// App-Quantinova.ai

e17102 : Prospective comparison of different methods of identifying Lynch Syndrome (LS) associated endometrial cancer (EC) and prognostic factor (PF) impact.

Researchers

Presenter

  • Ignacio Romero

Principal Investigators

  • Zaida Garcia-Casado

  • Pedro Martinez

  • Carmen Illueca

  • Cristina Zorrero

  • Jose Manuel Bosch

  • Lucas Minig

  • Jose Antonio Lopez-Guerrero

  • Andres Poveda

Medical Centers

  • Clinical Area of Gynecologic Oncology, Instituto Valenciano de Oncologia (IVO), Valencia, Spain

  • Instiuto Valenciano de Oncologia, Valencia, Spain

  • Area Clinica Oncologia Ginecologica, Instituto Valenciano de Oncologia, Valencia, Spain

  • Instiuto Valenciano de Oncologia, Valencia, Spain

  • Laboratorio de Biologia Molecular, Fundacion Instituto Valenciano de Oncologia, Valencia, Spain

Locations

  • Spain

Companies

  • N/A

Study Components

Therapeutic Area

  • Oncology (ONC)

Disease

  • Endometrial Cancer

  • Lynch syndrome

  • Solid malignancies

Biomarkers

  • MutL Homolog 1

  • MutS Homolog 6

  • MutS protein homolog 2

  • Microsatellite instability

Drug/Treatment

  • N/A

Outcome

  • N/A


Study Design

  • Prospective

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • Final