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Tumor Biology and Immunology

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 and Yvonne M. Saenger
Robyn D. Gartrell-Corrado
1Department of Pediatrics, Columbia University Irving Medical Center, New York, New York.
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Andrew X. Chen
2Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
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  • ORCID record for Andrew X. Chen
Emanuelle M. Rizk
3Department of Medicine, Columbia University Irving Medical Center, New York, New York.
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Douglas K. Marks
4Department of Medicine, New York University Langone Health, New York, New York.
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Margaret H. Bogardus
2Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
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Thomas D. Hart
3Department of Medicine, Columbia University Irving Medical Center, New York, New York.
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Andrew M. Silverman
1Department of Pediatrics, Columbia University Irving Medical Center, New York, New York.
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Claire-Audrey Y. Bayan
2Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
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Grace G. Finkel
2Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
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Luke W. Barker
2Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
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Kimberly M. Komatsubara
3Department of Medicine, Columbia University Irving Medical Center, New York, New York.
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Richard D. Carvajal
3Department of Medicine, Columbia University Irving Medical Center, New York, New York.
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Basil A. Horst
5Department of Pathology, University of British Columbia, Vancouver, British Columbia, Canada.
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Rui Chang
6Department of Neurology, University of Arizona, Tucson, Arizona.
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Anthea Monod
7Department of Applied Mathematics, Tel Aviv University, Tel Aviv, Israel.
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Raul Rabadan
8Department of Systems Biology, Columbia University Irving Medical Center, New York, New York.
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Yvonne M. Saenger
3Department of Medicine, Columbia University Irving Medical Center, New York, New York.
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  • For correspondence: yms4@cumc.columbia.edu
DOI: 10.1158/0008-5472.CAN-19-2039 Published March 2020
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Abstract

Patients with resected stage II-III melanoma have approximately a 35% chance of death 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 transcriptomic 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.

Footnotes

  • Note: Supplementary data for this article are available at Cancer Research Online (http://cancerres.aacrjournals.org/).

  • Cancer Res 2020;80:1078–87

  • Received July 22, 2019.
  • Revision received November 25, 2019.
  • Accepted January 10, 2020.
  • Published first January 16, 2020.
  • ©2020 American Association for Cancer Research.
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Cancer Research: 80 (5)
March 2020
Volume 80, Issue 5
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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 and Yvonne M. Saenger
Cancer Res March 1 2020 (80) (5) 1078-1087; DOI: 10.1158/0008-5472.CAN-19-2039

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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 and Yvonne M. Saenger
Cancer Res March 1 2020 (80) (5) 1078-1087; DOI: 10.1158/0008-5472.CAN-19-2039
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