in prognosis and 13-cRA response. Patients with all 3 common genotypes had a 76% reduction in SPT/recurrence (95% CI, 0.093-0.64) following 13-cRA chemoprevention. Carriers of these common genotypes constituted a substantial percentage of the study population, indicating that a pharmacogenetic approach could help select patients for 13-cRA chemoprevention. The lack of any alternatives for reducing risk in these patients highlights the need for future clinical trials to prospectively validate our findings.