A MicroRNA Expression Signature as Prognostic Marker for Oropharyngeal Squamous Cell Carcinoma

Implication of circulating miRNAs as potential diagnostic biomarker in oropharyngeal squamous cell Carcinoma: Association with Human Papilloma Virus

BACKGROUND

Over the past decades, significant progress has been made in the early diagnosis and treatment of oropharyngeal squamous cell carcinoma (OPSCC). However, the survival rate has not improved. Human papillomavirus (HPV) is a major risk factor for the development of oropharyngeal cancer. Therefore, understanding the molecular mechanisms underlying OPSCC may help define improved diagnostic and prognostic strategies. Previous studies on tissue samples have linked microRNAs (miRNAs) to the progression of OPSCC. This study aimed to develop a panel of diagnostic biomarkers based on the serum miRNA signature in OPSCC that correlates with HPV status.

MATERIALS AND METHODS

Paired serum and tissue samples were collected from 30 OPSCC patients and 20 healthy controls. Based on previous studies on OPSCC tissue samples, a set of six miRNAs (miR-93, miR-222, miR-199, miR-320, miR-145, and miR-126) was selected due to their association with OPSCC development and progression. RT-qPCR was used to compare miRNA expression in paired samples, with miR-16 serving as the reference gene for normalization. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic potential of these serum miRNAs.

RESULTS

The mean relative fold change for serum miR-93 and miR-222 was upregulated, whereas miR-199, miR-320, miR-145, and miR-126 were downregulated in OPSCC compared to normal controls. A similar trend of upregulation and downregulation was observed in tissue samples. The mean relative expression of miR-93 was significantly associated with HPV status (p < 0.0001). Additionally, the mean relative expression levels of all six miRNAs (miR-93, miR-222, miR-199, miR-320, miR-145, and miR-126) were significantly different between the serum of normal controls and early-stage OPSCC patients. The serum miRNA panel, including miR-93, miR-222, miR-199, miR-320, miR-145, and miR-126, demonstrated significant diagnostic potential in distinguishing OPSCC from normal controls.

CONCLUSION

Our findings suggest that a panel of OPSCC-related miRNAs demonstrates concordant expression levels in serum and tissue of OPSCC, and may serve as a minimally invasive diagnostic biomarker for OPSCC. Further studies with a larger sample size are needed to confirm these findings, particularly in HPV-associated OPSCC.

Deep Learning Model of Primary Tumor and Metastatic Cervical Lymph Nodes From CT for Outcome Predictions in Oropharyngeal Cancer

Importance

Primary tumor (PT) and metastatic cervical lymph node (LN) characteristics are highly associated with oropharyngeal squamous cell carcinoma (OPSCC) prognosis. Currently, there is a lack of studies to combine imaging characteristics of both regions for predictions of p16+ OPSCC outcomes.

Objectives

To develop and validate a computed tomography (CT)-based deep learning classifier that integrates PT and LN features to predict outcomes in p16+ OPSCC and to identify patients with stage I disease who may derive added benefit associated with chemotherapy.

Design, Setting, and Participants

In this retrospective prognostic study, radiographic CT scans were analyzed of 811 patients with p16+ OPSCC treated with definitive radiotherapy or chemoradiotherapy from 3 independent cohorts. One cohort from the Cancer Imaging Archive (1998-2013) was used for model development and validation and the 2 remaining cohorts (2002-2015) were used to externally test the model performance. The Swin Transformer architecture was applied to fuse the features from both PT and LN into a multiregion imaging risk score (SwinScore) to predict survival outcomes across and within subpopulations at various stages. Data analysis was performed between February and July 2024.

Exposures

Definitive radiotherapy or chemoradiotherapy treatment for patients with p16+ OPSCC.

Main Outcomes and Measures

Hazard ratios (HRs), log-rank tests, concordance index (C index), and net benefit were used to evaluate the associations between multiregion imaging risk score and disease-free survival (DFS), overall survival (OS), and locoregional failure (LRF). Interaction tests were conducted to assess whether the association of chemotherapy with outcome significantly differs across dichotomized multiregion imaging risk score subgroups.

