| Literature DB >> 33070451 |
Kohei Taniguchi1,2, Kazuhisa Uchiyama1, Yukihiro Akao3.
Abstract
Understanding of the microRNAs (miRNAs) regulatory system has become indispensable for physiological/oncological research. Tissue and organ specificities are key features of miRNAs that should be accounted for in cancer research. Further, cancer-specific energy metabolism, referred to as the Warburg effect, has been positioned as a key cancer feature. Enhancement of the glycolysis pathway in cancer cells is what primarily characterizes the Warburg effect. Pyruvate kinase M1/2 (PKM1/2) are key molecules of the complex glycolytic system; their distribution is organ-specific. In fact, PKM2 overexpression has been detected in various cancer cells. PKM isoforms are generated by alternative splicing by heterogeneous nuclear ribonucleoproteins. In addition, polypyrimidine tract-binding protein 1 (PTBP1) is essential for the production of PKM2 in cancer cells. Recently, several studies focusing on non-coding RNA elucidated PTBP1 or PKM2 regulatory mechanisms, including control by miRNAs, and their association with cancer. In this review, we discuss the strong relationship between the organ-specific distribution of miRNAs and the expression of PKM in the context of PTBP1 gene regulation. Moreover, we focus on the impact of PTBP1-targeting miRNA dysregulation on the Warburg effect.Entities:
Keywords: PKM; PTBP1; Warburg effect; microRNA; organ-specificity
Mesh:
Substances:
Year: 2020 PMID: 33070451 PMCID: PMC7780020 DOI: 10.1111/cas.14694
Source DB: PubMed Journal: Cancer Sci ISSN: 1347-9032 Impact factor: 6.518
Detailed information on the microRNAs regulating PTBP1 in various types of cancer
| Gene name (ID)/Chromosome location |
(406904)/20q13.33
(406905)/18q11.2 |
(407046)/1q22
(407047)/5q14.3
(407051)/15q26.1 |
(406907)/8p23.1
(406908)/8q12.3
(406909)/20q13.33 |
(442890)/6p12.2 |
(406928)/1p21.3 |
|
(406989)/6p12.2 |
(442908)/5q35.3 | |
|---|---|---|---|---|---|---|---|---|---|
| Target gene/Species name (ID) |
| ||||||||
| Guide strand of mature miRNA | MIR1‐3p | MIR9‐5p | MIR124‐3p | MIR133b | MIR137‐3p | MIR194‐5p | MIR206 | MIR340‐5p | |
| Sequence of the target region 5'‐3' | CATTCC | ACCAAAG |
#1: GTGCCTT #2: TGCCTT #3: TGCCTTA #4: TGCCTTA |
#1: GACCAA #2: GGACCAA | AGCAATA | CTGTTAC | CATTCC | TTTATA | |
| Genomic location of MTI | 19:8810871‐810876 |
19:811859‐ 811865 |
#1:19: 811155‐811161 #2:19: 811777‐811782 #3:19: 811156‐811162 #4:19: 811777‐811783 |
#1:19: 811484‐ 811489 #2:19: 811857‐ 811863 |
19:811468‐ 814774 |
19:811607‐ 811613 |
19:8810871‐ 810876 |
19:812021‐ 812026 | |
| Genomic location of 3'UTR | 45‐51 | 1033‐1039 |
#1:329‐336 #2:951‐957 #3:330‐337 #4:951‐957 |
#1:658‐664 #2:1031‐1038 | 642‐648 | 781‐787 | 45‐51 | 1195‐1201 | |
|
Distribution characteristics (TSI) |
Muscle‐specific (0.975) |
Brain‐specific (0.96) |
Brain‐specific (0.975) |
Muscle‐specific (0.98) |
Brain‐specific (0.94) |
Abundant in liver and colon (0.905) |
Muscle‐specific (0.99) |
Abundant in brain, but expressed in various organs (0.855) | |
| Type of cancer |
1: RMS 2: CRC | Glioma |
1: Glioma 2: CRC 3: CML 4: PaC |
1: RMS 2: CRC 3: GC |
1: Glioma 2: CRC | HCC | RMS | CRC | |
|
Reference Author year/(PMID) |
1: Sugito et al 2017/(28981396) 2: Taniguchi et al 2016/(26980745) | Zhu et al 2019/(31253583) |
1: Ferrarese et al 2014/(24865424) 2: Sun et al 2012/(22895557) Taniguchi et al 2015/(25721733) Taniguchi et al 2015/(25818238) 3: Shinohara et al 2016/(26607903) 4: Li et al 2016/(27785603) |
1: Sugito et al 2017/(28981396) 2: Taniguchi et al 2016/(26980745) 3: Sugiyama et al 2016/(27696637) |
1: Taniguchi et al 2018/(29695138) 2: Sun et al 2012/(22895557) | Kang et al 2019/(31301177) | Taniguchi et al 2018/(29695138) | Sun et al 2012/(22895557) | |
Gene names are described according to the Gene Nomenclature Committee of Human Genome Organization (https://www.genenames.org/).
