Literature DB >> 33401672

The Harmonious Interplay of Amino Acid and Monocarboxylate Transporters Induces the Robustness of Cancer Cells.

Go J Yoshida1.   

Abstract

There is a growing body of evidence that metabolic reprogramming contributes to the acquisition and maintenance of robustness associated with malignancy. The fine regulation of expression levels of amino acid and monocarboxylate transporters enables cancer cells to exhibit the metabolic reprogramming that is responsible for therapeutic resistance. Amino acid transporters characterized by xCT (SLC7A11), ASCT2 (SLC1A5), and LAT1 (SLC7A5) function in the uptake and export of amino acids such as cystine and glutamine, thereby regulating glutathione synthesis, autophagy, and glutaminolysis. CD44 variant, a cancer stem-like cell marker, stabilizes the xCT antiporter at the cellular membrane, and tumor cells positive for xCT and/or ASCT2 are susceptible to sulfasalazine, a system Xc(-) inhibitor. Inhibiting the interaction between LAT1 and CD98 heavy chain prevents activation of the mammalian target of rapamycin (mTOR) complex 1 by glutamine and leucine. mTOR signaling regulated by LAT1 is a sensor of dynamic alterations in the nutrient tumor microenvironment. LAT1 is overexpressed in various malignancies and positively correlated with poor clinical outcome. Metabolic reprogramming of glutamine occurs often in cancer cells and manifests as ASCT2-mediated glutamine addiction. Monocarboxylate transporters (MCTs) mediate metabolic symbiosis, by which lactate in cancer cells under hypoxia is exported through MCT4 and imported by MCT1 in less hypoxic regions, where it is used as an oxidative metabolite. Differential expression patterns of transporters cause functional intratumoral heterogeneity leading to the therapeutic resistance. Therefore, metabolic reprogramming based on these transporters may be a promising therapeutic target. This review highlights the pathological function and therapeutic targets of transporters including xCT, ASCT2, LAT1, and MCT.

Entities:  

Keywords:  ASCT2 (SLC1A5); CD44 variant; LAT1 (SLC7A5); cancer stem-like cells; glutamine addiction; metabolic symbiosis; monocarboxylate transporter; redox stress; sulfasalazine; system Xc(-)

Year:  2021        PMID: 33401672      PMCID: PMC7823946          DOI: 10.3390/metabo11010027

Source DB:  PubMed          Journal:  Metabolites        ISSN: 2218-1989


  130 in total

1.  CD147 is tightly associated with lactate transporters MCT1 and MCT4 and facilitates their cell surface expression.

Authors:  P Kirk; M C Wilson; C Heddle; M H Brown; A N Barclay; A P Halestrap
Journal:  EMBO J       Date:  2000-08-01       Impact factor: 11.598

Review 2.  Targeting lactate metabolism for cancer therapeutics.

Authors:  Joanne R Doherty; John L Cleveland
Journal:  J Clin Invest       Date:  2013-09-03       Impact factor: 14.808

3.  Redox imbalance in cystine/glutamate transporter-deficient mice.

Authors:  Hideyo Sato; Ayako Shiiya; Mayumi Kimata; Kanako Maebara; Michiko Tamba; Yuki Sakakura; Nobuo Makino; Fumihiro Sugiyama; Ken-ichi Yagami; Takashi Moriguchi; Satoru Takahashi; Shiro Bannai
Journal:  J Biol Chem       Date:  2005-09-06       Impact factor: 5.157

4.  The H+-linked monocarboxylate transporter (MCT1/SLC16A1): a potential therapeutic target for high-risk neuroblastoma.

Authors:  Jun Fang; Quintin J Quinones; Trevor L Holman; Michael J Morowitz; Qun Wang; Huaqing Zhao; Frank Sivo; John M Maris; Miriam L Wahl
Journal:  Mol Pharmacol       Date:  2006-09-25       Impact factor: 4.436

5.  Cystine-glutamate transporter SLC7A11 in cancer chemosensitivity and chemoresistance.

Authors:  Ying Huang; Zunyan Dai; Catalin Barbacioru; Wolfgang Sadée
Journal:  Cancer Res       Date:  2005-08-15       Impact factor: 12.701

6.  Glucose deprivation increases monocarboxylate transporter 1 (MCT1) expression and MCT1-dependent tumor cell migration.

