Literature DB >> 33540679

Mapping the Metabolic Networks of Tumor Cells and Cancer-Associated Fibroblasts.

Jessica Karta1, Ysaline Bossicard1, Konstantinos Kotzamanis1, Helmut Dolznig2, Elisabeth Letellier1.   

Abstract

Metabolism is considered to be the core of all cellular activity. Thus, extensive studies of metabolic processes are ongoing in various fields of biology, including cancer research. Cancer cells are known to adapt their metabolism to sustain high proliferation rates and survive in unfavorable environments with low oxygen and nutrient concentrations. Hence, targeting cancer cell metabolism is a promising therapeutic strategy in cancer research. However, cancers consist not only of genetically altered tumor cells but are interwoven with endothelial cells, immune cells and fibroblasts, which together with the extracellular matrix (ECM) constitute the tumor microenvironment (TME). Cancer-associated fibroblasts (CAFs), which are linked to poor prognosis in different cancer types, are one important component of the TME. CAFs play a significant role in reprogramming the metabolic landscape of tumor cells, but how, and in what manner, this interaction takes place remains rather unclear. This review aims to highlight the metabolic landscape of tumor cells and CAFs, including their recently identified subtypes, in different tumor types. In addition, we discuss various in vitro and in vivo metabolic techniques as well as different in silico computational tools that can be used to identify and characterize CAF-tumor cell interactions. Finally, we provide our view on how mapping the complex metabolic networks of stromal-tumor metabolism will help in finding novel metabolic targets for cancer treatment.

Entities:  

Keywords:  CAF-tumor cross-talk; cancer; cancer-associated fibroblasts (CAFs); in silico modeling; metabolomics’ measurement techniques; personalized metabolic drugs; tumor metabolism

Year:  2021        PMID: 33540679      PMCID: PMC7912987          DOI: 10.3390/cells10020304

Source DB:  PubMed          Journal:  Cells        ISSN: 2073-4409            Impact factor:   6.600


  133 in total

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7.  Metabolic Profiling of healthy and cancerous tissues in 2D and 3D.

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Review 8.  The Diverse Functions of Non-Essential Amino Acids in Cancer.

Authors:  Bo-Hyun Choi; Jonathan L Coloff
Journal:  Cancers (Basel)       Date:  2019-05-15       Impact factor: 6.639

9.  Nodal Facilitates Differentiation of Fibroblasts to Cancer-Associated Fibroblasts that Support Tumor Growth in Melanoma and Colorectal Cancer.

Authors:  Ziqian Li; Junjie Zhang; Jiawang Zhou; Linlin Lu; Hongsheng Wang; Ge Zhang; Guohui Wan; Shaohui Cai; Jun Du
Journal:  Cells       Date:  2019-06-04       Impact factor: 6.600

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Authors:  Angelica Avagliano; Giuseppina Granato; Maria Rosaria Ruocco; Veronica Romano; Immacolata Belviso; Antonia Carfora; Stefania Montagnani; Alessandro Arcucci
Journal:  Biomed Res Int       Date:  2018-06-05       Impact factor: 3.411

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  8 in total

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Journal:  Cancer Metastasis Rev       Date:  2022-01-14       Impact factor: 9.264

2.  Metabolomic Biomarkers in Blood Samples Identify Cancers in a Mixed Population of Patients with Nonspecific Symptoms.

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Review 4.  Natural Compounds as Metabolic Modulators of the Tumor Microenvironment.

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Journal:  Molecules       Date:  2021-06-08       Impact factor: 4.411

5.  Profiling Cancer-Associated Fibroblasts in Melanoma.

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Review 6.  Natural Compounds Targeting Cancer-Associated Fibroblasts against Digestive System Tumor Progression: Therapeutic Insights.

Authors:  Kuan-Jung Chiu; Hsin-Ying Clair Chiou; Chi-Han Huang; Pin-Chun Lu; Hui-Ru Kuo; Jiunn-Wei Wang; Ming-Hong Lin
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Review 7.  Metabolic reprogramming of cancer-associated fibroblasts and its effect on cancer cell reprogramming.

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Review 8.  Metabolism in the Tumour-Bone Microenvironment.

Authors:  Jessica Whitburn; Claire M Edwards
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  8 in total

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