Evidence map›Paper›PMID 36727057›Full record

ArticleFrontiers in oncology2022

FOXO3 gene hypermethylation and its marked downregulation in breast cancer cases: A study on female patients.

Mohammad Aasif Khan, Sadaf, Irfan Ahmad, Abdulaziz A Aloliqi, Alaa Abdulaziz Eisa, Mohammad Zeeshan Najm, Maria Habib, Saad Mustafa, Sheersh Massey, Zoya Malik and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  3. Article
  4. Article
  5. Article
  6. Article
  7. The Role of the Fox Gene in Breast Cancer Progression.International journal of molecular sciences · 2025
    Review
  8. Article
  9. Article
  10. Article
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

16 authors at 5 institutions in 3 countries.

Mohammad Aasif KhanHuman Genetics Laboratory, Department of Biosciences, Jamia Millia Islamia, New Delhi, India.
SadafHuman Genetics Laboratory, Department of Biosciences, Jamia Millia Islamia, New Delhi, India.
Irfan AhmadDepartment of Medical Hematology & Medical Oncology, School of Medicine, Mays Cancer Canter, San Antonio, TX, United States.
Abdulaziz A AloliqiDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Alaa Abdulaziz EisaDepartment of Medical Biotechnology, College of Applied Medical Sciences, Qassim University, Buraydah, Saudi Arabia.
Mohammad Zeeshan NajmDepartment of Medical Laboratories Technology, College of Applied Medical Sciences, Taibah University, Medina, Saudi Arabia.
Maria HabibHuman Genetics Laboratory, Department of Biosciences, Jamia Millia Islamia, New Delhi, India.
Saad MustafaHuman Genetics Laboratory, Department of Biosciences, Jamia Millia Islamia, New Delhi, India.
Sheersh MasseyHuman Genetics Laboratory, Department of Biosciences, Jamia Millia Islamia, New Delhi, India.
Zoya MalikHuman Genetics Laboratory, Department of Biosciences, Jamia Millia Islamia, New Delhi, India.
Kumari SunitaHuman Genetics Laboratory, Department of Biosciences, Jamia Millia Islamia, New Delhi, India.
Jogendra Singh PawarSchool of Biosciences, Apeejay Stya University, Gurugram, India.
Naseem AkhterDepartment of Medical Chemistry and Molecular Pharmacology, College of Pharmacy, Purdue University, West Lafayette, IN, United States.
N K ShuklaDepartment of Neurology, Henry ford Health System, Detroit, MI, United States.
S V S DeoDepartment of Neurology, Henry ford Health System, Detroit, MI, United States.
Syed Akhtar HusainHuman Genetics Laboratory, Department of Biosciences, Jamia Millia Islamia, New Delhi, India.
Jamia Millia Islamia · INAll India Institute of Medical Sciences · INKing Khalid University · SAPurdue University West Lafayette · USTaibah University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: FOXO3, a member of the FOX transcription factor family, is frequently described as being deregulated in cancer. Additionally, notable role of FOXO3 can be easily recognized in the process of ageing and survival. Even though various studies have been done to acknowledge the tumour-suppressive or oncogenic role of FOXO3 in cancer, still there exist a lack of understanding in terms of cancer prognosis and treatment. Therefore, to provide better insight, our study aims to evaluate the role and function of FOXO3 in breast cancer in Indian female patients. We examined the FOXO3 expression levels in breast cancer samples by analyzing mRNA and protein expression along with its clinicopathological parameters. Results: A total of 127 cases of breast cancer with equal normal cases (n=127) were assessed with methylation (MS-PCR), Immunohistochemistry (IHC), mRNA expression using Real-time PCR was analysed and 66.14% cases at mRNA level were found to be downregulated, while 81.10% of cases had little or very little protein expression. Our data state, the promoter hypermethylation of the FOXO3 gene and the downregulated protein expression are significantly correlated (p=0.0004). Additionally, we found a significant correlation between the level of FOXO3 mRNA with ER (p=0.04) and status of lymph node (p=0.01) along with this. Conclusion: Data suggests the prognostic significance and the tumour-suppressive role of FOXO3 in breast cancer cases studied in India. However, there is a need for the extended research targeting FOXO3 to measure its clinical potential and develop well-defined therapeutic strategies.

Indexed as

clinical diagnosisexpressionimmunohistochemistrymethylationtumor

Identifiers

PMID36727057
PMCPMC9885168
OpenAlexW4316363142

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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.