| Literature DB >> 28222202 |
Clévia Rosset1,2, Cristina Brinckmann Oliveira Netto3, Patricia Ashton-Prolla1,2,3,4.
Abstract
Tuberous sclerosis complex is an autosomal dominant disorder characterized by skin manifestations and formation of multiple tumors in different organs, mainly in the central nervous system. Tuberous sclerosis is caused by the mutation of one of two tumor suppressor genes, TSC1 or TSC2. Currently, the development of novel techniques and great advances in high-throughput genetic analysis made mutation screening of the TSC1 and TSC2 genes more widely available. Extensive studies of the TSC1 and TSC2 genes in patients with TSC worldwide have revealed a wide spectrum of mutations. Consequently, the discovery of the underlying genetic defects in TSC has furthered our understanding of this complex genetic disorder, and genotype-phenotype correlations are becoming possible, although there are still only a few clearly established correlations. This review focuses on the main symptoms and genetic alterations described in TSC patients from 13 countries in three continents, as well as on genotype-phenotype correlations established to date. The determination of genotype-phenotype correlations may contribute to the establishment of successful personalized treatment for TSC.Entities:
Year: 2017 PMID: 28222202 PMCID: PMC5409767 DOI: 10.1590/1678-4685-GMB-2015-0321
Source DB: PubMed Journal: Genet Mol Biol ISSN: 1415-4757 Impact factor: 1.771
Revised Diagnostic Criteria for Tuberous Sclerosis Complex*.
| Major Features |
|---|
| 1. Facial angiofibromas or forehead plaque |
| 2. Non-traumatic ungual or periungual fibroma |
| 3. Hypomelanotic macules (more than three) |
| 4. Shagreen patch (connective tissue nevus) |
| 5. Multiple retinal nodular hamartomas |
| 6. Cortical
tuber |
| 7. Subependymal nodule |
| 8. Subependymal giant cell astrocytoma |
| 9. Cardiac rhabdomyoma single or multiple |
| 10.
Lymphangiomyomatosis |
| 11. Renal
angiomyolipoma |
| Minor Features |
| 1. Multiple randomly distributed pits in dental enamel |
| 2. Hamartomatous
rectal polyps |
| 3. Bone cysts |
| 4. Cerebral white
matter migration lines |
| 5. Gingival fibromas |
| 6. Non-renal
hamartoma |
| 7. Retinal achromic patch |
| 8. “Confetti” skin lesions |
| 9. Multiple renal cysts |
| Definite TSC: Either 2 major features or 1 major feature with 2 minor features |
| Probable TSC: One major feature and one minor feature |
| Possible TSC: Either 1 major feature or 2 or more minor features |
Revised Diagnostic Criteria for Tuberous Sclerosis Complex established by a consortium in 2012 (Northrup et al., 2012).
When cerebral cortical dysplasia and cerebral white matter migration tracts occur together, they should be counted as one rather than two features of TSC.
When both lymphangiomyomatosis and renal angiomyolipomas are present, other features of TSC should be present before a definitive diagnosis is assigned.
Histologic confirmation is suggested.
Radiographic confirmation is sufficient.
One panel member recommended three or more radial migration lines constitute a major feature.
Figure 1TSC1 and TSC2 gene structure, domains and distribution of point mutations. (A) Schematic representation of TSC1 and TSC2 exons and the domains of hamartin and tuberin, respectively, codified by them. The symbols represent the number of different mutations described at each exon. (B) The graph shows the percentage of the total number of described mutations that occur at each TSC1 and TSC2 exon.
