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Comprehensive multiomics and in silico approach uncovers prognostic, immunological, and therapeutic roles of ANLN in lung adenocarcinoma

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A Correction to this article was published on 13 July 2023

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Abstract

The anillin actin-binding protein (ANLN) is immensely overexpressed in cancers, including lung cancer (LC). Phytocompounds have gained interest due to their broader potential and reduced unwanted effects. Screening numerous compounds presents a challenge, but in silico molecular docking is pragmatic. The present study aims to identify the role of ANLN in lung adenocarcinoma (LUAD), along with identification and interaction analysis of anticancer and ANLN inhibitory phytocompounds followed by molecular dynamics (MD) simulation. Using a systematic approach, we found that ANLN is significantly overexpressed in LUAD and mutated with a frequency of 3.73%. It is linked with advanced stages, clinicopathological parameters, worsening of relapse-free survival (RFS), and overall survival (OS), pinpointing its oncogenic and prognostic potential. High-throughput screening and molecular docking of phytocompounds revealed that kaempferol (flavonoid aglycone) interacts strongly with the active site of ANLN protein via hydrogen bonds, Vander Waals interactions, and acts as a potent inhibitor. Furthermore, we discovered that ANLN expression was found to be significantly higher (p) in LC cells compared to normal cells. This is a propitious and first study to demonstrate ANLN and kaempferol interactions, which might eventually lead to removal of rout from cell cycle regulation posed by ANLN overexpression and allow it to resume normal processes of proliferation. Overall, this approach suggested a plausible biomarker role of ANLN and the combination of molecular docking subsequently led to the identification of contemporary phytocompounds, bearing symbolic anticancer effects. The findings would be advantageous for pharmaceutics but require validation using in vitro and in vivo methods.

Highlights

ANLN is significantly overexpressed in LUAD.

ANLN is implicated in the infiltration of TAMs and altering plasticity of TME.

• Kaempferol (potential ANLN inhibitor) shows important interactions with ANLN which could remove the alterations in cell cycle regulation, imposed by ANLN overexpression eventually leading to normal process of cell proliferation.

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Data availability

No data was used for the research described in the article.

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Abbreviations

LC:

Lung cancer

NSCLC:

Non-small cell lung cancer

LUAD:

Lung adenocarcinoma

mRNA:

Messenger RNA

NCBI:

National Center for Biotechnology Information

ANLN:

Anillin

DEGs:

Differentially expressed genes

OS:

Overall survival

KM:

Kaplan-Meier

LUSC:

Lung squamous cell carcinoma

RhoA:

Ras homolog family member A

APC/C:

Anaphase-promoting complex/cyclosome

BLCA:

Bladder urothelial carcinoma

ATC:

Anaplastic thyroid carcinoma

NPC:

Nasopharyngeal carcinoma

RCC:

Renal cell carcinoma

RFS:

Recurrence-free survival

TME:

Tumor microenvironment

MD:

Molecular dynamics

GEPIA:

Gene expression profiling interactive analysis

GO:

Gene ontology

BP:

Biological process

MF:

Molecular function

CC:

Cellular compartment

TCGA:

The Cancer Genome Atlas

TIMER:

Tumor immune estimation resource

3D:

Three-dimensional

RCSB PDB:

Research Collaboratory for Structural Bioinformatics Protein Data Bank

ADME:

Absorption distribution metabolism and excretion

DS:

Discovery Studio

2D:

Two-dimensional

GAFF:

General amber force field

RMSD:

Root mean square deviation

RMSF:

Root mean square fluctuation

MM/PBSA:

Molecular mechanics/Poisson-Boltzmann surface area

DMEM:

Dulbecco’s Modified Eagle Medium

FBS:

Fetal bovine serum

cDNA:

Complementary DNA

PCR:

Polymerase chain reaction

qRT-PCR:

Real-time quantitative reverse transcription PCR

HPA:

Human Protein Atlas

COAD:

Colon adenocarcinoma

BRCA:

Breast invasive carcinoma

STAD:

Stomach adenocarcinoma

CESC:

Cervical squamous cell carcinoma and endocervical adenocarcinoma

DLBC:

Lymphoid neoplasm diffuse large B cell lymphoma

ESCA:

Esophageal carcinoma

OV:

Ovarian serous cystadenocarcinoma

PAAD:

Pancreatic adenocarcinoma

READ:

Rectum adenocarcinoma

THYM:

Thymoma

UCEC:

Uterine corpus endometrial carcinoma

UCS:

Uterine carcinosarcoma

KIF23:

Kinesin family member 23

C16orf89:

Chromosome 16 open reading frame 89

PLK4:

Polo-like kinase 4

BTG2:

BTG anti-proliferation factor 2

TP53:

Tumor protein P53

NKT:

Natural killer T

SMILES:

Simplified molecular-input line-entry system

MW:

Molecular weight

H-bonds:

Hydrogen bonds

\({{{R}}}_{{g}}\) :

Radius of gyration

GAP:

GTPase-activating protein

GEF:

Rho guanine nucleotide exchange factor

KIF4A:

Kinesin family member 4A

TPX2:

TPX2 microtubule nucleation factor

DLGAP5:

DLG-associated protein 5

GKAP:

Guanylate-kinase-associated protein

TAMs:

Tumor-associated macrophages

PME:

Particle-mesh Ewald algorithm

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Acknowledgements

We would like to thank Jamia Millia Islamia, University of Lucknow, ICGEB, AIIMS for providing infrastructure, internet facility, and journal access. Prithvi Singh would like to thank the Indian Council of Medical Research (ICMR), Government of India, for awarding him a Senior Research Fellowship [Grant Number: BMI/11(89)/2020].

Funding

This research was funded by the ICMR Extramural grant awarded to Mansoor Ali Syed (Grant no: 5/30/59/2020/NCD3).

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Authors and Affiliations

Authors

Contributions

Prithvi Singh: Conceptualization, Methodology, Software, Formal analysis, Investigation, Visualization, Data curation, Writing—Original Draft, Writing—Review and Editing. Shweta Arora: Formal analysis, Data curation, Writing-Original Draft, Writing—Review and Editing. Md Amjad Beg: Methodology, Software, Data curation, Writing-Original Draft, Writing-Review and Editing. Sibasis Sahoo: Methodology, Software, Data curation, Writing-Original Draft, Writing—Review and Editing. Arnab Nayek: Methodology, Software, Data curation, Writing-Original Draft, Writing—Review and Editing. Mohd Mabood Khan: Methodology, Software, Visualization, Validation, Investigation, Writing-Original Draft, Writing—Review and Editing. Anuradha Sinha: Methodology, Validation, Visualization, Writing—Original Draft, Writing—Review and Editing. Md. Zubbair Malik: Writing—Original Draft, Writing-Review and Editing. Fareeda Athar: Writing—Original Draft, Writing—Review and Editing. Mohammad Serajuddin: Writing-Original Draft, Writing—Review and Editing. Ravins Dohare: Writing—Review and Editing, Supervision, Project Administration. Mansoor Ali Syed: Resources, Writing—Review and Editing, Supervision, Project Administration. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Ravins Dohare or Mansoor Ali Syed.

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The original online version of this article was revised: Originally, the online published article contains an error. The two complete author names should be “Md Amjad Beg” and “Md. Zubbair Malik”. Md shoud be part of the author’s given name.

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Singh, P., Arora, S., Beg, M.A. et al. Comprehensive multiomics and in silico approach uncovers prognostic, immunological, and therapeutic roles of ANLN in lung adenocarcinoma. Funct Integr Genomics 23, 223 (2023). https://doi.org/10.1007/s10142-023-01144-7

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