Results

The total patient cohort comprised 811 patients with p16+ OPSCC (median age, 59.0 years [IQR, 47.4-70.6 years]; 683 men [84.2%]). In the external test set, the multiregion imaging risk score was found to be prognostic of DFS (HR, 3.76 [95% CI, 1.99-7.10]; P < .001), OS (HR, 4.80 [95% CI, 2.22-10.40]; P < .001), and LRF (HR, 4.47 [95% CI, 1.43-14.00]; P = .01) among all patients with p16+ OPSCC. The multiregion imaging risk score, integrating both PT and LN information, demonstrated a higher C index (0.63) compared with models focusing solely on PT (0.61) or LN (0.58). Chemotherapy was associated with improved DFS only among patients with high scores (HR, 0.09 [95% CI, 0.02-0.47]; P = .004) but not those with low scores (HR, 0.83 [95% CI, 0.32-2.10]; P = .69).

Conclusions and Relevance

This prognostic study of p16+ OPSCC describes the development of a CT-based imaging risk score integrating PT and metastatic cervical LN features to predict recurrence risk and identify suitable candidates for treatment tailoring. This tool could optimize treatment modulations of p16+ OPSCC at a highly granular level.

MiR-363: A potential biomarker of kidney diseases

MicroRNAs (miRNAs), a class of endogenous small RNAs with lengths of approximately 19-24 nucleotides, play important regulatory roles in cells. In recent years, miR-363 has emerged as a prominent member of the miR-92a family, participating in various biological functions, including cellular proliferation, cycle, migration, and apoptosis. In particular, miR-363 plays a critical role in acute kidney injury, renal fibrosis, and diabetic nephropathy and can serve as a biomarker for the diagnosis of renal cell carcinoma. Ongoing research is exploring its potential as a biomarker of other kidney diseases. This review focuses on the role of miR-363 in kidney diseases, elucidating its regulatory mechanisms and exploring its possible value as a biomarker of kidney diseases.

Systematic review of prognostic models for predicting recurrence and survival in patients with treated oropharyngeal cancer

OBJECTIVES

This systematic review aims to evaluate externally validated models for individualised prediction of recurrence or survival in adults treated with curative intent for oropharyngeal cancer.

DESIGN

Systematic review.

SETTING

Hospital care.

METHODS

Systematic searches were conducted up to September 2023 and records were screened independently by at least two reviewers. The Prediction model Risk Of Bias ASsessment Tool was used to assess risk of bias (RoB). Model discrimination measures (c-indices) were presented in forest plots. Clinical and methodological heterogeneity precluded meta-analysis.

RESULTS

Fifteen studies developing and/or evaluating 25 individualised risk prediction models were included. The majority (77%) of c-indices for model developments and validations were ≥0.7 indicating 'good' discriminatory ability for models predicting overall survival. For disease-specific measures, most (73%) c-indices for model development were also ≥0.7, but fewer (40%) were ≥0.7 for external validations. Comparisons across models and outcome measures were hampered by heterogeneity. Only two studies directly compared models in the same cohort. Since all models were subject to a high RoB, primarily due to concerns with the analysis, the trustworthiness of the findings remains uncertain. Concerns included a lack of accounting for potentially missing data, model overfitting or competing risks as well as small event numbers. There were fewer concerns related to the participant, predictor and outcome domains, although reporting was not always detailed enough to make an informed decision. Where human papilloma virus (HPV) status and/or a radiomics score were included as a variable, models had better discriminative ability.

CONCLUSIONS

There were no models assessed as being at low RoB. Given that HPV status or a radiomics score appeared to improve model discriminative performance, further external validation of existing models to assess generalisability should focus on models that include HPV status as a variable. Development and validation of future models should be considered in HPV+ or HPV- cohorts separately to ensure representativeness.

PROSPERO REGISTRATION NUMBER

CRD42021248762.

Association of oropharyngeal cancer recurrence with tumor-intrinsic and immune-mediated sequelae of reduced genomic instability

Background

Limited understanding of the biology predisposing certain human papillomavirus-related (HPV+) oropharyngeal squamous cell carcinomas (OPSCCs) to relapse impedes therapeutic personalization. We aimed to identify molecular traits that distinguish recurrence-prone tumors.

Methods

50 HPV+ OPSCCs that later recurred (cases) and 50 non-recurrent controls matched for stage, therapy, and smoking history were RNA-sequenced. Groups were compared by gene set enrichment analysis, and select differences were validated by immunohistochemistry. Features discriminating groups were scored in each tumor using gene set variation analysis, and scores were evaluated for recurrence prediction ability.

