Proteomic approaches to assist in diagnosis and prognosis of oral cancer

Shaping the future of oral cancer diagnosis: advances in salivary proteomics

INTRODUCTION

Saliva has gained increasing attention in the quest for disease biomarkers. Because it is a biological fluid that can be collected is an easy, painless, and safe way, it has been increasingly studied for the identification of oral cancer biomarkers. This is particularly important because oral cancer is often diagnosed at late stages with a poor prognosis.

AREAS COVERED

The review addresses the evolution of the experimental approaches used in salivary proteomics studies of oral cancer over the years and outlines advantages and pitfalls related to each one. In addition, examines the current landscape of oral cancer biomarker discovery and translation focusing on salivary proteomic studies. This discussion is based on an extensive literature search (PubMed, Scopus and Google Scholar).

EXPERT OPINION

The introduction of mass spectrometry has revolutionized the study of salivary proteomics. In the future, the focus will be on refining existing methods and introducing powerful experimental techniques such as mass spectrometry with selected reaction monitoring, which, despite their effectiveness, are still underutilized due to their high cost. In addition, conducting studies with larger cohorts and establishing standardized protocols for salivary proteomics are key challenges that need to be addressed in the coming years.

Age-specific characteristics of head and neck second primary malignancies in patients treated for nasopharyngeal carcinoma: a retrospective study

This study was performed to analyse the age-specific characteristics of head and neck second primary malignancies (SPMs) in patients treated for nasopharyngeal carcinoma (NPC). The medical records of 56 NPC patients diagnosed with head and neck SPMs were reviewed retrospectively. Patients < 45 years old at NPC diagnosis were assigned to the younger group and those ≥ 45 years of age were assigned to the older group. The treatment of the index NPC, latency period, pathological TNM stage, survival status, and SPM subsite were analysed. Patients in the older group were found to have a shorter median latency period than those in the younger group: 8.5 years (range 3-20 years) versus 11 years (range 1-30 years) (P = 0.015). The proportion of SPMs in the jaw was significantly higher in the younger group (P = 0.002). Patients in the younger group receiving radiotherapy with chemotherapy had a shorter latency period (P = 0.003) and higher risk of developing SPMs in the jaw (P = 0.036) than those receiving radiotherapy alone. A long-term and age-dependent regular customised follow-up strategy for NPC is necessary for the prevention and early detection of head and neck second primary malignancies.

Intracellular delivery of therapeutic proteins. New advancements and future directions

Achieving the full potential of therapeutic proteins to access and target intracellular receptors will have enormous benefits in advancing human health and fighting disease. Existing strategies for intracellular protein delivery, such as chemical modification and nanocarrier-based protein delivery approaches, have shown promise but with limited efficiency and safety concerns. The development of more effective and versatile delivery tools is crucial for the safe and effective use of protein drugs. Nanosystems that can trigger endocytosis and endosomal disruption, or directly deliver proteins into the cytosol, are essential for successful therapeutic effects. This article aims to provide a brief overview of the current methods for intracellular protein delivery to mammalian cells, highlighting current challenges, new developments, and future research opportunities.

Comprehensive Characterization of Immune Landscape Based on Tumor Microenvironment for Oral Squamous Cell Carcinoma Prognosis

