Evidence map›Paper›PMID 40172705›Full record

ArticleJournal of molecular histology2025

Evaluating TGF-β1 gene expression and promoter polymorphism in cervical cancer progression.

Pavan Kumar Poleboyina, Akbar Pasha, S K Heena, Sneha Malleswari Poleboyina, Smita C Pawar

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Article in Journal of molecular histology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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4 · The record

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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

5 authors.

Pavan Kumar Poleboyina *Department of Genetics and Biotechnology, University College of Science, Osmania University, Hyderabad, Telangana, 500007, India.
Akbar Pasha *Department of Genetics and Biotechnology, University College of Science, Osmania University, Hyderabad, Telangana, 500007, India.
S K HeenaDepartment of Pathology, Osmania Medical College, Hyderabad, Telangana, 500095, India.
Sneha Malleswari PoleboyinaDepartment of Genetics and Biotechnology, University College of Science, Osmania University, Hyderabad, Telangana, 500007, India.
Smita C PawarDepartment of Genetics and Biotechnology, University College of Science, Osmania University, Hyderabad, Telangana, 500007, India. smita.prof@gmail.com.

Funding

Science and Engineering Research Board EEQ/2019/000569 and No.EEQ/2023/001015
6 · The paper itself

Abstract

This study aims to investigate the TGF-β1 gene, which has significant prognostic value for early detection and diagnosis of cervical cancer, as well as TGF-β1 gene mRNA and protein expression and the association of promoter region (-509 C>T) polymorphisms with cervical cancer (CC) development. Transcriptome analysis, immunohistochemistry, and RT-PCR were conducted to determine the gene expression of TGF-β1. The PCR-SSCP and Sanger sequencing methods were employed to test and validate the TGF-β1 -509C>T promoter polymorphism in cervical squamous cell carcinoma in comparison to control samples. TGF-β1 is a cytokine that plays a role in tumorigenesis as well as physiological and pathological processes. It appeared as one of the most over-expressed genes identified through the clariom D transcriptome microarray, which describes its role in cancer progression. The results showed a significant TGF-β1 upregulation in CC compared to normal cervical tissue was confirmed using immunohistochemistry and real-time PCR. The levels of TGF-β1 were also determined using a receiver operating characteristic (ROC) curve to distinguish diseased from normal individuals. TGF-β1 ROC showed good selectivity in distinguishing malignant CC from non-malignant cervical tissues. The -509 C>T promoter polymorphism in the TGF-β1 gene is found to be significantly more common in the disease group, and in-silico analysis (using the AliBaba2.0 gene regulation tool) confirms its correlation to the loss of myogenin transcription factor binding site, may resulting in TGF-β1 overexpression.

Indexed as

Gene Expression Regulation, NeoplasticPolymorphism, Single NucleotidePromoter Regions, GeneticTransforming Growth Factor beta1Uterine Cervical NeoplasmsAdultDisease ProgressionFemaleGene Expression ProfilingHumansMiddle AgedROC CurveTGFB1 protein, humanTransforming Growth Factor beta1Cervical cancerImmunohistochemistryPromoter polymorphismReal-time PCRTGF-β1Transcriptome

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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.