MedPath

Immune Response in Cervical Lymph Nodes of Patients With Head and Neck Cancer

Recruiting
Conditions
Squamous Cell Carcinoma Head and Neck Cancer (HNSCC)
Registration Number
NCT07131566
Lead Sponsor
Lars Olaf Cardell
Brief Summary

Objective:

The aim of this study is to characterize the inflammatory response in patients with head and neck cancer. More specifically, the study intend to investigate inflammatory and genetic differences between the primary tumor, the sentinel lymph node, and other regional lymph nodes. The investigator also aim to assess how the immunological and genetic responses differ in lymph nodes with and without metastases.

To enable the detection of metastases in lymph nodes containing very few cancer cells, the investigator are developing a method to identify tumor cells using flow cytometry. Additionally, both tumor tissue and lymph nodes will undergo in vitro testing of checkpoint blockade therapy, a relatively new form of cancer immunotherapy.

Methods:

Biopsies from the primary tumor will be used to assess local inflammation. Fine-needle aspirates and dissected lymph node tissue will be analyzed to study inflammatory and genetic responses, as well as to detect tumor cells within these nodes. Blood samples from patients with head and neck cancer will be analyzed for inflammatory mediators.

Lymph nodes from patients without cancer will be collected during benign neck surgeries. Immunological and genetic parameters from these control lymph nodes will be compared to those from the cancer patients to identify disease-specific patterns.

Detailed Description

Statistical analyse Plan: All data will be log-transformed to approximate normal distribution. For pairwise comparisons Student's t-test will be used. For multiple comparisons one-way ANOVA followed by a suitable post-hoc test will be performed.

Power: Power has been determined based on available previous data. The investigator will have access to samples from up to 300 study subjects that can be used generate different datasets. The calculated sample size ranges from 20 to 60 samples per group depending on the specific research question. This calculation was conducted assuming two-tailed comparisons, with, significance p\<0.05, and power 80%.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
500
Inclusion Criteria
  1. a diagnosis of primary HNSCC,
  2. tumor excision combined with a sentinel node-assisted elective neck dissection or sentinel node biopsy alone performed at Karolinska University Hospital, Stockholm, Sweden
  3. willingness to participate in the study.
Exclusion Criteria
  1. systematic autoimmune diseases
  2. synchronous or previous second malignancies or hemo-lymphopoietic malignancies
  3. any other acute or chronic condition that could influence the immunological environment in the lymph nodes.

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Proportion of cervical lymph nodes with tumor cells detected by flow cytometryBaseline (at surgery or biopsy)

Flow cytometric detection of tumor cells in sentinel node, other cervical lymph nodes, or fine-needle aspirates. Reported as the percentage of examined lymph nodes containing tumor cells. Unit of measure: % of lymph nodes

Immunological cell profile in sentinel node measured by flow cytometryBaseline (at surgery or biopsy)

Quantification of immune cell populations (e.g., CD4+, CD8+ T cells, B cells) in sentinel node, expressed as number of cells per mg of tissue. Unit of measure: % of total cells

Secondary Outcome Measures
NameTimeMethod
Differential gene expression between sentinel node and non tumour draining lymph node.Baseline (at surgery or biopsy)

RNA sequencing of biopsies from sentinel node and non tumour draining lymph node to identify differentially expressed genes (log2 fold change, p-value).unit of measure: Fold change in gene expression

Trial Locations

Locations (1)

Karolinska University Hospital

🇸🇪

Stockholm, Sweden

Karolinska University Hospital
🇸🇪Stockholm, Sweden
Lars Olaf Cardell, Professor
Contact
+46 8 123 80 000
lars-olaf.cardell@ki.se

MedPath

Empowering clinical research with data-driven insights and AI-powered tools.

© 2025 MedPath, Inc. All rights reserved.