Evidence map›Paper›PMID 38685671›Full record

ArticleJournal of cellular and molecular medicine2024

Decoding dynamic interactions between EGFR-TKD and DAC through computational and experimental approaches: A novel breakthrough in lung melanoma treatment.

Rajesh Kumar Meher, Showkat Ahmad Mir, Kritika Singh, Nobendu Mukerjee, Binata Nayak, Ajoy Kumer, Torki A Zughaibi, Mohd Shahnawaz Khan, Shams Tabrez

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

5 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

9 authors at 6 institutions in 4 countries.

Rajesh Kumar MeherSchool of Life Sciences, Sambalpur University, Burla, Odisha, India.
Showkat Ahmad MirSchool of Life Sciences, Sambalpur University, Burla, Odisha, India.
Kritika SinghOffenburg University of Applied Sciences, Offenburg, Germany.
Nobendu MukerjeeCenter for Global Health Research, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, India.
Binata NayakSchool of Life Sciences, Sambalpur University, Burla, Odisha, India.
Ajoy KumerDepartment of Chemistry, College of Arts and Sciences, IUBAT-International University of Business Agriculture and Technology, Dhaka, Bangladesh.ORCID 0000-0001-5136-6166
Torki A ZughaibiKing Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.
Mohd Shahnawaz KhanDepartment of Biochemistry, College of Science, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-4599-5924
Shams TabrezKing Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID 0000-0003-4550-415X
Sambalpur University · INKing Abdulaziz University · SAInternational University of Business Agriculture and Technology · BDKing Saud University · SAOffenburg University of Applied Sciences · DESaveetha University · IN

Funding

King Saud University
6 · The paper itself

Abstract

In the quest for effective lung cancer treatments, the potential of 3,6-diaminoacridine-9-carbonitrile (DAC) has emerged as a game changer. While DAC's efficacy against glioblastoma is well documented, its role in combating lung cancer has remained largely untapped. This study focuses on CTX-1, exploring its interaction with the pivotal EGFR-TKD protein, a crucial target in lung cancer therapeutics. A meticulous molecular docking analysis revealed that CTX-1 exhibits a noteworthy binding affinity of -7.9 kcal/mol, challenging Erlotinib, a conventional lung cancer medication, which displayed a binding affinity of -7.3 kcal/mol. For a deeper understanding of CTX-1's molecular mechanics, this study employed rigorous 100-ns molecular dynamics simulations, demonstrating CTX-1's remarkable stability in comparison with erlotinib. The Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) method further corroborated these results, with CTX-1 showing a free binding energy of -105.976 ± 1.916 kJ/mol. The true prowess of CTX-1 was tested against diverse lung cancer cell lines, including A549, Hop-62 and H-1299. CTX-1 not only significantly outperformed erlotinib in anticancer activity but also exhibited a spectrum of therapeutic effects. It effectively diminished cancer cell viability, induced DNA damage, halted cell cycle progression, generated reactive oxygen species (ROS), impaired mitochondrial transmembrane potential, instigated apoptosis and successfully inhibited EGFR-TKD. This study not only underscores the potential of CTX-1 a formidable contender in lung cancer treatment but also marks a paradigm shift in oncological therapeutics, offering new horizons in the fight against this formidable disease.

Indexed as

ErbB ReceptorsLung NeoplasmsMolecular Docking SimulationMolecular Dynamics SimulationAntineoplastic AgentsApoptosisCell Line, TumorCell ProliferationErlotinib HydrochlorideHumansMelanomaProtein BindingAntineoplastic AgentsEGFR protein, humanErbB ReceptorsErlotinib HydrochloridecancerCTX‐1EGFR‐TKDerlotiniblung cancerROS

Identifiers

PMID38685671
PMCPMC11058330
OpenAlexW4396517779

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.