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5′/ 3′ imbalance strategy to detect ALK fusion genes in circulating tumor RNA from patients with non-small cell lung cancer

Overview of attention for article published in Journal of Experimental & Clinical Cancer Research, March 2018
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Title
5′/ 3′ imbalance strategy to detect ALK fusion genes in circulating tumor RNA from patients with non-small cell lung cancer
Published in
Journal of Experimental & Clinical Cancer Research, March 2018
DOI 10.1186/s13046-018-0735-1
Pubmed ID
Authors

Yongqing Tong, Zhijun Zhao, Bei Liu, Anyu Bao, Hongyun Zheng, Jian Gu, Mary McGrath, Ying Xia, Bihua Tan, Chunhua Song, Yan Li

Abstract

Detecting an ALK fusion gene in patients with non-small cell lung cancer (NSCLC) could provide evidence to guide individualized therapy. The 5'/3' imbalance strategy for quantitative reverse transcription-PCR (RT-qPCR) was developed to detect ALK fusion genes in circulating tumor RNA (ctRNA) of NSCLC patients. This method was validated in patients with the ALK fusion gene confirmed by next generation sequencing (NGS). The amount of the ALK fusion gene detected by the new method ranged from 33.2 to 987.4, (mean 315.2), in the patients confirmed to have the ALK fusion gene (+). This is much higher than the amount of fusion gene detected in the patients who are negative for the ALK fusion gene (-). The amount detected in the ALK fusion gene (-) samples ranged from 0.36 to 13.04, (mean 4.58). In 188 NSCLC patients, the specificity and sensitivity of the method was compared to that of the FISH method. About 10.64% of the patients showed higher ALK fusion gene expression, and were classified as ALK fusion gene (+). This is identical to the percentage of patients detected by the FISH method to be ALK fusion gene (+). The cutoff value for diagnosis of ALK fusion (+) is 32.9 as determined by this method. A new RT-PCR method using a 5'/3' imbalance strategy was developed, with high specificity and sensitivity, for detection of the ALK fusion gene in ctRNA of NSCLC patients. This method can rapidly detect ALK fusion genes in patients, which will be helpful for guiding targeted therapy, particularly the individualized usage of TKIs in these patients.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 29%
Student > Ph. D. Student 3 13%
Student > Doctoral Student 2 8%
Student > Bachelor 1 4%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 10 42%
Readers by discipline Count As %
Medicine and Dentistry 5 21%
Biochemistry, Genetics and Molecular Biology 4 17%
Immunology and Microbiology 1 4%
Agricultural and Biological Sciences 1 4%
Unknown 13 54%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 March 2021.
All research outputs
#14,533,713
of 18,863,398 outputs
Outputs from Journal of Experimental & Clinical Cancer Research
#747
of 1,599 outputs
Outputs of similar age
#204,898
of 290,763 outputs
Outputs of similar age from Journal of Experimental & Clinical Cancer Research
#1
of 1 outputs
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