HPV-Related Prognostic Signature Predicts Survival in Head and Neck Squamous Cell Carcinoma

Zhao, Hongyu; Wang, Fengxu; Wang, Xuehai; Zhao, Xinyuan; Ji, Jinfeng

doi:10.1155/2022/7357566

Cited by 3 publications

(5 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here, we established a new anoikis-related prognostic signature by identifying 18 ARGs with prognostic significance. Compared with 5 other signatures, [21–25] our model showed better predictive efficacy in predicting the prognosis of HNSCC patients. Moreover, we found that our model had potential ability to predict the sensitivity to chemotherapy and immunotherapy, which may suggest immunotherapeutic and chemotherapeutic strategies for patients with HNSCC.…”

Section: Discussionmentioning

confidence: 99%

“…[36] Researchers have identified some prognostic signatures for HNSCC in recent years. [21][22][23][24][25]37] However, to our knowledge, few have investigated the relationship between anoikis and HNSCC. Here, we established a new anoikis-related prognostic signature by identifying 18 ARGs with prognostic significance.…”

Section: Discussionmentioning

confidence: 99%

“…The "ggDCA" R software was used to analyze the decision curve. To determine whether our ARG signature had a superior predictive ability for HNSCC patients, 5 published prognostic signatures, Jiang signature, [21] Ming signature, [22] Yang signature, [23] Zhang signature, [24] and Zhao signature, [25] were compared with our signature according to parameters including time-dependent ROC, C-index, and restricted mean survival time (RMST). A nomogram was developed to predict the rate of OS based on grade, risk score, age, gender, and stage.…”

Section: The Prognostic Prediction Value Of Arg Signaturementioning

confidence: 99%

“…6D). Then, the ARG signature was compared with 5 previously published prognostic signatures [21][22][23][24][25] in the TCGA-HNSC cohort to determine whether our ARG signature had a superior predictive performance (see Figure S2, Supplemental Digital Content, http:// links.lww.com/MD/J568, which demonstrates the comparison of the ARG signature with other signatures). Although these 5 previously published prognostic signatures enabled creation of 2 subgroups with significantly different prognoses (Figure S2A-E), the ROC curve analysis and RMST results indicated that our ARG signature was superior.…”

Section: Prognostic Value Of Arg Signaturementioning

confidence: 99%

See 3 more Smart Citations

Identification of a new anoikis-related gene signature for prognostic significance in head and neck squamous carcinomas

Wei,

Zhou,

Shen

et al. 2023

Medicine

View full text Add to dashboard Cite

Anoikis, a mode of programmed cell death, is essential for normal development and homeostasis in the organism and plays an important role in the onset and progression of cancers. The authors of this research sought to establish a gene signature associated with anoikis to predict therapy outcomes and patient prognosis for individuals with head and neck squamous cell carcinoma (HNSCC). Transcriptome data of anoikis-related genes (ARGs) in individuals with HNSCC were retrieved from public databases to aid in the formulation of the gene signature. A novel ARG signature was then created using a combination of the Least Absolute Shrinkage and Selection Operator regression and Cox regression analysis. The relationship between ARGs and tumor immune microenvironment in HNSCC was explored using single-cell analysis. HNSCC individuals were classified into high-risk and low-risk groups as per the median value of risk score. The study also investigated the variations in the infiltration status of immune cells, tumor microenvironment, sensitivity to immunotherapy and chemotherapeutics, as well as functional enrichment between the low-risk and high-risk categories. A total of 18 ARGs were incorporated in the formulation of the signature. Our signature’s validity as a standalone predictive predictor was validated by multivariate Cox regression analysis and Kaplan–Meier survival analysis. Generally, the prognosis was worse for high-risk individuals. Subjects in the low-risk groups had a better prognosis and responded in a better way to combination immunotherapy, had higher immunological ratings and activity levels, and had more immune cell infiltration. In addition, gene set enrichment analysis findings showed that the low-risk subjects exhibited heightened activity in several immune-related pathways. However, the high-risk patients responded better to chemotherapy. The aim of this research was to develop a new ARG signature to predict the prognosis and sensitivity to immunotherapeutic and chemotherapeutic schemes for HNSCC patient. As a result, this could help spur the creation of new chemotherapeutics and immunotherapeutic approaches for patients with HNSCC.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: The Prognostic Prediction Value Of Arg Signaturementioning

confidence: 99%

Section: Prognostic Value Of Arg Signaturementioning

confidence: 99%

See 2 more Smart Citations

Identification of a new anoikis-related gene signature for prognostic significance in head and neck squamous carcinomas