Results

Cases downregulated pathways linked to anti-tumor immunity (FDR-adjusted p<.05) and contained fewer tumor-infiltrating lymphocytes (p<.001), including cytotoxic T-cells (p=.005). Cases also upregulated pathways related to cell division and other aspects of tumor progression. Upregulated and downregulated pathways were respectively used to define a tumor progression score (TPS) and immune suppression score (ISS) for each tumor. Correlation between TPS and ISS (r=.603, p<.001) was potentially explained by observed upregulation of DNA repair pathways in cases, which might enhance their progression directly and by limiting cytosolic DNA-induced inflammation. Accordingly, cases contained fewer double-strand breaks based on staining for phospho-RPA32 (p=.006) and γ-H2AX (p=.005) and downregulated pro-inflammatory components of the cytoplasmic DNA sensing pathway. A combined score derived from TPS and ISS optimized recurrence prediction and stratified survival in a manner generalizable to three external cohorts.

Conclusions

We provide novel evidence that limiting genomic instability makes tumor-intrinsic and immune-mediated contributions to HPV+ OPSCC recurrence risk, opening opportunities to detect and target this treatment-resistant biology.

Sex and human papillomavirus in oropharyngeal cancer: A systematic review and meta-analysis

INTRODUCTION

While the presence of human papillomavirus (HPV) is known to affect the outcomes of oropharyngeal squamous cell carcinoma (OPSCC), there is a significant gap in research regarding the potential sex-based differences. This systematic review-metanalysis (SR-MA) aims to evaluate if sex is a prognostic factor in HPV-associated OPSCC.

METHODS

A systematic review and meta-analysis was performed. COCHRANE Library, CINAHL, PubMed, and Scopus were searched for English-language articles from 1966 to October 2023. Studies with multivariable analysis of overall survival (OS) based on sex were included. Adjusted hazard ratios (aHRs) with a 95 % confidence interval (CI) were presented for the reported outcome. A meta-analysis of single means, proportions, and aHRs with a 95 % CI was conducted.

RESULTS

This SR-MA included 24 studies (n = 101,574). The proportion of female patients was 16.6 % [15.4 %-17.8 %]. A meta-analysis of all included studies with OS showed no significant difference in survival between male and female patients. In US-based studies, no significant difference in OS is observed between male and female patients. International studies reported a better OS for female patients (aHR = 0.68, 95 % CI, 0.48-0.95).

CONCLUSION

This meta-analysis suggests that sex does not represent a significant prognostic factor for patients affected by HPV associated OPSCC. When stratified by geographic location, findings suggests that female patients from the US with HPV OPSCC have similar OS than male patients but in international studies it suggests male patients have worse OS.

CLINICAL SIGNIFICANCE OF SALIVARY MIR-21, -155, AND -375 IN PATIENTS WITH SQUAMOUS CELL CARCINOMA OF ORAL CAVITY

BACKGROUND

The current prognostic markers in oral squamous cell carcinoma (OSCC) have limited accuracy sometimes leading to inappropriate treatment decisions. Identifying new markers would help clinicians tailor treatment plans based on the individual patient risk factors leading to improved survival rates and quality of life.

AIM

To estimate the value of the miRNA expression indicators in saliva as prognostic and predictive markers of the effectiveness of neoadjuvant chemotherapy (NACT).

MATERIALS AND METHODS

The work is based on the results of the examination and treatment of 61 patients with stage II-IV OSCC. The miR-21, miR-155, and miR-375 expression levels in the saliva samples were analyzed by the real-time reverse transcription polymerase chain reaction.

RESULTS

The salivary miR-21 and -155 expression levels in healthy volunteers were 2.49 and 2.84 times lower than in OSCС patients (p < 0.05). The positive association of miR-21 and miR-155 expression levels and the negative correlation of miR-375 expression level with T index by TNM (r = 0.68, r = 0.75, and r = -0.67, respectively) (p < 0.05) and the presence of lymph node metastasis (r = 0.78, r = 0.71, and r = ‒0.59, respectively) (p < 0.05) were found. Patients with good response to NACT had lower miR-21 and -155, and higher miR-375 levels in saliva compared to those with resistant tumors.

CONCLUSIONS

Our study suggests that salivary miR-21, miR-155, and miR-375 may be potential biomarkers for the prognosis of cancer course and the response to NACT in OSCC patients.

