Regional outcome disparities in German head and neck cancer patients: Shorter survival in Eastern Germany

INTRODUCTION

Demographics are important prognostic factors in malignant diseases. A nationwide analysis concerning the prognostic impact of demographics in head and neck cancer (HNC) patients (HNCP) has not been performed previously.

METHODS

A retrospective analysis of data from the Center for Cancer Registry Data (ZfKD) and the Federal Statistical Office (Destatis) between 2002 and 2017 was performed. A total of 212'920 HNCP were included. Incidence, tumor stage, age development, sex distribution, age-, residence-, and diagnosis-time-specific survival were examined.

RESULTS

Mean age of HNCP increased more rapidly than in the general population (slope coefficient: 0.29 vs. 0.20; p < 0.0001). Higher age and male sex were associated with a worse prognosis. Whereas overall survival (OS) increased from the early to the later observation period for HNCP <70 years, no OS improvement for HNCP >70 years was found. Furthermore, an OS disadvantage was observed for East Germany compared to West Germany (median 47 vs. 60 months; p < 0.0001). This disparity was associated with a disproportionately high ratio of men in East Germany (men/women: 4.4 vs. 3.1; p < 0.0001) and a lower mean age (61 vs. 63 years; p < 0.0001). In addition to stage, age and sex, residence in East Germany were confirmed as an independent factor for OS in a multivariate analysis.

CONCLUSION

Finally, three decades after the German reunion, a survival disadvantage for patients in East Germany still exists. This discrepancy may be a result of socioeconomic disparities.

Demographics and access to head and neck cancer care in rural areas compared to urban areas in Germany

BACKGROUND

Demographic development in rural and urban areas differs substantially. Demographics and access to specialized head and neck cancer centers may affect head and neck cancer patients' (HNCP) outcomes. Here, we compare epidemiological indicators and outcomes of HNCP in rural and urban Germany.

PATIENTS AND METHODS

In a retrospective analysis of data from the Center for Cancer Registry Data (ZfKD) between 2002 and 2017, 212,920 HNCP were included. Incidence, demographics, travel distance to specialized centers, and ground values were compared between rural and urban areas with a focus on their association with patient outcomes.

RESULTS

The mean age of HNCP was significantly higher in urban areas (mean difference = 1.4 years; p < 0.0001), but increased at a comparable rate (p = 0.26) in rural and urban areas during the observation period. Gender imbalance was higher in rural areas (mean ratio of men/women: 4.1 vs. 3.1; p < 0.0001), but showed a comparable trend toward equilibration in both, rural and urban districts (p = 0.46). The portion of HNCP of the entire HNCP population living in urban areas increased from 55.9% in the year 2002 to 76.4% in the year 2017. There was no significant difference or change in the ratio of advanced to low UICC stage during the observation period (p = 0.26). However, travel distances to medical centers were higher in rural areas, especially (p < 0.0001) in East Germany. Median survival of HNCP in rural areas was significantly lower than in urban areas (42 months [SEM = 0.7; CI: 40.5-43.5] vs. 54 months [SEM = 1.2; CI: 51.7-56.3]; p < 0.0001) in East Germany, whereas in West Germany no significant difference was observed (59 months [SEM = 0.8; CI: 57.4-60.6] vs. 60 months [SEM = 0.5; CI: 59.0-61.0]; p = 0.15).

CONCLUSIONS

Place of residence contributes to survival outcome of HNCP. Access to specialized care and socioeconomic factors could be improved in East Germany.

Prospective longitudinal study of immune checkpoint molecule (ICM) expression in immune cell subsets during curative conventional therapy of head and neck squamous cell carcinoma (HNSCC)

Programmed-death-1 (PD1) antibodies are approved for recurrent and metastatic head and neck squamous cell carcinoma. Multiple drugs targeting costimulatory and coinhibitory immune checkpoint molecules (ICM) have been discovered. However, it remains unknown how these ICM are affected by curative conventional therapy on different immune cell subsets during the course of treatment. In the prospective noninterventional clinical study titled "Immune Response Evaluation to Curative conventional Therapy" (NCT03053661), 22 patients were prospectively enrolled. Blood samples were drawn at defined time points throughout curative conventional treatment and follow-up. Immune cells (IC) from the different time points were assessed by multicolor flow cytometry. The following ICM were measured by flow cytometry: PD1, CTLA4, BTLA, CD137, CD27, GITR, OX40, LAG3 and TIM3. Dynamics of ICM expression were assessed using nonparametric paired samples tests. Significant changes were noted for PD1, BTLA and CD27 on multiple IC types during or after radiotherapy. Nonsignificant trends for increased expression of OX40 and GITR from baseline until the end of RT were observed on CD4 T cells and CD4⁺ CD39⁺ T cells. In patients with samples at recurrence of disease, a nonsignificant increase of TIM3 and LAG3 positive CD4⁺ CD39⁺ T cells was evident, accompanied by an increase of double positive cells for TIM3/LAG3. Potential future targets to be combined with RT in the conventional treatment and anti-PD1/PD-L could be BTLA agonists, or agonistic antibodies to costimulatory ICM like CD137, OX40 or GITR. The combination of cetuximab with CD27 agonistic antibodies enhancing ADCC or the targeting of TIM3/LAG3 may be another promising strategy.