Abstract
Cancer genome sequencing studies have identified driver genes for a variety of different cancers and helped to understand the genetic landscape of human cancer. It is still challenging, however, to identify cancer driver genes with confidence simply from genetic data alone. In vivo forward genetic screens using Sleeping Beauty (SB) transposon mutagenesis provides another powerful genetic tool for identifying candidate cancer driver genes in wild‐type and sensitized mouse tumors. By comparing cancer driver genes identified in human and mouse tumors, cancer driver genes can be identified with additional confidence based upon comparative oncogenomics. This review describes how SB mutagenesis works in mice and focuses on studies that have identified cancer driver genes in the mouse gastrointestinal tract.
Keywords: cancer driver genes, colorectal cancer, mouse model, screening, Sleeping Beauty transposon mutagenesis
Identification of cancer driver genes by comparative genomics.
1. INTRODUCTION
Whole‐genome sequencing, exome sequencing, transcriptomic analyses and copy number analyses 1 , 2 have helped to elucidate the genomic landscape of human cancer and piece together the order of genetic events that drive cancer development. However, it is still challenging to identify genes that promote cancer progression, metastasis, and therapy resistance from genomic data alone. To truly understand how cancer develops, new approaches are needed. One of these approaches makes use of comparative oncogenomics; in vivo forward genetic screens in mice using Sleeping Beauty (SB) transposon mutagenesis has been used to identify candidate cancer driver genes (CCGs). 3 , 4 These CCGs were then compared with the CCGs identified by genomic analyses in human cancer. Genes that are commonly mutated in mouse and human are likely to be cancer driver genes as their functions in cancer development are conserved between species. In addition, SB mutagenesis can identify human cancer genes that were missed by genomic analyses because, for example, they are deregulated in human cancer by mutations in intergenic regulatory domains, by epigenetic mechanisms or by transcriptional deregulation (Figure 1).
FIGURE 1.
The approach to identify novel CRC driver genes by comparative oncogenomics. CNA, copy number alterations
For decades, in vivo insertional mutagenesis in the mouse has relied on retroviral mutagenesis, which proved to be a potent genetic tool for identifying CCGs in the hematopoietic system and mammary glands 3 , 5 , 6 ; tissues in which retroviruses could be easily transduced. However, due to the nature of retroviral integration, there has been a strong bias for identifying oncogenes, and retroviral long terminal repeats often have shown strong promoter activity, which could result in the wrong annotation of CCGs.
More recently, in vivo transposon insertional mutagenesis has been used to identify CCGs for a variety of cancer types. This approach is similar in concept to the technique used in organisms such as Drosophila melanogaster 7 ; however, applying this technique to mice has been hampered by the lack of transposons that actively transpose in mammalian cells. In 2005, 2 papers published in Nature showed that Sleeping Beauty (SB), a transposon originally isolated from salmonoid fish, could transpose in mouse somatic tissues at high enough frequencies to induce cancer, and therefore could be used as a genetic tool for identifying CCGs. 8 , 9 Since then, SB transposon mutagenesis screens have been performed in more than 30 different organ systems, including pancreas, 10 , 11 skin, 12 liver, 13 , 14 , 15 breast, 16 , 17 , 18 brain 19 , 20 and the gastrointestinal tract, 21 , 22 , 23 , 24 , 25 , 26 and hundreds, if not thousands, of CCGs identified.
In addition to SB, PiggyBac (PB) transposons, originally isolated from moths, have also been used for insertional mutagenesis screens in mice. 27 These 2 transposons have different integration site preferences. SB preferentially integrates into TA sites, whereas PB integrates into TTAA sites. SB integration events are little affected by the chromatin state, whereas PB integrations are affected by chromatin structure. 28 Also, SB transposons leave a 5‐bp footprint behind following transposition, which may induce mutations if this occurs in exons or splice sites, whereas PB transposons leave no footprints behind following transposition. 3 Although each of these transposon systems has advantages and disadvantages, this review will focus on studies performed using SB mutagenesis, primarily in the gastrointestinal (GI) tract.
