| Literature DB >> 28032602 |
Hui Yu1,2, JianHua Chang1,2, Fang Liu3, Qifeng Wang4,2, YongMing Lu4,2, ZhuanXu Zhang5,2, Jiabing Shen6,2, Qing Zhai3,2, Xia Meng7,8, Jialei Wang1,2, Xun Ye7,8.
Abstract
Lung cancer patients with anaplastic lymphoma kinase (ALK) rearrangements are candidates for targeted therapeutics. However, patients must be tested with a companion diagnostic assay to realize their ALK rearrangement status. We analyzed the publicly available E-GEOD-31210 microarray dataset and identified a non-coding RNA, sweyjawbu, which is strongly associated with ALK rearrangements. We validated these results using quantitative real-time PCR in an independent cohort consisting of 4 cell lines and 83 clinical samples. We could differentiate between ALK rearrangement-positive and -negative lung cancer samples by comparing sweyjawbu expression. Additionally, ALK rearrangement status was determined by comparing the expression of the 5' and 3' regions of the ALK transcript or by detecting known ALK hybrid subtypes. Thus, using our homebrew PCR assay, we were able to accurately detect ALK rearrangements, which could be used for diagnostic screening of lung cancer patients. The prototype could potentially be transferred to an automatic multiplex PCR platform (FilmArray) to differentiate between ALK rearrangement-positive and -negative patients in point-of-care settings.Entities:
Keywords: anaplastic lymphoma kinase (ALK); lung carcinomas; quantitative real-time PCR; rearrangement; sweyjawbu
Mesh:
Substances:
Year: 2017 PMID: 28032602 PMCID: PMC5352355 DOI: 10.18632/oncotarget.13886
Source DB: PubMed Journal: Oncotarget ISSN: 1949-2553
Figure 1Probe sets signal intensity in the E-GEOD-31210 microarray dataset
(A) Probe set 208212_s_at, and (B) Probe set 242964_at revealed significant ALK expression in ALK rearrangement-positive samples only (Red), but rarely showed expression in other sample types (Blue: EGFR mutation; Pink: KRAS mutation; Yellow: Negative for ALK translocation and EGFR/KRAS mutation; Grey: adjacent normal tissue).
Figure 2Differences observed between ALK rearrangement-positive (NCI-H2228) and ALK rearrangement-negative (NCI-H1975, NCI-H460, and NCI-H1703) lung cancer cells
(A) Compare probe set 242964_at log2 transformed signal intensity. The signal intensity for the 242964_at probe set was extracted from the Cancer Cell Line Encyclopedia,www.broadinstitute.org/ccle. (B) Compare the relative gene expression (ΔCt) values for the sweyjawbu gene. PCR experiments were performed in quadruplicate.
Figure 3Differences between ALK rearrangement-positive and ALK rearrangement-negative lung cancer tissue samples
(A) Compare the ΔCt values for the sweyjawbu gene. (B) Compare the ΔCt values for the 5′ and 3′ regions of the ALK transcript. (C) Compare the ΔCt values for the sweyjawbu gene plus the ΔCt value for the 5′ and 3′ regions of the ALK transcript. A total of 59 lung adenocarcinoma, 4 large cell carcinoma, and 20 squamous cell carcinoma samples were included in this study. Overall, a clear difference between ALK rearrangement-positive vs. ALK rearrangement-negative samples was observed in the ΔCt. A larger difference in the ΔCt was observed between ALK rearrangement-positive and ALK rearrangement- negative samples. The greatest difference between ALK rearrangement-positive and ALK rearrangement negative samples was observed when the sum of the ΔCt plus ΔCt was calculated.
Figure 4RNAscope® RNA in situ hybridization to visualize the expression of the 5′ and 3′ regions of the ALK transcript, and sweyjawbu expression in formalin-fixed, paraffin-embedded tissue
(A) In ALK rearrangement-positive samples, the 5′ region of the ALK transcript was weakly expressed in a few cancer cells. (B) The 3′ region of the ALK transcript was highly expressed in most cancer cells. (C) The sweyjawbu transcript was also expressed in most cancer cells. (D–F). In ALK rearrangement-negative samples, the 5′ and 3′ regions of the ALK transcript, and the sweyjawbu transcript were barely expressed.