Literature DB >> 30035184

Macrophages as prognostic biomarkers in human melanoma.

Rafael Samaniego1, Alba Gutiérrez-Seijo1, Paloma Sánchez-Mateos1.   

Abstract

Entities:  

Keywords:  CCL20/CCR6; macrophages; melanoma; prognostic factor; protumoral phenotype

Year:  2018        PMID: 30035184      PMCID: PMC6049297          DOI: 10.18632/oncoscience.442

Source DB:  PubMed          Journal:  Oncoscience        ISSN: 2331-4737


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Chemokines produced at the tumor micro-environment can be exploited by tumor cells to proliferate and invade, or may promote tumor growth indirectly by acting on stromal cells. CCR6/CCL20 is a relevant chemotactic axis involved in the progression and dissemination of different human cancers [1]. We have recently shown the existence of a previously unnoticed paracrine loop between stromal CCL20 and tumor CCR6 in primary cutaneous melanoma [2], different to the autocrine loop reported in epithelial tumors [1]. CCL20 expression was largely restricted to the stroma of primary melanomas that eventually developed metastasis, and proved to be a Breslow-independent prognostic factor associated with distant metastasis and worse patient survival. By contrast, we did not find any correlation between tumor CCR6 expression and metastatic dissemination [2]. Among stromal cells, tumor-associated macrophages (TAMs) were clearly identified as the major producers of CCL20 in metastatic primary melanomas [2]. This selective production most probably reflects the capacity of TAMs to adopt distinct activation states or to reprogram their phenotype in response to environmental changes occurring along tumor initiation, progression and dissemination. Several studies in cancer mouse models have shown that TAMs adopt a temporally and spatially varying phenotypic spectrum between the inflammatory/M1 (MHC-IIhi CD11chi) and alternative/M2 (MHC-IIlo CD11clo) polarization extremes [3], whereas reports identifying macrophage subtypes in human cancers are scarce. We selected the proteins CD11c and CD209 as potential polarization markers to discriminate subpopulations of TAMs by multicolor confocal single-cell analysis in human melanoma frozen-tissues. We found that the phenotype of melanoma TAMs (CD14+ CD115+ CD1cCD141−) oscillated between two clearly differentiated subsets, CD11chi CD209lo CD163lo CD163L1lo and CD11clo CD209hi CD163hi CD163L1hi [2], being the last three proteins commonly used as M2-like markers. Interestingly, a similar phenotypic dichotomy has been observed in first-trimester placental and inflammatory bowel disease tissues using CD11c/CD209 as inverse markers. In these studies, CD11chi CD209lo decidual and lamina-propria macrophages were associated with an inflammatory phenotype, whereas CD11clo CD209hi cells displayed profiles more similar to tissue-remodeling and tissue-resident macrophages, respectively [4, 5]. Remarkably, the two opposite TAMs subsets defined by CD11c/CD209 were found in all primary melanomas, independently of whether they were metastatic or non-metastatic during patient follow-up. By contrast, CCL20 was produced by most TAMs in metastatic primary melanomas, independently of other phenotype or subset distinction. Consistently, co-culture assays with melanoma cells induced the production of the chemokine in monocyte-derived macrophages differentiated with either GM-CSF (M1-like) or M-CSF (M2-like) [2]. Importantly, TNF and VEGF-A proteins, which play known tumor-promoting roles [3], were also preferentially produced by TAMs from metastatic primary melanomas [2], independently of the polarization state of macrophages. In line with our results, the tumor-supporting transcriptional profile of blood monocytes from renal cell carcinoma patients included upregulated levels of CCL20, TNF and VEGF-A [6]. Altogether our results suggest that in primary human melanoma, pro-metastasic TAMs might originate as a result of a polarization-independent functional activation process (Figure 1). Our findings do not fit well with the prevalent idea that tumor evolution is associated with the accumulation of a particular polarization state, as shown in longitudinal studies of mouse cancers where a M1>M2 transition occurs during tumor progression [3, 7]. However, primary tumor growth and metastatic spreading are independent processes that may be independently associated with diverse TAM polarization/activation states. Translationally, identification of pro-metastatic TAM protein signatures, such as the one we report in melanoma (CCL20/TNF/VEGF-A), may be useful not only for developing macrophage-centered therapeutic approaches in which tumor-supporting TAMs are potential targets [7], but also as prognostic biomarkers that may help identify patients with higher risk of metastatic spreading in order to guide early treatments.
Figure 1

Schematic representation of the different polarization and activation states of melanoma TAM

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3.  Molecular profiling reveals a tumor-promoting phenotype of monocytes and macrophages in human cancer progression.

Authors:  Manesh Chittezhath; Manprit Kaur Dhillon; Jyue Yuan Lim; Damya Laoui; Irina N Shalova; Yi Ling Teo; Jinmiao Chen; Revathy Kamaraj; Lata Raman; Josephine Lum; Thomas Paulraj Thamboo; Edmund Chiong; Francesca Zolezzi; Henry Yang; Jo A Van Ginderachter; Michael Poidinger; Alvin S C Wong; Subhra K Biswas
Journal:  Immunity       Date:  2014-10-30       Impact factor: 31.745

4.  The Ontogeny and Microenvironmental Regulation of Tumor-Associated Macrophages.

Authors:  Kiavash Movahedi; Jo A Van Ginderachter
Journal:  Antioxid Redox Signal       Date:  2016-05-17       Impact factor: 8.401

Review 5.  Tumour-associated macrophages as treatment targets in oncology.

Authors:  Alberto Mantovani; Federica Marchesi; Alberto Malesci; Luigi Laghi; Paola Allavena
Journal:  Nat Rev Clin Oncol       Date:  2017-01-24       Impact factor: 66.675

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1.  A Differentiation-Related Gene Prognostic Index Contributes to Prognosis and Immunotherapy Evaluation in Patients with Hepatocellular Carcinoma.

Authors:  Jingjing Xiao; Tao Liu; Zhenhua Liu; Chuan Xiao; Jun Du; Shi Zuo; Haiyang Li; Huajian Gu
Journal:  Cells       Date:  2022-07-26       Impact factor: 7.666

  1 in total

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