Wei,

Zhou,

Shen

et al. 2023

Medicine

View full text Add to dashboard Cite

show abstract

“…The transcription factor DMRTA2 is involved in gonadal differentiation and CNS development taking part in determining cell fate decisions. The potential role of DMRTA2 as a prognostic marker was indicated in several non-CNS cancers as this gene appeared deregulated in gene expression [ 43 , 44 ] or DNA methylation-based signatures [ 45 , 46 ]. Tumor cell origin studies indicated glioblastoma originates from neural stem/progenitor cells.…”

Section: Discussionmentioning

confidence: 99%

DMRTA2 supports glioma stem-cell mediated neovascularization in glioblastoma

Maleszewska,

Wojnicki,

Mieczkowski

et al. 2024

Cell Death Dis

View full text Add to dashboard Cite

Glioblastoma (GBM) is the most common and lethal brain tumor in adults. Due to its fast proliferation, diffusive growth and therapy resistance survival times are less than two years for patients with IDH-wildtype GBM. GBM is noted for the considerable cellular heterogeneity, high stemness indices and abundance of the glioma stem-like cells known to support tumor progression, therapeutic resistance and recurrence. Doublesex- and mab-3–related transcription factor a2 (DMRTA2) is involved in maintaining neural progenitor cells (NPC) in the cell cycle and its overexpression suppresses NPC differentiation. Despite the reports showing that primary GBM originates from transformed neural stem/progenitors cells, the role of DMRTA2 in gliomagenesis has not been elucidated so far. Here we show the upregulation of DMRTA2 expression in malignant gliomas. Immunohistochemical staining showed the protein concentrated in small cells with high proliferative potential and cells localized around blood vessels, where it colocalizes with pericyte-specific markers. Knock-down of DMRTA2 in human glioma cells impairs proliferation but not viability of the cells, and affects the formation of the tumor spheres, as evidenced by strong decrease in the number and size of spheres in in vitro cultures. Moreover, the knockdown of DMRTA2 in glioma spheres affects the stabilization of the glioma stem-like cell-dependent tube formation in an in vitro angiogenesis assay. We conclude that DMRTA2 is a new player in gliomagenesis and tumor neovascularization and due to its high expression in malignant gliomas could be a biomarker and potential target for new therapeutic strategies in glioblastoma.

show abstract

Identification of a disulfidptosis-related lncRNA signature for the prognostic and immune landscape prediction in head and neck squamous cell carcinoma

Wei,

Zhou,

Fang

et al. 2024

Discov Onc

View full text Add to dashboard Cite

Purpose Disulfidptosis, a newly identified form of cell death, is triggered by disulfide stress. Herein, a unique signature was developed based on disulfidptosis-related lncRNAs (DRlncRNAs) for the prognostic and immune landscape prediction of head and neck squamous cell carcinoma (HNSCC). Methods Transcriptome, somatic mutation, and clinical data were acquired at The Cancer Genome Atlas database. Individuals were partitioned into training and test cohorts at a 1:1 ratio to facilitate the development of a DRlncRNA signature using the least absolute shrinkage and selection operation method. Based on the median risk score, all HNSCC individuals were stratified into the high-risk group (HRG) and low-risk group (LRG). Kaplan–Meier survival and time-dependent receiver operating characteristic (ROC) analyses were used to estimate the prognostic value, and a nomogram was generated for survival prediction. To provide a more comprehensive assessment, the tumor microenvironment, functional enrichment, immune cell infiltration, and immunotherapeutic sensitivity were explored between LRG and HRG. Results A DRlncRNA signature was established with 10 DRlncRNAs. The corresponding values of areas under the ROC curves for 1–, 3–, and 5–year overall survival were 0.710, 0.692, and 0.640. A more favorable prognosis was noted in the patients with lower risk, along with higher immune scores, increased immune-related functions, and immune cell infiltration, as well as improved response to the immunotherapeutic intervention in comparison with individuals at higher risk. Conclusion These findings demonstrate that the developed DRlncRNA signature holds promise as a reliable prognostic marker and predictor of immunotherapy response in HNSCC patients.

show abstract

HPV-Related Prognostic Signature Predicts Survival in Head and Neck Squamous Cell Carcinoma

Cited by 3 publications

References 31 publications

Identification of a new anoikis-related gene signature for prognostic significance in head and neck squamous carcinomas

Identification of a new anoikis-related gene signature for prognostic significance in head and neck squamous carcinomas

DMRTA2 supports glioma stem-cell mediated neovascularization in glioblastoma

Identification of a disulfidptosis-related lncRNA signature for the prognostic and immune landscape prediction in head and neck squamous cell carcinoma

Contact Info

Product

Resources

About