Identifying Biomarkers and Therapeutic Targets by Multiomic Analysis for HNSCC: Precision Medicine and Healthcare Management

Kunhabdulla, Hafeeda1; Manas, Ram2; Shettihalli, Ashok Kumar2; Reddy, Ch. Ram Mohan3; Mustak, Mohammed S.4; Jetti, Raghu5; Abdulla, Riaz1; Sirigiri, Divijendranatha Reddy2; Ramdan, Deden6; Ammarullah, Muhammad Imam7,8,9

2024-03-07

10.1021/acsomega.3c07206

ACS OMEGA   影响因子和分区

2470-1343

Background: Head and neck squamous cell carcinoma (HNSCC) is one of the major types of cancer, with 900,000 cases and over 400,000 deaths annually. It constitutes 3-4% of all cancers in Europe and western countries. As early diagnosis is the key to treating the disease, reliable biomarkers play an important role in the precision medicine of HNSCC. Despite treatments, the survival rate of cancer patients remains unchanged, and this is mainly due to the failure to detect the disease early. Thus, the objective of this study is to identify reliable biomarkers for head and neck cancers for better healthcare management. Methods: In this study, all available, curated human genes were screened for their expression against HNSCC TCGA patient samples using genomic and proteomic data by various bioinformatic approaches and datamining. Docking studies were performed using AutoDock or online virtual screening tools for identifying potential ligands. Results: Sixty genes were short-listed, and most of them show a consistently higher expression in head and neck patient samples at both the mRNA and the protein level. Irrespective of human papillomavirus (HPV) status, all of them show a higher expression in cancer samples. The higher expression of 30 genes shows adverse effects on patient survival. Out of the 60 genes, 12 genes have crystal structures and druggable potential. We show that genes such as GTF2H4, HAUS7, MSN, and MNDA could be targets of Pembrolizumab and Nivolumab, which are approved monoclonal antibodies for HNSCC. Conclusion: Sixty genes are identified as potential biomarkers for head and neck cancers based on their consistent and statistically significantly higher expression in patient samples. Four proteins have been identified as potential drug targets based on their crystal structure. However, the utility of these candidate genes has to be further tested using patient samples.

SCI

英语

其他

Deanship of Scientific Research, King Khalid University[2/294/44]

Chemistry

Chemistry, Multidisciplinary

WOS:001181246000001

AMER CHEMICAL SOC

Web of Science

1.Yenepoya, Yenepoya Dent Coll, Dept Oral Pathol, Mangalore 575018, India
2.BMS Coll Engn, Dept Biotechnol, Bull Temple Rd, Bengaluru 560019, India
3.BMS Coll Engn, Dept Comp Applicat, Bull Temple Rd, Bengaluru 560019, India
4.Mangalore Univ, Dept Appl Zool, Mangalagangothri 574199, Karnataka, India
5.King Khalid Univ, Coll Appl Med Sci, Dept Basic Med Sci, Abha 61421, Saudi Arabia
6.Univ Pasundan, Fac Social Sci & Polit Sci, Dept Management Sci, Bandung 40261, West Java, Indonesia
7.Southern Univ Sci & Technol, Coll Engn, Dept Mech & Aerosp Engn, Shenzhen 518055, Guangdong, Peoples R China
8.Univ Diponegoro, UNDIP Biomech Engn & Res Ctr UBM ERC, Semarang 50275, Central Java, Indonesia
9.Univ Pasundan, Biomech & Biomed Engn Res Ctr, Bandung 40153, West Java, Indonesia

Kunhabdulla, Hafeeda,Manas, Ram,Shettihalli, Ashok Kumar,et al. Identifying Biomarkers and Therapeutic Targets by Multiomic Analysis for HNSCC: Precision Medicine and Healthcare Management[J]. ACS OMEGA,2024,9(11).

Kunhabdulla, Hafeeda.,Manas, Ram.,Shettihalli, Ashok Kumar.,Reddy, Ch. Ram Mohan.,Mustak, Mohammed S..,...&Ammarullah, Muhammad Imam.(2024).Identifying Biomarkers and Therapeutic Targets by Multiomic Analysis for HNSCC: Precision Medicine and Healthcare Management.ACS OMEGA,9(11).

Kunhabdulla, Hafeeda,et al."Identifying Biomarkers and Therapeutic Targets by Multiomic Analysis for HNSCC: Precision Medicine and Healthcare Management".ACS OMEGA 9.11(2024).