TY - JOUR
T1 - Immune cell infiltrates and prognosis in localized prostate cancer†
AU - Sfanos, Karen S.
N1 - Funding Information:
The following funding sources are acknowledged: Department of Defense Prostate Cancer Research Program, Award Numbers W81XWH‐14‐1‐0364 and W81XWH‐17‐1‐0286; Prostate Cancer Foundation Challenge Award 19CHAS03.
Publisher Copyright:
© 2021 The Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
PY - 2022/2
Y1 - 2022/2
N2 - Multiple lines of evidence indicate that quantification of immune cell infiltrates in primary prostate cancer can predict outcomes after radical prostatectomy, including biochemical recurrence, metastasis, and death from prostate cancer. In a recent issue of The Journal of Pathology, Andersen et al explored the predictive value of cancer tissue infiltration of seven immune cell types (mast cells, M1 macrophages, M2 macrophages, B cells, T helper cells, cytotoxic T cells, and regulatory T cells) in association with biochemical recurrence after radical prostatectomy. In addition to reporting a potential association between cancer-infiltrating regulatory T cells and M1 and M2 macrophages and biochemical recurrence, the study also highlighted the use of multiplex digital pathology analyses to assess adverse predictors of prostate cancer outcomes.
AB - Multiple lines of evidence indicate that quantification of immune cell infiltrates in primary prostate cancer can predict outcomes after radical prostatectomy, including biochemical recurrence, metastasis, and death from prostate cancer. In a recent issue of The Journal of Pathology, Andersen et al explored the predictive value of cancer tissue infiltration of seven immune cell types (mast cells, M1 macrophages, M2 macrophages, B cells, T helper cells, cytotoxic T cells, and regulatory T cells) in association with biochemical recurrence after radical prostatectomy. In addition to reporting a potential association between cancer-infiltrating regulatory T cells and M1 and M2 macrophages and biochemical recurrence, the study also highlighted the use of multiplex digital pathology analyses to assess adverse predictors of prostate cancer outcomes.
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U2 - 10.1002/path.5817
DO - 10.1002/path.5817
M3 - Comment/debate
C2 - 34694014
AN - SCOPUS:85119682762
SN - 0022-3417
VL - 256
SP - 135
EP - 138
JO - Journal of Pathology
JF - Journal of Pathology
IS - 2
ER -