Literature DB >> 30633389

Cancer metabolism in a snapshot: MRS(I).

Margarida Julià-Sapé1,2,3, Ana Paula Candiota1,2,3, Carles Arús1,2,3.   

Abstract

The contribution of MRS(I) to the in vivo evaluation of cancer-metabolism-derived metrics, mostly since 2016, is reviewed here. Increased carbon consumption by tumour cells, which are highly glycolytic, is now being sampled by 13 C magnetic resonance spectroscopic imaging (MRSI) following the injection of hyperpolarized [1-13 C] pyruvate (Pyr). Hot-spots of, mostly, increased lactate dehydrogenase activity or flow between Pyr and lactate (Lac) have been seen with cancer progression in prostate (preclinical and in humans), brain and pancreas (both preclinical) tumours. Therapy response is usually signalled by decreased Lac/Pyr 13 C-labelled ratio with respect to untreated or non-responding tumour. For therapeutic agents inducing tumour hypoxia, the 13 C-labelled Lac/bicarbonate ratio may be a better metric than the Lac/Pyr ratio. 31 P MRSI may sample intracellular pH changes from brain tumours (acidification upon antiangiogenic treatment, basification at fast proliferation and relapse). The steady state tumour metabolome pattern is still in use for cancer evaluation. Metrics used for this range from quantification of single oncometabolites (such as 2-hydroxyglutarate in mutant IDH1 glial brain tumours) to selected metabolite ratios (such as total choline to N-acetylaspartate (plain ratio or CNI index)) or the whole 1 H MRSI(I) pattern through pattern recognition analysis. These approaches have been applied to address different questions such as tumour subtype definition, following/predicting the response to therapy or defining better resection or radiosurgery limits.
© 2019 John Wiley & Sons, Ltd.

Entities:  

Keywords:  MRS and MRSI methods; animal model study; cancer; cellular and molecular cancer imaging; hyperpolarized C-13; phosphorus MRS/MRSI

Mesh:

Substances:

Year:  2019        PMID: 30633389     DOI: 10.1002/nbm.4054

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  7 in total

Review 1.  Clinical Applications of Magnetic Resonance Spectroscopy in Brain Tumors: From Diagnosis to Treatment.

Authors:  Brent D Weinberg; Manohar Kuruva; Hyunsuk Shim; Mark E Mullins
Journal:  Radiol Clin North Am       Date:  2021-03-23       Impact factor: 2.303

2.  Magnetic resonance spectroscopy associations with clinicopathologic features of estrogen-dependent endometrial cancer.

Authors:  Jie Zhang; Qingwei Liu; Jie Li; Zhiling Liu; Ximing Wang; Na Li; Zhaoqin Huang; Han Xu
Journal:  BMC Med Imaging       Date:  2022-07-18       Impact factor: 2.795

3.  Anti-PD-1 Immunotherapy in Preclinical GL261 Glioblastoma: Influence of Therapeutic Parameters and Non-Invasive Response Biomarker Assessment with MRSI-Based Approaches.

Authors:  Shuang Wu; Pilar Calero-Pérez; Carles Arús; Ana Paula Candiota
Journal:  Int J Mol Sci       Date:  2020-11-20       Impact factor: 5.923

4.  The contribution of the 1H-MRS lipid signal to cervical cancer prognosis: a preliminary study.

Authors:  Miriam Dolciami; Rossella Canese; Claudia Testa; Angelina Pernazza; Giusi Santangelo; Innocenza Palaia; Carlo Della Rocca; Carlo Catalano; Lucia Manganaro
Journal:  Eur Radiol Exp       Date:  2022-10-03

5.  Similar Theory of Mind Deficits in Community Dwelling Older Adults with Vascular Risk Profile and Patients with Mild Cognitive Impairment: The Case of Paradoxical Sarcasm Comprehension.

Authors:  Glykeria Tsentidou; Despina Moraitou; Magda Tsolaki
Journal:  Brain Sci       Date:  2021-05-13

6.  A Noninvasive Comparison Study between Human Gliomas with IDH1 and IDH2 Mutations by MR Spectroscopy.

Authors:  Xin Shen; Natalie L Voets; Sarah J Larkin; Nick de Pennington; Puneet Plaha; Richard Stacey; James S O McCullagh; Christopher J Schofield; Stuart Clare; Peter Jezzard; Tom Cadoux-Hudson; Olaf Ansorge; Uzay E Emir
Journal:  Metabolites       Date:  2019-02-20

7.  Reversed metabolic reprogramming as a measure of cancer treatment efficacy in rat C6 glioma model.

Authors:  Keshav Datta; Mette H Lauritzen; Milton Merchant; Taichang Jang; Shie-Chau Liu; Ralph Hurd; Lawrence Recht; Daniel M Spielman
Journal:  PLoS One       Date:  2019-12-12       Impact factor: 3.240

  7 in total

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