» Articles » PMID: 38912458

Identification of PATL1 As a Prognostic and Immunotherapeutic Predictive Factor for Nasal-type Natural Killer/T-cell Lymphoma and Head and Neck Squamous Cell Carcinoma

Overview
Journal Heliyon
Specialty Social Sciences
Date 2024 Jun 24
PMID 38912458
Authors
Affiliations
Soon will be listed here.
Abstract

This research examines the function of protein associated with topoisomerase II homolog 1 () in nasal-type natural killer/T-cell lymphoma (NKTCL) and head and neck squamous cell carcinoma (HNSCC). We analyzed bulk RNA-seq data from NKTCL, nasal polyps, and normal nasal mucosa, identifying 439 differentially expressed genes. Machine learning algorithms highlighted as a hub gene. exhibited significant upregulation in NKTCL and HNSCC tumor samples in comparison to normal tissues, showing high diagnostic accuracy (AUC = 1.000) for NKTCL. Further analysis of local hospital data identified as an independent prognostic risk factor for NKTCL. Data analysis of TCGA and GEO datasets revealed that high expression correlated with poorer prognosis in HNSCC patients ( < 0.05). We also constructed a -based nomogram, which emerged as an independent prognostic predictor for HNSCC after addressing missing values. Additionally, we found a strong correlation between and various immune cell infiltrates (e.g., activated.CD4 T cell), and a significant association with the expression of 37 immune checkpoints genes (e.g., , ) and 20 N6-methyladenosine-related genes (e.g., , ) (all  < 0.05). Both TCIA and TIDE algorithms suggested that could potentially predict immunotherapy efficacy ( < 0.05). Cellular experiments demonstrated that transfection with a silencing plasmid of significantly inhibited the malignant behaviors of SNK6 and FaDu cell lines( < 0.05). In conclusion, our findings suggest that may serve as a valuable prognostic and predictive biomarker in NKTCL and HNSCC, highlighting its significant role in these cancers.

Citing Articles

Human introns contain conserved tissue-specific cryptic poison exons.

Margasyuk S, Kuznetsova A, Zavileyskiy L, Vlasenok M, Skvortsov D, Pervouchine D NAR Genom Bioinform. 2024; 6(4):lqae163.

PMID: 39664813 PMC: 11632617. DOI: 10.1093/nargab/lqae163.

References
1.
Manley K, Dunning J, Nelson M, Bower M . HIV-associated gastric natural killer/T-cell lymphoma. Int J STD AIDS. 2012; 23(1):66-7. DOI: 10.1258/ijsa.2009.009121. View

2.
Zhou Y, Shi W, Zhao D, Xiao S, Wang K, Wang J . Identification of Immune-Associated Genes in Diagnosing Aortic Valve Calcification With Metabolic Syndrome by Integrated Bioinformatics Analysis and Machine Learning. Front Immunol. 2022; 13:937886. PMC: 9295723. DOI: 10.3389/fimmu.2022.937886. View

3.
Horwitz S, Ansell S, Ai W, Barnes J, Barta S, Choi M . NCCN Guidelines Insights: T-Cell Lymphomas, Version 2.2018. J Natl Compr Canc Netw. 2018; 16(2):123-135. DOI: 10.6004/jnccn.2018.0007. View

4.
Bi Q, Lian X, Shen J, Zhang F, Xu T . Exploration of radiotherapy strategy for brain metastasis patients with driver gene positivity in lung cancer. J Cancer. 2024; 15(7):1994-2002. PMC: 10905398. DOI: 10.7150/jca.91875. View

5.
Au W, Pang A, Choy C, Chim C, Kwong Y . Quantification of circulating Epstein-Barr virus (EBV) DNA in the diagnosis and monitoring of natural killer cell and EBV-positive lymphomas in immunocompetent patients. Blood. 2004; 104(1):243-9. DOI: 10.1182/blood-2003-12-4197. View