The Untapped Biomarker Potential of MicroRNAs for Health Risk-Benefit Analysis of Vaping vs. Smoking

Despite the popularity of electronic cigarettes (e-cigs) among adolescent never-smokers and adult smokers seeking a less pernicious substitute for tobacco cigarettes, the long-term health impact of vaping is largely unknown. Like cigarette smoke, e-cig vapor contains harmful and potentially harmful compounds, although in fewer numbers and at substantially lower concentrations. Many of the same constituents of e-cig vapor and cigarette smoke induce epigenetic changes that can lead to the dysregulation of disease-related genes. MicroRNAs (MiRNAs) are key regulators of gene expression in health and disease states. Extensive research has shown that miRNAs play a prominent role in the regulation of genes involved in the pathogenesis of smoking-related diseases. However, the use of miRNAs for investigating the disease-causing potential of vaping has not been fully explored. This review article provides an overview of e-cigs as a highly consequential electronic nicotine delivery system, describes trends in e-cig use among adolescents and adults, and discusses the ongoing debate on the public health impact of vaping. Highlighting the significance of miRNAs in cell biology and disease, it summarizes the published and ongoing research on miRNAs in relation to gene regulation and disease pathogenesis in e-cig users and in vitro experimental settings. It identifies gaps in knowledge and priorities for future research while underscoring the need for empirical evidence that can inform the regulation of tobacco products to protect youth and promote public health.

Potential Transcript-Based Biomarkers Predicting Clinical Outcomes of HPV-Positive Head and Neck Squamous Cell Carcinoma Patients

Human papillomavirus (HPV)-positive Head and Neck Squamous Cell Carcinomas (HNSCC) comprise a particular cancer entity traditionally associated with better clinical outcomes. Around 25% of HNSCC are HPV positive, HPV16 being the most prevalent type. Nevertheless, close to 30% of the HPV-positive patients have an unfavorable prognosis, revealing that this type of tumor exhibits great heterogeneity leading to different clinical behaviors. Efforts have been made to identify RNA molecules with prognostic value associated with the clinical outcome of patients with HPV-positive HNSCC, with the aim of identifying patients at high risk of metastasis, disease recurrence, and poor survival, who would require closer clinical follow-up and timely intervention. Moreover, the molecular identification of those HPV-positive HNSCC patients with good prognosis will allow the implementation of de-escalating therapeutic strategies, aiming to reduce side effects, resulting in a better quality of life. This review compiles a series of recent studies addressing different methodological and conceptual approaches aimed at searching for potential gene expression-based biomarkers associated with the prognosis of patients with HPV-positive HNSCC.

Identifying CTH and MAP1LC3B as ferroptosis biomarkers for prognostic indication in gastric cancer decoding

Gastric cancer (GC), known for its high incidence and poor prognosis, urgently necessitates the identification of reliable prognostic biomarkers to enhance patient outcomes. We scrutinized data from 375 GC patients alongside 32 non-cancer controls, sourced from the TCGA database. A univariate Cox Proportional Hazards Model (COX) regression was employed to evaluate expressions of ferroptosis-related genes. This was followed by the application of Least Absolute Shrinkage and Selection Operator (LASSO) and multivariate COX regression for the development of prognostic models. The composition of immune cell subtypes was quantified utilizing CIBERSORT, with their distribution in GC versus control samples being comparatively analyzed. Furthermore, the correlation between the expressions of Cystathionine Gamma-Lyase (CTH) and Microtubule Associated Protein 1 Light Chain 3 Beta (MAP1LC3B) and the abundance of immune cell subtypes was explored. Our bioinformatics findings underwent validation through immunohistochemical analysis. Our prognostic models integrated CTH and MAP1LC3B. Survival analysis indicated that patients categorized as high-risk, as defined by the model, exhibited significantly lower survival rates compared to their low-risk counterparts. Notably, CTH expression inversely correlated with monocyte levels, while MAP1LC3B expression showed an inverse relationship with the abundance of M2 macrophages. Immunohistochemical validation corroborated lower expressions of CTH and MAP1LC3B in GC tissues relative to control samples, in concordance with our bioinformatics predictions. Our study suggests that the dysregulation of CTH, MAP1LC3B, and the accompanying monocyte-macrophage dynamics could be pivotal in the prognosis of GC. These elements present potential targets for prognostic assessment and therapeutic intervention.

Ovarian carcinoma immune-related microRNA affects the heterogeneity of the endocrine microenvironment and anti-tumor immune pattern

BACKGROUND

The eighth-leading cause of cancer-related mortality and the seventh-most prevalent malignancy in women globally is ovarian cancer (OV). However, 5-year survival expectancy after conventional treatment is not good. Therefore, there is an urgent need for novel signatures to guide the designation of therapeutic schemes for OV patients.

