Bioinformatics Identification of SPAG5 as a Potential Prognostic Biomarker in Diffuse Large B-Cell Lymphoma.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
환자: elevated expression had poorer survival outcomes than those with low expression
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Our findings suggested could be a candidate prognostic marker and potential therapeutic target for DLBCL.
[BACKGROUND] Diffuse large B-cell lymphoma (DLBCL) is the most prevalent form of non-Hodgkin's lymphoma globally.
APA
Yan X, Liu L, et al. (2025). Bioinformatics Identification of SPAG5 as a Potential Prognostic Biomarker in Diffuse Large B-Cell Lymphoma.. Journal of blood medicine, 16, 523-536. https://doi.org/10.2147/JBM.S546793
MLA
Yan X, et al.. "Bioinformatics Identification of SPAG5 as a Potential Prognostic Biomarker in Diffuse Large B-Cell Lymphoma.." Journal of blood medicine, vol. 16, 2025, pp. 523-536.
PMID
41244957 ↗
Abstract 한글 요약
[BACKGROUND] Diffuse large B-cell lymphoma (DLBCL) is the most prevalent form of non-Hodgkin's lymphoma globally. , a mitotic spindle protein, plays a significant role in DLBCL, where its abnormal expression is often associated with tumor growth, chemotherapy resistance, local recurrence, and poor prognosis.
[METHODS] A comprehensive analysis of expression across various cancer types was conducted using Timer 2.0 and Sanger Box 3.0. Subsequently, the expression levels of in DLBCL were investigated in comparison to normal samples. Receiver operating characteristic (ROC) curve was then generated to evaluate the diagnostic performance of for DLBCL. Furthermore, the functional role of was characterized, and its impact on the immune microenvironment of DLBCL patients was analyzed. Its potential in predicting immune checkpoint status and responses to immunotherapy was also evaluated.
[RESULTS] expression demonstrated significant heterogeneity across various cancer types, with a marked upregulation in DLBCL. The diagnostic efficacy of was moderate, yielding an area under curve (AUC) of 0.75. SPAG5 exerted a multifaceted influence on DLBCL progression by regulating critical cellular processes, including cell cycle dynamics, chromosomal segregation, and DNA homeostasis. Notably, patients with elevated expression had poorer survival outcomes than those with low expression. Analysis of the tumor immune microenvironment revealed a distinct pattern: high expression correlated with increased infiltration of resting natural killer (NK) cells, while being associated with reduced presence of regulatory T cells (Tregs) and follicular helper T cells (Tfh).
[CONCLUSION] Our bioinformatics study elucidated the expression profile, diagnostic potential, and prognostic significance of in DLBCL, emphasizing the complex interplay between expression and the tumor immune landscape. Our findings suggested could be a candidate prognostic marker and potential therapeutic target for DLBCL.
[METHODS] A comprehensive analysis of expression across various cancer types was conducted using Timer 2.0 and Sanger Box 3.0. Subsequently, the expression levels of in DLBCL were investigated in comparison to normal samples. Receiver operating characteristic (ROC) curve was then generated to evaluate the diagnostic performance of for DLBCL. Furthermore, the functional role of was characterized, and its impact on the immune microenvironment of DLBCL patients was analyzed. Its potential in predicting immune checkpoint status and responses to immunotherapy was also evaluated.
[RESULTS] expression demonstrated significant heterogeneity across various cancer types, with a marked upregulation in DLBCL. The diagnostic efficacy of was moderate, yielding an area under curve (AUC) of 0.75. SPAG5 exerted a multifaceted influence on DLBCL progression by regulating critical cellular processes, including cell cycle dynamics, chromosomal segregation, and DNA homeostasis. Notably, patients with elevated expression had poorer survival outcomes than those with low expression. Analysis of the tumor immune microenvironment revealed a distinct pattern: high expression correlated with increased infiltration of resting natural killer (NK) cells, while being associated with reduced presence of regulatory T cells (Tregs) and follicular helper T cells (Tfh).
[CONCLUSION] Our bioinformatics study elucidated the expression profile, diagnostic potential, and prognostic significance of in DLBCL, emphasizing the complex interplay between expression and the tumor immune landscape. Our findings suggested could be a candidate prognostic marker and potential therapeutic target for DLBCL.
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