Prognostic Significance of Tumor-Infiltrating B Cells and Plasma Cells in Human Cancer.
Maartje C A WoutersBrad H NelsonPublished in: Clinical cancer research : an official journal of the American Association for Cancer Research (2018)
There is abundant evidence that tumor-infiltrating CD8+ T cells contribute positively to antitumor immunity; however, the role of tumor-infiltrating B cells (TIL-B) and plasma cells (PC) remains controversial, leading to differing opinions about whether immunotherapies should be designed to enhance or inhibit these cells. Through a comprehensive PubMed search, we reviewed publications with cohorts of 50 or more cases in which the prognostic value of TIL-B/PC was assessed by immunohistochemistry and/or gene-expression analysis. Sixty-nine studies representing 19 cancers met our review criteria. The large majority of studies assessed TIL-B by immunohistochemical detection of CD20. Of these, 50.0% reported a positive prognostic effect for CD20+ TIL-B, whereas the remainder found a neutral (40.7%) or negative (9.3%) effect. These differences in prognostic effect were not attributable to cancer type, other clinicopathologic factors, or differing technical approaches. The prognostic significance of TIL-B/PC was generally concordant with that of CD3+ and/or CD8+ T cells, and the prognostic effect of T cells was generally stronger when TIL-B and/or PC were also present. Additionally, 21 studies inferred the presence of TIL-B/PC from gene-expression data, and a large majority reported a positive prognostic effect. Although more studies are required involving additional cancer types and independent patient cohorts, the weight of evidence supports a positive role for TIL-B and PC in antitumor immunity, suggesting that enhancement of these responses should be considered in the design of cancer immunotherapies.
Keyphrases
- papillary thyroid
- induced apoptosis
- gene expression
- squamous cell
- cell cycle arrest
- lymph node metastasis
- endothelial cells
- case control
- body mass index
- oxidative stress
- genome wide
- physical activity
- cell death
- electronic health record
- case report
- machine learning
- childhood cancer
- young adults
- endoplasmic reticulum stress
- nk cells
- weight loss
- genome wide identification
- sensitive detection
- label free