Literature DB >> 24794251

Infiltration of CD3⁺ and CD68⁺ cells in bladder cancer is subtype specific and affects the outcome of patients with muscle-invasive tumors.

Gottfrid Sjödahl1, Kristina Lövgren1, Martin Lauss1, Gunilla Chebil1, Oliver Patschan2, Sigurdur Gudjonsson2, Wiking Månsson2, Mårten Fernö1, Karin Leandersson3, David Lindgren3, Fredrik Liedberg2, Mattias Höglund4.   

Abstract

OBJECTIVES: Urothelial carcinoma (UC) aggressiveness is determined by tumor inherent molecular characteristics, such as molecular subtypes, as well as by host reactions directed toward the tumor. Cell types responsible for the host's response include tumor-infiltrating lymphocytes (TILs) and tumor-associated macrophages (TAMs). The aim of the present investigation was to explore the immunological response in relation to UC molecular subtypes and to evaluate the prognostic effect of TIL and TAM counts in tissue sections from muscle-invasive (MI) tumors. METHODS AND MATERIALS: Tissue microarrays with 296 tumors spanning all pathological stages and grades were analyzed with antibodies for CD3, CD8, FOXP3, CD68, and CD163. Cases were classified into the following molecular subtypes: urobasal, genomically unstable, and squamous cell carcinoma-like using a combination of immunohistochemistry and histology. The Cox regression and Kaplan-Meier analyses were performed with progression-free survival and disease-specific survival as end points.
RESULTS: UC molecular subtypes demonstrate different degrees of immunological responses; the urobasal subtype induces a weak response, the genomically unstable subtype induces an intermediate response, and the squamous cell carcinoma-like subtype induces a strong response. These subtype specific responses are independent of tumor stage and include both TILs and TAMs. The presence of infiltrating CD3(+) TILs was significantly associated with good prognosis in the MI cases (P<0.01). This positive association was modulated by the presence of CD68(+) TAMs. The strongest association with poor survival was observed for a high ratio between CD68 and CD3 (P = 7×10(-5)).
CONCLUSION: UC molecular subtypes induce immunological responses at different levels. A high CD68/CD3 ratio identifies a bad prognosis group among MI UC cases.
Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bladder cancer; CD3 antigen; CD68 antigen; Molecular subtypes; Prognosis; T cells

Mesh:

Substances:

Year:  2014        PMID: 24794251     DOI: 10.1016/j.urolonc.2014.02.007

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  45 in total

1.  Prognostic impact of tumor infiltrating lymphocytes in bladder urothelial carcinoma.

Authors:  Hyung Suk Kim; Ja Hyeon Ku
Journal:  Transl Androl Urol       Date:  2019-07

2.  COX2/mPGES1/PGE2 pathway regulates PD-L1 expression in tumor-associated macrophages and myeloid-derived suppressor cells.

Authors:  Victor Prima; Lyudmila N Kaliberova; Sergey Kaliberov; David T Curiel; Sergei Kusmartsev
Journal:  Proc Natl Acad Sci U S A       Date:  2017-01-17       Impact factor: 11.205

3.  CD68/macrosialin: not just a histochemical marker.

Authors:  Dimitry A Chistiakov; Murry C Killingsworth; Veronika A Myasoedova; Alexander N Orekhov; Yuri V Bobryshev
Journal:  Lab Invest       Date:  2016-11-21       Impact factor: 5.662

Review 4.  Bladder cancer, inflammageing and microbiomes.

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5.  Neurexophilin 4 is a prognostic biomarker correlated with immune infiltration in bladder cancer.

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Journal:  Bioengineered       Date:  2022-05       Impact factor: 6.832

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7.  High expression of B7-H3 and CD163 in cancer tissues indicates malignant clinicopathological status and poor prognosis of patients with urothelial cell carcinoma of the bladder.

Authors:  Zhili Xu; Ling Wang; Jianhua Tian; Hongwei Man; Pengfei Li; Baoen Shan
Journal:  Oncol Lett       Date:  2018-03-05       Impact factor: 2.967

8.  The Tumor Microenvironment of Bladder Cancer.

Authors:  Ken Hatogai; Randy F Sweis
Journal:  Adv Exp Med Biol       Date:  2020       Impact factor: 2.622

9.  Multiresolution Application of Artificial Intelligence in Digital Pathology for Prediction of Positive Lymph Nodes From Primary Tumors in Bladder Cancer.

Authors:  Stephanie A Harmon; Thomas H Sanford; G Thomas Brown; Chris Yang; Sherif Mehralivand; Joseph M Jacob; Vladimir A Valera; Joanna H Shih; Piyush K Agarwal; Peter L Choyke; Baris Turkbey
Journal:  JCO Clin Cancer Inform       Date:  2020-04

10.  Overexpressed pseudogene MT1L associated with tumor immune infiltrates and indicates a worse prognosis in BLCA.

Authors:  Yanpeng Ding; Nuomin Liu; Mengge Chen; Yulian Xu; Sha Fang; Wenbin Xiang; Xinying Hua; Gaili Chen; Yahua Zhong; Haijun Yu
Journal:  World J Surg Oncol       Date:  2021-04-22       Impact factor: 2.754

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