Selpercatinib versus multi-kinase inhibitors for advanced medullary thyroid cancer: A network meta-analysis of RET-targeted therapies - Scorecard - MDSpire

Selpercatinib versus multi-kinase inhibitors for advanced medullary thyroid cancer: A network meta-analysis of RET-targeted therapies

  • By

  • Jiazhong Wang

  • Gang Cao

  • Yang Liu

  • Hao Qiao

  • Qiao He

  • Bo Zheng

  • June 22, 2026

  • 0 min

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Clinical Scorecard: Comparative Efficacy of Selpercatinib and Multi-Kinase Inhibitors in Advanced Medullary Thyroid Cancer: A Network Meta-Analysis of RET Inhibitors

At a Glance

CategoryDetail
ConditionAdvanced Medullary Thyroid Cancer
Key MechanismsRET-targeted therapies including selective RET inhibitors and multi-kinase inhibitors.
Target PopulationPatients (≥18 years) with histopathologically confirmed advanced MTC (AJCC Stage IV).
Care SettingOncology clinical settings evaluating RET-targeted therapies.

Key Highlights

  • Selpercatinib shows the most significant progression-free survival (PFS) benefit compared to other agents.
  • Selpercatinib ranks first for objective response rate (ORR).
  • Selpercatinib has a more favorable safety profile compared to multi-kinase inhibitors.
  • Anlotinib exhibited the highest toxicity among the agents studied.
  • Clinical decisions should be individualized due to heterogeneity in patient populations.

Guideline-Based Recommendations

Diagnosis

  • Histopathological confirmation of advanced MTC is required.

Management

  • Selpercatinib is recommended as a first-line option for advanced MTC.

Monitoring & Follow-up

  • Monitor for ≥Grade 3 adverse events, particularly hepatotoxicity.

Risks

  • Consider off-target toxicities associated with multi-kinase inhibitors, such as hypertension and diarrhea.

Patient & Prescribing Data

Patients with advanced medullary thyroid cancer, including those with mixed RET mutation status.

Selpercatinib offers enhanced efficacy and improved safety compared to traditional multi-kinase inhibitors.

Clinical Best Practices

  • Utilize network meta-analysis data to inform treatment selection.
  • Assess individual patient characteristics and RET mutation status when prescribing.

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