Recruitment

Recruitment Status
Enrolling by invitation
Estimated Enrollment
40

Summary

Conditions
Melanoma
Type
Observational
Design
Observational Model: Case-OnlyTime Perspective: Prospective

Participation Requirements

Age
Between 18 years and 125 years
Gender
Both males and females

Description

Understanding these genetic alterations and the factors which contribute to this process would be critical for the identification of novel immunotherapeutic targets which may synergize with the T cell-targeted checkpoint inhibitors. Furthermore, this work promises to provide greater insight into tum...

Understanding these genetic alterations and the factors which contribute to this process would be critical for the identification of novel immunotherapeutic targets which may synergize with the T cell-targeted checkpoint inhibitors. Furthermore, this work promises to provide greater insight into tumor-mediated immune evasion mechanisms and primary immunotherapy resistance, potentially unveiling predictive markers of clinical response for our expanding arsenal of immune checkpoint inhibitor therapies. Many patients who exhibit a response to the anti-PD-1 antibodies develop a prolonged course of disease stability which resembles the equilibrium phase of the previously proposed process of cancer immunoediting. This state of equipoise has been hypothesized to involve genetic alterations that promote immune evasion and, in some cases, lead to the development of tumor escape. Based on our data, the investigators propose that melanomas that develop a period of disease stability in response to anti-PD-1 immunotherapy exhibit genetic alterations that suppress the effectiveness of anti-tumor immunity. Our previous studies indicate that the tumor-derived factors that play a role in the paracrine signaling pathways capable of regulating nearby stromal cell populations are more likely to be critical immune regulators of the tumor microenvironment. Therefore, the investigators will focus our studies on those differentially expressed genes which encode soluble proteins using an available prediction algorithm. Those genes identified by this study to be differentially expressed in the melanoma tissues of patients demonstrating a clinical response to immune checkpoint inhibitor therapy will be further evaluated in transgenic autochthonous melanoma models.

Tracking Information

NCT #
NCT02694965
Collaborators
Not Provided
Investigators
Principal Investigator: Brent Hanks, MD, PhD Duke University