Sensitivity of FISH in detection ofMLL translocations

Cuthbert, Gavin; Thompson, Karen; Breese, Gareth J.; McCullough, S; Bown, Nick

doi:10.1002/1098-2264(2000)9999:9999<::aid-gcc1016>3.0.co;2-k

Cited by 30 publications

(13 citation statements)

References 9 publications

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“…In addition, for MLL gene rearrangements RT-PCR, genomic Southern blots, and fluorescence in situ hybridization-based assays have all proved of utility; however, no single assay provides complete diagnostic accuracy. [35][36][37] In this setting a standardized single platform for class assignment could serve not only to improve diagnostic accuracy, but also to facilitate cross comparisons between therapeutic protocols.…”

Section: Discussionmentioning

confidence: 99%

Classification of pediatric acute lymphoblastic leukemia by gene expression profiling

Ross

Zhou

Song

et al. 2003

Blood

511

473

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Contemporary treatment of pediatric acute lymphoblastic leukemia (ALL) requires the assignment of patients to specific risk groups. We have recently demonstrated that expression profiling of leukemic blasts can accurately identify the known prognostic subtypes of ALL, including T-cell lineage ALL (T-ALL), E2A-PBX1, TEL-AML1, MLL rearrangements, BCR-ABL, and hyperdiploid karyotypes with more than 50 chromosomes. As the next step toward developing this methodology into a frontline diagnostic tool, we have now analyzed leukemic blasts from 132 diagnostic samples using higher density oligonucleotide arrays that allow the interrogation of most of the identified genes in the human genome. Nearly 60% of the newly identified subtype discriminating genes are novel markers not identified in our previous study, and thus should provide new insights into the altered biology underlying these leukemias. Moreover, a proportion of the newly selected genes are highly ranked as class discriminators, and when incorporated into class-predicting algorithms resulted in an overall diagnostic accuracy of 97%. The performance of an array containing the identified discriminating genes should now be assessed in frontline clinical trials in order to determine the accuracy, practicality, and cost effectiveness of this methodology in the clinical setting. (Blood. 2003;

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Section: Discussionmentioning

confidence: 99%

Classification of pediatric acute lymphoblastic leukemia by gene expression profiling

Ross

Zhou

Song

et al. 2003

Blood

511

473

View full text Add to dashboard Cite

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“…In this study, sensitivity of FISH for detection of BCR-ABL, TEL-AML1 fusions, and MLL-rearrangements is very high, which is in concordance to other studies. [22][23][24] FISH seems to be the best diagnostic technique for detecting t(9;22) and t(11q23). For t(12;21) only 2 fusions were missed, which might be due to interpretation or technique failures.…”

Section: Discussionmentioning

confidence: 99%

“…The MLL gene has multiple potential partner genes and various breaking points, and therefore, rearrangements involving MLL are challenging to detect. 22 RQ-PCR analysis only needs small amounts of patient's RNA, it does not require dividing cells and it is extremely sensitive in detecting rare abnormal cells. Furthermore, results are achievable in a short time.…”

Section: Discussionmentioning

confidence: 99%

Karyotyping, FISH, and PCR in Acute Lymphoblastic Leukemia

Nordkamp

Schoot

Berg³

2009

Journal of Pediatric Hematology/Oncology

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“…Assays based on fluorescence in situ hybridization (FISH) have been described for rapid detection of MLL rearrangements in acute leukemia. 18,19 Split signal FISH methods can detect all 11q23 rearrangements, with low false positivity. 20,21 However, these techniques cannot be used for precise identification of the involved partner gene.…”

Section: Introductionmentioning

confidence: 99%