METHODS

We used univariate Cox analysis to screen hormone secretion regulation axis-related microRNAs (miRNAs), least absolute shrinkage and selection operator analysis to select candidate miRNAs and multivariate Cox analysis to build the risk model. To evaluate possible route and functional differences, enrichment analysis using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed on the differentially expressed genes (DEGs) across various risk groups. We compared Tumor Immune Dysfunction and Exclusion (TIDE) scores across risk categories by analyzing immune cell infiltration, immune checkpoint gene expression, immunological function and TIDE scores. In the end, we determined the half maximal inhibitory concentration (IC50 ) of chemotherapy and targeted medicines for individual patients. Cell assays were determined to test the migration of the miRNA-target genes and western blotting was used to test the correlation of the miRNA-target genes and the pathways.

RESULTS

We finally identified hormone secretion regulation axis-related 13 microRNAs to build a risk model. The validation of observed and anticipated values revealed a fair level of agreement. To evaluate the molecular pathways between various groups in accordance with the GO and KEGG analyses, we then discovered 173 DEGs between distinct risk groups. The risk score was shown to be inversely related to the number of immune cells, including myeloid dendritic, granulocytes, M1 and M2 macrophages, B cells, t-lymphocytes, and CD4+ and CD8+ cells, suggesting that immune cells are more frequent in the low-risk group. Immune cell infiltration investigation yielded these results. Finally, we recognized 11 chemotherapeutic drugs and 30 novels targeted drugs on the basis of IC50 between the different risk groups. GJB5 was determined to be the mir-219 target gene and was identified as promoting the cell cycle process. In addition, hormone secretion regulation axis related miRNAs were reported to affects the heterogeneity of endocrine microenvironment and anti-tumor immune pattern.

CONCLUSIONS

In conclusion, a 13-miRNA prognostic model was constructed to know the immune status, prognosis, immunotherapeutic response and anti-tumor drug sensitivity for OV, which provides theoretical guidance for the effective and individualized treatment of OV patients.

Identification and verification of m6A-related miRNAs correlated with prognosis and immune microenvironment in colorectal cancer

It's well known that N6-methyladenosine (m6A) modification is the most abundant modification in multiple RNA species. miRNAs play important roles in m6A modification and are closely related with occurrence and development of colorectal cancer (CRC). Thus, the aim of this study was to identify the prognostic value of m6A-related miRNAs and explore the correlation between the miRNAs and immune microenvironment in CRC. The differentially expressed m6A regulators and differentially expressed miRNAs between CRC tissues and adjacent normal tissues were identified based on TCGA dataset, and the m6A-related miRNAs were screened. The CRC patients from TCGA were randomized (1:1) into training set and validation set, and the risk score was established in the training set. Next, risk score was verified in the validation set and GSE92928 from GEO datasets. Besides, the relationship among tumor mutational burden, immune microenvironment and risk score were analyzed. What's more, RT-qPCR were used to explore the expression levels of the miRNAs in risk score between SW480 and SW620. A total of 29 m6A-related miRNAs were screened out, and a 5-differentially expressed miRNAs risk score was established. Kaplan-Meier analysis and ROC curves revealed the risk score could predict the prognosis of CRC, accurately. Similarly, the patients in the high-risk group had shorter overall survival in GSE92928. The risk score was relevant with the tumor mutational burden and immune infiltration, and the expression of HAVCR2 was significant difference between 2 risk groups. The expression levels of miR-328-3p, miR-3934-5p, miR-664b-5p and miR-3677-3p were down-regulated in SW620 compared with SW480, only the expression level of miR-200c-5p was up-regulated in SW620. The findings provided the new insights into the correlation between miRNAs and m6A regulators. The m6A-related miRNAs could predict the prognosis of CRC and provide the valuable information of immunotherapy in CRC patients.

