Evidence map›Paper›PMID 28692419›Full record

ArticleOmics : a journal of integrative biology2017

Long-Term Cigarette Smoke Exposure and Changes in MiRNA Expression and Proteome in Non-Small-Cell Lung Cancer.

Jayshree Advani, Yashwanth Subbannayya, Krishna Patel, Aafaque Ahmad Khan, Arun H Patil, Ankit P Jain, Hitendra S Solanki, Aneesha Radhakrishnan, Sneha M Pinto, Nandini A Sahasrabuddhe and 8 more

Open access · greenAbstract read
In one paragraph

Article in Omics : a journal of integrative biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. The Roles of MicroRNA in Lung Cancer.International journal of molecular sciences · 2019
    Review
  9. Article
  10. Circular RNA Complement Factor H (CFH) Promotes Glioma Progression by Sponging miR-149 and Regulating AKT1.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 5 institutions in 2 countries.

Jayshree Advani1 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Yashwanth Subbannayya2 YU-IOB Center for Systems Biology and Molecular Medicine, Yenepoya University , Mangalore, India .
Krishna Patel1 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Aafaque Ahmad Khan1 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Arun H Patil1 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Ankit P Jain1 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Hitendra S Solanki1 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Aneesha Radhakrishnan1 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Sneha M Pinto2 YU-IOB Center for Systems Biology and Molecular Medicine, Yenepoya University , Mangalore, India .
Nandini A Sahasrabuddhe1 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Joji K Thomas1 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Premendu P Mathur4 School of Biotechnology, KIIT University , Bhubaneswar, India .
Bipin G Nair3 Amrita School of Biotechnology , Amrita Vishwa Vidyapeetham, Kollam, India .
Xiaofei Chang5 Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine , Baltimore, Maryland.
T S Keshava Prasad1 Institute of Bioinformatics , International Technology Park, Bangalore, India .
David Sidransky5 Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine , Baltimore, Maryland.
Harsha Gowda1 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Aditi Chatterjee1 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Institute of Bioinformatics · INYenepoya University · INJohns Hopkins University · USAmrita Vishwa Vidyapeetham · INKIIT University · IN

Funding

Proteome Characterization Center: A Genoproteomics Pipeline for Cance ResearchU24CA160036 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2011 to 2016
$10.7M
NCI NIH HHS U24 CA160036
6 · The paper itself

Abstract

Chronic exposure to cigarette smoke markedly increases the risk for lung cancer. Regulation of gene expression at the post-transcriptional level by miRNAs influences a variety of cancer-related interactomes. Yet, relatively little is known on the effects of long-term cigarette smoke exposure on miRNA expression and gene regulation. NCI-H292 (H292) is a cell line sensitive to cigarette smoke with mucoepidermoid characteristics in culture. We report, in this study, original observations on long-term (12 months) cigarette smoke effects in the H292 cell line, using microarray-based miRNA expression profiling, and stable isotopic labeling with amino acids in cell culture-based quantitative proteomic analysis. We identified 112 upregulated and 147 downregulated miRNAs (by twofold) in cigarette smoke-treated H292 cells. The liquid chromatography-tandem mass spectrometry analysis identified 3,959 proteins, of which, 303 proteins were overexpressed and 112 proteins downregulated (by twofold). We observed 39 miRNA target pairs (proven targets) that were differentially expressed in response to chronic cigarette smoke exposure. Gene ontology analysis of the target proteins revealed enrichment of proteins in biological processes driving metabolism, cell communication, and nucleic acid metabolism. Pathway analysis revealed the enrichment of phagosome maturation, antigen presentation pathway, nuclear factor erythroid 2-related factor 2-mediated oxidative stress response, and cholesterol biosynthesis pathways in cigarette smoke-exposed cells. In conclusion, this report makes an important contribution to knowledge on molecular changes in a lung cell line in response to long term cigarette smoke exposure. The findings might inform future strategies for drug target, biomarker and diagnostics innovation in lung cancer, and clinical oncology. These observations also call for further research on the extent to which continuing or stopping cigarette smoking in patients diagnosed with lung cancer translates into molecular and clinical outcomes.

Indexed as

BiomarkersCarcinoma, Non-Small-Cell LungCell Line, TumorCigarette SmokingGene Expression RegulationHumansLung NeoplasmsMicroRNAsBiomarkersMicroRNAsbiomarkerscigarette smokediagnosticslung cancermiRNA profiling

Identifiers

PMID28692419
PMCPMC6049984
OpenAlexW2734455732

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.