Evidence map›Paper›PMID 33402975›Full record

ArticleAfrican health sciences2020

Determination of expression profile of p53 gene in different grades of breast cancer tissues by real time PCR.

Haleema Sadia, Munir Ahmad Bhinder, Asma Irshad, Beenish Zahid, Rais Ahmed, Sana Ashiq, Kausar Malik, Muhammad Riaz, Tariq Nadeem, Kanwal Ashiq and 1 more

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Article in African health sciences, 2020. 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
0.6field-weighted citation impact, top 34% 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

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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, 15 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

11 authors at 6 institutions in 1 country.

Haleema SadiaDepartment of Biotechnology, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan.
Munir Ahmad BhinderDepartment of Human Genetics and Molecular Biology, University of Health Sciences, Lahore, Pakistan.
Asma IrshadDepartment of Life Sciences, University of Management and Technology (UMT) Lahore, Pakistan.
Beenish ZahidDepartment of Pathology, UVAS, Narowal, Pakistan.
Rais AhmedDepartment of Microbiology, Cholistan University of Veterinary and Animal Sciences CUVAS, Cholistan, Pakistan.
Sana AshiqCenter for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan.
Kausar MalikNational Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Muhammad RiazDepartment of Allied Health Sciences, University of Sargodha, Sargodha Pakistan.
Tariq NadeemNational Centre of Excellence in Molecular Biology, University of the Punjab, Lahore, Pakistan.
Kanwal AshiqFaculty of Pharmaceutical Sciences, Superior University Lahore, Pakistan.
Ali AkbarDepartment of Microbiology, University of Balochistan, Pakistan.
University of the Punjab · PKCentre of Excellence in Molecular Biology · PKSuperior University · PKUniversity of Balochistan · PKUniversity of Health Sciences Lahore · PKUniversity of Sargodha · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPakistan has a high incidence of breast cancer in Asia, where annually 16,232 deaths are reported. There are many exogenous and endogenous risk factors that affect the tumor suppressor genes and oncogenes. The p53 gene is a tumor suppressor gene and it has a role to protect the whole genome from external and internal stresses, which causes damages to the genome.

objectiveThe aim of the current study was to investigate the p53 gene expression by using the real-time PCR technique in different grades of breast cancer as compared to the normal tissue.

methodsFresh Modified Radical Mastectomy (MRM) samples (grade1-grade3) were collected from different hospitals of the Lahore. The project was approved by an ethical review committee of Jinnah Hospital, Lahore. And before sampling an informed consent was obtained from patients and clinicians. RNA from fresh biopsies was extracted by Qiagen extraction kit and cDNA was formed. Real time PCR performed by using SYBR green master mix (ABI) and the data was evaluated by using Livak method. Statistical analysis was done by using Microsoft Excel.

resultsThere was an abnormal gene expression of p53 in all grades of the breast tumors. Non-significant (p>0.05) difference of down and up regulation of p53 in different grades of breast tumor was found. However, as a whole up-regulation was more than down-regulation with significant difference (p<0.0011).

conclusionThe abnormal expression of p53 shows that there are some genetic and epigenetic factors which are the primal cause of an abnormal gene expression. It is recommended that perform next generation sequencing (NGS) of the gene to find out the mutations causing the abnormal behavior of p53 gene.

Indexed as

Breast NeoplasmsDown-RegulationFemaleGenes, p53HumansMastectomyMiddle AgedNeoplasm GradingPakistanReal-Time Polymerase Chain ReactionTumor Suppressor Protein p53Up-RegulationTumor Suppressor Protein p53Breast cancerdown-regulationp53 genePakistanPunjabreal-time PCRup-regulation

Identifiers

PMID33402975
PMCPMC7751535
OpenAlexW3092121391

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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.