2. ENGINEERING THE SB TRANSPOSON FOR MUTAGENESIS SCREENS IN MICE
There are basically 2 types of transposons that show different modes of transposition. One is typified by the LINE1 retrotransposon, in which transposition is mediated through an RNA intermediate that is reverse transcribed into a DNA copy and then re‐inserted into the genome in a “copy”‐and‐paste manner (Figure 2A). The other is the DNA transposon, which is excised from the genome through double‐strand breaks at each end of the transposon and then re‐inserted into a new position in the genome in a “cut”‐and‐paste manner 7 , 29 (Figure 2B). The SB transposon belongs to the latter type of transposon. At the time of its isolation from fish, SB was inactive due to the accumulation of a series of mutations that occurred over millions of years of evolution, which prevented its transposition and the unintended consequences of deleterious mutations in the fish genome. To reactivate the SB transposon, a synthetic transposon was generated through a series of amino acid substitutions by reverse genetic re‐engineering. The resultant transposon, called SB10, was subsequently shown to be able to transpose in mouse and human somatic cells by a cut‐and‐paste mechanism at a high frequency. 30
FIGURE 2.
There are 2 types of transposons. A, Retrotransposons are transcribed into RNA, which then serves as the template for complementary DNA synthesis. A newly synthesized retrotransposon cDNA is then integrated into a new position in the genome. B, DNA transposons are excised from the genome by transposase, which makes double‐strand breaks at each end of the transposon. The original insertion site is then repaired by non‐homologous end joining leaving behind a 5 base‐pair footprint. The excised transposon is subsequently re‐inserted into a new TA site in the genome. The TA site is duplicated during insertion and now flanks each end of the transposon. Green or blue boxes indicate transposon‐specific repeat sequences that are recognized by the transposase
To develop an in vivo SB transposon mutagenesis system for cancer studies, the 2 components of the transposition system, the DNA transposon and the transposase that catalyzes its transposition, were engineered separately. The DNA transposon carries inverted repeats (IRs) at both ends. These are described as inverted repeat, direct repeat, left end (IRDRL) and inverted repeat, direct repeat, right end (IRDRR) in Figure 2A. Between the IRs, one can put any sequences of interest, such as cDNAs for genes of interest, or genetic elements to deregulate cancer genes following integration. The transposon used in cancer screens is engineered to be a dual‐function oncogenic transposon, which carries several genetic elements between the IRs. These include promoter sequences, a splice donor site (SD), 2 splice acceptor sites (SA) and a bidirectional polyA site (Figure 3A). When the transposon is inserted upstream or in the 5' end of an oncogene, in the same transcriptional orientation, it can drive overexpression of the oncogene through promoter insertion, where the promoter and downstream SA site fuses to the oncogene to drive its overexpression (Figure 3B). Conversely, when the transposon inserts into a tumor suppressor gene, in either orientation, the transposon can act as a gene trap by splicing into the SA site and prematurely terminating expression of the tumor suppressor gene transcript using the polyA site carried by the transposon (Figure 3C). Therefore, the SB transposon can activate the expression of oncogenes and also inactivate the expression of tumor suppressor genes. This is one of the great advantages of transposon mutagenesis, as other genetic screening systems involving retroviruses, CRISPR‐Cas9, siRNA, or shRNA are biased for identification of oncogenes or tumor suppressor genes, but not both.
FIGURE 3.
The structure of the T2/Onc2 transposon used in SB screening. A, The T2/Onc2 transposon has unique inverted repeat sequences (IRDRL and IRDRR) at each end that are recognized by the SB transposase. Between the IRDRL and IRDRR sequences, additional sequences have been inserted, including the 5′ long terminal repeat (LTR) of the murine stem cell virus (MSCV) that contains strong promoter and enhancer elements, a splice donor (SD) site derived from exon 1 of the mouse Foxf2 gene, and bidirectional polyA (pA) sites that serve a transcriptional termination sites in cases in which the transposon inserts into the coding region of a tumor suppressor gene. There are 2 splice acceptor sites in the transposon located in inverse orientations, 1 from the carp β‐actin gene (SA) and the other from the mouse Engrailed2 gene (En‐SA). B, When T2/Onc2 inserts into the promoter region or intron 1 of an oncogene, in the same transcriptional orientation, it can induce overexpression of the oncogene by the MSCV LTR promoter and downstream SD site. Oncogenes are recognized in SB screens because the transposons in different tumors are located in the 5′ end of the gene in the same transcriptional orientation. C, When T2/Onc2 inserts into the coding region of a tumor suppressor gene, in either orientation, the tumor suppressor transcript can be prematurely truncated by splicing into a SA site in the transposon followed by transcriptional termination at the pA site. Candidate tumor suppressor genes are identified in SB screens as genes in which the transposons in different tumors are located across the coding region, in both forward and reverse transcriptional orientations. Figures modified from the review 3
Since SB is a DNA transposon, which transposes through a cut‐and‐paste manner, many copies of the transposon are needed to generate enough cooperating mutations in tumor cells to induce a tumor. Therefore, several lines of transposon transgenic mice have been created, some carrying hundreds of copies of the transposon, all linked together at a single site in the genome (termed the transposon concatamer). Interestingly, when different promoter sequences were included in the transposon, different tumor spectrums were observed. The T2/Onc2 SB transposon, which carries the 5′ long terminal repeat (LTR) of murine stem cell virus (MSCV) as the promoter, induced primarily hematopoietic tumors, 8 whereas the T2/Onc3 SB transposon, which carries the ubiquitous CAG promoter, induced primarily solid tumors. 31 Therefore, it is necessary to use the right SB transposon transgenic lines for different cancer models. SB transposons integrate at TA sites. There are approximately 350 million TA sites distributed across the mouse genome. SB is therefore thought to be essentially a random insertional mutagen.
