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Background: The COVID-19 pandemic has likely affected the most vulnerable groups of patients and those requiring time-critical access to healthcare services, such as patients with cancer. The aim of this study was to use time trend data to assess the impact of COVID-19 on timely diagnosis and treatment of head and neck cancer (HNC) in the Italian Piedmont region. Methods: This study was based on two different data sources. First, regional hospital discharge register data were used to identify incident HNC in patients ≥18 years old during the period from January 1, 2015, to December 31, 2020. Interrupted time-series analysis was used to model the long-time trends in monthly incident HNC before COVID-19 while accounting for holiday-related seasonal fluctuations in the HNC admissions. Second, in a population of incident HNC patients eligible for recruitment in an ongoing clinical cohort study (HEADSpAcE) that started before the COVID-19 pandemic, we compared the distribution of early-stage and late-stage diagnoses between the pre-COVID-19 and the COVID-19 period. Results: There were 4,811 incident HNC admissions in the 5-year period before the COVID-19 outbreak and 832 admissions in 2020, of which 689 occurred after the COVID-19 outbreak in Italy. An initial reduction of 28% in admissions during the first wave of the COVID-19 pandemic (RR 0.72, 95% CI 0.62–0.84) was largely addressed by the end of 2020 (RR 0.96, 95% CI 0.89–1.03) when considering the whole population, although there were some heterogeneities. The gap between observed and expected admissions was particularly evident and had not completely recovered by the end of the year in older (≥75 years) patients (RR: 0.88, 0.76–1.01), patients with a Romano-Charlson comorbidity index below 2 (RR 0.91, 95% CI: 0.84–1.00), and primary surgically treated patients (RR 0.88, 95% CI 0.80–0.97). In the subgroup of patients eligible for the ongoing active recruitment, we observed no evidence of a shift toward a more advanced stage at diagnosis in the periods following the first pandemic wave. Conclusions: The COVID-19 pandemic has affected differentially the management of certain groups of incident HNC patients, with more pronounced impact on older patients, those treated primarily surgically, and those with less comorbidities. The missed and delayed diagnoses may translate into worser oncological outcomes in these patients.

Objectives: This study was conducted to determine incidence trends of female breast cancer according to age groups and to predict future change in Chiang Mai women through 2028. Method: Data were collected from all hospitals in Chiang Mai in northern Thailand, from 1989 through 2013, and used to investigate effects of age, year of diagnosis (period) and year of birth (cohort) on female breast cancer incidences using an age-period-cohort model. This model features geometric cut trends to predict change by young (

To better understand the associations between a history of tobacco use and survival outcomes, cigarette use was prospectively surveyed in 687 previously untreated patients with cancer of the oral cavity (n = 271), oropharynx (n = 257), larynx (n = 135), or hypopharynx (n = 24).Kaplan-Meier and Cox models explored the associations of tobacco use intensity (packs/day), duration (years of use), and timing before diagnosis with overall survival (OS), disease-specific survival (DSS), and recurrence-free survival (RFS).Cigarette use duration, timing, and intensity were significant predictors for all outcomes in univariate analysis. Never smoking and pack-years were not significantly associated with outcomes after adjustment for prognostic factors, such as stage, comorbidities, and human papillomavirus (HPV) status, which were strongly associated with clinical outcomes.The findings confirm the association between smoking history and survival and the importance of clinical variables in evaluating smoking as a prognostic factor. Timing, intensity, and duration of cigarette use should be considered with other prognostic factors when considering risk stratification for treatment planning. © 2016 Wiley Periodicals, Inc. Head Neck 38: 1810-1820, 2016.

Because immune responses within the tumor microenvironment are important predictors of tumor biology, correlations of types of tumor infiltrating lymphocytes (TILs) with clinical outcomes were determined in 278 patients with head and neck squamous cell carcinoma (HNSCC).Infiltrating levels of CD4 (helper T cells), CD8 (cytotoxic/suppressor T cells), FoxP3 (regulatory T cells), CD68 (myeloid-derived suppressor cells,) and CD1a (Langerhans) cells were measured in tissue microarrays (TMAs). Cox models tested associations with patient outcomes after adjusting for all known prognostic factors. Median follow-up was 36.6 months.Higher CD4 and CD8 TIL levels were associated with improved overall survival (OS; hazard ratio [HR] = 0.77; 95% confidence interval [CI] = 0.65-0.93; p = .005 and HR = 0.77; 95% CI = 0.64-0.94; p = .008, respectively), and relapse-free survival (RFS; p = .03 and .05, respectively). After controlling for prognostic factors, higher CD4 levels predicted improved OS and disease-specific survival (DSS; p = .003 and p = .004, respectively).The findings suggest that TILs are a significant independent prognostic factor for HNSCC that differ by treatment. © 2016 Wiley Periodicals, Inc. Head Neck 38: 1074-1084, 2016.