Literature DB >> 34340886

Integrating metabolic reprogramming and metabolic imaging to predict breast cancer therapeutic responses.

Yi Liu1, Qian Zhou2, Shaoli Song3, Shuang Tang4.   

Abstract

Metabolic reprogramming is not only an emerging hallmark of cancer, but also an essential regulator of cancer cell adaptation to the microenvironment. Metabolic imaging targeting metabolic signatures has been widely used for breast cancer diagnosis. However, limited implications have been explored for monitoring breast cancer therapy response, although metabolic plasticity is notably associated with therapy resistance. In this review, we focus on the metabolic alterations upon breast cancer therapy and their potential for evaluating breast cancer therapeutic responses. We summarize the metabolic network and regulatory changes upon breast cancer therapy in terms of cancer pathological and genetic differences and discuss the implications of metabolic imaging with various probes in selecting target beneficiaries for precision treatment.
Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  breast cancer; metabolic imaging; metabolic reprogramming; therapeutic response

Mesh:

Year:  2021        PMID: 34340886     DOI: 10.1016/j.tem.2021.07.001

Source DB:  PubMed          Journal:  Trends Endocrinol Metab        ISSN: 1043-2760            Impact factor:   12.015


  3 in total

1.  MiR-489-3p Reduced Pancreatic Cancer Proliferation and Metastasis By Targeting PKM2 and LDHA Involving Glycolysis.

Authors:  Dan Zhang; Zhiwei He; Yiyi Shen; Jie Wang; Tao Liu; Jianxin Jiang
Journal:  Front Oncol       Date:  2021-11-12       Impact factor: 6.244

2.  Metabolic Features of Saliva in Breast Cancer Patients.

Authors:  Lyudmila V Bel'skaya; Elena A Sarf; Denis V Solomatin; Victor K Kosenok
Journal:  Metabolites       Date:  2022-02-10

Review 3.  Tumor Glucose and Fatty Acid Metabolism in the Context of Anthracycline and Taxane-Based (Neo)Adjuvant Chemotherapy in Breast Carcinomas.

Authors:  Anna Mária Tőkés; Stefan Vári-Kakas; Janina Kulka; Beáta Törőcsik
Journal:  Front Oncol       Date:  2022-03-31       Impact factor: 6.244

  3 in total

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