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pmid:40182754

Stemness-Relevant Gene Signature for Chemotherapeutic Response and Prognosis Prediction in Ovarian Cancer.

Stem cells international · 2025 doi:10.1155/sci/2505812

Paper

partial

Experiment

partial

Data

partial

Analysis

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Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:40182754
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title
Stemness-Relevant Gene Signature for Chemotherapeutic Response and Prognosis Prediction in Ovarian Cancer.
doi
10.1155/sci/2505812
pmid
40182754
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null
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Stem cells international
year
2025
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Correlation between risk score and clinicopathologic characteristics of ovarian cancer (OC) patients in Cancer Center cohort.
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Correlation between risk score and clinicopathologic characteristics of ovarian cancer (OC) patients in Cancer Center cohort.
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Clinicopathologic characteristics of OC patients in training and validation cohort.
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3.1. Development of a Prognostic SRG Signature
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Table 2
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Clinicopathologic characteristics of OC patients in training and validation cohort.
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minimax
A seven-gene stemness-related prognostic signature for ovarian cancer, with patients in the high stemness risk group showing poorer prognosis (p < 0.0001).
minimax_alt
Seven SRGs (actin-binding Rho activating C-terminal like (ABRACL), growth factor receptor bound protein 7 (GRB7), Lin-28 homolog B (LIN28B), lipolysis stimulated lipoprotein receptor (LSR), neuromedin U (NMU), Solute Carrier Family 4 Member 11 (SLC4A11), and thymocyte selection associated family member 2 (THEMIS2)) were found to have excellent predictive potential for patient survival.
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statistical_method object · 3 fields
minimax
Univariate Cox regression analysis and random survival forest analysis
minimax_alt
Univariate Cox regression analysis for identifying OS-related SRGs; multivariate Cox regression analysis and random survival forest analysis for generating the prognostic model.
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Complete file
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