Overexpression of MiR-181c-5p Attenuates Human Umbilical Vascular Endothelial Cell Injury in Deep Vein Thrombosis by Targeting FOS

Deep venous thrombosis (DVT) is the third most common cardiovascular disease. Its clinical therapeutic effect is unsatisfactory due to the high rate of postthrombotic syndrome. Several studies have demonstrated the involvement of miRNAs in DVT. Therefore, we identified differentially expressed miRNAs in patients with DVT and explored their effects and underlying mechanism on endothelial cell (EC) injury.Differentially expressed miRNAs were identified via microRNA sequencing and verified using real-time quantitative PCR. The biological function of miR-181c-5p in human umbilical vein endothelial cell (HUVEC) injury stimulated by oxidized low-density lipoprotein (ox-LDL) was investigated. The target gene of miR-181c-5p was analyzed using bioinformatics and verified via dual-luciferase reporter assay.miRNA sequencing showed that miR-181c-5p was downregulated in the peripheral blood of patients with DVT. Furthermore, miR-181c-5p had a high clinical diagnostic value for DVT by receiver operating characteristic curve analysis. An in vitro cell model of EC injury, miR-181c-5p, was repressed in ox-LDL-treated HUVECs. Enhancing miR-181c-5p expression could alleviate the inhibition cell viability, cell apoptosis, raising ROS and MDA production, the reducing SOD level, and the elevated levels of thrombosis-related factor, ET-1 and vWF induced by ox-LDL. Further analysis revealed that FBJ osteosarcoma oncogene (FOS) is a target of miR-181c-5p and could antagonize the protective role of miR-181c-5p in ox-LDL-induced HUVEC injury.Our research demonstrated that miR-181c-5p could attenuate ox-LDL-induced EC injury and thrombosis-related factor expression by negatively regulating FOS. These findings suggest that the miR-181c-5p/FOS axis is a promising therapeutic target for DVT.

RNA-Based Liquid Biopsy in Head and Neck Cancer

Head and neck cancer (HNC) is a prevalent and diverse group of malignancies with substantial morbidity and mortality rates. Early detection and monitoring of HNC are crucial for improving patient outcomes. Liquid biopsy, a non-invasive diagnostic approach, has emerged as a promising tool for cancer detection and monitoring. In this article, we review the application of RNA-based liquid biopsy in HNC. Various types of RNA, including messenger RNA (mRNA), microRNA (miRNA), long non-coding RNA (lncRNA), small nuclear RNA (snRNA), small nucleolar RNA (snoRNA), circular RNA (circRNA) and PIWI-interacting RNA (piRNA), are explored as potential biomarkers in HNC liquid-based diagnostics. The roles of RNAs in HNC diagnosis, metastasis, tumor resistance to radio and chemotherapy, and overall prognosis are discussed. RNA-based liquid biopsy holds great promise for the early detection, prognosis, and personalized treatment of HNC. Further research and validation are necessary to translate these findings into clinical practice and improve patient outcomes.

HPV E6 regulates therapy responses in oropharyngeal cancer by repressing the PGC-1α/ERRα axis

Therapy with radiation plus cisplatin kills HPV+ oropharyngeal squamous cell carcinomas (OPSCCs) by increasing reactive oxygen species beyond cellular antioxidant capacity. To explore why these standard treatments fail for some patients, we evaluated whether the variation in HPV oncoprotein levels among HPV+ OPSCCs affects mitochondrial metabolism, a source of antioxidant capacity. In cell line and patient-derived xenograft models, levels of HPV full-length E6 (fl-E6) inversely correlated with oxidative phosphorylation, antioxidant capacity, and therapy resistance, and fl-E6 was the only HPV oncoprotein to display such correlations. Ectopically expressing fl-E6 in models with low baseline levels reduced mitochondrial mass, depleted antioxidant capacity, and sensitized to therapy. In this setting, fl-E6 repressed the peroxisome proliferator-activated receptor gamma co-activator 1α/estrogen-related receptor α (PGC-1α/ERRα) pathway for mitochondrial biogenesis by reducing p53-dependent PGC-1α transcription. Concordant observations were made in 3 clinical cohorts, where expression of mitochondrial components was higher in tumors of patients with reduced survival. These tumors contained the lowest fl-E6 levels, the highest p53 target gene expression, and an activated PGC-1α/ERRα pathway. Our findings demonstrate that E6 can potentiate treatment responses by depleting mitochondrial antioxidant capacity and provide evidence for low E6 negatively affecting patient survival. E6's interaction with the PGC-1α/ERRα axis has implications for predicting and targeting treatment resistance in OPSCC.

