Evidence map›Paper›PMID 31357510›Full record

ArticleGenes2019

Investigation of Precise Molecular Mechanistic Action of Tobacco-Associated Carcinogen `NNK´ Induced Carcinogenesis: A System Biology Approach.

Anukriti, Anupam Dhasmana, Swati Uniyal, Pallavi Somvanshi, Uma Bhardwaj, Meenu Gupta, Shafiul Haque, Mohtashim Lohani, Dhruv Kumar, Janne Ruokolainen and 1 more

Abstract read
In one paragraph

Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Identification and Characterization of theInternational journal of molecular sciences · 2023
    Article
  2. Article
  3. Article
  4. Review
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

AnukritiDepartment of Biosciences, Himalayan Institute of Medical Sciences, Swami Rama Himalayan University, Dehradun 248016, India.
Anupam DhasmanaDepartment of Biosciences, Himalayan Institute of Medical Sciences, Swami Rama Himalayan University, Dehradun 248016, India.
Swati UniyalSchool of Biotechnology, Gautam Buddha University, Greater Noida 201310, India.
Pallavi SomvanshiDepartment of Biotechnology, TERI School of Advanced Studies, 10, Institutional Area, Vasant Kunj, New Delhi 110070, India.
Uma BhardwajResearch and PhD Cell, Swami Rama Himalayan University, Dehradun 248016, India.
Meenu GuptaDepartment of Radiotherapy, Cancer Research Institute, Himalayan Institute of Medical Sciences, Swami Rama Himalayan University, Dehradun 248016, India.
Shafiul HaqueResearch and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan 45142, Saudi Arabia.
Mohtashim LohaniDepartment of EMS, College of Applied Medical Sciences, Jazan University, Jazan 45142, Saudi Arabia.
Dhruv KumarAmity Institute of Molecular Medicine & Stem Cell Research, Amity University, Noida, Uttar Pradesh 201303, India.
Janne RuokolainenDepartment of Applied Physics, Aalto University, 00076 Espoo, Finland. janne.ruokolainen@aalto.fi.
Kavindra Kumar KesariDepartment of Applied Physics, Aalto University, 00076 Espoo, Finland. kavindra.kesari@aalto.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is the second deadliest disease listed by the WHO. One of the major causes of cancer disease is tobacco and consumption possibly due to its main component, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK). A plethora of studies have been conducted in the past aiming to decipher the association of NNK with other diseases. However, it is strongly linked with cancer development. Despite these studies, a clear molecular mechanism and the impact of NNK on various system-level networks is not known. In the present study, system biology tools were employed to understand the key regulatory mechanisms and the perturbations that will happen in the cellular processes due to NNK. To investigate the system level influence of the carcinogen, NNK rewired protein-protein interaction network (PPIN) was generated from 544 reported proteins drawn out from 1317 articles retrieved from PubMed. The noise was removed from PPIN by the method of modulation. Gene ontology (GO) enrichment was performed on the seed proteins extracted from various modules to find the most affected pathways by the genes/proteins. For the modulation, Molecular COmplex DEtection (MCODE) was used to generate 19 modules containing 115 seed proteins. Further, scrutiny of the targeted biomolecules was done by the graph theory and molecular docking. GO enrichment analysis revealed that mostly cell cycle regulatory proteins were affected by NNK.

Indexed as

Protein Interaction MapsCarcinogenesisCarcinogensGene OntologyHumansMolecular Docking SimulationNitrosaminesProtein BindingProteomeSystems Biology4-(N-methyl-N-nitrosamino)-1-(3-pyridyl)-1-butanoneCarcinogensNitrosaminesProteomecancergene ontology.NNKprotein–protein interaction networksystems biologytopological analysis

Identifiers

PMID31357510
PMCPMC6723528

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Registered trials

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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.