| Literature DB >> 27974674 |
Kai Xue1,2, Xun Ye3,4, Fang Liu3, Qunlin Zhang1,2, Qifeng Wang5,2, Shan Huang6, Jiachen Wang1,2, YongMing Lu5,2, Ye Guo1,2, Xia Meng3,4.
Abstract
In recent years molecular subtyping has become an important tool for accurate diagnosis of many cancers; for example, the detection of ALK rearrangements in lymphoma and lung cancer helps clinicians provide more precise diagnosis and treatment. Fluorescence in situ hybridization (FISH) and immunohistochemistry (IHC) are two routine approaches used to detect ALK rearrangements. However, difficulties with acquisition of biopsy samples, high costs, and long waiting time for results negatively impact the application of these methods. A rapid and inexpensive alternative would be a useful complement to current ALK rearrangement detection. We identified a novel gene, sweyjawbu, from Affymetrix microarray studies. Its expression correlated strongly with ALK in an analysis of 1037 cancer cell lines (correlation coefficient = 0.92). By comparing sweyjawbu transcript levels, it was possible to discriminate 12 ALK rearrangement-positive lymphoma samples from 64 ALK rearrangement-negative lymphomas. Moreover, combining measurements of sweyjawbu expression and the ratio of the 5' and 3' portions of the ALK transcript provided even more accurate identification of ALK rearrangement-positive lymphomas. This novel approach is an excellent complement or alternative to existing FISH and IHC methodologies.Entities:
Keywords: ALK rearrangements; lymphoma; sweyjawbu
Mesh:
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Year: 2017 PMID: 27974674 PMCID: PMC5352370 DOI: 10.18632/oncotarget.13851
Source DB: PubMed Journal: Oncotarget ISSN: 1949-2553
Figure 1sweyjawbu expression is highly associated to ALK activated transcription
Probe sets 208212_s_at (ALK) and 242964_at (sweyjawbu) signal intensities from 1037 different cell lines from Cancer Cell Line Encyclopedia (CCLE) database were plotted. Samples were arranged from highest to lowest by comparing the 208212_s_at probe set signal intensity. Those two probe sets’ expression were highly correlated.
Figure 2Differences were observed between ALK rearrangement-positive and ALK rearrangement-negative lymphoma cells
A. Compare probe set 242964_at signal intensity. B. Compare the relative expression (ΔCt) value for sweyjawbu gene. Probe set 242964_at signal intensity was extracted from Cancer Cell Line Encyclopedia,www.broadinstitute.org/ccle. PCR experiments were performed in quadruplicate. There is no amplification for sweyjawbu gene in Toledo cell. Then the corresponding Ct value for sweyjawbu gene was set to 35 for result demonstration.
Figure 3Differences were observed between ALK rearrangement-Positive lymphomas and ALK rearrangement-negative lymphomas
A. Compare ΔCt value for sweyjawbu gene. B. Compare ΔCt value for 5’ portion and 3’ portion of ALK transcript. C. Compare ΔCt value for sweyjawbu gene + ΔCt value for 5’ portion and 3’ portion of ALK transcript. 13 ALCL tumors and 63 DLBCL tumors were included into this study. The 11 ALCL and 1 DLBCL tumors confirmed as ALK-positive with FISH or IHC, exhibited lower ΔCt value. Combination of ΔCtsweyjawbu and ΔCtALK3’/5’ could distinguish ALK rearrangement positive samples from ALK rearrangement-negative samples, despite a few misclassifications when used separately.
Figure 4In situ hybridization to characterize ALK RNA and sweyjawbu RNA expression in lymphoma cells
Intensive fast red Staining was observed in ALK rearrangement positive lymphoma cells. A. Section hybridized with probes target human ALK exon 19 to exon 29. B. Section hybridized with probes target human sweyjawbu. C. IHC was performed to determine ALK rearrangement status.