Your browser doesn't support javascript.
loading
Disparity between Inter-Patient Molecular Heterogeneity and Repertoires of Target Drugs Used for Different Types of Cancer in Clinical Oncology.
Zolotovskaia, Marianna A; Sorokin, Maxim I; Petrov, Ivan V; Poddubskaya, Elena V; Moiseev, Alexey A; Sekacheva, Marina I; Borisov, Nicolas M; Tkachev, Victor S; Garazha, Andrew V; Kaprin, Andrey D; Shegay, Peter V; Giese, Alf; Kim, Ella; Roumiantsev, Sergey A; Buzdin, Anton A.
Afiliación
  • Zolotovskaia MA; Oncobox ltd., Moscow 121205, Russia.
  • Sorokin MI; Department of Oncology, Hematology and Radiotherapy of Pediatric Faculty, Pirogov Russian National Research Medical University, Moscow 117997, Russia.
  • Petrov IV; Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region 141701, Russia.
  • Poddubskaya EV; I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Moiseev AA; Omicsway Corp., Walnut, CA, 91789, USA.
  • Sekacheva MI; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow 117997, Russia.
  • Borisov NM; Oncobox ltd., Moscow 121205, Russia.
  • Tkachev VS; I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Garazha AV; I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Kaprin AD; I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Shegay PV; Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region 141701, Russia.
  • Giese A; I.M. Sechenov First Moscow State Medical University, Moscow 119991, Russia.
  • Kim E; Omicsway Corp., Walnut, CA, 91789, USA.
  • Roumiantsev SA; Omicsway Corp., Walnut, CA, 91789, USA.
  • Buzdin AA; Omicsway Corp., Walnut, CA, 91789, USA.
Int J Mol Sci ; 21(5)2020 Feb 26.
Article en En | MEDLINE | ID: mdl-32111026
ABSTRACT
Inter-patient molecular heterogeneity is the major declared driver of an expanding variety of anticancer drugs and personalizing their prescriptions. Here, we compared interpatient molecular heterogeneities of tumors and repertoires of drugs or their molecular targets currently in use in clinical oncology. We estimated molecular heterogeneity using genomic (whole exome sequencing) and transcriptomic (RNA sequencing) data for 4890 tumors taken from The Cancer Genome Atlas database. For thirteen major cancer types, we compared heterogeneities at the levels of mutations and gene expression with the repertoires of targeted therapeutics and their molecular targets accepted by the current guidelines in oncology. Totally, 85 drugs were investigated, collectively covering 82 individual molecular targets. For the first time, we showed that the repertoires of molecular targets of accepted drugs did not correlate with molecular heterogeneities of different cancer types. On the other hand, we found that the clinical recommendations for the available cancer drugs were strongly congruent with the gene expression but not gene mutation patterns. We detected the best match among the drugs usage recommendations and molecular patterns for the kidney, stomach, bladder, ovarian and endometrial cancers. In contrast, brain tumors, prostate and colorectal cancers showed the lowest match. These findings provide a theoretical basis for reconsidering usage of targeted therapeutics and intensifying drug repurposing efforts.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sistemas de Liberación de Medicamentos / Heterogeneidad Genética / Terapia Molecular Dirigida / Oncología Médica / Neoplasias Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Int J Mol Sci Año: 2020 Tipo del documento: Article País de afiliación: Rusia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sistemas de Liberación de Medicamentos / Heterogeneidad Genética / Terapia Molecular Dirigida / Oncología Médica / Neoplasias Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Int J Mol Sci Año: 2020 Tipo del documento: Article País de afiliación: Rusia