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CRISPR Screens in Synthetic Lethality and Combinatorial Therapies for Cancer.
Castells-Roca, Laia; Tejero, Eudald; Rodríguez-Santiago, Benjamín; Surrallés, Jordi.
Afiliação
  • Castells-Roca L; Genome Instability and DNA Repair Syndromes Group, Sant Pau Biomedical Research Institute (IIB Sant Pau) and Join Unit UAB-IR Sant Pau on Genomic Medicine, 08041 Barcelona, Spain.
  • Tejero E; Genetics Department, Hospital de la Santa Creu i Sant Pau, 08041 Barcelona, Spain.
  • Rodríguez-Santiago B; Genetics and Microbiology Department, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.
  • Surrallés J; Sant Pau Biomedical Research Institute (IIB Sant Pau), 08041 Barcelona, Spain.
Cancers (Basel) ; 13(7)2021 Mar 30.
Article em En | MEDLINE | ID: mdl-33808217
Cancer is a complex disease resulting from the accumulation of genetic dysfunctions. Tumor heterogeneity causes the molecular variety that divergently controls responses to chemotherapy, leading to the recurrent problem of cancer reappearance. For many decades, efforts have focused on identifying essential tumoral genes and cancer driver mutations. More recently, prompted by the clinical success of the synthetic lethality (SL)-based therapy of the PARP inhibitors in homologous recombinant deficient tumors, scientists have centered their novel research on SL interactions (SLI). The state of the art to find new genetic interactions are currently large-scale forward genetic CRISPR screens. CRISPR technology has rapidly evolved to be a common tool in the vast majority of laboratories, as tools to implement CRISPR screen protocols are available to all researchers. Taking advantage of SLI, combinatorial therapies have become the ultimate model to treat cancer with lower toxicity, and therefore better efficiency. This review explores the CRISPR screen methodology, integrates the up-to-date published findings on CRISPR screens in the cancer field and proposes future directions to uncover cancer regulation and individual responses to chemotherapy.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Espanha

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Espanha