Linking transcriptomic and imaging data defines features of a favorable tumor immune microenvironment and identifies a combination biomarker for primary melanoma

Robyn D. Gartrell-Corrado, Andrew X. Chen, Emanuelle M. Rizk, Douglas K. Marks, Margaret H. Bogardus, Thomas D. Hart, Andrew M. Silverman, Claire Audrey Y. Bayan, Grace G. Finkel, Luke W. Barker, Kimberly M. Komatsubara, Richard D. Carvajal, Basil A. Horst, Rui Chang, Anthea Monod, Raul Rabadan, Yvonne M. Saenger

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Patients with resected stage II-III melanoma have approximately a 35% chance ofdeath from their disease. A deeper understanding of the tumor immune microenvironment (TIME) is required to stratify patients and identify factors leading to therapy resistance. We previously identified that the melanoma immune profile (MIP), an IFN-based gene signature, and the ratio of CD8+ cytotoxic T lymphocytes (CTL) to CD68+ macrophages both predict disease-specific survival (DSS). Here, we compared primary with metastatic tumors and found that the nuclei of tumor cells were significantly larger in metastases. The CTL/macrophage ratio was significantly different between primary tumors without distant metastatic recurrence (DMR) and metastases. Patients without DMR had higher degrees of clustering between tumor cells and CTLs, and between tumor cells and HLA-DR+ macrophages, but not HLA-DR macrophages. The HLA-DR subset coexpressed CD163 CSF1R at higher levels than CD68 HLA-DR macrophages, consistent with an M2 phenotype. Finally, combined tran-scriptomic and multiplex data revealed that densities of CD8 and M1 macrophages correlated with their respective cell phenotype signatures. Combination of the MIP signature with the CTL/macrophage ratio stratified patients into three risk groups that were predictive of DSS, highlighting the potential use of combination biomarkers for adjuvant therapy. Significance: These findings provide a deeper understanding of the tumor immune microenvironment by combining multiple modalities to stratify patients into risk groups, a critical step to improving the management of patients with melanoma.

Original languageEnglish (US)
Pages (from-to)1078-1087
Number of pages10
JournalCancer research
Volume80
Issue number5
DOIs
StatePublished - Mar 1 2020
Externally publishedYes

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Fingerprint

Dive into the research topics of 'Linking transcriptomic and imaging data defines features of a favorable tumor immune microenvironment and identifies a combination biomarker for primary melanoma'. Together they form a unique fingerprint.

Cite this