Predictive and clinicopathological importance of HMGB2 in various carcinomas: a meta and bioinformatic approach
Abstract Background: High mobility group box 2 (HMGB2), one of the HMGB domain proteins, may play a significant role in cancer development and progression. Recent scientific investigations have hinted at the potential clinical relevance of HMGB2, particularly in cancer patients where its expression...
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Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-95505-w |
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| author | Yinan Zhu Siyu He Ziyue Wang Haiyan Xi Wanchen Lu Xuyong Lin |
| author_facet | Yinan Zhu Siyu He Ziyue Wang Haiyan Xi Wanchen Lu Xuyong Lin |
| author_sort | Yinan Zhu |
| collection | DOAJ |
| description | Abstract Background: High mobility group box 2 (HMGB2), one of the HMGB domain proteins, may play a significant role in cancer development and progression. Recent scientific investigations have hinted at the potential clinical relevance of HMGB2, particularly in cancer patients where its expression levels have been observed to be elevated. However, the precise impact of HMGB2 on the prognosis of tumors remains an area of ongoing research. To the best of our understanding, our study represents a meta-analysis that elucidates a connection between HMGB2 expression and the clinical outcomes of diverse cancer types. Method: We executed a thorough and systematic search of literature across PubMed, Web of Science, Embase, CNKI, and Wanfang databases. Following this, we conducted a quantitative meta-analysis using statistical tools such as StataMP16 and RevMan5.3. The primary focus of our analysis was to assess the relationship between HMGB2 expression levels and overall survival (OS), disease-free survival (DFS), as well as various clinicopathological characteristics of cancer patients by calculating the hazard ratio (HR). Additionally, we validated our findings by examining HMGB2 expression patterns across different cancer types using the Gene Expression Profiling Interactive Analysis (GEPIA) online platform. Result: Our meta-analysis incorporated data from 17 studies, encompassing a total of 2555 cancer patients. The results revealed a statistically significant association between high HMGB2 expression and shorter OS (HR, 1.40 ;95% CI: 1.10–1.70; P < 0.001), especially in digestive cancer ( HR, 2.09 (95% CI: 1.54–2.63; I2 = 0.0%,P = 0.424). Furthermore, GEPIA analysis demonstrated a consistent upregulation of HMGB2 in most cancer types, with a downregulation between HMGB2 and LAML. Conclusion: Our findings underscore a detrimental correlation between the upregulation of HMGB2 and the prognosis of various cancers. This discovery could pave the way for the development of innovative prognostic biomarkers and therapeutic targets that specifically target HMGB2, offering new avenues for the management and treatment of cancer patients. |
| format | Article |
| id | doaj-art-33ad14becd004bf0923e13a38fb34935 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-33ad14becd004bf0923e13a38fb349352025-08-20T01:56:01ZengNature PortfolioScientific Reports2045-23222025-03-0115111510.1038/s41598-025-95505-wPredictive and clinicopathological importance of HMGB2 in various carcinomas: a meta and bioinformatic approachYinan Zhu0Siyu He1Ziyue Wang2Haiyan Xi3Wanchen Lu4Xuyong Lin5Department of Pathology, The First Hospital, College of Basic Medical Sciences, China Medical UniversityDepartment of Pathology, The First Hospital, College of Basic Medical Sciences, China Medical UniversityDepartment of Pathology, The First Hospital, College of Basic Medical Sciences, China Medical UniversityDepartment of Pathology, The First Hospital, College of Basic Medical Sciences, China Medical UniversityDepartment of Pathology, The First Hospital, College of Basic Medical Sciences, China Medical UniversityDepartment of Pathology, The First Hospital, College of Basic Medical Sciences, China Medical UniversityAbstract Background: High mobility group box 2 (HMGB2), one of the HMGB domain proteins, may play a significant role in cancer development and progression. Recent scientific investigations have hinted at the potential clinical relevance of HMGB2, particularly in cancer patients where its expression levels have been observed to be elevated. However, the precise impact of HMGB2 on the prognosis of tumors remains an area of ongoing research. To the best of our understanding, our study represents a meta-analysis that elucidates a connection between HMGB2 expression and the clinical outcomes of diverse cancer types. Method: We executed a thorough and systematic search of literature across PubMed, Web of Science, Embase, CNKI, and Wanfang databases. Following this, we conducted a quantitative meta-analysis using statistical tools such as StataMP16 and RevMan5.3. The primary focus of our analysis was to assess the relationship between HMGB2 expression levels and overall survival (OS), disease-free survival (DFS), as well as various clinicopathological characteristics of cancer patients by calculating the hazard ratio (HR). Additionally, we validated our findings by examining HMGB2 expression patterns across different cancer types using the Gene Expression Profiling Interactive Analysis (GEPIA) online platform. Result: Our meta-analysis incorporated data from 17 studies, encompassing a total of 2555 cancer patients. The results revealed a statistically significant association between high HMGB2 expression and shorter OS (HR, 1.40 ;95% CI: 1.10–1.70; P < 0.001), especially in digestive cancer ( HR, 2.09 (95% CI: 1.54–2.63; I2 = 0.0%,P = 0.424). Furthermore, GEPIA analysis demonstrated a consistent upregulation of HMGB2 in most cancer types, with a downregulation between HMGB2 and LAML. Conclusion: Our findings underscore a detrimental correlation between the upregulation of HMGB2 and the prognosis of various cancers. This discovery could pave the way for the development of innovative prognostic biomarkers and therapeutic targets that specifically target HMGB2, offering new avenues for the management and treatment of cancer patients.https://doi.org/10.1038/s41598-025-95505-w |
| spellingShingle | Yinan Zhu Siyu He Ziyue Wang Haiyan Xi Wanchen Lu Xuyong Lin Predictive and clinicopathological importance of HMGB2 in various carcinomas: a meta and bioinformatic approach Scientific Reports |
| title | Predictive and clinicopathological importance of HMGB2 in various carcinomas: a meta and bioinformatic approach |
| title_full | Predictive and clinicopathological importance of HMGB2 in various carcinomas: a meta and bioinformatic approach |
| title_fullStr | Predictive and clinicopathological importance of HMGB2 in various carcinomas: a meta and bioinformatic approach |
| title_full_unstemmed | Predictive and clinicopathological importance of HMGB2 in various carcinomas: a meta and bioinformatic approach |
| title_short | Predictive and clinicopathological importance of HMGB2 in various carcinomas: a meta and bioinformatic approach |
| title_sort | predictive and clinicopathological importance of hmgb2 in various carcinomas a meta and bioinformatic approach |
| url | https://doi.org/10.1038/s41598-025-95505-w |
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