ArticleFrontiers in oncology2024
The prognostic value of co-expression of stemness markers CD44 and CD133 in endometrial cancer.
Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A Metabolic-Epigenetic Axis of AARS1/IGF2BP3-K280 Lactylation Sustains Endometrial Cancer Stemness and Recurrence.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Advances in endometrial cancer screening: a comprehensive review of current methods and emerging technologies.International journal of clinical oncology · 2026Review
- The prognostic significance of JAML and its role in remodeling the immune microenvironment via the cGAS-STING pathway in endometrial cancer.Frontiers in immunology · 2026Article
- Gene Expression Profiling Identifies CAV1, CD44, and TFRC as Potential Diagnostic Markers and Therapeutic Targets for Multiple Myeloma.Cell biochemistry and biophysics · 2025Article
- Therapeutic and Prognostic Relevance of Cancer Stem Cell Populations in Endometrial Cancer: A Narrative Review.Diagnostics (Basel, Switzerland) · 2025Review
- Single-Cell Transcriptomic Analysis Highlights the Impact of NFKB2-Mediated MIF-CD44 Signaling Axis in Endometrioid Endometrial Cancer.International journal of women's health · 2025Article
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6 authors.
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Abstract
Objective: The purpose of this study was to investigate the correlation between stemness markers (CD44 and CD133) and clinical pathological features, and to further explore the prognostic value of co-expression of CD44 & CD133 in endometrial cancer (EC). Methods: Clinical data of stage I-III EC patients who underwent initial surgical treatment at two large tertiary medical centers from 2015 to 2020 were retrospectively collected. Cohen's kappa coefficient was used to show the consistency of the expression between CD44 and CD133. The correlation between co-expression of CD44 & CD133 and prognosis of EC patients was explored using univariate and multivariate Cox regression analysis. Then, the prognosis models for early-stage (stage I-II) EC patients were constructed. Finally, stratified analysis was performed for EC patients in high-intermediate-risk and high-risk groups, Kaplan-Meier analysis was used to compare the survival differences between patients with and without adjuvant therapy in different co-expression states (low expression, mixed expression, high expression) of CD44 & CD133. Results: A total of 1168 EC patients were included in this study. The consistency of the expression between CD44 and CD133 was 70.5%, the kappa coefficient was 0.384. High expression of CD44 & CD133 was associated with early FIGO stage (P=0.017), superficial myometrial invasion (P=0.017), and negative lymphatic vessel space invasion (P=0.017). Cox regression analysis showed that the co-expression of CD44 & CD133 was significantly correlated with the prognosis of early-stage (stage I-II) patients (P=0.001 for recurrence and P=0.005 for death). Based on this, the nomogram models were successfully constructed to predict the prognosis of early-stage EC patients. Meanwhile, Kaplan-Meier analysis showed that patients with adjuvant therapy had a better overall prognosis than those without adjuvant therapy in high-intermediate-risk and high-risk groups. However, there was no statistically significant difference in survival between patients with and without adjuvant therapy in high expression of CD44 & CD133 group (P=0.681 for recurrence, P=0.621 for death). Conclusion: High expression of CD44 & CD133 was closely related to the adverse prognosis of early-stage EC patients. Meanwhile, patients with high expression of CD44 & CD133 may not be able to achieve significant survival benefits from adjuvant therapy.
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