The other component of the SB mutagenesis system is the transposase. The SB transposase, which was originally carried in the transposon, is a protein that recognizes the IRs at both ends of the transposon and mediates its transposition. A couple of lines of mice expressing SB10 or a genetically enhanced SB11 transposase protein, have been generated. 8 , 9 One of the most frequently used lines is the conditional SB11 knock‐in mouse in which the cDNA for SB11 together with upstream lox‐STOP‐lox sequences were knocked‐in to the ubiquitously expressed and dispensable mouse Rosa26 locus. 21 Activation of SB transposase, and therefore the SB mutagenic system, can therefore be spatiotemporally controlled in these mice using tamoxifen‐inducible tissue‐specific Cre recombinases.
3. IDENTIFICATION OF CANDIDATE COLORECTAL CANCER (CRC) DRIVER GENES
Colorectal cancer is the second leading cause of cancer deaths worldwide. Cancer genome sequencing has identified numerous genes mutated in CRC. 32 , 33 , 34 , 35 So far, 5 studies have reported SB screens for the GI tract (Table 1). 21 , 22 , 23 , 24 , 25 To activate SB transposition specifically in the GI tract, most studies used mouse lines carrying Cre recombinase driven by the villin promoter, which showed an efficient transcriptional activity in all cell types of small intestinal epithelial cells, including stem cells, but showed limited activity in the colon. 36 One study used Ah‐Cre transgenic mice in which Cre could be activated by the administration of β‐naphthoflavone in several tissues, including the intestine. 23
TABLE 1.
Genetically engineered mice used for SB screens in the intestinal tract
Study | Cre line | Transposon | Transposase | Sensitizing alleles |
---|---|---|---|---|
Starr et al, 2009 21 | Villin‐Cre Tg 36 | T2/Onc2 Tg 9 | Rosa26‐lsl‐SB11 KI 21 | ‐ |
Starr et al, 2011 22 | Villin‐Cre Tg 36 | T2/Onc2 Tg 9 | Rosa26‐lsl‐SB11 KI 21 | Apc Min/+ 40 |
March et al, 2011 23 | Ah‐Cre Tg 58 | T2/Onc Tg 9 | Rosa26Lox66SBLox71 KI 23 | Apc flox/+, 59 Apc Min/+ 40 |
Takeda et al, 2015 24 | Villin‐CreERT2 Tg 36 | T2/Onc2 Tg 8 | Rosa26‐lsl‐SB11 KI 21 | Apc Min/+, 40 Smad4KO/+, 44 Kras‐lsl‐G12D/+, 60 p53‐lsl‐R172H/+ 46 |
Morris et al, 2016 61 | Villin‐Cre Tg 36 | T2/Onc2 Tg 8 | Rosa26‐lsl‐SB11 KI 21 | Tgfbr2 flox/flox 62 |
Abbreviations: KI, knock‐in; Tg, transgenic.
The first landmark paper used T2/Onc2 transposon transgenic mice and conditional SB11 knock‐in mice to induce mutagenesis in intestinal epithelial cells. The triple compound mice carrying T2/Onc2, SB11, and Villin‐Cre survived longer than 1.5 y and developed intestinal tumors with long latency. Analysis of 135 tumors identified 77 CCGs genes. CCGs are identified in these screens as genes that are insertionally mutated by SB at a higher frequency than predicted by random chance. 24 Apc was the most commonly mutated CCG identified in the screen. This was not surprising as Apc (Adenomatous polyposis coli) is the most important gatekeeper gene in the small and large intestines, as shown by genetic studies. 37 , 38 Mutations in APC are also found in nearly 80% of sporadic human CRC 33 and it is known that patients with familial adenomatous polyposis (FAP), a genetic syndrome caused by germline mutations in APC, are predisposed for colorectal cancers. 39 These results showed that SB‐induced tumors faithfully recapitulated human CRC, and that SB screens are a powerful tool for the identification of CRC driver genes.
