Proteomics and transcriptomics reveal molecular subtypes and biomarkers of advanced cutaneous T-cell lymphoma
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By
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Shan Zhang
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Zhengguang Guo
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Zhaorui Liu
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Zhiyu Pang
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Feng Qi
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Haidan Sun
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Wei Sun
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Jie Liu
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July 15, 2026
Clinical Scorecard: Molecular Subtypes and Biomarkers of Advanced Cutaneous T-Cell Lymphoma Identified Through Proteomic and Transcriptomic Analyses
At a Glance
| Category | Detail |
| Condition | Advanced Cutaneous T-Cell Lymphoma |
| Key Mechanisms | Molecular subtypes identified through proteomic and transcriptomic analyses, including pathways such as PI3K-AKT-mTOR. |
| Target Population | Patients with advanced-stage CTCL, particularly those with mycosis fungoides and Sézary syndrome. |
| Care Setting | Clinical oncology and hematology |
Key Highlights
- Three molecular subtypes of advanced CTCL identified: intracellular signaling, metabolic, and extracellular matrix remodeling.
- PI3K-AKT-mTOR pathway upregulated in the intracellular signaling subtype.
- Potential biomarkers for treatment responsiveness include CTSB, GSTO1, and WDFY4.
- GOLGA1 and STIP1 identified as potential biomarkers for disease progression.
- Study highlights interpatient heterogeneity in treatment response and prognosis.
Guideline-Based Recommendations
Diagnosis
- Utilize proteomic and transcriptomic profiling for characterizing advanced CTCL.
Management
- Consider PI3K inhibitors for patients with upregulated phospho-AKT.
Monitoring & Follow-up
- Monitor expression levels of identified biomarkers for treatment response and progression.
Risks
- Advanced-stage CTCL poses significant challenges in clinical management due to variable treatment responses.
Patient & Prescribing Data
Patients with advanced-stage CTCL, particularly those with aggressive disease manifestations.
Therapeutic options include interferon, oral methotrexate, oral retinoids, histone deacetylase inhibitors, brentuximab vedotin, mogamulizumab, and PI3K inhibitors.
Clinical Best Practices
- Implement risk stratification based on treatment responsiveness and progression risk.
- Validate biomarkers in larger cohorts to enhance clinical decision-making.
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