The miRNA terminology used follows the proposed miRNA nomenclature guidelines.
The distribution characteristics and TSI were described with reference to data from the human miRNA tissue atlas (https://ccb‐web.cs.uni‐saarland.de/tissueatlas/). The actual expression values are shown in Figure S1.
The number before each reference corresponds to the number of the designated type of cancer studied.
Abbreviations: CML, chronic myelocytic leukemia; CRC, colorectal cancer; GC, gastric cancer; HCC, hepatocellular carcinoma; MTI, microRNA‐target interaction, PaC, pancreatic cancer; PTBP1, polypyrimidine tract binding protein 1, RMS, rhabdomyosarcoma; TSI, tissue specificity index; 3'UTR, three prime untranslated region.
Poorly conserved site for microRNA families broadly conserved among vertebrates.
Poorly conserved site for microRNA families conserved among mammals. Each definition is referred to as in the TargetScan database (http://www.targetscan.org/vert_72/).
Implication of MIR122 in various PKM‐expressing cancers
| Gene name (ID)/Chromosome location |
|
|---|---|
| Target gene/Species name (ID) |
|
| Guide strand of mature miRNA | MIR122‐5p |
| Sequence of the target region 5'‐3' | ACACTCC |
| Genomic location of MTI | 15:72199124‐72199130 |
| Genomic location of 3'UTR | 520‐527 |
| Distribution characteristics (TSI) | Liver‐specific (0.965) |
| Type of cancer |
1: Hepatocellular carcinoma 2: Breast cancer 3: Esophageal cancer 4: Cholangiocarcinoma 5: Renal cell carcinoma 6: Colorectal cancer |
|
Reference Author year/(PMID) |
1: Jung et al 2011/(22140464) Liu et al 2014/(24466275) Wong et al 2014/(25541689) Taniguchi et al 2018/(29695138) 2: Fong et al 2015/(25621950) 3: Zhang et al 2016/(27040384) 4: Peng et al 2019/(31115511) 5: Wang et al 2019/(31814765) 6: Wang et al 2020/(31901148) |
The miRNA terminology used follows the proposed miRNA nomenclature guidelines.
The distribution characteristics and TSI are described with reference to the data in the human miRNA tissue atlas (https://ccb‐web.cs.uni‐saarland.de/tissueatlas/). The actual expression values are shown in Figure S1.
The number before each reference corresponds to the number of the designated type of cancer studied.
Abbreviations: MTI, microRNA‐target interaction; PKM, pyruvate kinase M1/M2; TSI, tissue specificity index; 3′UTR, three prime untranslated region.