To identify genes promoting malignant tumor progression, 1 mutant allele of Apc (ApcMin/+ 37 , 40 to model FAP or a conditional Apc knockout to model sporadic CRC) was also incorporated into the screen, resulting in the acceleration of tumor development. 22 , 23 Large‐scale analysis of 446 tumors from these mice identified 867 CCGs in which Apc was the most highly mutated gene. Presumably, SB integrated into the 1 wild‐type Apc allele present in these tumors to induce bi‐allelic inactivation of Apc and accelerate tumor development. In addition, 183 out of 867 CCGs were candidate Wnt target genes. This result was very telling as Apc is a tumor suppressor gene that regulates Wnt signaling. These data showed that bi‐allelic inactivation of Apc was induced in tumor cells and, in this context, genes enhancing Wnt signaling were preferentially selected to promote tumor progression. 23 However, introduction of an Apc mutant allele did not accelerate tumor histopathology, probably because these mice died early due to increased tumor multiplicity. 21 , 23
4. IDENTIFICATION OF CCGS IN DIFFERENT SENSITIZED MOUSE BACKGROUNDS
Vogelstein's genetic model shows that CRC progression is achieved by the multi‐step acquisition of mutations, which is initiated by two‐hit loss‐of‐function mutations in APC, followed by an activating mutation in KRAS, loss‐of‐function mutations in SMAD4, which activates TGFβ signaling, and inactivating mutations in TP53. 39 , 41 Mouse mutant alleles corresponding to these mutations found in human CRC have been generated. The KrasLSL‐G12D/+ allele carries an activating point mutation that results in amino acid substitution of Gly to Asp at codon 12 in Kras. This mutation is one of the common mutations observed in human CRC. 42 KrasLSL‐G12D/+: Villin‐Cre mice, which expressed KrasG12D in the intestine, showed hyperplasia throughout the colonic epithelium, as illustrated by an extreme lengthening of the crypts and the development of large, prominent goblet cells. However, these mice did not develop any colonic tumors. 43 Smad4 heterozygous knockout mice developed only a few benign tumors in the duodenum, 44 whereas compound mutant mice carrying mutations in Apc and Smad4 developed numerous adenocarcinomas in the mouse intestine. 45 Although TP53 mutations are observed in nearly half of late‐stage human CRC, Trp53LSL‐R172H knock‐in mice seldom developed intestinal tumors. 46 These results showed that a single sensitizing mutation could not induce efficient intestinal tumor development and that cooperating mutations are required for tumor development. These 4 different sensitizing mutations (ApcMin/+, KrasLSL‐G12D/+, Smad4KO/+, and Trp53R172H/+) were introduced in SB mutagenesis screens in the mouse intestine, 24 to provide a comprehensive understanding of genes and evolutionary forces promoting CRC progression.
Quadruple mutant mice carrying T2/Onc2, SB11, Villin‐CreERT2, and 1 of 4 sensitizing mutations, were then generated by 2 rounds of mouse crosses (Figure 4), and the mice aged until they showed signs of anemia. Mice undergoing SB mutagenesis in the intestine showed shortened survivals and developed increased numbers of tumors compared with their non‐SB controls, indicating that insertional mutations induced by SB cooperated specifically with each sensitizing mutation. Analysis of 65 KrasG12D:SB tumors, 100 Smad4KO:SB tumors and 55 p53R172H:SB tumors, identified 338, 449, and 500 CCGs, respectively. These CCGs were combined and added to the datasets obtained from previous large‐scale SB mutagenesis screens on the Apc mutant background, which provided 1333 unique mouse CCGs. Comparison of these mouse CCGs to the CCGs identified in human CRC identified CCGs that were commonly mutated in human and mouse tumors, including known human CRC driver genes such as Apc, Smad4, Pten, Trp53, Fbxw7, and Tgfbr2 as well as genes whose functions in human CRC are unknown. Interestingly, nearly half of all tumors were adenocarcinomas. Subsequent classification of tumors, depending on the malignancy grade, and analysis of corelated gene mutations, identified candidate CCGs that are likely to be involved in malignant tumor progression. These data showed that SB mutagenesis can also identify genes that function at different stages of tumor development. 24
FIGURE 4.