Authors:  C J De Saedeleer; P E Porporato; T Copetti; J Pérez-Escuredo; V L Payen; L Brisson; O Feron; P Sonveaux
Journal:  Oncogene       Date:  2013-10-28       Impact factor: 9.867

7.  4F2 (CD98) heavy chain is associated covalently with an amino acid transporter and controls intracellular trafficking and membrane topology of 4F2 heterodimer.

Authors:  E Nakamura; M Sato; H Yang; F Miyagawa; M Harasaki; K Tomita; S Matsuoka; A Noma; K Iwai; N Minato
Journal:  J Biol Chem       Date:  1999-01-29       Impact factor: 5.157

8.  Metabolic characterization of triple negative breast cancer.

Authors:  Maria D Cao; Santosh Lamichhane; Steinar Lundgren; Anna Bofin; Hans Fjøsne; Guro F Giskeødegård; Tone F Bathen
Journal:  BMC Cancer       Date:  2014-12-12       Impact factor: 4.430

Review 9.  Therapeutic strategies targeting cancer stem cells.

Authors:  Go J Yoshida; Hideyuki Saya
Journal:  Cancer Sci       Date:  2015-10-21       Impact factor: 6.716

Review 10.  Amino Acid Transporters as Targets for Cancer Therapy: Why, Where, When, and How.

Authors:  Stefan Bröer
Journal:  Int J Mol Sci       Date:  2020-08-26       Impact factor: 5.923

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  7 in total

Review 1.  The role of metabolic ecosystem in cancer progression - metabolic plasticity and mTOR hyperactivity in tumor tissues.

Authors:  Anna Sebestyén; Titanilla Dankó; Dániel Sztankovics; Dorottya Moldvai; Regina Raffay; Catherine Cervi; Ildikó Krencz; Viktória Zsiros; András Jeney; Gábor Petővári
Journal:  Cancer Metastasis Rev       Date:  2022-01-14       Impact factor: 9.264

2.  A comprehensive analysis of the diagnostic and prognostic value associated with the SLC7A family members in breast cancer.

Authors:  Liping Yan; Jianxin He; Xiwen Liao; Tianyi Liang; Jia Zhu; Wensong Wei; Yongfei He; Xin Zhou; Tao Peng
Journal:  Gland Surg       Date:  2022-02

Review 3.  The complex relationship between multiple drug resistance and the tumor pH gradient: a review.

Authors:  Tomas Koltai
Journal:  Cancer Drug Resist       Date:  2022-04-03

4.  mTORC1-Inhibition Potentiating Metabolic Block by Tyrosine Kinase Inhibitor Ponatinib in Multiple Myeloma.

Authors:  Uddin Md Nazim; Kausik Bishayee; Jieun Kang; Dongkwan Yoo; Sung-Oh Huh; Ali Sadra
Journal:  Cancers (Basel)       Date:  2022-06-02       Impact factor: 6.575

Review 5.  Metabolic Classification and Intervention Opportunities for Tumor Energy Dysfunction.

Authors:  Ezequiel Monferrer; Isaac Vieco-Martí; Amparo López-Carrasco; Fernando Fariñas; Sergio Abanades; Luis de la Cruz-Merino; Rosa Noguera; Tomás Álvaro Naranjo
Journal:  Metabolites       Date:  2021-04-23

Review 6.  Molecular pathology underlying the robustness of cancer stem cells.

Authors:  Go J Yoshida; Hideyuki Saya
Journal:  Regen Ther       Date:  2021-03-25       Impact factor: 3.419

Review 7.  Hypoxia Signaling in Cancer: From Basics to Clinical Practice.

Authors:  Anna Sebestyén; László Kopper; Titanilla Dankó; József Tímár
Journal:  Pathol Oncol Res       Date:  2021-05-03       Impact factor: 3.201

  7 in total

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