Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Sponsor decision
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
This study seeks to correlate microbial sequencing data from a punch biopsy in patients with skin cancer both melanoma and non-melanoma.
The human Skin microbiome is a complex, interconnected web of microbes, living in a symbiotic relationship with their host. There are greater than ten times more bacteria on our bodies than there are human cells, all in a delicate and ever-changing balance to maintain a healthy skin microbiome. When this balance is disrupted, a condition known as dysbiosis, disease can occur. There is still a debate over whether dysbiosis is a cause of disease or a symptom of it. Naturally, since the microbiome has such a profound impact on human health, we want to study and learn as much about the microbiome as possible. By correlating this data with medical records for the patient's skin cancer, connections may begin to be drawn between organisms present in the microbiome of the skin microbiome, and skin cancer. Much like fingerprints, no microbiome is identical therefore the only chance we have at understanding disease is by looking at the skin microbiome and comparing the microorganisms on a patient with skin cancer biopsy and non-skin cancer biopsy.
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Non-interventional | Other | There is no intervention for this study |
| Measure | Description | Time Frame |
|---|---|---|
| Correlation of Skin Microbiome to Cancer via Relative Abundance Found in Microbiome Sequencing | Relative abundance of bacterial classes within taxonomic phyla and, more broadly, within their domain will be analyzed by sequencing the skin microbiome in both cancerous and non-cancerous areas. These data will then be compared to elucidate unique qualities of the microbiome in skin cancer. | 1 year |
| Measure | Description | Time Frame |
|---|---|---|
| Validation of sequencing methods | To validate the sequencing methods used to generate microbiome data | 1 year |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Adults 18 and older with a diagnosis of skin cancer
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Sabine Hazan, MD | ProgenaBiome | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| ProgenaBiome | Ventura | California | 93003 | United States |
Only aggregated, deidentified data will be made available to other researchers.
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D012878 | Skin Neoplasms |
| D008545 | Melanoma |
| D002294 | Carcinoma, Squamous Cell |
| D002280 | Carcinoma, Basal Cell |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D012871 | Skin Diseases |
| D017437 | Skin and Connective Tissue Diseases |
Not provided
Not provided
Not provided
Not provided
Not provided
Punch biopsies of skin from both cancerous and non-cancerous areas.
| D018358 |
| Neuroendocrine Tumors |
| D017599 | Neuroectodermal Tumors |
| D009373 | Neoplasms, Germ Cell and Embryonal |
| D009370 | Neoplasms by Histologic Type |
| D009380 | Neoplasms, Nerve Tissue |
| D018326 | Nevi and Melanomas |
| D002277 | Carcinoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D018307 | Neoplasms, Squamous Cell |
| D018295 | Neoplasms, Basal Cell |