↓ Skip to main content

PARP1 Is Up-Regulated in Non-small Cell Lung Cancer Tissues in the Presence of the Cyanobacterial Toxin Microcystin

Overview of attention for article published in Frontiers in Microbiology, August 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
reddit
1 Redditor

Readers on

mendeley
77 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
PARP1 Is Up-Regulated in Non-small Cell Lung Cancer Tissues in the Presence of the Cyanobacterial Toxin Microcystin
Published in
Frontiers in Microbiology, August 2018
DOI 10.3389/fmicb.2018.01757
Pubmed ID
Authors

Patrick L. Apopa, Lisa Alley, Rosalind B. Penney, Konstantinos Arnaoutakis, Mathew A. Steliga, Susan Jeffus, Emine Bircan, Banu Gopalan, Jing Jin, Preecha Patumcharoenpol, Piroon Jenjaroenpun, Thidathip Wongsurawat, Nishi Shah, Gunnar Boysen, David Ussery, Intawat Nookaew, Pebbles Fagan, Gurkan Bebek, Mohammed S. Orloff

Abstract

Non-small cell lung cancer (NSCLC) is the major form of lung cancer, with adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) being its major subtypes. Smoking alone cannot completely explain the lung cancer etiology. We hypothesize that altered lung microbiome and chronic inflammatory insults in lung tissues contribute to carcinogenesis. Here we explore the microbiome composition of LUAD samples, compared to LUSC and normal samples. Extraction of microbiome DNA in formalin-fixed, paraffin-embedded (FFPE) lung tumor and normal adjacent tissues was meticulously performed. The 16S rRNA product from extracted microbiota was subjected to microbiome amplicon sequencing. To assess the contribution of the host genome, CD36 expression levels were analyzed then integrated with altered NSCLC subtype-specific microbe sequence data. Surprisingly phylum Cyanobacteria was consistently observed in LUAD samples. Across the NSCLC subtypes, differential abundance across four phyla (Proteobacteria, Bacteroidetes, Actinobacteria, and Firmicutes) was identified based on the univariate analysis (p-value < 6.4e-4 to 3.2e-2). In silico metagenomic and pathway analyses show that presence of microcystin correlates with reduced CD36 and increased PARP1 levels. This was confirmed in microcystin challenged NSCLC (A427) cell lines and Cyanobacteria positive LUAD tissues. Controlling the influx of Cyanobacteria-like particles or microcystin and the inhibition of PARP1 can provide a potential targeted therapy and prevention of inflammation-associated lung carcinogenesis.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 17%
Student > Master 11 14%
Student > Ph. D. Student 6 8%
Professor 5 6%
Student > Bachelor 4 5%
Other 15 19%
Unknown 23 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 21%
Medicine and Dentistry 8 10%
Pharmacology, Toxicology and Pharmaceutical Science 6 8%
Agricultural and Biological Sciences 6 8%
Nursing and Health Professions 3 4%
Other 10 13%
Unknown 28 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 August 2018.
All research outputs
#15,014,589
of 23,096,849 outputs
Outputs from Frontiers in Microbiology
#14,033
of 25,270 outputs
Outputs of similar age
#198,487
of 330,723 outputs
Outputs of similar age from Frontiers in Microbiology
#445
of 751 outputs
Altmetric has tracked 23,096,849 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,270 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 330,723 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 751 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.