Salivary gland carcinomas (SGC) are rare tumors. The term SGC is not more than an umbrella for a variety of histogenetically, morphologically, and biologically distinct entities. Accordingly, SGCs have not been sufficiently investigated to date. Their rarity makes it challenging to recruit a high number of patients for individual entities in clinical studies, leading to the pooling of patients with different histological subtypes to achieve sufficient participants. The different histological subtypes of SGC exhibit significant differences in their clinicopathological features, including grading, occurrence, and outcome. SGCs usually are stratified into low-, intermediate-, or high-grade tumors. In most kinds of SGC, specific targetable molecular markers are lacking. The inclusion of immunotherapy (IT), however, might improve the outcome of patients suffering from high-grade SGCs. To integrate IT as a therapeutic option for SGC and to facilitate informed therapeutic decisions based on tumor (immune) biology, predictive and prognostic immunological biomarkers are indispensable. In this prospective study, 500 patients will be enrolled, distributed across three arms. The observational cohort includes patients with malignant salivary gland tumors, whereas patients with benign tumors of a salivary gland are grouped in the control group 1. In the control cohort, two patients do not have a salivary gland tumor but have a planned functional surgery of the nose or ear or a maxillofacial surgery. The local immune status of the tumor tissue and the microbiome will be sampled before treatment. In addition, the systemic immune status from peripheral blood will be analyzed before and after surgery and after the adjuvant and definitive chemoradiotherapy (CRT), if applicable. Clinical baseline characteristics and outcome parameters will additionally be collected. Data mining and modeling approaches will be applied to identify interactions between local and systemic immune parameters and to define predictive and prognostic immune signatures based on the evaluated immune markers.
Study Type
OBSERVATIONAL
Enrollment
300
Evaluation of immune characteristics by using patient's stool, saliva, blood, and tumour (not in control group 2) samples.
Universitätsklinikum Erlangen, HNO
Erlangen, Bavaria, Germany
RECRUITINGUniversitätsklinikum Erlangen, Strahlenklinik
Erlangen, Bavaria, Germany
RECRUITINGProgression-free survival (PFS)
As a primary clinical endpoint, the progression-free survival (PFS) of the patients in the observational cohort will be analyzed after two years.
Time frame: 2 years
Locoregional recurrence rate (LRR)
Secondary clinical endpoints, the locoregional recurrence rate (LRR) after two and five years in the observational cohort will be addressed.
Time frame: From baseline to the end of study period, up to 5 years
Occurrence of distant metastases
The occurrence of distant metastases after two and five years in the observational cohort will be addressed.
Time frame: From baseline to the end of study period, up to 5 years
Longitudinal immunophenotyping of the patients: Detection of about 30 distinct immune cell (sub)types together with their activation markers during study period
The distribution of immune cells and messenger substances in the blood will be examined by means of immunophenotyping in order to add the systemic immune cell composition. Flow cytometric assessment of the amount of circulating immune cell-distribution per milliliter whole blood.
Time frame: Change of the immunophenotyping from baseline to the end of study period, up to 5 years
Immune status of the resected tumor
The local immune status of the resected tumor is assessed by examining various immunological parameters during the pathological analysis of the tissue, which includes the expression of immune checkpoint molecules on the cells of the tumor microenvironment, such as PD1, its respective ligands or TIM3 and LAG3. Further, the infiltration of numerous of different immune cell populations in the tumor tissue will be examined, which includes CD19+ CD20+ B cells, CD4+ and CD8+ T cells or neutrophilic granulocytes.
Time frame: 1 year
Transcriptional changes in immune cell gene expression
Blood is also drawn into RNA stabilization tubes to create cell lysates for long-term storage and to isolate total RNA from blood cells. Cell pellets from whole blood are preserved for the extraction of nucleic acids. The collection and storage of biomaterials are managed by the Central Biobank Erlangen (CeBE). Transcriptional analyses will be conducted using whole-exome sequencing, RNA sequencing, digital droplet PCR, or real-time quantitative PCR.
Time frame: Change of the immunophenotyping from baseline to the end of study period, up to 5 years
Analysis of patient's microbiomic state by examination of saliva, tumor and stool
For the microbiome analysis, stool, saliva, and tumor smear samples are collected preoperatively (stool and saliva) and after the tumor excision (tumor smear). The composition of the oral, bowel, and tumor microbiome is determined through metagenomic analyses to identify all non-human species present in the samples. The qualitative and quantitative diversity of the microbiome is then evaluated using bioinformatics approaches.
Time frame: The analyses are conducted from baseline to the end of study period, up to 5 years
Analysis of cytokines and metabolites in peripheral blood and their change at certain points in the course of treatment
Electrochemiluminescent MULTI-ARRAY measurement of concentration (pg/ml whole blood) cytokines/chemoattractant cytokines in the serum/plasma of the patients. Mass spectrometry will be employed to analyze changes in metabolites from the serum and plasma.
Time frame: Change of the cytokine expression from baseline to the end of study period, up to 5 years
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