Objective: This study aims to identify an immune-related signature to predict clinical outcomes of oral squamous cell carcinoma (OSCC) patients. Methods: Gene transcriptome data of both tumor and normal tissues from OSCC and the corresponding clinical information were downloaded from The Cancer Genome Atlas (TCGA). Tumor Immune Estimation Resource algorithm (ESTIMATE) was used to calculate the immune/stromal-related scores. The immune/stromal scores and associated clinical characteristics of OSCC patients were evaluated. Univariate Cox proportional hazards regression analyses, least absolute shrinkage, and selection operator (LASSO) and receiver operating characteristic (ROC) curve analyses were performed to assess the prognostic prediction capacity. Gene Set Enrichment Analysis (GSEA) and Gene Ontology (GO) function annotation were used to analysis the functions of TME-related genes. Results: Eleven predictor genes were identified in the immune-related signature and overall survival (OS) in the high-risk group was significantly shorter than in the low-risk group. An ROC analysis showed the TME-related signature could predict the total OS of OSCC patients. Moreover, GSEA and GO function annotation proved that immunity and immune-related pathways were mainly enriched in the high-risk group. Conclusions: We identified an immune-related signature that was closely correlated with the prognosis and immune response of OSCC patients. This signature may have important implications for improving the clinical survival rate of OSCC patients and provide a potential strategy for cancer immunotherapy.

PLCE1 as a diagnostic and prognostic biomarker by promoting the growth and progression of oral squamous cell carcinoma

OBJECTIVE

This study aimed to explore the role of phospholipase C epsilon1 (PLCE1) in the growth and progression of oral squamous cell carcinoma (OSCC) and determine its potential as a biomarker with respect to diagnosis, prognosis and treatment of OSCC.

METHODS

The expression level of PLCE1 in tissue specimens was detected by immunohistochemistry (182 OSCC cases and 76 controls) and its relationship to clinicopathological parameters was analyzed. Then, the diagnostic value of PLCE1 in OSCC was verified by constructing the receiver operating characteristic (ROC) curve. Kaplan-Meier and Cox analysis were performed to investigate the role of PLCE1 in predicting the prognosis of OSCC patients. Furthermore, the effects of PLCE1 on the occurrence and development of OSCC were revealed by knocking down the level of PLCE1.

RESULTS

PLCE1 was mainly located in the cytoplasm of OSCC cells, and its level in OSCC tissues was obviously higher than in adjacent normal tissues. While the expression of PLCE1 did not correlate with clinicopathological parameters of OSCC. The area under the ROC curve (AUC) of PLCE1 was 0.865 with a sensitivity of 75.8% and a specificity of 78.8%. Besides, high expression of PLCE1 suggested a worse prognosis in OSCC patients than those with low expression. The knockdown of PLCE1 obviously inhibited proliferation, migration, and invasion of OSCC cells, and induce G0 cell cycle phase arrest and apoptosis, thus preventing the progression of OSCC.

CONCLUSION

PLCE1 may cause carcinogenesis and development of OSCC, which provide a novel possibility in diagnosis, prognosis and treatment of OSCC. This article is protected by copyright. All rights reserved.

Proteomic Analysis of Circulating Extracellular Vesicles Identifies Potential Biomarkers for Lymph Node Metastasis in Oral Tongue Squamous Cell Carcinoma

Lymph node metastasis is the most reliable indicator of a poor prognosis for patients with oral tongue cancers. Currently, there are no biomarkers to predict whether a cancer will spread in the future if it has not already spread at the time of diagnosis. The aim of this study was to quantitatively profile the proteomes of extracellular vesicles (EVs) isolated from blood samples taken from patients with oral tongue squamous cell carcinoma with and without lymph node involvement and non-cancer controls. EVs were enriched using size exclusion chromatography (SEC) from pooled plasma samples of patients with non-nodal and nodal oral tongue squamous cell carcinoma (OTSCC) and non-cancer controls. Protein cargo was quantitatively profiled using isobaric labelling (iTRAQ) and two-dimensional high-performance liquid chromatography followed by tandem mass spectrometry. We identified 208 EV associated proteins and, after filtering, generated a short list of 136 proteins. Over 85% of the EV-associated proteins were associated with the GO cellular compartment term "extracellular exosome". Comparisons between non-cancer controls and oral tongue squamous cell carcinoma with and without lymph node involvement revealed 43 unique candidate EV-associated proteins with deregulated expression patterns. The shortlisted EV associated proteins described here may be useful discriminatory biomarkers for differentiating OTSCC with and without nodal disease or non-cancer controls.