Development and validation of an m6A and autophagy related lncRNAs signature for predicting survival and modulating the immune microenvironment in esophageal squamous cell carcinoma - Scorecard - MDSpire

Development and validation of an m6A and autophagy related lncRNAs signature for predicting survival and modulating the immune microenvironment in esophageal squamous cell carcinoma

  • By

  • Mingyi Yang

  • Honghao Ren

  • Jing Hu

  • Pengfei Wen

  • Jiale Xie

  • Xianjie Wan

  • Lin Liu

  • Zhi Yang

  • Ming Zhang

  • Xiaodong Ren

  • Yani Su

  • May 28, 2026

  • 0 min

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Clinical Scorecard: Creation and assessment of a signature based on m6A and autophagy-associated lncRNAs for predicting survival outcomes and influencing the immune landscape in esophageal squamous cell carcinoma

At a Glance

CategoryDetail
ConditionEsophageal Squamous Cell Carcinoma (ESCC)
Key Mechanismsm6A modification and autophagy-related lncRNAs
Target PopulationPatients with esophageal squamous cell carcinoma
Care SettingOncology

Key Highlights

  • Established a prognostic model based on five m6aARLncs for predicting overall survival in ESCC patients.
  • Identified unique immune phenotypes associated with the prognostic model.
  • Correlated expression of immune checkpoint molecules with risk stratification.
  • Pharmacogenomic analysis revealed nine compounds with differential sensitivity across risk strata.
  • Validated mRNA expression levels of key lncRNAs using RT-qPCR.

Guideline-Based Recommendations

Diagnosis

  • Utilize transcriptomic data for risk stratification in ESCC.

Management

  • Consider targeted therapeutic interventions based on m6A-autophagy-lncRNA regulatory axis.

Monitoring & Follow-up

  • Assess immune microenvironment changes in relation to risk scores.

Risks

  • Late-stage diagnosis contributes to poor prognosis in ESCC.

Patient & Prescribing Data

Patients diagnosed with esophageal squamous cell carcinoma.

Potential therapeutic agents identified through pharmacogenomic profiling.

Clinical Best Practices

  • Incorporate m6A and autophagy-related biomarkers in prognostic assessments.
  • Utilize immune profiling to inform treatment strategies.

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