Evidence map›Paper›PMID 37667176›Full record

ArticleBMC cancer2023

Exploring the prognostic significance of PKCε variants in cervical cancer.

Sameen Zafar, Khushbukhat Khan, Yasmin Badshah, Kanza Shahid, Janeen H Trembley, Amna Hafeez, Naeem Mahmood Ashraf, Hamid Arslan, Maria Shabbir, Tayyaba Afsar and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-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

6 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 4 countries.

Sameen ZafarDepartment of Healthcare Biotechnology, Atta-Ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.ORCID http://orcid.org/0000-0002-1941-7012
Khushbukhat KhanDepartment of Healthcare Biotechnology, Atta-Ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.ORCID http://orcid.org/0000-0002-9946-9057
Yasmin BadshahDepartment of Healthcare Biotechnology, Atta-Ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan. yasmeenb_1982@yahoo.com.ORCID http://orcid.org/0000-0002-7136-8828
Kanza ShahidDepartment of Healthcare Biotechnology, Atta-Ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.ORCID http://orcid.org/0000-0002-4959-1046
Janeen H TrembleyDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Amna HafeezDepartment of Healthcare Biotechnology, Atta-Ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.ORCID http://orcid.org/0000-0001-9496-5273
Naeem Mahmood AshrafSchool of Biochemistry and Biotechnology, University of the Punjab, Lahore, Pakistan.ORCID http://orcid.org/0000-0003-3614-0702
Hamid ArslanUniversity of Bonn, LIMES Institute (AG-Netea), Carl-Troll-Str. 31, 53115, Bonn, Germany.
Maria ShabbirDepartment of Healthcare Biotechnology, Atta-Ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.ORCID http://orcid.org/0000-0002-5685-3059
Tayyaba AfsarDepartment of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Ali AlmajwalDepartment of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Suhail RazakDepartment of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia. smarazi@ksu.edu.sa.
National University of Sciences and Technology · PKKing Saud University · SAKing Saud bin Abdulaziz University for Health Sciences · SANational University of Technology · PKUniversity of Bonn · DEUniversity of Minnesota · USUniversity of the Punjab · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProtein Kinase C-epsilon (PKCε) is a member of the novel subfamily of PKCs (nPKCs) that plays a role in cancer development. Studies have revealed that its elevated expression levels are associated with cervical cancer. Previously, we identified pathogenic variations in its different domains through various bioinformatics tools and molecular dynamic simulation. In the present study, the aim was to find the association of its variants rs1553369874 and rs1345511001 with cervical cancer and to determine the influence of these variants on the protein-protein interactions of PKCε, which can lead towards cancer development and poor survival rates.

methodsThe association of the variants with cervical cancer and its clinicopathological features was determined through genotyping analysis. Odds ratio and relative risk along with Fisher exact test were calculated to evaluate variants significance and disease risk. Protein-protein docking was performed and docked complexes were subjected to molecular dynamics simulation to gauge the variants impact on PKCε's molecular interactions.

resultsThis study revealed that genetic variants rs1553369874 and rs1345511001 were associated with cervical cancer. Smad3 interacts with PKCε and this interaction promotes cervical cancer angiogenesis; therefore, Smad3 was selected for protein-protein docking. The analysis revealed PKCε variants promoted aberrant interactions with Smad3 that might lead to the activation of oncogenic pathways. The data obtained from this study suggested the prognostic significance of PRKCE gene variants rs1553369874 and rs1345511001.

conclusionThrough further in vitro and in vivo validation, these variants can be used at the clinical level as novel prognostic markers and therapeutic targets against cervical cancer.

Indexed as

Uterine Cervical NeoplasmsComputational BiologyFemaleHumansMolecular Dynamics SimulationPrognosisProtein Kinase C-epsilonProtein Kinase C-epsilonCervical cancerGenotypingMolecular dockingMolecular dynamics simulationsPKCεProtein-protein interactions

Identifiers

PMID37667176
PMCPMC10476323
OpenAlexW4386416801

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.