Literature DB >> 34255349

Immune cell analyses of the tumor microenvironment in prostate cancer highlight infiltrating regulatory T cells and macrophages as adverse prognostic factors.

Line B Andersen1,2, Maibritt Nørgaard1,2, Martin Rasmussen1,2, Jacob Fredsøe1,2, Michael Borre2,3, Benedicte P Ulhøi2,4, Karina D Sørensen1,2.   

Abstract

Improved risk stratification is needed for patients with localized prostate cancer. This study characterized and assessed the prognostic potential of distinct immune cell infiltration patterns in the prostate tumor microenvironment. Using tissue microarrays, multiplex immunohistochemistry/immunofluorescence, and automated digital pathology, we analyzed radical prostatectomy specimens from two large patient cohorts (training: n = 470; validation: n = 333) to determine infiltration levels of seven immune cell types in malignant versus benign prostate tissue: CD3+ CD8- FoxP3- T helper cells, CD3+ CD8+ FoxP3- cytotoxic T cells (CTLs), CD3+ CD8- FoxP3+ regulatory T cells (Tregs ), CD20+ B cells, CD68+ CD163- M1 macrophages, CD68+ CD163+ M2 macrophages, and tryptase+ mast cells. Results were further validated by cell type enrichment analyses of bulk tumor RNAseq data from a third independent patient cohort (n = 99). Prognostic potential was assessed by Kaplan-Meier and uni-/multi-variate Cox regression analyses. Clinical endpoint was biochemical recurrence. All seven immune cell types were enriched in prostate cancer versus benign stroma, while there was selective enrichment for B cells, Tregs , M1 and M2 macrophages, and depletion of mast cells and CTLs in prostate cancer epithelium. In all three cohorts, high levels of infiltrating Tregs , M1, and M2 macrophages in stroma and/or epithelium were associated with biochemical recurrence (p < 0.05; log-rank test). After adjustment for routine clinical variables, Tregs and M2 macrophages remained significant adverse predictors of biochemical recurrence (p < 0.05; multivariate Cox regression). Our comprehensive analyses of immune cell infiltration patterns in the prostate tumor microenvironment highlight infiltrating Tregs , M1, and M2 macrophages as adverse predictors of prostate cancer outcome.
© 2021 The Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd. © 2021 The Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

Entities:  

Keywords:  RNA sequencing; biomarker; digital pathology; immune cells; prostate cancer; tumor microenvironment

Mesh:

Year:  2021        PMID: 34255349     DOI: 10.1002/path.5757

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  5 in total

Review 1.  Prostate cancer immunotherapy: a review of recent advancements with novel treatment methods and efficacy.

Authors:  Ian Wang; Liankun Song; Beverly Y Wang; Arash Rezazadeh Kalebasty; Edward Uchio; Xiaolin Zi
Journal:  Am J Clin Exp Urol       Date:  2022-08-15

2.  High Expression of PDLIM2 Predicts a Poor Prognosis in Prostate Cancer and Is Correlated with Epithelial-Mesenchymal Transition and Immune Cell Infiltration.

Authors:  Songzhe Piao; Lan Zheng; Haihong Zheng; Mengya Zhou; Qin Feng; Suna Zhou; Mang Ke; Haihua Yang; Xuequan Wang
Journal:  J Immunol Res       Date:  2022-06-06       Impact factor: 4.493

3.  CD8-positive T cells and CD204-positive M2-like macrophages predict postoperative prognosis of very high-risk prostate cancer.

Authors:  Yoshinori Yanai; Takeo Kosaka; Shuji Mikami; Hiroshi Hongo; Yota Yasumizu; Toshikazu Takeda; Kazuhiro Matsumoto; Jun Miyauchi; Shigehisa Kitano; Mototsugu Oya
Journal:  Sci Rep       Date:  2021-11-18       Impact factor: 4.379

4.  Identification of Prostate Cancer Risk Genetics Biomarkers Based on Intergraded Bioinformatics Analysis.

Authors:  Xiangdong Liang; Yanchao Wang; Long Pei; Xiaoliang Tan; Chunhui Dong
Journal:  Front Surg       Date:  2022-03-17

5.  CircSMARCC1 facilitates tumor progression by disrupting the crosstalk between prostate cancer cells and tumor-associated macrophages via miR-1322/CCL20/CCR6 signaling.

Authors:  Tao Xie; Du-Jiang Fu; Zhi-Min Li; Dao-Jun Lv; Xian-Lu Song; Yu-Zhong Yu; Chong Wang; Kang-Jin Li; Baoqian Zhai; Jiacheng Wu; Ning-Han Feng; Shan-Chao Zhao
Journal:  Mol Cancer       Date:  2022-09-01       Impact factor: 41.444

  5 in total

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