Evidence map›Paper›PMID 38200472›Full record

ArticleCancer cell international2024

Possible prognostic impact of PKCι genetic variants in prostate cancer.

Amna Hafeez, Maria Shabbir, Khushbukhat Khan, Janeen H Trembley, Yasmin Badshah, Sameen Zafar, Kanza Shahid, Hania Shah, Naeem Mahmood Ashraf, Arslan Hamid and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

14 authors at 6 institutions in 4 countries.

Amna HafeezDepartment of Healthcare Biotechnology, Rahman School of Applied Biosciences, National University of Sciences and Technology, Atta-Ur, Islamabad, Pakistan.
Maria ShabbirDepartment of Healthcare Biotechnology, Rahman School of Applied Biosciences, National University of Sciences and Technology, Atta-Ur, Islamabad, Pakistan. mshabbir@asab.nust.edu.pk.
Khushbukhat KhanDepartment of Healthcare Biotechnology, Rahman School of Applied Biosciences, National University of Sciences and Technology, Atta-Ur, Islamabad, Pakistan.
Janeen H TrembleyDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Yasmin BadshahDepartment of Healthcare Biotechnology, Rahman School of Applied Biosciences, National University of Sciences and Technology, Atta-Ur, Islamabad, Pakistan.
Sameen ZafarDepartment of Healthcare Biotechnology, Rahman School of Applied Biosciences, National University of Sciences and Technology, Atta-Ur, Islamabad, Pakistan.
Kanza ShahidDepartment of Healthcare Biotechnology, Rahman School of Applied Biosciences, National University of Sciences and Technology, Atta-Ur, Islamabad, Pakistan.
Hania ShahDepartment of Healthcare Biotechnology, Rahman School of Applied Biosciences, National University of Sciences and Technology, Atta-Ur, Islamabad, Pakistan.
Naeem Mahmood AshrafDepartment of Biochemistry and Biotechnology, University of Gujrat, Hafiz Hayat Campus, Gujrat, 50700, Punjab, Pakistan.
Arslan HamidUniversity of Bonn, LIMES Institute (AG-Netea), Carl-Troll-Str. 31, 53115, Bonn, Germany.
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.
Afifa MariumDepartment of Healthcare Biotechnology, Rahman School of Applied Biosciences, National University of Sciences and Technology, Atta-Ur, Islamabad, Pakistan.
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 · SAUniversity of Bonn · DEUniversity of Gujrat · PKUniversity of Minnesota Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSingle nucleotide polymorphisms (SNPs) have been linked with prostate cancer (PCa) and have shown potential as prognostic markers for advanced stages. Loss of function mutations in PKCι have been linked with increased risk of malignancy by enhancing tumor cell motility and invasion. We have evaluated the impact of two coding region SNPs on the PKCι gene (PRKCI) and their prognostic potential.

methodsGenotypic association of non-synonymous PKCι SNPs rs1197750201 and rs1199520604 with PCa was determined through tetra-ARMS PCR. PKCι was docked with interacting partner Par-6 to determine the effect of these variants on PKCι binding capabilities. Molecular dynamic simulations of PKCι docked with Par-6 were performed to determine variant effects on PKCι protein interactions. The possible impact of changes in PKCι protein interactions on epithelial cell polarity was hypothesized.

resultsPKCι rs1199520604 mutant genotype TT showed association with PCa (p = 0.0055), while rs1197750201 mutant genotype AA also showed significant association with PCa (P = 0.0006). The binding interaction of PKCι with Par-6 was altered for both variants, with changes in Van der Waals energy and electrostatic energy of docked structures.

conclusionGenotypic analysis of two non-synonymous PKCι variants in association with PCa prognosis was performed. Both variants in the PB1 domain showed potential as a prognostic marker for PCa. In silico analysis of the effect of the variants on PKCι protein interactions indicated they may be involved in PCa progression through aberration of epithelial cell polarity pathways.

Indexed as

Molecular dynamic simulationsPathwaysPKCιProstate cancer

Identifiers

PMID38200472
PMCPMC10782671
OpenAlexW4390705676

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.