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pmid:39574183

Exploiting potential molecular compounds for treating testicular seminoma by targeting immune related genes.

Yankang Cui · Xiaodie Zhou · Jing Zhang · Bo Fang · Jingping Ge · Hao Tang · Bianjiang Liu · Haowei He · Feng Xu · Xuejun Shang

Cell communication and signaling : CCS · 2024 doi:10.1186/s12964-024-01927-w

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Experiment

complete

Data

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Analysis

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Exploiting potential molecular compounds for treating testicular seminoma by targeting immune related genes.
doi
10.1186/s12964-024-01927-w
pmid
39574183
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Yankang Cui
[1]
Xiaodie Zhou
[2]
Jing Zhang
[3]
Bo Fang
[4]
Jingping Ge
[5]
Hao Tang
[6]
Bianjiang Liu
[7]
Haowei He
[8]
Feng Xu
[9]
Xuejun Shang
journal
Cell communication and signaling : CCS
year
2024
abstract
BACKGROUND: In cases of advanced seminoma, up to 30% of patients may manifest cisplatin resistance, necessitating aggressive salvage therapy, with a consequent 50% risk of mortality attributable to cancer. Nevertheless, beyond chemotherapy and radiotherapy, no further therapeutic modalities have been implemented for these patients. METHODS: The study commenced with the identification of differentially expressed immune-related genes, which were subsequently subjected to clustering using WGCNA. Prognostic signature construction ensued through the execution of univariable Cox regression, lasso regression, and multivariable Cox regression analyses. To validate the prognostic signature, the TCGA-TGCT and GSE99420 cohorts were employed, with assessments conducted via PFS, C-index, DCA, and ROC analyses. Subsequent exploration of the immune landscape and potential immunotherapeutic applications was undertaken through Cibersort and TIDE analyses. Molecular docking and dynamics simulation techniques were then employed for screening potential molecular compounds. Validation of these findings was pursued through in vitro and vivo assays. RESULTS: CTLA4, SNX17, and TMX1 were selected to construct the signature. Patients in the high-risk group exhibited diminished progression-free survival rates. The AUC for predicting survival at 1, 3, and 5 years was 0.802, 0.899, and 0.943, respectively, surpassing those of other risk factors, such as lymphovascular invasion and T stage. The C-index for the risk score was 0.838. Decision curve analysis (DCA) suggests that incorporating lymphovascular invasion and the risk score yields the most favorable decision-making outcomes for patients. Moreover, individuals classified as high-risk may derive greater benefit from immunotherapy. Molecular compounds including Rutin, ICG-001, and Doxorubicin can selectively target CTLA4, SNX17, and TMX1, respectively, thereby inhibiting the proliferation and invasive capabilities of seminoma tumor cells in vitro and vivo. CONCLUSION: The signature initially constructed based on immune-related genes shows promise for predicting outcomes and assessing the efficacy of immunotherapy in seminoma patients. Rutin, ICG-001, and Doxorubicin have demonstrated potential to target these signature genes and inhibit tumor cell viability.
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CTLA4, SNX17, and TMX1 were selected to construct a prognostic signature in which high-risk patients had diminished progression-free survival, and the signature predicted 1-, 3-, and 5-year survival with AUC values of 0.802, 0.899, and 0.943, respectively.
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CTLA4, SNX17, and TMX1 were selected to construct the signature. Patients in the high-risk group exhibited diminished progression-free survival rates. The AUC for predicting survival at 1, 3, and 5 years was 0.802, 0.899, and 0.943, respectively, surpassing those of other risk factors, such as lymphovascular invasion and T stage. The C-index for the risk score was 0.838.
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CTLA4, SNX17, and TMX1 were selected to construct a prognostic signature in which high-risk patients had diminished progression-free survival, and the signature predicted 1-, 3-, and 5-year survival with AUC values of 0.802, 0.899, and 0.943, respectively.
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Nevertheless, beyond chemotherapy and radiotherapy, no further therapeutic modalities have been implemented for these patients.\nMETHODS: The study commenced with the identification of differentially expressed immune-related genes, which were subsequently subjected to clustering using WGCNA. Prognostic signature construction ensued through the execution of univariable Cox regression, lasso regression, and multivariable Cox regression analyses. To validate the prognostic signature, the TCGA-TGCT and GSE99420 cohorts were employed, with assessments conducted via PFS, C-index, DCA, and ROC analyses. Subsequent exploration of the immune landscape and potential immunotherapeutic applications was undertaken through Cibersort and TIDE analyses. Molecular docking and dynamics simulation techniques were then employed for screening potential molecular compounds. Validation of these findings was pursued through in vitro and vivo assays.\nRESULTS: CTLA4, SNX17, and TMX1 were selected to construct the signature. Patients in the high-risk group exhibited diminished progression-free survival rates. The AUC for predicting survival at 1, 3, and 5 years was 0.802, 0.899, and 0.943, respectively, surpassing those of other risk factors, such as lymphovascular invasion and T stage. The C-index for the risk score was 0.838. Decision curve analysis (DCA) suggests that incorporating lymphovascular invasion and the risk score yields the most favorable decision-making outcomes for patients. Moreover, individuals classified as high-risk may derive greater benefit from immunotherapy. Molecular compounds including Rutin, ICG-001, and Doxorubicin can selectively target CTLA4, SNX17, and TMX1, respectively, thereby inhibiting the proliferation and invasive capabilities of seminoma tumor cells in vitro and vivo.\nCONCLUSION: The signature initially constructed based on immune-related genes shows promise for predicting outcomes and assessing the efficacy of immunotherapy in seminoma patients. 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