Literature DB >> 15842633

Characterization of macrophage subpopulations in colon cancer using tissue microarrays.

D Sickert1, D E Aust, S Langer, I Haupt, G B Baretton, P Dieter.   

Abstract

AIMS: To determine the pattern of macrophage infiltration in colon cancers and its correlation with clinicopathological characteristics. METHODS AND
RESULTS: Colon cancers from 100 patients were arrayed into a tissue microarray (TMA). Four cores per tumour were taken: three from the invasion front (IF) and one from the tumour surface (TS). Macrophages were quantified by immunohistochemistry with antibodies to the PG-M1, KP-1, MRP8, MRP14 and MRP8/14 antigens. The number of macrophages was significantly higher in the TS cores than in the IF cores and both tumour sites showed a higher number of macrophages than the normal mucosa. The number of macrophages decreased in higher stage tumours. The different tumour-associated macrophage (TAM) subpopulations were positively correlated with each other.
CONCLUSIONS: The increased number of macrophages in cancers compared with normal colon mucosa indicates that macrophages are attracted to the tumour site. However, decreasing macrophages in higher stage colon cancers suggest that this attraction decreases with tumour progression.

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Year:  2005        PMID: 15842633     DOI: 10.1111/j.1365-2559.2005.02129.x

Source DB:  PubMed          Journal:  Histopathology        ISSN: 0309-0167            Impact factor:   5.087


  15 in total

1.  The density of macrophages in colorectal cancer is inversely correlated to TGF-β1 expression and patients' survival.

Authors:  Maya Gulubova; Julian Ananiev; Yovchev Yovchev; Aleksander Julianov; Anatoli Karashmalakov; Tatyana Vlaykova
Journal:  J Mol Histol       Date:  2013-06-26       Impact factor: 2.611

2.  The tumor microenvironment in colorectal carcinogenesis.

Authors:  Vijay G Peddareddigari; Dingzhi Wang; Raymond N Dubois
Journal:  Cancer Microenviron       Date:  2010-03-05

Review 3.  Evolving notions on immune response in colorectal cancer and their implications for biomarker development.

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Journal:  Inflamm Res       Date:  2018-01-10       Impact factor: 4.575

Review 4.  Tumor-Associated Macrophages in Human Breast, Colorectal, Lung, Ovarian and Prostate Cancers.

Authors:  Irina Larionova; Gulnara Tuguzbaeva; Anastasia Ponomaryova; Marina Stakheyeva; Nadezhda Cherdyntseva; Valentin Pavlov; Evgeniy Choinzonov; Julia Kzhyshkowska
Journal:  Front Oncol       Date:  2020-10-22       Impact factor: 6.244

5.  Innate immune signaling by Toll-like receptor-4 (TLR4) shapes the inflammatory microenvironment in colitis-associated tumors.

Authors:  Masayuki Fukata; Yasmin Hernandez; Daisy Conduah; Jason Cohen; Anli Chen; Keith Breglio; Tyralee Goo; David Hsu; Ruliang Xu; Maria T Abreu
Journal:  Inflamm Bowel Dis       Date:  2009-07       Impact factor: 5.325

6.  Clinical evaluation of systemic and local immune responses in cancer: time for integration.

Authors:  Dmitriy W Gutkin; Michael R Shurin
Journal:  Cancer Immunol Immunother       Date:  2013-10-08       Impact factor: 6.968

Review 7.  Biological markers of prognosis, response to therapy and outcome in ovarian carcinoma.

Authors:  Marta Szajnik; Małgorzata Czystowska-Kuźmicz; Esther Elishaev; Theresa L Whiteside
Journal:  Expert Rev Mol Diagn       Date:  2016-06-23       Impact factor: 5.225

8.  Prognostic significance of tumor-associated macrophages in solid tumor: a meta-analysis of the literature.

Authors:  Qiong-wen Zhang; Lei Liu; Chang-yang Gong; Hua-shan Shi; Yun-hui Zeng; Xiao-ze Wang; Yu-wei Zhao; Yu-quan Wei
Journal:  PLoS One       Date:  2012-12-28       Impact factor: 3.240

9.  Tumor-infiltrating macrophages and dendritic cells in human colorectal cancer: relation to local regulatory T cells, systemic T-cell response against tumor-associated antigens and survival.

Authors:  Dirk Nagorsen; Sabine Voigt; Erika Berg; Harald Stein; Eckhard Thiel; Christoph Loddenkemper
Journal:  J Transl Med       Date:  2007-11-29       Impact factor: 5.531

10.  Coexpression analysis of large cancer datasets provides insight into the cellular phenotypes of the tumour microenvironment.

Authors:  Tamasin N Doig; David A Hume; Thanasis Theocharidis; John R Goodlad; Christopher D Gregory; Tom C Freeman
Journal:  BMC Genomics       Date:  2013-07-11       Impact factor: 3.969

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