Abstract:Chromosomal rearrangements of the human MLL (mixed lineage leukemia) gene are associated with high-risk infant, pediatric, adult and therapy-induced acute leukemias. We used long-distance inverse-polymerase chain reaction to characterize the chromosomal rearrangement of individual acute leukemia patients. We present data of the molecular characterization of 1590 MLL-rearranged biopsy samples obtained from acute leukemia patients. The precise localization of genomic breakpoints within the MLL gene and the invol… Show more
“…Some cancer genes also show negative selection in cancer genomes, such as the oncogene MLLT3 (C N /C S = 0.11, p = 3.14 × 10 ). The MLL-MLLT3 gene fusion is the main mutation type of MLLT3 that drives tumorigenesis in acute leukemia [37]. Interestingly, MLLT3 has recurrent synonymous mutations at amino acid positions 166 to 168 (S166S, 8/9155; S167S, 33/9155; S168S, 23/9155).…”
Section: Selection Pressures On Cancer-associated Genesmentioning
Human genes exhibit different effects on fitness in cancer and normal cells. Here, we present an evolutionary approach to measure the selection pressure on human genes, using the well-known ratio of the nonsynonymous to synonymous substitution rate in both cancer genomes (C N /C S ) and normal populations (p N /p S ). A new mutationprofile-based method that adopts sample-specific mutation rate profiles instead of conventional substitution models was developed. We found that cancer-specific selection pressure is quite different from the selection pressure at the species and population levels. Both the relaxation of purifying selection on passenger mutations and the positive selection of driver mutations may contribute to the increased C N /C S values of human genes in cancer genomes compared with the p N /p S values in human populations. The C N /C S values also contribute to the improved classification of cancer genes and a better understanding of the onco-functionalization of cancer genes during oncogenesis. The use of our computational pipeline to identify cancerspecific positively and negatively selected genes may provide useful information for understanding the evolution of cancers and identifying possible targets for therapeutic intervention.
“…Some cancer genes also show negative selection in cancer genomes, such as the oncogene MLLT3 (C N /C S = 0.11, p = 3.14 × 10 ). The MLL-MLLT3 gene fusion is the main mutation type of MLLT3 that drives tumorigenesis in acute leukemia [37]. Interestingly, MLLT3 has recurrent synonymous mutations at amino acid positions 166 to 168 (S166S, 8/9155; S167S, 33/9155; S168S, 23/9155).…”
Section: Selection Pressures On Cancer-associated Genesmentioning
Human genes exhibit different effects on fitness in cancer and normal cells. Here, we present an evolutionary approach to measure the selection pressure on human genes, using the well-known ratio of the nonsynonymous to synonymous substitution rate in both cancer genomes (C N /C S ) and normal populations (p N /p S ). A new mutationprofile-based method that adopts sample-specific mutation rate profiles instead of conventional substitution models was developed. We found that cancer-specific selection pressure is quite different from the selection pressure at the species and population levels. Both the relaxation of purifying selection on passenger mutations and the positive selection of driver mutations may contribute to the increased C N /C S values of human genes in cancer genomes compared with the p N /p S values in human populations. The C N /C S values also contribute to the improved classification of cancer genes and a better understanding of the onco-functionalization of cancer genes during oncogenesis. The use of our computational pipeline to identify cancerspecific positively and negatively selected genes may provide useful information for understanding the evolution of cancers and identifying possible targets for therapeutic intervention.
“…More than 50 different translocations have been identified in which MLL is involved, and the most frequent ones in pB-ALL (80% of the cases in which the MLL gene is involved in pB-ALLs) are those affecting the genes AF4, AF9, ENL, AF10 and AF6 (ref. 62). Contrary to what we have described until now, in MLL-related ALLs, additional genetic alterations are uncommon (although alterations in FLT3 expression are frequently seen in MLL-based leukemias 63 ), suggesting that all the changes necessary for leukemogenesis are directly or indirectly driven by the oncogene.…”
“…More than 98% of breakpoints within the MLL1 gene are located within an 8.3-kb breakpoint cluster region between exons 8 and 13 (Meyer et al 2013) that has multiple topoisomerase II cleavage sites as well as nuclear matrix attachment regions. Interference with normal cellular processes such as therapeutic inhibition of topoisomerase II leads to the formation of chromosomal rearrangements found in leukemia (Strissel et al 1998).…”
Section: Identification and Structure Of Mll Fusionsmentioning
confidence: 99%
“…1) (Krivtsov and Armstrong 2007). Currently, more than 70 translocation partner genes have been reported; however, four (AF4, AF9, AF10, ENL) account for .75% of cases (Meyer et al 2013). …”
Section: Identification and Structure Of Mll Fusionsmentioning
Recent studies have shown the importance of chromatin-modifying complexes in the maintenance of developmental gene expression and human disease. The mixed lineage leukemia gene (MLL1) encodes a chromatin-modifying protein and was discovered as a result of the cloning of translocations involved in human leukemias. MLL1 is a histone lysine 4 (H3K4) methyltransferase that supports transcription of genes that are important for normal development including homeotic (Hox) genes. MLL1 rearrangements result in expression of fusion proteins without H3K4 methylation activity but may gain the ability to recruit other chromatin-associated complexes such as the H3K79 methyltransferase DOT1L and the super elongation complex. Therefore, chromosomal translocations involving MLL1 appear to directly perturb the regulation of multiple chromatin-associated complexes to allow inappropriate expression of developmentally regulated genes and thus drive leukemia development.
IDENTIFICATION AND STRUCTURE OF MLL FUSIONS
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