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Genomic alterations of plasma cell-free DNAs in small cell lung cancer and their clinical relevance

Overview of attention for article published in Lung Cancer (01695002), June 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
twitter
2 tweeters

Citations

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20 Dimensions

Readers on

mendeley
28 Mendeley
Title
Genomic alterations of plasma cell-free DNAs in small cell lung cancer and their clinical relevance
Published in
Lung Cancer (01695002), June 2018
DOI 10.1016/j.lungcan.2018.04.008
Pubmed ID
Authors

Meijun Du, Jonathan Thompson, Hannah Fisher, Peng Zhang, Chiang-Ching Huang, Liang Wang

Abstract

To identify genomic variations in cell-free DNA (cfDNA) and evaluate their clinical utility in small cell lung cancer (SCLC). We performed whole genome sequencing using plasma cfDNAs derived from 24 SCLC patients for copy number variation (CNV) analysis, and targeted sequencing using 17 pairs of plasma cfDNA and their matched gDNA for mutation analysis. We defined somatic mutations by comparing cfDNA to its matched gDNA with 5% variant alleles as the cutoff for mutation calls. We applied Kaplan-Meier to correlate the genomic alterations with overall survival (OS) and progression-free survival (PFS). We observed widespread somatic copy-number alterations and mutations, including amplification of MYC at 8q24, FGF10 at 5p13, SOX2 at 3q26 and FGFR1 at 8p12, as well as deletion of TP53 at 17p13, RASSF1 at 3p21.3, RB1 at 13q14.2, FHIT at 3p14, and PTEN at 10q23. The most frequent mutations were genes involved in chromatin regulation (KMT2D, ARID1A, SETBP1 and PBRM1), PI3K/MTOR pathway(MTOR,PIK13G), Notch1 signalling pathway (NOTCH1), and DNA repair related gene ATRX. Kaplan-Meier analysis revealed poor OS and PFS in patients with somatic mutations in gene SETBP1 (P = 0.0061/0.0264, HR = 4.785/3.841, 95% CI = 2.014-28.25/1.286-16.58) and PBRM1 (P = 0.0276/0.0286, HR = 3.532/3.506, 95% CI = 1.275 to 25.34/1.26-24.87). Poor OS was also associated with somatic mutations in ATRX (P = 0.0099, HR = 4.024, 95% CI = 1.926-42.95), EP300 (P = 0.025/0.0622, HR = 3.382/2.891, 95% CI = 1.448-27.76/1.013-17.29), while poor PFS was associated with ATM mutation (P = 0.0038, HR = 4.604, 95% CI = 2.211-40.93). The mutation index produced by summing up the number of mutations in the five genes was significantly associated with the poor OS/PFS (P = 0.0185/0.0294) after adjusting the effect of the stage. Our result supports blood plasma as a promising sample source for the genomic analysis in SCLC patients whose tumor tissues are scarcely available and demonstrates potential clinical utilities of cfDNA-based liquid biopsy for clinical management of this deadly disease.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 32%
Student > Master 5 18%
Researcher 4 14%
Student > Bachelor 2 7%
Librarian 1 4%
Other 4 14%
Unknown 3 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 32%
Medicine and Dentistry 6 21%
Agricultural and Biological Sciences 4 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Immunology and Microbiology 1 4%
Other 3 11%
Unknown 3 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 23 May 2019.
All research outputs
#2,299,226
of 17,368,632 outputs
Outputs from Lung Cancer (01695002)
#189
of 2,222 outputs
Outputs of similar age
#56,741
of 285,818 outputs
Outputs of similar age from Lung Cancer (01695002)
#7
of 35 outputs
Altmetric has tracked 17,368,632 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,222 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 285,818 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.