Prognostic Implication of MIF Gene Expression in Childhood Acute Lymphoblastic Leukemia

Identification of a Seven-lncRNA-mRNA Signature for Recurrence and Prognostic Prediction in Relapsed Acute Lymphoblastic Leukemia Based on WGCNA and LASSO Analyses

Abnormal expressions of long noncoding RNAs (lncRNAs) and protein-encoding messenger RNAs (mRNAs) are important for the development of childhood acute lymphoblastic leukemia (ALL). This study developed an lncRNA-mRNA integrated classifier for the prediction of recurrence and prognosis in relapsed childhood ALL by using several transcriptome data. Weighted gene coexpression network analysis revealed that green, turquoise, yellow, and brown modules were preserved across the TARGET, GSE60926, GSE28460, and GSE17703 datasets, and they were associated with clinical relapse and death status. A total of 184 genes in these four modules were differentially expressed between recurrence and nonrecurrence samples. Least absolute shrinkage and selection operator analysis showed that seven genes constructed a prognostic signature (including one lncRNA: LINC00652 and six mRNAs: INSL3, NIPAL2, REN, RIMS2, RPRM, and SNAP91). Kaplan-Meier curve analysis observed that patients in the high-risk group had a significantly shorter overall survival than those of the low-risk group. Receiver operating characteristic curve analysis demonstrated that this signature had high accuracy in predicting the 5-year overall survival and recurrence outcomes, respectively. LINC00652 may function by coexpressing with the above prognostic genes (INSL3, SNAP91, and REN) and lipid metabolism-related genes (MIA2, APOA1). Accordingly, this lncRNA-mRNA-based classifier may be clinically useful to predict the recurrence and prognosis for childhood ALL. These genes represent new targets to explain the mechanisms for ALL.

The role of reciprocal fusions in MLL-r acute leukemia: studying the chromosomal translocation t(4;11)

Leukemia patients bearing the t(4;11)(q21;q23) translocations can be divided into two subgroups: those expressing both reciprocal fusion genes, and those that have only the MLL-AF4 fusion gene. Moreover, a recent study has demonstrated that patients expressing both fusion genes have a better outcome than patients that are expressing the MLL-AF4 fusion protein alone. All this may point to a clonal process where the reciprocal fusion gene AF4-MLL could be lost during disease progression, as this loss may select for a more aggressive type of leukemia. Therefore, we were interested in unraveling the decisive role of the AF4-MLL fusion protein at an early timepoint of disease development. We designed an experimental model system where the MLL-AF4 fusion protein was constitutively expressed, while an inducible AF4-MLL fusion gene was induced for only 48 h. Subsequently, we investigated genome-wide changes by RNA- and ATAC-Seq experiments at distinct timepoints. These analyses revealed that the expression of AF4-MLL for only 48 h was sufficient to significantly change the genomic landscape (transcription and chromatin) even on a longer time scale. Thus, we have to conclude that the AF4-MLL fusion protein works through a hit-and-run mechanism, probably necessary to set up pre-leukemic conditions, but being dispensable for later disease progression.

The role of reciprocal fusions in MLL-r acute leukemia: studying the chromosomal translocation t(6;11)

Leukemia patients bearing t(6;11)(q27;q23) translocations can be divided in two subgroups: those with breakpoints in the major breakpoint cluster region of MLL (introns 9-10; associated mainly with AML M1/4/5), and others with breakpoints in the minor breakpoint cluster region (introns 21-23), associated with T-ALL. We cloned all four of the resulting fusion genes (MLL-AF6, AF6-MLL, exMLL-AF6, AF6-shMLL) and subsequently transfected them to generate stable cell culture models. Their molecular function was tested by inducing gene expression for 48 h in a Doxycycline-dependent fashion. Here, we present our results upon differential gene expression (DGE) that were obtained by the "Massive Analyses of cDNA Ends" (MACE-Seq) technology, an established 3'-end based RNA-Seq method. Our results indicate that the PHD/BD domain, present in the AF6-MLL and the exMLL-AF6 fusion protein, is responsible for chromatin activation in a genome-wide fashion. This led to strong deregulation of transcriptional processes involving protein-coding genes, pseudogenes, non-annotated genes, and RNA genes, e.g., LincRNAs and microRNAs, respectively. While cooperation between the MLL-AF6 and AF6-MLL fusion proteins appears to be required for the above-mentioned effects, exMLL-AF6 is able to cause similar effects on its own. The exMLL-AF6/AF6-shMLL co-expressing cell line displayed the induction of a myeloid-specific and a T-cell specific gene signature, which may explain the T-ALL disease phenotype observed in patients with such breakpoints. This again demonstrated that MLL fusion proteins are instructive and allow to study their pathomolecular mechanisms.