Figure 2The role of the TSC2:TSC1 complex in the mTOR pathway. PI3K is activated by growth factors through direct interaction with receptors or through interaction with scaffolding adaptors, such as the IRS proteins. These interactions recruit PI3K to its substrate PtdIns(4,5)P2 (PIP2), allowing generation of the lipid second messenger PtdIns(3,4,5)P3 (PIP3). Akt and PDK1 are recruited to the cell plasma membrane through association with PIP3. This allows Akt to be activated through phosphorylation on Thr308 by PDK1 and Ser473 by mTORC2 (not shown). Once active, Akt phosphorylates many downstream targets, including multiple sites on TSC2. Phosphorylation of TSC2 impairs the GTPase activity of the TSC2:TSC1 complex, allowing Rheb-GTP to accumulate. Rheb-GTP in excess activates high levels of mTORC1, which in turn phosphorylates and inhibits 4E-BP1 and activates S6K1 and S6K2. By this way, mTORC1 influences on cell growth, translation factors activation and cell nutrition.
Type and frequency of mutations found in TSC genes in patients from different studies in the world and diagnostic strategy (1998-2014).
| Population | N | Noncoding/polymorphic alterations | No mutation detected (%) |
|
| Mutation detection methods (Reference of the study) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Point mutations (missense/nonsense) | Rearrangements | Splice site mutations | Point mutations (missense/nonsense) | Rearrangements | Splice site mutations | |||||||
| Small | Large | Small | Large | |||||||||
|
| ||||||||||||
| Germany | 37 | 9 | 3 (8 1) | 3/4 | 3 | NA | 1 | 10/3 | 8 | NA | 2 | SSCP/Sequencing
( |
| Turkey | 33 | 9 | 27 (81) | NA | NA | NA | NA | 3/0 | 2 | NA | 1 | SSCP/Sequencing
( |
| Poland/USA | 224 | NA | 38 (17) | 0/11 | 15 | 0 | 2 | 31/37 | 43 | 20 | 27 | DHPLC/Sequencing;
long-range PCR/qPCR ( |
| Netherlands | 490 | 76 | 128 (26) | 0/37 | 38 | 0 | 7 | 56/67 | 94 | 20 | 43 | SSCP/Sequencing/
Southern blot/ FISH ( |
| Germany | 68 | 14 | 37 (54) | 0/1 | 1 | 0 | 0 | 12/4 | 11 | 2 | 4 | SSCP/Sequencing/
Southern blot/ FISH ( |
| Denmark | 65 | 24 | 11 (17) | 0/4 | 6 | 0 | 1 | 11/9 | 13 | 4 | 6 | DGGE/ Sequencing;
lomg range PCR/MLPA ( |
| United Kingdom | 150 | 30 | 30 (20) | NI | NI | NI | NI | 22/20 | 26 | 22 | 8 | SSCP/ heteroduplex
analysis/pulse field gel electrophoresis/ Southern blot/ long range PCR
( |
|
| 1067 | 162 | 274 (26) | 3/57 | 63 | 0 | 11 | 145/140 | 197 | 68 | 91 | - |
|
| ||||||||||||
| India | 24 | 10 | 12 (50) | 0/0 | 1 | NA | 0 | 3/1 | 5 | NA | 2 | SSCP/Sequencing
( |
| China | 2 | NA | 0 | 0/0 | 0 | NA | 0 | 0/0 | 1 | NA | 1 | Sequencing ( |
| Korea | 44 | NA | 31 (70) | 2/0 | 0 | NA | 0 | 0/4 | 6 | NA | 1 | DHPLC/Sequencing
( |
| Japan | 21 | 2 | 0 | 0/1 | 8 | NA | 0 | 2/0 | 4 | NA | 3 | DHPLC/Sequencing
( |
| Japan | 8 | 3 | 0 | 0/1 | 1 | NA | 0 | 4/0 | 0 | NA | 3 | SSCP/Sequencing
( |
| China | 6 | 2 | 3 (50) | 0/0 | 3 | NA | 0 | NA | NA | NA | NA | Sequencing ( |
| Malaysia | 2 | - | 0 | - | - | - | - | - | - | 2 | - | MLPA ( |
