Literature DB >> 33348579

Characteristics of the Tumor Microenvironment That Influence Immune Cell Functions: Hypoxia, Oxidative Stress, Metabolic Alterations.

Ryan C Augustin1, Greg M Delgoffe2, Yana G Najjar3.   

Abstract

Immunotherapy (IMT) is now a core component of cancer treatment, however, many patients do not respond to these novel therapies. Investigating the resistance mechanisms behind this differential response is now a critical area of research. Immune-based therapies, particularly immune checkpoint inhibitors (ICI), rely on a robust infiltration of T-cells into the tumor microenvironment (TME) for an effective response. While early efforts relied on quantifying tumor infiltrating lymphocytes (TIL) in the TME, characterizing the functional quality and degree of TIL exhaustion correlates more strongly with ICI response. Even with sufficient TME infiltration, immune cells face a harsh metabolic environment that can significantly impair effector function. These tumor-mediated metabolic perturbations include hypoxia, oxidative stress, and metabolites of cellular energetics. Primarily through HIF-1-dependent processes, hypoxia invokes an immunosuppressive phenotype via altered molecular markers, immune cell trafficking, and angiogenesis. Additionally, oxidative stress can promote lipid peroxidation, ER stress, and Treg dysfunction, all associated with immune dysregulation. Finally, the metabolic byproducts of lipids, amino acids, glucose, and cellular energetics are associated with immunosuppression and ICI resistance. This review will explore these biochemical pathways linked to immune cell dysfunction in the TME and highlight potential adjunctive therapies to be used alongside current IMT.

Entities:  

Keywords:  cellular energetics; immunometabolism; immunotherapy

Year:  2020        PMID: 33348579     DOI: 10.3390/cancers12123802

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  26 in total

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Review 3.  Clinical development of metabolic inhibitors for oncology.

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Journal:  J Clin Invest       Date:  2022-01-04       Impact factor: 14.808

4.  Identifying a hypoxia related score to predict the prognosis of bladder cancer: a study with The Cancer Genome Atlas (TCGA) database.

Authors:  Zhenan Zhang; Qinhan Li; Aolin Li; Feng Wang; Zhicun Li; Yisen Meng; Qian Zhang
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Review 5.  Avenues of research in dietary interventions to target tumor metabolism in osteosarcoma.

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6.  XBP1 regulates the protumoral function of tumor-associated macrophages in human colorectal cancer.

Authors:  Yahui Zhao; Weina Zhang; Miaomiao Huo; Peng Wang; Xianghe Liu; Yu Wang; Yinuo Li; Zhixiang Zhou; Ningzhi Xu; Hongxia Zhu
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7.  Identification of Key Genes Related to CD8+ T-Cell Infiltration as Prognostic Biomarkers for Lung Adenocarcinoma.

Authors:  Minjun Du; Yicheng Liang; Zixu Liu; Xingkai Li; Mei Liang; Boxuan Zhou; Yushun Gao
Journal:  Front Oncol       Date:  2021-09-28       Impact factor: 6.244

8.  Identification of N6-Methylandenosine-Related lncRNAs for Subtype Identification and Risk Stratification in Gastric Adenocarcinoma.

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Review 9.  Further Understanding of the Immune Microenvironment in Head and Neck Squamous Cell Carcinoma: Implications for Prognosis.

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Journal:  Cancer Manag Res       Date:  2021-05-17       Impact factor: 3.989

Review 10.  Role of reactive oxygen species in tumors based on the 'seed and soil' theory: A complex interaction (Review).

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