The mating strategy used to generate 4 different quadruple compound mice. Heterozygous mice for each sensitizing mutation were crossed with Villin‐CreERT2 transgenic mice to generate double compound mutant mice, which were subsequently crossed with mice homozygous for the SB transposase (lslSB11) and the T2/Onc2 transposon concatamer. Note that the T2/Onc2 transposon concatamer contains hundreds of copies of the T2/Onc2 transposon, all linked together at a single site in the genome. The ERT2 cassette makes it possible to control the activity of Cre recombinase by tamoxifen addition 24
In addition, comparison of CCGs with the dataset of genes that were epigenetically silenced in CRC enriched 10 genes. These genes are likely to function as cancer drivers. Furthermore, SB mutagenesis screens identified several common integration sites in which CCGs were not annotated. These genomic loci may function as cancer‐specific regulatory elements for gene expression, therefore it will be interesting to compare these with the loci identified from Assay for Transposase‐Accessible Chromatin (ATAC)‐seq, which identified the active chromatin regions, to enrich functional intergenic regions in the development of cancer.
5. UNDERSTANDING CANCER GENOME EVOLUTION IN THE INTESTINE
Interestingly, the most frequently mutated gene in ApcMin:SB, KrasG12D:SB and p53R172H:SB tumors was Apc. This finding is consistent with APC’s role as a gate‐keeping gene in human CRC. Surprisingly, Apc was not the most commonly mutated gene in Smad4KO:SB tumors. In Smad4KO:SB tumors, the most frequently mutated gene was Smad4 itself. Transposons were specifically inserted in the 1 remaining wild‐type Smad4 allele present in these mice to induce bi‐allelic inactivation of Smad4 in tumor cells. Insertions in Rspo1 and Rspo2 were also enriched in Smad4KO:SB tumors. R‐spondins are secreted proteins that bind to Lgr4/5/6 cell‐surface receptors to enhance Wnt signaling. 47 R‐spondins are necessary to maintain intestinal stem cells and are therefore one of the essential components for intestinal organoid culture. 48 In Smad4KO:SB tumors, insertions in Rspo1 and Rspo2 were primarily located in 5′ promoter regions, in the same transcriptional orientation, and resulted in overexpression of the Rspo1/2 gene. This finding is consistent with evidence that Wnt signaling activation is observed in nearly all the CRC. It still remains unknown why R‐spondins were selectively overexpressed in Smad4‐deficient tumors, but some studies have shown that R‐spondins induce apoptosis through activation of TGFβ signaling. 49 , 50 Inhibition of TGFβ signaling by bi‐allelic Smad4 inactivation in the environment of abundant R‐spondins may be a strategy for tumor cells to escape apoptosis. However, SB mutagenesis on the homozygous Tgfbr2 knockout background (a gene encoding the type II TGFβ receptor) did not enrich for SB insertions in Rspo1 or Rspo2. 25 Therefore, there may be a specific cooperation between overexpression of R‐spondins and loss of Smad4 in intestinal tumor development.
Collectively, these data showed that a pre‐existing mutation in a pre‐malignant cancer cell can induce an intrinsic selection pressure that influences the nature of the mutation that is selected next. Whereas mutations occur randomly, their selection does not. In other words, the cancer‐causing mutation that occurs first, influences the nature of the mutation that is selected next, which in turn, influences the mutation that is selected third, and so on down the line. To put this another way, the order in which mutations accumulate in tumor cells over time is not random. Mutations occur randomly but the selection of mutations does not. This helps to explain why, in human CRC, the mutations largely occur in a non‐random order, with APC mutations occurring first, KRAS mutations second, followed by SMAD4 and then TP53 mutations. 51 These studies also demonstrated the power of SB mutagenesis for understanding how cancer genomes evolve during cancer progression.
6. SB SCREENS IN THE STOMACH
Gastric cancer is one of the leading causes of cancer‐related deaths worldwide. Approximately 10% of human gastric cancers contain loss‐of‐function mutations in SMAD4, 52 consistent with studies showing that Smad4 knockout mice developed gastric tumors. 44 At the time when SB screening in the stomach was performed, a mouse line expressing Cre specifically in gastric epithelial cells was not available. Therefore, whole body SB mutagenesis on the Smad4 knockout background was performed. Analysis of 66 gastric tumors identified 941 CCGs, which included genes involved in Wnt signaling, Akt signaling, TGFβ signaling or regulation of tight junctions. As expected, the most highly mutated gene was Smad4, which presumably resulted in bi‐allelic inactivation of Smad4. Interestingly, no insertions in Rspo1 or Rspo2 were observed in this screen, which was in sharp contrast with the results obtained from SB screens in the intestine on the Smad4 mutant background. Instead, mutations were identified in other upstream Wnt signaling components, such as Lrp6. These results showed that tissue type also matters for tumor evolution.
