Image 2_A pyroptosis-related lncRNA risk model for the prediction of prognosis and immunotherapy response in head and neck squamous cell carcinoma.tif
Background<p>Recent research has highlighted pyroptosis as a key factor in cancer progression. This study aims to explore the association between pyroptosis-related signatures and overall survival (OS) in head and neck squamous cell carcinoma (HNSC) and develop a pyroptosis-related long non-co...
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2024
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| _version_ | 1852025264127606784 |
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| author | Jingyuan Ren (11645032) |
| author2 | Bingrui Yan (10205484) Xurui Wang (6893087) Yifei Wang (95207) Qiuying Li (565107) Yanan Sun (316649) |
| author2_role | author author author author author |
| author_facet | Jingyuan Ren (11645032) Bingrui Yan (10205484) Xurui Wang (6893087) Yifei Wang (95207) Qiuying Li (565107) Yanan Sun (316649) |
| author_role | author |
| dc.creator.none.fl_str_mv | Jingyuan Ren (11645032) Bingrui Yan (10205484) Xurui Wang (6893087) Yifei Wang (95207) Qiuying Li (565107) Yanan Sun (316649) |
| dc.date.none.fl_str_mv | 2024-11-12T05:01:39Z |
| dc.identifier.none.fl_str_mv | 10.3389/fonc.2024.1478895.s003 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Image_2_A_pyroptosis-related_lncRNA_risk_model_for_the_prediction_of_prognosis_and_immunotherapy_response_in_head_and_neck_squamous_cell_carcinoma_tif/27676887 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Oncology and Carcinogenesis not elsewhere classified head and neck squamous cell carcinoma pyroptosis lncRNA risk score model overall survival immunotherapy response |
| dc.title.none.fl_str_mv | Image 2_A pyroptosis-related lncRNA risk model for the prediction of prognosis and immunotherapy response in head and neck squamous cell carcinoma.tif |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | Background<p>Recent research has highlighted pyroptosis as a key factor in cancer progression. This study aims to explore the association between pyroptosis-related signatures and overall survival (OS) in head and neck squamous cell carcinoma (HNSC) and develop a pyroptosis-related long non-coding RNA (lncRNA) risk model to predict prognosis and response to immunotherapy in HNSC.</p>Methods<p>We extracted expression data for 18 pyroptosis-related genes and identified lncRNA probes specific to HNSC by using datasets from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Consensus clustering was performed to categorize HNSC patients into distinct subtypes. A six-lncRNA risk score model was constructed through univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses. We evaluated the predictive ability of the lncRNA model for patients’ survival and immunotherapy response. Gene expression was evaluated using immunohistochemistry (IHC) and Reverse Transcription Quantitative Polymerase Chain Reaction (RT-qPCR).</p>Results<p>Our analysis revealed two distinct pyroptosis-related subtypes in HNSC patients, Cluster A and Cluster B. Notably, patients in Cluster B exhibited significantly poorer overall survival compared to those in Cluster A. Through differential expression analysis, we identified six lncRNAs (AC002331.1, CTA-384D8.35, RP11-291B21.2, AC006262.5, RP1-27K12.2, and RP11-54H7.4) that were differentially expressed between these clusters. A 6-lncRNA risk score model was developed, which successfully stratified patients into high- and low-risk groups with distinct overall survival outcomes. Validation using RT-qPCR confirmed the differential expression of these six lncRNAs in HNSC tumor tissues compared to adjacent normal tissues, we found that the expression of CTA-384D8.35 was significantly increased in the tumor group (t=-6.203, P<0.001). Furthermore, the 6-lncRNA risk score model demonstrated a significant association with patient response to immunotherapy, with the low-risk group exhibiting a higher objective response rate to immune checkpoint blockade (ICB) therapy and longer survival compared to the high-risk group.</p>Conclusion<p>Our study underscores the role of pyroptosis signatures in HNSC prognosis and identifies two distinct pyroptosis subtypes with differing survival outcomes. The six-lncRNA risk score model offers a valuable tool for predicting patient prognosis and potential benefits from ICB therapy. These findings highlight the importance of pyroptosis and associated lncRNAs in the tumor microenvironment, paving the way for novel targeted therapies in HNSC.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_8bfb148ba49e3da56bfc7e279d3bc2bb |
