Identification of potential molecular mechanisms and prognostic markers for oral squamous cell carcinoma: A bioinformatics analysis

Chujan, Suthipong; Kitkumthorn, Nakarin; Satayavivad, Jutamaad

doi:10.4103/jispcd.jispcd_15_23

Cited by 3 publications

(1 citation statement)

References 38 publications

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“…By analyzing molecular profiles of biosimilar candidates and reference molecules, bioinformatics can uncover similarities and differences that contribute to biosimilarity assessment [97]. Furthermore, bioinformatics aids in the identification of potential therapeutic targets by integrating data from various sources, including gene expression [98], protein-protein interactions [99], and pathway analysis [100].…”

Section: Data Mining and Bioinformaticsmentioning

confidence: 99%

Transforming Drug Design: Innovations in Computer-Aided Discovery for Biosimilar Agents

Askari,

Ghofrani,

Taherdoost

2023

BioMedInformatics

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In pharmaceutical research and development, pursuing novel therapeutics and optimizing existing drugs have been revolutionized by the fusion of cutting-edge technologies and computational methodologies. Over the past few decades, the field of drug design has undergone a remarkable transformation, catalyzed by the rapid advancement of computer-aided discovery techniques and the emergence of biosimilar agents. This dynamic interplay between scientific innovation and technological prowess has expedited the drug discovery process and paved the way for more targeted, effective, and personalized treatment approaches. This review investigates the transformative computer-aided discovery techniques for biosimilar agents in reshaping drug design. It examines how computational methods expedite drug candidate identification and explores the rise of cost-effective biosimilars as alternatives to biologics. Through this analysis, this study highlights the potential of these innovations to enhance the efficiency and accessibility of pharmaceutical development. It represents a pioneering effort to examine how computer-aided discovery is revolutionizing biosimilar agent development, exploring its applications, challenges, and prospects.

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Section: Data Mining and Bioinformaticsmentioning

confidence: 99%

Transforming Drug Design: Innovations in Computer-Aided Discovery for Biosimilar Agents

Askari,

Ghofrani,

Taherdoost

2023

BioMedInformatics

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SKA1 promotes oncogenic properties in oral dysplasia and oral squamous cell carcinoma, and augments resistance to radiotherapy

Grandits,

Reinoehl,

Wagner

et al. 2024

Molecular Oncology

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Oral squamous cell carcinoma (OSCC) is a malignancy associated with high morbidity and mortality, yet treatment options are limited. In addition to genetic alterations, aberrant gene expression contributes to the pathology of malignant diseases. In the present study, we identified 629 genes consistently dysregulated between OSCC and normal oral mucosa across nine public gene expression datasets. Among them, mitosis‐related genes were significantly enriched, including spindle and kinetochore‐associated complex subunit 1 (SKA1), whose roles in OSCC had been studied only to a very limited extent. We show that SKA1 promoted proliferation and colony formation in 2D and 3D, shortened the duration of metaphase, and increased the migration of OSCC cell lines. In addition, high SKA1 expression enhanced radioresistance, a previously unknown effect of this gene, which was accompanied by a reduction of radiation‐induced senescence. SKA1 was also upregulated in a subset of advanced oral premalignancies and promoted tumor‐relevant properties in a corresponding cell line. Gene expression patterns evoked by SKA1 overexpression confirmed that this gene is able to advance properties required for both early and advanced stages of tumorigenesis. In summary, our data show that SKA1 contributes to malignant progression in OSCC and may be a useful marker of radioresistance in this disease.

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TCGA-based analysis of oncogenic signaling pathways underlying oral squamous cell carcinoma

Gao,

Liu,

Liu

et al. 2024

Oncol Transl Med

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Background Oral squamous cell carcinoma (OSCC) represents a prevalent malignancy in the oral and maxillofacial area, having a considerable negative impact on both the quality of life and overall survival of affected individuals. Our research endeavors to leverage bioinformatic approaches to elucidate oncogenic signaling pathways, with the ultimate goal of gaining deeper insights into the molecular underpinnings of OSCC pathogenesis, and thus laying the groundwork for the development of more effective therapeutic and preventive strategies. Methods Differential expression analysis was performed on mRNA data from tumor and normal tissue groups to identify genes associated with OSCC, using The Cancer Genome Atlas database. Predictions of oncogenic signaling pathways linked to differentially expressed mRNAs were made, and these results were presented visually using R software, using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichments. Results GO and KEGG analyses of 2938 differentially expressed genes in OSCC highlighted their significant involvement in various biological processes. Notably, these processes were related to the extracellular matrix, structural organization, connective tissue development, and cell cycle regulation. Conclusions The comprehensive exploration of gene expression patterns provides valuable insights into potential oncogenic mechanisms in OSCC.

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Identification of potential molecular mechanisms and prognostic markers for oral squamous cell carcinoma: A bioinformatics analysis

Cited by 3 publications

References 38 publications

Transforming Drug Design: Innovations in Computer-Aided Discovery for Biosimilar Agents

Transforming Drug Design: Innovations in Computer-Aided Discovery for Biosimilar Agents

SKA1 promotes oncogenic properties in oral dysplasia and oral squamous cell carcinoma, and augments resistance to radiotherapy

TCGA-based analysis of oncogenic signaling pathways underlying oral squamous cell carcinoma

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