Immune signatures predict prognosis in localized cancer.

Journal Article (Journal Article)

The host immune response can impact cancer growth, prognosis, and response to therapy. In colorectal cancer, the presence of cells involved with T-cell-mediated adaptive immunity predicts survival better than the current staging method. We used the expression of genes recently associated with host immune responses (T(H1)-mediated adaptive immunity, inflammation, and immune suppression) to perform hierarchical clustering of multiple large cohorts of cancer specimens to determine if immune-related gene expression resulted in clinical significant groupings of tumors. Microarray data from prostate cancer (n = 79), breast cancer (n = 132), lung cancer (n = 84), glioblastoma multiforme (n = 120), and lymphoma (n = 127) were analyzed. Among adenocarcinomas, the T(H1)-mediated adaptive immunity genes were consistently associated with better prognosis, while genes associated with inflammation and immune suppression were variably associated with outcome. Specifically, increased expression of the T(H1)-mediated adaptive immunity genes was associated with good prognosis in breast cancer patients under 45 years of age (p = .04, hazard ratio [HR] = 0.42) and in prostate cancer patients (p = .03, HR = 0.36) but not in lung cancer patients (p = 0.45, HR = 1.37). In lymphoma, patients with increased expression of inflammation and immune suppression genes had better prognosis than those expressing the T(H1)-mediated adaptive immunity genes (p = .01, HR = 0.43) and in glioblastoma multiforme, the expression of inflammation genes conferred improved prognosis than those expressing immune suppression genes (p = 0.05, HR = 0.62). In aggregate, the gene expression signatures implicating specific components of the immune response hold prognostic import across solid tumors.

Full Text

Duke Authors

Cited Authors

  • Hsu, DS; Kim, MK; Balakumaran, BS; Acharya, CR; Anders, CK; Clay, T; Lyerly, HK; Drake, CG; Morse, MA; Febbo, PG

Published Date

  • August 2010

Published In

Volume / Issue

  • 28 / 7

Start / End Page

  • 765 - 773

PubMed ID

  • 20569070

Pubmed Central ID

  • PMC4486063

Electronic International Standard Serial Number (EISSN)

  • 1532-4192

Digital Object Identifier (DOI)

  • 10.3109/07357900903095755


  • eng

Conference Location

  • England