Predicting TNFRSF4 expression and prognosis in head and neck squamous cell carcinoma tissue: a pathological image analysis approach
Head and neck squamous cell carcinoma (HNSCC) exhibits a poor 5-year survival rate. TNFRSF4 is gaining attention in tumor therapy. The objective of this study was to forecast the expression of TNFRSF4 in HNSCC tissue using analysis of pathological images and investigate its possible molecular mechan...
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| Format: | Article |
| Language: | English |
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Termedia Publishing House
2024-12-01
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| Series: | Polish Journal of Pathology |
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| Online Access: | https://www.termedia.pl/Predicting-TNFRSF4-expression-and-prognosis-in-head-and-neck-squamous-cell-carcinoma-tissue-a-pathological-image-analysis-approach,55,55402,1,1.html |
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| author | Weiming Chu Chen Chu Zongmei Ding Wei Guan Shiyuan Li Jixin Jiang Yu Xue Jianping Qiu Aijun Guo |
| author_facet | Weiming Chu Chen Chu Zongmei Ding Wei Guan Shiyuan Li Jixin Jiang Yu Xue Jianping Qiu Aijun Guo |
| author_sort | Weiming Chu |
| collection | DOAJ |
| description | Head and neck squamous cell carcinoma (HNSCC) exhibits a poor 5-year survival rate. TNFRSF4 is gaining attention in tumor therapy. The objective of this study was to forecast the expression of TNFRSF4 in HNSCC tissue using analysis of pathological images and investigate its possible molecular mechanisms.
Transcriptome, clinical, and pathological data of HNSCC patients from the TCGA database were analyzed. Features were extracted with PyRadiomics for support vector machine model development. The evaluation of model performance was conducted using ROC curve, calibration curve, and decision curve analyses. The correlation between pathomics score (PS), patient prognosis, and immune- related genes was assessed.
TNFRSF4 expression was significantly higher in the tumor group and independently associated with HNSCC prognosis. Features were extracted to build a predictive model for TNFRSF4, which demonstrated strong performance. PS correlated positively with immune-related genes.
This research highlights the potential of TNFRSF4 as a prognostic factor and demonstrates the utility of PS in relation to immune-related genes. |
| format | Article |
| id | doaj-art-7183ea7f0c6f4dee88fac435099d0148 |
| institution | Kabale University |
| issn | 1233-9687 2084-9869 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Termedia Publishing House |
| record_format | Article |
| series | Polish Journal of Pathology |
| spelling | doaj-art-7183ea7f0c6f4dee88fac435099d01482025-01-27T11:36:31ZengTermedia Publishing HousePolish Journal of Pathology1233-96872084-98692024-12-0175428730410.5114/pjp.2024.14614755402Predicting TNFRSF4 expression and prognosis in head and neck squamous cell carcinoma tissue: a pathological image analysis approachWeiming ChuChen ChuZongmei DingWei GuanShiyuan LiJixin JiangYu XueJianping QiuAijun GuoHead and neck squamous cell carcinoma (HNSCC) exhibits a poor 5-year survival rate. TNFRSF4 is gaining attention in tumor therapy. The objective of this study was to forecast the expression of TNFRSF4 in HNSCC tissue using analysis of pathological images and investigate its possible molecular mechanisms. Transcriptome, clinical, and pathological data of HNSCC patients from the TCGA database were analyzed. Features were extracted with PyRadiomics for support vector machine model development. The evaluation of model performance was conducted using ROC curve, calibration curve, and decision curve analyses. The correlation between pathomics score (PS), patient prognosis, and immune- related genes was assessed. TNFRSF4 expression was significantly higher in the tumor group and independently associated with HNSCC prognosis. Features were extracted to build a predictive model for TNFRSF4, which demonstrated strong performance. PS correlated positively with immune-related genes. This research highlights the potential of TNFRSF4 as a prognostic factor and demonstrates the utility of PS in relation to immune-related genes.https://www.termedia.pl/Predicting-TNFRSF4-expression-and-prognosis-in-head-and-neck-squamous-cell-carcinoma-tissue-a-pathological-image-analysis-approach,55,55402,1,1.htmlmachine learning models pathomics tnfrsf4 hnscc prognosis |
| spellingShingle | Weiming Chu Chen Chu Zongmei Ding Wei Guan Shiyuan Li Jixin Jiang Yu Xue Jianping Qiu Aijun Guo Predicting TNFRSF4 expression and prognosis in head and neck squamous cell carcinoma tissue: a pathological image analysis approach Polish Journal of Pathology machine learning models pathomics tnfrsf4 hnscc prognosis |
| title | Predicting TNFRSF4 expression and prognosis in head and neck squamous cell carcinoma tissue: a pathological image analysis approach |
| title_full | Predicting TNFRSF4 expression and prognosis in head and neck squamous cell carcinoma tissue: a pathological image analysis approach |
| title_fullStr | Predicting TNFRSF4 expression and prognosis in head and neck squamous cell carcinoma tissue: a pathological image analysis approach |
| title_full_unstemmed | Predicting TNFRSF4 expression and prognosis in head and neck squamous cell carcinoma tissue: a pathological image analysis approach |
| title_short | Predicting TNFRSF4 expression and prognosis in head and neck squamous cell carcinoma tissue: a pathological image analysis approach |
| title_sort | predicting tnfrsf4 expression and prognosis in head and neck squamous cell carcinoma tissue a pathological image analysis approach |
| topic | machine learning models pathomics tnfrsf4 hnscc prognosis |
| url | https://www.termedia.pl/Predicting-TNFRSF4-expression-and-prognosis-in-head-and-neck-squamous-cell-carcinoma-tissue-a-pathological-image-analysis-approach,55,55402,1,1.html |
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