| Korea | 11 | NA | 2 (18) | 1/3 | 0 | 1 | 0 | 2/1 | 0 | 1 | 2 | Sequencing/MLPA
( |
| Taiwan | 84 | 21 | 20 (24) | 0/5 | 4 | NA | 0 | 12/15 | 21 | NA | 7 | DHPLC/Sequencing
( |
| China | 6 | 3 | 3 (50) | 0/0 | 0 | NA | 0 | 2/1 | 0 | NA | 0 | Sequencing ( |
|
| 184 | 31 | 59 (32) | 3/11 | 16 | 1 | 0 | 22/21 | 32 | 3 | 17 | - |
|
| ||||||||||||
| USA | 21 | 11 | 0 | 0/5 | 12 | 0 | 0 | NA | NA | NA | NA | Southern blot/
heteroduplex/SSCP ( |
| USA | 126 | 47 | 52 (41) | 0/7 | 7 | NA | 2 | 13/14 | 23 | NA | 8 | SSCP/Sequencing
( |
| USA | 36 | NA | 7 (19) | 0/1 | 1 | 0 | 2 | 4/6 | 6 | 4 | 2 | Sequencing/MLPA
( |
|
| 183 | 58 | 59 (32) | 0/13 | 20 | 0 | 4 | 17/20 | 29 | 4 | 10 | - |
|
| 1434 | 251 | 392 (27) | 6/81 | 99 | 1 | 15 | 184/181 | 258 | 75 | 118 | - |
N= number of patients included in the study; SSCP=Single Strand Conformation Polymorphism; DHPLC=Denaturing High-Performance Chromatography; FISH= Fluorescent In Situ Hybridization; DGGE=Denaturing Gradient Gel Electrophoresis; MLPA=Multiplex Ligation-Dependent Probe Amplification; NA=not analyzed in the study; NI=Not informed.
Genotype-phenotype correlations established for TSC patients.
| Population | N | Locus of DNA alteration | Amino acid change | Type of alteration | Main associated symptoms | Reference |
|---|---|---|---|---|---|---|
| EUA | 1039 |
| - | Any type on
| Mutations in the
| ( |
| Poland | 170 |
| - | Frameshift | Epilepsy | ( |
| USA | 220 | Contiguous deletion
| - | Large rearrangement | Arachnoid cysts and polycystic kidney disease | ( |
| Poland/USA | 224 |
| - | Any type on
| Seizures, mental
retardation, average tuber count, subependymal nodules, renal
angiomyolipomas, angiofibromas and fibrous forehead plaques were more
common and severe in | ( |
| Netherlands | 490 |
| - | Any type on
| Shagreen patches are
more frequent in patients with | ( |
| Netherlands | 490 |
| - | Any type on
| Mental retardation is
more frequent in patients with | ( |
| Netherlands | 490 |
| - | Nonsense and frameshift | Shagreen patches, forehead plaques, facial angiofibromas, ungual fibromas, renal angiomyolipomas and renal cysts | ( |
| Netherlands | 490 |
| - | Mutations in the GAP domain | Mental retardation, seizures and subependymal nodules | ( |
| Korea | 11 |
| - | Mutations in exons 33-41 | Cardiac rhabdomyomas | ( |
| USA | 65 |
| - | Any type on
| Higher number of cysts
than | ( |
| Canada | 19 families |
| R905Q | Missense | Milder disease severity | ( |
| USA | 478 |
| - | Missense mutations and small in-frame deletions or insertions | Proximal and distal
| ( |
| USA and Belgium | 919 |
| - | Any type on
| More frequent occurrence of several kinds of seizures/epilepsy subtypes: partial epilepsy, complex partial seizures, infantile spasms, SENs, SGCTs and cognitive impairment. | ( |
| United Kingdom | One case report |
| - | Splice site mutation | Mild phenotype (seizures and small number of hypomelanotic macules) | ( |
N= number of patients included in the study.
NI=Not informed.