| identifier_str_mv | 10.3389/fonc.2024.1478895.s003 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/27676887 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Image 2_A pyroptosis-related lncRNA risk model for the prediction of prognosis and immunotherapy response in head and neck squamous cell carcinoma.tifJingyuan Ren (11645032)Bingrui Yan (10205484)Xurui Wang (6893087)Yifei Wang (95207)Qiuying Li (565107)Yanan Sun (316649)Oncology and Carcinogenesis not elsewhere classifiedhead and neck squamous cell carcinomapyroptosislncRNA risk score modeloverall survivalimmunotherapy responseBackground<p>Recent research has highlighted pyroptosis as a key factor in cancer progression. This study aims to explore the association between pyroptosis-related signatures and overall survival (OS) in head and neck squamous cell carcinoma (HNSC) and develop a pyroptosis-related long non-coding RNA (lncRNA) risk model to predict prognosis and response to immunotherapy in HNSC.</p>Methods<p>We extracted expression data for 18 pyroptosis-related genes and identified lncRNA probes specific to HNSC by using datasets from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Consensus clustering was performed to categorize HNSC patients into distinct subtypes. A six-lncRNA risk score model was constructed through univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses. We evaluated the predictive ability of the lncRNA model for patients’ survival and immunotherapy response. Gene expression was evaluated using immunohistochemistry (IHC) and Reverse Transcription Quantitative Polymerase Chain Reaction (RT-qPCR).</p>Results<p>Our analysis revealed two distinct pyroptosis-related subtypes in HNSC patients, Cluster A and Cluster B. Notably, patients in Cluster B exhibited significantly poorer overall survival compared to those in Cluster A. Through differential expression analysis, we identified six lncRNAs (AC002331.1, CTA-384D8.35, RP11-291B21.2, AC006262.5, RP1-27K12.2, and RP11-54H7.4) that were differentially expressed between these clusters. A 6-lncRNA risk score model was developed, which successfully stratified patients into high- and low-risk groups with distinct overall survival outcomes. Validation using RT-qPCR confirmed the differential expression of these six lncRNAs in HNSC tumor tissues compared to adjacent normal tissues, we found that the expression of CTA-384D8.35 was significantly increased in the tumor group (t=-6.203, P<0.001). Furthermore, the 6-lncRNA risk score model demonstrated a significant association with patient response to immunotherapy, with the low-risk group exhibiting a higher objective response rate to immune checkpoint blockade (ICB) therapy and longer survival compared to the high-risk group.</p>Conclusion<p>Our study underscores the role of pyroptosis signatures in HNSC prognosis and identifies two distinct pyroptosis subtypes with differing survival outcomes. The six-lncRNA risk score model offers a valuable tool for predicting patient prognosis and potential benefits from ICB therapy. These findings highlight the importance of pyroptosis and associated lncRNAs in the tumor microenvironment, paving the way for novel targeted therapies in HNSC.</p>2024-11-12T05:01:39ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.3389/fonc.2024.1478895.s003https://figshare.com/articles/figure/Image_2_A_pyroptosis-related_lncRNA_risk_model_for_the_prediction_of_prognosis_and_immunotherapy_response_in_head_and_neck_squamous_cell_carcinoma_tif/27676887CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/276768872024-11-12T05:01:39Z |
| spellingShingle | Image 2_A pyroptosis-related lncRNA risk model for the prediction of prognosis and immunotherapy response in head and neck squamous cell carcinoma.tif Jingyuan Ren (11645032) Oncology and Carcinogenesis not elsewhere classified head and neck squamous cell carcinoma pyroptosis lncRNA risk score model overall survival immunotherapy response |
| status_str | publishedVersion |
| title | Image 2_A pyroptosis-related lncRNA risk model for the prediction of prognosis and immunotherapy response in head and neck squamous cell carcinoma.tif |
| title_full | Image 2_A pyroptosis-related lncRNA risk model for the prediction of prognosis and immunotherapy response in head and neck squamous cell carcinoma.tif |
| title_fullStr | Image 2_A pyroptosis-related lncRNA risk model for the prediction of prognosis and immunotherapy response in head and neck squamous cell carcinoma.tif |
| title_full_unstemmed | Image 2_A pyroptosis-related lncRNA risk model for the prediction of prognosis and immunotherapy response in head and neck squamous cell carcinoma.tif |
| title_short | Image 2_A pyroptosis-related lncRNA risk model for the prediction of prognosis and immunotherapy response in head and neck squamous cell carcinoma.tif |
| title_sort | Image 2_A pyroptosis-related lncRNA risk model for the prediction of prognosis and immunotherapy response in head and neck squamous cell carcinoma.tif |
| topic | Oncology and Carcinogenesis not elsewhere classified head and neck squamous cell carcinoma pyroptosis lncRNA risk score model overall survival immunotherapy response |