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pmid:36552804

RAC1, a Potential Diagnostic and Prognostic Marker for Diffuse Large B Cell Lymphoma.

Xue Wu · Yuan Li · Wandong Zhang · Jing Zhang · Baoan Chen · Zheng Ge

Cells · 2022 doi:10.3390/cells11244039

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

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RAC1, a Potential Diagnostic and Prognostic Marker for Diffuse Large B Cell Lymphoma.
doi
10.3390/cells11244039
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Xue Wu
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Yuan Li
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Wandong Zhang
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Jing Zhang
[4]
Baoan Chen
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Zheng Ge
journal
Cells
year
2022
abstract
The gene changes for diagnosis and prognosis of diffuse large B cell lymphoma (DLBCL) still remain unclear. RAC1 was reported to be asso;ciated with the B cell receptor signal pathway, but its relations with DLBCL have not yet been systematically explored. In this study, we have conducted molecular, bioinformatics and clinical analyses by using publicly available data from The Cancer Genome Atlas (TCGA). Wilcoxon signed-rank test and logistic regression were performed to evaluate the association between RAC1 and clinical features in patients. Kaplan-Meier and Cox regression methods were used to examine the impacts of RAC1 expression level on overall survival, and a nomogram was performed to illustrate the correlation between RAC1 and the risk of DLBCL. Our results revealed that the expression level of RAC1 in DLBCL was higher than that in normal tissues or lymphadenitis. High-level expression of RAC1 was significantly associated with clinical stage, as well as being an independent factor affecting overall survival. RAC1 was negatively correlated with Bruton's tyrosine kinase (BTK). The association between RAC1 gene expression and the risk of DLBCL was presented in a nomogram. In conclusion, RAC1 expression patterns may be used to predict the development and prognosis of DLBCL.
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A receiver operating characteristic (ROC) curve was applied to assess the specificity and sensitivity of the Rho/Rac family genes’ predictive accuracy, with the area under the ROC curve (AUC) used as the diagnostic value based on the “pROC” package in statistical software (version 3.6.3).
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sections[4] "2.2. Diagnostic Analysis" paragraph 2
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A receiver operating characteristic (ROC) curve was applied to assess the specificity and sensitivity of the Rho/Rac family genes’ predictive accuracy, with the area under the ROC curve (AUC) used as the diagnostic value based on the “pROC” package in statistical software (version 3.6.3).
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RAC1 expression showed diagnostic and prognostic value in DLBCL, with an ROC AUC of 0.877 and high expression associated with better overall survival (HR = 0.2, 95% CI: 0.05–0.84, p = 0.008).
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Our analysis revealed that high mRNA expressions of RAC1 (HR = 0.2, 95% CI: 0.05–0.84, p = 0.008) (Figure 3A) and RND1 (hazard ratio [HR] = 0.25, 95% confidence interval [CI]: 0.04–1.45, p = 0.022) (Figure 3C) were significantly associated with a better prognosis of OS.
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sections[11] "3.2. Diagnostic Value of the Rho/Rac Family Members in DLBCL" paragraph 2
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In predicting the outcomes of normal or tumor tissues, the predictability of the RND/RAC/CDC42 subfamily genes such as RND3 (AUC = 0.968), RHOD (AUC = 0.936), RND2 (AUC = 0.869), RND1 (AUC = 0.840), RHOF (AUC = 0.837), RAC1 (AUC = 0.877), RAC3 (AUC = 0.869), RHOJ (AUC = 0.989) showed a high accuracy, while the RHO subfamily genes such as RHOA (AUC = 0.652), RHOB (AUC = 0.640), RHOC (AUC = 0.666) showed a lower accuracy (Figure 2) (Table S2).
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Our analysis revealed that high mRNA expressions of RAC1 (HR = 0.2, 95% CI: 0.05–0.84, p = 0.008) (Figure 3A) and RND1 (hazard ratio [HR] = 0.25, 95% confidence interval [CI]: 0.04–1.45, p = 0.022) (Figure 3C) were significantly associated with a better prognosis of OS.
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RAC1 expression showed diagnostic and prognostic value in DLBCL, with an ROC AUC of 0.877 and high expression associated with better overall survival (HR = 0.2, 95% CI: 0.05–0.84, p = 0.008).
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Diagnostic Value of the Rho/Rac Family Members in DLBCL\" paragraph 2", "quote": "In predicting the outcomes of normal or tumor tissues, the predictability of the RND/RAC/CDC42 subfamily genes such as RND3 (AUC = 0.968), RHOD (AUC = 0.936), RND2 (AUC = 0.869), RND1 (AUC = 0.840), RHOF (AUC = 0.837), RAC1 (AUC = 0.877), RAC3 (AUC = 0.869), RHOJ (AUC = 0.989) showed a high accuracy, while the RHO subfamily genes such as RHOA (AUC = 0.652), RHOB (AUC = 0.640), RHOC (AUC = 0.666) showed a lower accuracy (Figure 2) (Table S2)."}, {"asset": "source:pmid:36552804", "locator": "sections[12] \"3.3. 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