Clinical Stage I Cutaneous Melanoma AJCC v8 Clinical Trial
Official title:
Evaluating the Impact of Perioperative Antibiotic Prophylaxis on the Microbiome in Patients With Cutaneous Malignancy
Verified date | May 2024 |
Source | M.D. Anderson Cancer Center |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This phase I trial investigates the impact of cefazolin before surgery on the microbiome in patients with stage I-II melanoma. Antibiotics, such as cefazolin, given at the time of surgery may cause a significant change in the microbes (like bacteria and viruses) found in the stomach and intestines. This trial may help researchers learn if any changes in microbes affect the body's ability to respond to surgery and cancer.
Status | Active, not recruiting |
Enrollment | 20 |
Est. completion date | February 2, 2027 |
Est. primary completion date | February 2, 2027 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Adult subjects with early stage melanoma (stage I-II) - Patients must be undergoing wide local excision +/- sentinel lymph node biopsy - Patients must be capable of giving written informed consent, which includes compliance with the requirements and restrictions listed in the consent form Exclusion Criteria: - Use of antibiotics within the three months prior to surgery - Allergy, sensitivity or anaphylaxis to beta-lactam or cephalosporin antibiotics - Presence of an infection at the time of surgery - Increased risk of infection due to a co-existing medical condition as determined by the surgical team or principal investigator (PI) - Subjects with a condition requiring systemic treatment with either corticosteroids (> 10 mg daily prednisone equivalents) or other immunosuppressive medications within 14 days of study drug administration - American Society of Anesthesiologists (ASA) grade > IV - Refusal to participate in the study - Patients who are pregnant will not be included in this study |
Country | Name | City | State |
---|---|---|---|
United States | M D Anderson Cancer Center | Houston | Texas |
Lead Sponsor | Collaborator |
---|---|
M.D. Anderson Cancer Center | National Cancer Institute (NCI) |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change in microbiome alpha diversity | The diversity, structure, and composition of the fecal microbiome will be determined by 16S(v4) rRNA gene sequencing. 16S profiles will be used to compute alpha diversity, beta diversity, and the relative abundance of fecal bacteria. The composition of fecal bacteria in adult humans is mainly dominated by members of the Firmicutes and Proteobacteria phyla while members of Proteobacteria, Actinobacteria, Fusobacteria, and Verrucomicrobia are observed in lower abundance. To calculate richness (alpha-diversity), we will count each operational taxonomic unit (OTU) or amplicon sequence variant (ASV) identified. Richness count is expected to range between 10-500 per sample. | Baseline up to 2 weeks post-surgery | |
Secondary | Change in relative abundance of microbes | Baseline, at 2 weeks post-surgery, and 3 months post-surgery | ||
Secondary | Change in microbiome diversity | The diversity, structure, and composition of the fecal microbiome will be determined by 16S(v4) rRNA gene sequencing. 16S profiles will be used to compute alpha diversity, beta diversity, and the relative abundance of fecal bacteria. The composition of fecal bacteria in adult humans is mainly dominated by members of the Firmicutes and Proteobacteria phyla while members of Proteobacteria, Actinobacteria, Fusobacteria, and Verrucomicrobia are observed in lower abundance. To calculate richness (alpha-diversity), we will count each operational taxonomic unit (OTU) or amplicon sequence variant (ASV) identified. Richness count is expected to range between 10-500 per sample. | Baseline up to 3 months post-surgery | |
Secondary | Wound (surgical site) infection rate | Up to 3 months post-surgery | ||
Secondary | Profiling of systemic immune function by analysis of composition of circulating immune cell populations and cytokines | By analysis of composition of circulating immune cell populations and cytokines. | Up to 3 months post-surgery |
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