7. CANCER ORIGINS
Based upon these results and combined with studies of others, we recently suggested that mutations of selected oncogenes or tumor suppressor genes function initially in different tissue‐specific stem cells to clonally increase the number of cells in the tissue, producing a small begin tumor. 51 We further proposed that these initial or truncal mutations are themselves, tissue‐specific, with each different type of stem cell responding to only a limited set of truncal mutations. A good example of this can be found in the type of cancers that occur in patients with Li‐Fraumeni syndrome, who have germline mutations in TP53. In these patients, tumors derived from ectodermal and mesodermal tissues are observed at a high excess risk (250‐500‐fold) in childhood (1‐15 y of age) and middle age (20‐50 y of age), whereas tumors derived from endodermal tissues occur at lower excess risk (2‐4‐fold) and older ages (50‐70 y of age). 53 This reason for this is thought to be that inherited TP53 mutations are truncal mutations in ectodermal‐derived and mesodermal‐derived cancers but are progression mutations in endodermal derived cancers.
8. CONCLUSIONS
Sleeping Beauty mutagenesis screens have been performed in many different mouse tissues, including the GI tract. Genes mutated in human and mouse are then identified and assumed to be cancer genes based upon their evolutionary conservation in cancer development. Other genes that are mutated in mouse tumors, but not in human tumors, could also represent new cancer genes that escaped detection in human tumors due to a variety of different reasons. In both cases, experimental validation will be necessary to confirm their oncogenic ability. One high‐throughput method for validating CRC tumor suppressor genes makes use of CRISPR‐Cas9‐mediated gene knockouts in benign tumor‐derived intestinal organoids. 54 In the end, the hope is that the identification of novel driver genes by SB mutagenesis will help to identify new therapeutic targets for the treatment of CRC.
Sleeping Beauty mutagenesis can also be applied to understanding the mechanisms for drug resistance. This is important as acquiring resistance to anti‐cancer drugs is one of the major problems in the clinic. BRAF inhibitors such as PLX4720 exert anti‐tumor responses in ~80% of BRAF mutated tumors, however, resistant tumors quickly emerge. One study used SB mutagenesis to model melanoma in mice and obtain PLX4720‐resistant tumors. Eight genes, including Braf, Mitf and Eras were significantly more mutated by SB in PLX4720‐resistant tumors, 28 highlighting the power of SB mutagenesis for identifying genes involved in drug resistance. Another example is the identification of resistance mechanisms to p53‐MDM2 inhibition by PiggyBac transposon mutagenesis. MDM2 degrades p53, therefore compounds inhibiting the interaction between p53 and MDM2 restore p53 function. However, tumors treated with p53‐MDM2 inhibitors relapsed very rapidly. Interestingly, genes mutated by SB in these resistance tumors were significantly enriched for genes that function in the p53 pathway, including p53 itself and the p53 family members p63 and p73. 55 These studies may one day help us to predict the future clinical course of patients treated with these inhibitors.
Most CCGs identified in SB screens are usually identified in more than 1 screen and 1 type of cancer. Therefore, the comparison of CCGs identified in different cancer types can help in understanding the complexity of cancer. To share the data obtained from different SB screens, databases have been developed, 56 , 57 such as the Sleeping Beauty Cancer Driver DataBase (SBCDDB, http://sbcddb.moffitt.org) or The Candidate Cancer Gene Database (http://ccgd‐starrlab.oit.umn.edu/index.html). By keying‐in the name of your gene of interest, you can identify the type of cancers carrying SB mutations in your gene, including the frequency of mutations in your gene, the patterns of transposon insertions in your gene, and studies in which your gene was identified. The results are cumulative and, as more data become available, the value of SB mutagenesis for cancer studies becomes increasingly more powerful.
ACKNOWLEDGMENTS
This work was supported by Grant‐in‐Aid for Scientific Research (20H03522), and the MSD Foundation.
Takeda H, Jenkins NA, Copeland NG. Identification of cancer driver genes using Sleeping Beauty transposon mutagenesis. Cancer Sci. 2021;112:2089–2096. 10.1111/cas.14901
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