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Genomic Analysis of Immune Cell Infiltrates Across 11 Tumor Types

Open access
Iglesia, Michael D., Parker, Joel S., Hoadley, Katherine A., Serody, Jonathan S., Perou, Charles M., Vincent, Benjamin G.·2016·Journal of the National Cancer Institute

Abstract

BACKGROUND: Immune infiltration of the tumor microenvironment has been associated with improved survival for some patients with solid tumors. The precise makeup and prognostic relevance of immune infiltrates across a broad spectrum of tumors remain unclear. METHODS: Using mRNA sequencing data from The Cancer Genome Atlas (TCGA) from 11 tumor types representing 3485 tumors, we evaluated lymphocyte and macrophage gene expression by tissue type and by genomic subtypes defined within and across tumor tissue of origin (Cox proportional hazards, Pearson correlation). We investigated clonal diversity of B-cell infiltrates through calculating B-cell receptor (BCR) repertoire sequence diversity. All statistical tests were two-sided. RESULTS: High expression of T-cell and B-cell signatures predicted improved overall survival across many tumor types including breast, lung, and melanoma (breast CD8_T_Cells hazard ratio [HR] = 0.36, 95% confidence interval [CI] = 0.16 to 0.81, P = .01; lung adenocarcinoma B_Cell_60gene HR = 0.71, 95% CI = 0.58 to 0.87, P = 7.80E-04; melanoma LCK HR = 0.86, 95% CI = 0.79 to 0.94, P = 6.75E-04). Macrophage signatures predicted worse survival in GBM, as did B-cell signatures in renal tumors (Glioblastoma Multiforme [GBM]: macrophages HR = 1.62, 95% CI = 1.17 to 2.26, P = .004; renal: B_Cell_60gene HR = 1.17, 95% CI = 1.04 to 1.32, P = .009). BCR diversity was associated with survival beyond gene segment expression in melanoma (HR = 2.67, 95% CI = 1.32 to 5.40, P = .02) and renal cell carcinoma (HR = 0.36, 95% CI = 0.15 to 0.87, P = .006). CONCLUSIONS: These data support existing studies suggesting that in diverse tissue types, heterogeneous immune infiltrates are present and typically portend an improved prognosis. In some tumor types, BCR diversity was also associated with survival. Quantitative genomic signatures of immune cells warrant further testing as prognostic markers and potential biomarkers of response to cancer immunotherapy.

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Metadata

Authors
Iglesia, M. D., Parker, J. S., Hoadley, K. A., Serody, J. S., Perou, C. M., & Vincent, B. G.
Venue
Journal of the National Cancer Institute
Published
2016-06-22
Volume
108
Issue
11
Pages
djw144
ISSN
  • 0027-8874 (ISSN-L)
  • 1460-2105
OpenAlex
W2471873673
Cited by
360
References
12
FWCI
14.06
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Genomic Analysis of Immune Cell Infiltrates Across 11 Tumor Types. https://app.cochat.ai/papers/10.1093/jnci/djw144
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Iglesia, M. D., Parker, J. S., Hoadley, K. A., Serody, J. S., Perou, C. M., & Vincent, B. G. (2016). Genomic Analysis of Immune Cell Infiltrates Across 11 Tumor Types. Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/djw144

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