Figure 1Regulation of polypyrimidine tract‐binding protein 1 (PTBP1) and pyruvate kinase M (PKM) isoforms by microRNAs: schematics. Brain and muscle‐specific miRNAs bind to the 3′ UTR of PTBP1 and downregulate PTBP1 expression. PKM1 dominance is induced through the suppression of alternative splicing in these healthy organs. PKM1 promotes the tricarboxylic acid (TCA) cycle for energy production. In the process of carcinogenesis, coordinated dysregulation of miRNAs induces PKM2 upregulation through the increment of PTBP1 expression. PKM2 promotes glycolysis and/or the synthesis of nucleic acids, especially in proliferating cells. Dysregulation of brain‐specific miRNAs such as MIR9‐5p, 124‐3p, and 137‐3p occurs in brain tumors; that of muscle‐specific miRNAs (MIR1‐3p, 133b, and 206) arises in sarcoma. In gastrointestinal cancers (eg, colorectal cancer), these miRNAs are dysregulated coordinately. In contrast, in the pyruvate kinase L (PKL) dominant normal liver, MIR122‐5p is abundant and downregulates both PKM1 and PKM2 by binding to the PKM 3′UTR. We assume that in hepatocellular carcinoma, the dominance of PKM2 is caused by harmonic dysregulation of PKM‐targeting (MIR122‐5p) and PTBP1‐targeting miRNAs (MIR194‐5p). Thus, there are three types of miRNA dysregulation behind the upregulation of PKM2 in cancer cells.
Figure 2Relationship between pyruvate kinase M (PKM) isoforms, cancer development, and anticancer effects. In carcinogenesis, the establishment of PKM2 dominance follows two patterns. PKM1 to PKM2 switching occurs in PKM1‐dominant organs such as brain and muscle. Dysregulation of polypyrimidine tract‐binding protein 1 (PTBP1)‐targeting miRNAs (brain‐ and muscle‐specific) induces the switch to PKM2 dominance through PTBP1 upregulation in brain tumors and myosarcoma. This PKM2 dominant change is defined as the “switching type.” In contrast, in the gastrointestinal tract, both PKM1 and PKM2 are expressed. PKM2 expression is further upregulated through dysregulation of the PTBP1‐targeting miRNA/PTBP1 axis in carcinogenesis. This PKM2 dominant change is defined as the “increasing type.” In cancer cells, PKM2 is consistently dominant. Downregulation of PTBP1, via PTBP1‐targeting miRNAs or PTBP1 gene‐silencing of (siRNA‐PTBP1), induces growth inhibition, metabolic change, and the production of reactive oxygen species through PKM2 to PKM1 switching.
Detailed information of the microRNAs predicted to bind to PTBP1 based on TargetScan
| miRNA name (mature type) | MIR17‐5p/20‐5p/93‐5p/106‐5p/519‐3p | MIR133a‐3p | MIR153‐3p | MIR‐193‐3p | MIR200bc‐3p/429 | MIR216b‐5p | MIR506‐3p |
| Features | Constitutes the MIR17 family |
Muscle‐specificity Constitutes the MIR133 family with MIR133b Three binding sites in the 3'UTR of PTBP1 | Constitutes the MIR153 family with MIR153‐1 and ‐2 | Registered in the miRBase as hsa‐miR‐193a‐3p |
Constitutes the MIR141/200 family | Constitutes the MIR216 family with MIR216A | Constitutes the MIR506 family with MIR507‐514 |
| PTBP1 related references PMID and simple content | None |
20520763; Human islet insulin biosynthesis 26818704; Dengue virus replication | None | None | None | None | None |
We searched the microRNAs with the ability to bind to PTBP1 using the TargetScan database (http://www.targetscan.org/vert_72/).
The miRNA terminology used aligns with the proposed miRNA nomenclature guidelines.76
Abbreviations: PTBP1, polypyrimidine tract‐binding protein 1; 3′UTR, three prime untranslated region.
Listed as a set of MIR124‐2 in the TargetScan database.
MIR507, 508, 509‐1, 509‐2, 509‐3, 510, 511, 512‐1, 512‐2, 513A1, 513A2, 513B, 513C, 514A1, 514A2, 514A3, and 514B are included in this family.