Proteomics and transcriptomics reveal molecular subtypes and biomarkers of advanced cutaneous T-cell lymphoma - Scorecard - MDSpire

Proteomics and transcriptomics reveal molecular subtypes and biomarkers of advanced cutaneous T-cell lymphoma

  • By

  • Shan Zhang

  • Zhengguang Guo

  • Zhaorui Liu

  • Zhiyu Pang

  • Feng Qi

  • Haidan Sun

  • Wei Sun

  • Jie Liu

  • July 15, 2026

Share

Clinical Scorecard: Molecular Subtypes and Biomarkers of Advanced Cutaneous T-Cell Lymphoma Identified Through Proteomic and Transcriptomic Analyses

At a Glance

CategoryDetail
ConditionAdvanced Cutaneous T-Cell Lymphoma
Key MechanismsMolecular subtypes identified through proteomic and transcriptomic analyses, including pathways such as PI3K-AKT-mTOR.
Target PopulationPatients with advanced-stage CTCL, particularly those with mycosis fungoides and Sézary syndrome.
Care SettingClinical 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.

Related Resources & Content

    Original Source(s)

    Related Content