title: TP53 mutational status is predictive of pazopanib response in advanced sarcomas.
abstract: BACKGROUND
  To investigate whether TP53 DNA mutational status impacts progression-free survival (PFS) in patients with advanced sarcomas (soft tissue sarcoma) treated with vascular endothelial growth factor receptors (VEGFR) inhibition.
  
  
  METHODS
  We retrospectively reviewed 19 cases of patients treated at the Ohio State James Comprehensive Cancer Center with advanced sarcoma treated with VEGFR inhibition who also had next-generation sequencing of their tumors (via FoundationOne Heme panel). We evaluated TP53 as well as mutations that were observed in at least 20% of patients and evaluated its contribution to PFS using the Kaplan-Meier survival analysis of available radiology end points.
  
  
  RESULTS
  Mutations that were observed in at least 20% of patients included TP53 and Rb1. Only TP53 was predictive of PFS in the context of VEGFR inhibition. The PFS of patients with TP53 mutations was significantly greater than TP53 wild-type tumors with the median PFS of 208 versus 136 days, respectively [P = 0.036, hazards ratio 0.38 (95% confidence interval 0.09-0.83)].
  
  
  CONCLUSIONS
  Mutations in TP53 may serve as a predictive biomarker of response to VEGFR inhibition in patients with advanced sarcoma. Larger, prospective studies are necessary to confirm these findings.
authors.affiliation: Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus.
authors.forename: K
authors.initials: K
authors.lastname: Koehler
authors.affiliation: Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus Division of Bioinformatics, Department of Biomedical Informatics, The Ohio State University, Columbus, USA.
authors.forename: D
authors.initials: D
authors.lastname: Liebner
authors.affiliation: Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus Division of Bioinformatics, Department of Biomedical Informatics, The Ohio State University, Columbus, USA james.chen@osumc.edu.
authors.forename: J L
authors.initials: JL
authors.lastname: Chen
mesh_terms: D020533:Angiogenesis Inhibitors / Q000627:therapeutic use*; D001483:Base Sequence; D018572:Disease-Free Survival; D005260:Female; D005819:Genetic Markers / Q000235:genetics; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D007191:Indazoles; D053208:Kaplan-Meier Estimate; D008297:Male; D008875:Middle Aged; D009154:Mutation / Q000235:genetics; D011743:Pyrimidines / Q000627:therapeutic use*; D040262:Receptors, Vascular Endothelial Growth Factor / Q000037:antagonists & inhibitors*; D016160:Retinoblastoma Protein / Q000235:genetics; D012189:Retrospective Studies; D012509:Sarcoma / Q000188:drug therapy*; D017422:Sequence Analysis, DNA; D013449:Sulfonamides / Q000627:therapeutic use*; D016896:Treatment Outcome; D016159:Tumor Suppressor Protein p53 / Q000235:genetics*
chemical_list: D020533:Angiogenesis Inhibitors; D005819:Genetic Markers; D007191:Indazoles; D011743:Pyrimidines; D016160:Retinoblastoma Protein; D013449:Sulfonamides; C495901:TP53 protein, human; D016159:Tumor Suppressor Protein p53; C516667:pazopanib; D040262:Receptors, Vascular Endothelial Growth Factor
keywords: TP53; VEGFR; next-generation sequencing; pazopanib; sarcoma