Your browser doesn't support javascript.
loading
Targeted gene expression profiling predicts meningioma outcomes and radiotherapy responses.
Chen, William C; Choudhury, Abrar; Youngblood, Mark W; Polley, Mei-Yin C; Lucas, Calixto-Hope G; Mirchia, Kanish; Maas, Sybren L N; Suwala, Abigail K; Won, Minhee; Bayley, James C; Harmanci, Akdes S; Harmanci, Arif O; Klisch, Tiemo J; Nguyen, Minh P; Vasudevan, Harish N; McCortney, Kathleen; Yu, Theresa J; Bhave, Varun; Lam, Tai-Chung; Pu, Jenny Kan-Suen; Li, Lai-Fung; Leung, Gilberto Ka-Kit; Chan, Jason W; Perlow, Haley K; Palmer, Joshua D; Haberler, Christine; Berghoff, Anna S; Preusser, Matthias; Nicolaides, Theodore P; Mawrin, Christian; Agnihotri, Sameer; Resnick, Adam; Rood, Brian R; Chew, Jessica; Young, Jacob S; Boreta, Lauren; Braunstein, Steve E; Schulte, Jessica; Butowski, Nicholas; Santagata, Sandro; Spetzler, David; Bush, Nancy Ann Oberheim; Villanueva-Meyer, Javier E; Chandler, James P; Solomon, David A; Rogers, C Leland; Pugh, Stephanie L; Mehta, Minesh P; Sneed, Penny K; Berger, Mitchel S.
Afiliación
  • Chen WC; Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA. william.chen@ucsf.edu.
  • Choudhury A; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA. william.chen@ucsf.edu.
  • Youngblood MW; Department of Pathology, University of California San Francisco, San Francisco, CA, USA. william.chen@ucsf.edu.
  • Polley MC; Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
  • Lucas CG; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
  • Mirchia K; Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
  • Maas SLN; Medical Scientist Training Program, University of California San Francisco, San Francisco, CA, USA.
  • Suwala AK; Department of Neurological Surgery, Northwestern University, Chicago, IL, USA.
  • Won M; NRG Statistics and Data Management Center, NRG Oncology, Philadelphia, PA, USA.
  • Bayley JC; Department of Pathology, Johns Hopkins University, Baltimore, MD, USA.
  • Harmanci AS; Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
  • Harmanci AO; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
  • Klisch TJ; Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
  • Nguyen MP; Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands.
  • Vasudevan HN; Department of Pathology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • McCortney K; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
  • Yu TJ; Department of Neuropathology, University Hospital Heidelberg and CCU Neuropathology, German Consortium for Translational Cancer Research, German Cancer Research Center, Heidelberg, Germany.
  • Bhave V; NRG Statistics and Data Management Center, NRG Oncology, Philadelphia, PA, USA.
  • Lam TC; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA.
  • Pu JK; Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA.
  • Li LF; Center for Secure Artificial Intelligence for Healthcare, Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center, Houston, TX, USA.
  • Leung GK; Department of Molecular and Human Genetics, Baylor College of Medicine, and Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA.
  • Chan JW; Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
  • Perlow HK; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
  • Palmer JD; Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
  • Haberler C; Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
  • Berghoff AS; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
  • Preusser M; Department of Neurological Surgery, Northwestern University, Chicago, IL, USA.
  • Nicolaides TP; Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA.
  • Mawrin C; Department of Neurosurgery, Brigham and Women's Hospital, and Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Agnihotri S; Department of Clinical Oncology, The University of Hong Kong, Pokfulam, China.
  • Resnick A; Division of Neurosurgery, Department of Surgery, The University of Hong Kong, Pokfulam, China.
  • Rood BR; Division of Neurosurgery, Department of Surgery, The University of Hong Kong, Pokfulam, China.
  • Chew J; Division of Neurosurgery, Department of Surgery, The University of Hong Kong, Pokfulam, China.
  • Young JS; Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
  • Boreta L; Department of Radiation Oncology, Ohio State University, Columbus, OH, USA.
  • Braunstein SE; Department of Radiation Oncology, Ohio State University, Columbus, OH, USA.
  • Schulte J; Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria.
  • Butowski N; Division of Oncology, Department of Medicine, Medical University of Vienna, Vienna, Austria.
  • Santagata S; Division of Oncology, Department of Medicine, Medical University of Vienna, Vienna, Austria.
  • Spetzler D; Caris Life Sciences, Phoenix, AZ, USA.
  • Bush NAO; Department of Neuropathology, University of Magdeburg, Magdeburg, Germany.
  • Villanueva-Meyer JE; Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA.
  • Chandler JP; Department of Neurological Surgery, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
  • Solomon DA; Brain Tumor Institute, Children's National Hospital, Washington, DC, USA.
  • Rogers CL; Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
  • Pugh SL; Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
  • Mehta MP; Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA.
  • Sneed PK; Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
  • Berger MS; Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA.
Nat Med ; 29(12): 3067-3076, 2023 Dec.
Article en En | MEDLINE | ID: mdl-37944590
ABSTRACT
Surgery is the mainstay of treatment for meningioma, the most common primary intracranial tumor, but improvements in meningioma risk stratification are needed and indications for postoperative radiotherapy are controversial. Here we develop a targeted gene expression biomarker that predicts meningioma outcomes and radiotherapy responses. Using a discovery cohort of 173 meningiomas, we developed a 34-gene expression risk score and performed clinical and analytical validation of this biomarker on independent meningiomas from 12 institutions across 3 continents (N = 1,856), including 103 meningiomas from a prospective clinical trial. The gene expression biomarker improved discrimination of outcomes compared with all other systems tested (N = 9) in the clinical validation cohort for local recurrence (5-year area under the curve (AUC) 0.81) and overall survival (5-year AUC 0.80). The increase in AUC compared with the standard of care, World Health Organization 2021 grade, was 0.11 for local recurrence (95% confidence interval 0.07 to 0.17, P < 0.001). The gene expression biomarker identified meningiomas benefiting from postoperative radiotherapy (hazard ratio 0.54, 95% confidence interval 0.37 to 0.78, P = 0.0001) and suggested postoperative management could be refined for 29.8% of patients. In sum, our results identify a targeted gene expression biomarker that improves discrimination of meningioma outcomes, including prediction of postoperative radiotherapy responses.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Meníngeas / Meningioma Idioma: En Revista: Nat Med Asunto de la revista: BIOLOGIA MOLECULAR / MEDICINA Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Meníngeas / Meningioma Idioma: En Revista: Nat Med Asunto de la revista: BIOLOGIA MOLECULAR / MEDICINA Año: 2023 Tipo del documento: Article