Identification of a gene expression signature predictive of clinical benefit in patients with advanced mucosal melanoma (MCM) treated with immune checkpoint blockade.

Authors

null

Suthee Rapisuwon

Georgetown University, Lombardi Comprehensive Cancer Center, Washington, DC

Suthee Rapisuwon , Alexander Noor Shoushtari , Lee S. Gottesdiener , Douglas Buckner Johnson , Daniel Ying Wang , Garrett Thomas Graham , David Goerlitz , Deborah Berry , Michael B. Atkins

Organizations

Georgetown University, Lombardi Comprehensive Cancer Center, Washington, DC, Memorial Sloan Kettering Cancer Center, New York, NY, Vanderbilt University Medical Center, Nashville, TN, Georgetown University-Lombardi Comprehensive Cancer Center, Washington, DC, Georgetown Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, Georgetown Lombardi Comprehensive Cancer Center, Washington, DC

Research Funding

Other Foundation

Background: MCM is a rare melanoma subtype (only 1% of melanomas in the US). MCM has a lower tumor mutational burden than cutaneous melanoma (CM). While some patients (pts) with MCM respond to immune checkpoint inhibitor (ICI) therapy, predictive markers of response have not been established. We analyzed a cohort of MCM from pts treated with ICI to identify gene expression signatures associated with tumor response and clinical outcome. Methods: Fifty-eight MCM specimens were collected from 3 institutions. RNA was extracted from FFPE tissue slides and analyzed by NanoString 770 Immune Profiling Panel. Gene expression profiles were linked to anatomical location and disease outcome after ICI therapy: response as defined by RECIST v1.1 and median overall survival (mOS). Results: Fifty-one pts were treated with ICI - anti-CTLA-4 (n = 9), anti-PD1 (n = 38), or both (n = 5) ) and had tumor response evaluation. Three were without response data, 2 were without disease recurrence after surgery, 2 did not receive ICI. Among 51 pts with response data, seven were without long-term follow-up (1CR, 2PR, 3SD). The overall response rate (ORR) was 40.3%, similar to the prior study (Shoushtari et al, Cancer 2016). A signature involving differential expression of 87 immunoregulatory genes correlated with tumor response: ORR: 75% (12/16) signature high vs. 33.3% (7/21) signature low (p = 0.02, high vs. low) vs. 14.3% (2/14) signature average (p < 0.01; high vs. average). mOS for the whole population was 12.4 months. Pts with increased gene signature expression had superior mOS: signature-high: Not reached, signature-low: 8.2 months, (HR: 0.2; 95%CI: 0.07-0.55, p < 0.01). Transcript pathway analysis of the gene signature showed association with chemokine receptors, interleukin-10 signaling, and Treg development. Conclusions: We have identified a gene expression signature that involves chemokine receptors, IL-10 signaling, and Treg development gene sets, that appears to predict for tumor response and mOS in pts with advanced MCM treated with ICI. Further validation of these gene signatures is underway.

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Abstract Details

Meeting

2019 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Melanoma/Skin Cancers

Track

Melanoma/Skin Cancers

Sub Track

Advanced/Metastatic Disease

Citation

J Clin Oncol 37, 2019 (suppl; abstr 9546)

DOI

10.1200/JCO.2019.37.15_suppl.9546

Abstract #

9546

Poster Bd #

117

Abstract Disclosures

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