Your browser doesn't support javascript.
loading
High-throughput ex vivo drug testing identifies potential drugs and drug combinations for NRAS-positive malignant melanoma.
Kohtamäki, Laura; Arjama, Mariliina; Mäkelä, Siru; Ianevski, Philipp; Välimäki, Katja; Juteau, Susanna; Ilmonen, Suvi; Ungureanu, Daniela; Kallioniemi, Olli; Murumägi, Astrid; Hernberg, Micaela.
Afiliação
  • Kohtamäki L; Helsinki University Hospital, Comprehensive Cancer Center, Department of Oncology, Helsinki and University of Helsinki, Finland. Electronic address: laura.kohtamaki@hus.fi.
  • Arjama M; Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsinki, Finland and University of Helsinki, Finland.
  • Mäkelä S; Helsinki University Hospital, Comprehensive Cancer Center, Department of Oncology, Helsinki and University of Helsinki, Finland.
  • Ianevski P; Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsinki, Finland and University of Helsinki, Finland.
  • Välimäki K; Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsinki, Finland and University of Helsinki, Finland.
  • Juteau S; Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • Ilmonen S; Helsinki University Hospital, Department of Surgery, Helsinki and University of Helsinki, Finland.
  • Ungureanu D; Applied Tumor Genomics Research Program, Research Programs Unit, University of Helsinki, Helsinki, Finland.
  • Kallioniemi O; Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsinki, Finland and University of Helsinki, Finland; Science for Life Laboratory (SciLifeLab), Department of Oncology and Pathology, Karolinska Institutet, Sweden.
  • Murumägi A; Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), Helsinki, Finland and University of Helsinki, Finland. Electronic address: astrid.murumagi@helsinki.fi.
  • Hernberg M; Helsinki University Hospital, Comprehensive Cancer Center, Department of Oncology, Helsinki and University of Helsinki, Finland.
Transl Oncol ; 15(1): 101290, 2022 Jan.
Article em En | MEDLINE | ID: mdl-34837846
ABSTRACT
Therapy options for patients with metastatic melanoma (MM) have considerably improved over the past decade. However, many patients still need effective therapy after unsuccessful immunotherapy, especially patients with BRAF-negative tumors who lack the option of targeted treatment second line. Therefore, the elucidation of efficient and personalized therapy options for these patients is required. In this study, three patient-derived cancer cells (PDCs) were established from NRAS Q61-positive MM patients. The response of PDCs and five established melanoma cell lines (two NRAS-positive, one wild type, and two BRAF V600-positive) was evaluated toward a panel of 527 oncology drugs using high-throughput drug sensitivity and resistance testing. The PDCs and cell lines displayed strong responses to MAPK inhibitors, as expected. Additionally, the PDCs and cell lines were responsive to PI3K/mTOR, mTOR, and PLK1 inhibitors among other effective drugs currently undergoing clinical trials. Combinations with a MEK inhibitor were tested with other targeted agents to identify effective synergies. MEK inhibitor showed synergy with multikinase inhibitor ponatinib, ABL inhibitor nilotinib, PI3K/mTOR inhibitor pictilisib, and pan-RAF inhibitor LY3009120. The application of the patients' cancer cells for functional drug testing ex vivo is one step further in the process of identifying potential agents and agent combinations to personalize treatment for patients with MM. Our preliminary study results suggest that this approach has the potential for larger-scale drug testing and personalized treatment applications in our expansion trial. Our results show that drug sensitivity and resistance testing may be implementable in the treatment planning of patients with MM.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article