Promising Biomarkers in Head and Neck Cancer: The Most Clinically Important miRNAs

Head and neck cancers (HNCs) comprise a heterogeneous group of tumors that extend from the oral cavity to the upper gastrointestinal tract. The principal etiologic factors for oral tumors include tobacco smoking and alcohol consumption, while human papillomavirus (HPV) infections have been accused of a high incidence of pharyngeal tumors. Accordingly, HPV detection has been extensively used to categorize carcinomas of the head and neck. The diverse nature of HNC highlights the necessity for novel, sensitive, and precise biomarkers for the prompt diagnosis of the disease, its successful monitoring, and the timely prognosis of patient clinical outcomes. In this context, the identification of certain microRNAs (miRNAs) and/or the detection of alterations in their expression patterns, in a variety of somatic fluids and tissues, could serve as valuable biomarkers for precision oncology. In the present review, we summarize some of the most frequently studied miRNAs (including miR-21, -375, -99, -34a, -200, -31, -125a/b, -196a/b, -9, -181a, -155, -146a, -23a, -16, -29, and let-7), their role as biomarkers, and their implication in HNC pathogenesis. Moreover, we designate the potential of given miRNAs and miRNA signatures as novel diagnostic and prognostic tools for successful patient stratification. Finally, we discuss the currently ongoing clinical trials that aim to identify the diagnostic, prognostic, or therapeutic utility of miRNAs in HNC.

Identification of Critical miRNAs as Novel Diagnostic Markers for Laryngeal Squamous Cell Carcinoma

The prognosis of laryngeal squamous cell carcinoma (LSCC) patients remains poor, and early diagnosis can distinctly improve the long-term survival of LSCC patients. MicroRNAs (miRs) are a group of endogenous, noncoding, 18-24 nucleotide length single-strand RNAs and have been demonstrated to regulate the expression of many genes, thus modulating various cellular biological processes. In this study, we aimed to identify critical diagnostic miRNAs based on two machine learning algorithms. The GSE133632 dataset was acquired from the Gene Expression Omnibus (GEO) datasets, comprising LSCC tissular samples (57 specimens) and matched neighboring healthy mucosa tissular samples (57 specimens). Differentially expressed miRNAs (DEMs) were screened between 57 LSCC specimens and 57 normal specimens. The LASSO regression model and SVM-RFE analysis were carried out for the identification of critical miRNAs. ROC assays were applied to evaluate discriminatory ability. We identified 32 DEMs between LSCC specimens and normal specimens. Two machine learning algorithms confirmed that hsa-miR-615-3p, hsa-miR-4652-5p, hsa-miR-450a-5p, hsa-miR-196a-5p, hsa-miR-21-3p, hsa-miR-139-5p, and hsa-miR-424-5p were critical diagnostic factors. According to the ROC assays, seven miRNAs had an AUC value of >0.85 for LSCC. Taken together, our findings identified seven critical miRNAs in LSCC patients which can be used to diagnose LSCC patients with high sensitivity and specificity. These results must be verified by large-scale prospective studies.

Circadian rhythm-associated clinical relevance and Tumor Microenvironment of Non-small Cell Lung Cancer

Objective: We aimed to explore the prognostic implication for non-small cell lung cancer (NSCLC) based on the expression profiles of circadian clock-related genes (CCRGs), and describe the changes of immune infiltration and cell functions of related to the circadian rhythm.

Methods: Univariate and multivariate Cox proportional hazard regression were performed to determine a CCRGs risk-score significantly correlated with overall survival (OS) of the training set and validation set. GO, KEGG, and GSVA indicated discrepant changes in cellular processes and signaling pathways associated with these CCRGs. Immune cell infiltration and mutation rates were investigated by the online analysis platform and the algorithm provided by works of literature.

Results: The signature-based on ten-gene signatures could independently predict the OS both in TCGA lung adenocarcinoma (p < 0.001, HR: 1.228, 95% CI: 1.158 to 1.302) and lung squamous cell carcinoma (p < 0.001, HR: 2.501, 95% CI: 2.010 to 3.117), respectively. The circadian oscillations driven by CCRGs could disturb the metabolism and cellular functions of cancer cells. The infiltration level of critical cells in specific anti-tumor immunity process was suppressed apparently. In contrast, the infiltrating of inflammatory cells and immune cells with negative regulatory effects were promoted in the high-risk group. CCRGs were evolutionarily conserved with low mutation rates, which brought difficulties to explore therapeutic targets.

Conclusion: We identified and validated a circadian rhythm signature to described clinical relevance and tumor microenvironment of NSCLC, which revealed that circadian rhythms might play an influential role in the NSCLC.