Evidence map›Paper›PMID 39567714›Full record

ArticleScientific reports2024

Deciphering molecular landscape of breast cancer progression and insights from functional genomics and therapeutic explorations followed by in vitro validation.

Bushra Khan, Rowaid Qahwaji, Mashael S Alfaifi, Tanwir Athar, Abdullah Khan, Mohammad Mobashir, Ibraheem Ashankyty, Khalid Imtiyaz, Areej Alahmadi, M Moshahid A Rizvi

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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.

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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

10 authors.

Bushra KhanDepartment of Biosciences, Jamia Millia Islamia, New Delhi, India.
Rowaid QahwajiDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, 22233, Saudi Arabia.
Mashael S AlfaifiDepartment of Epidemiology, Faculty of Public Health and Health Informatics, Umm Al-Qura University, Makkah, Saudi Arabia.
Tanwir AtharCollege of Dentistry and Pharmacy, Buraydah Private Colleges, Buraydah, 51418, Saudi Arabia.
Abdullah KhanDepartment of Mechanical Engineering, Faculty of Engineering, Jamia Millia Islamia, New Delhi, India.
Mohammad MobashirDepartment of Biomedical Laboratory Science, Faculty of Natural Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, 7491, Norway. mohammad.mobashir@ntnu.no.
Ibraheem AshankytyDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, 22233, Saudi Arabia.
Khalid ImtiyazDepartment of Biosciences, Jamia Millia Islamia, New Delhi, India.
Areej AlahmadiDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, 22233, Saudi Arabia.
M Moshahid A RizviDepartment of Biosciences, Jamia Millia Islamia, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is caused by aberrant breast cells that proliferate and develop into tumors. Tumors have the potential to spread throughout the body and become lethal if ignored. Metastasis is the process by which invasive tumors move to neighboring lymph nodes or other organs. Metastasis can be lethal and perhaps fatal. The objective of our study was to elucidate the molecular mechanisms underlying the transition of Ductal Carcinoma In Situ (DCIS) to Invasive Ductal Carcinoma (IDC), with a particular focus on hub genes and potential therapeutic agents. Using Weighted Gene Co-expression Network Analysis (WGCNA), we built a comprehensive network combining clinical and phenotypic data from both DCIS and IDC. Modules within this network, correlated with specific phenotypic traits, were identified, and hub genes were identified as critical markers. Receiver Operating Characteristic (ROC) analysis assessed their potential as biomarkers, while survival curve analysis gauged their prognostic value. Furthermore, molecular docking predicted interactions with potential therapeutic agents. Ten hub genes-CDK1, KIF11, NUF2, ASPM, CDCA8, CENPF, DTL, EXO1, KIF2C, and ZWINT-emerged as pivotal fibroblast-specific genes potentially involved in the DCIS to IDC transition. These genes exhibited pronounced positive correlations with key pathways like the cell cycle and DNA repair, Molecular docking revealed Fisetin, an anti-inflammatory compound, effectively binding to both CDK1 and DTL underscoring their role in orchestrating cellular transformation. CDK1 and DTL were selected for molecular docking with CDK1 inhibitors, revealing effective binding of Fisetin, an anti-inflammatory compound, to both. Of the identified hub genes, DTL-an E3 ubiquitin ligase linked to the CRL4 complex-plays a central role in cancer progression, impacting tumor growth, invasion, and metastasis, as well as cell cycle regulation and epithelial-mesenchymal transition (EMT). CDK1, another hub gene, is pivotal in cell cycle progression and associated with various biological processes. In conclusion, our study offers insights into the complex mechanisms driving the transition from DCIS to IDC. It underscores the importance of hub genes and their potential interactions with therapeutic agents, particularly Fisetin. By shedding light on the interplay between CDK1 and DTL expression, our findings contribute to understanding the regulatory landscape of invasive ductal carcinoma and pave the way for future investigations and novel therapeutic avenues.

Indexed as

Breast NeoplasmsGene Expression Regulation, NeoplasticBiomarkers, TumorCarcinoma, Ductal, BreastCarcinoma, Intraductal, NoninfiltratingCell Line, TumorDisease ProgressionFemaleGene Expression ProfilingGene Regulatory NetworksGenomicsHumansMolecular Docking SimulationPrognosisBiomarkers, TumorBreast cancer progressionDiagnostic markersDuctal carcinoma in situ (DCIS)FisetinFunctional genomicsGene expressionInvasive ductal carcinoma (IDC)Therapeutic exploration

Identifiers

PMID39567714
PMCPMC11579425

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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 OpenQuestion graph.