Functional screening identifies kinesin spindle protein inhibitor filanesib as a potential treatment option for hepatoblastoma

Hepatoblastoma is a rare pediatric liver malignancy usually treated with surgery and chemotherapy. To explore new treatment options for hepatoblastoma, drug screening was performed using six cell models established from aggressive hepatoblastoma tumors and healthy pediatric primary hepatocytes. Of the 527 screened compounds, 98 demonstrated cancer-selective activity in at least one hepatoblastoma model. The kinesin spindle protein (KSP) inhibitor filanesib was effective in all models and was further evaluated. Filanesib induced G2/M arrest and apoptosis in hepatoblastoma cells at concentrations tolerable to primary hepatocytes. Prominent nuclear fragmentation was observed in filanesib-treated hepatoblastoma cells. Genes participating in cell cycle regulation were noted to be differentially expressed after filanesib treatment. Filanesib reduced the rate of tumor growth in 4/5 hepatoblastoma mice models. One of these models showed complete growth arrest. Our results suggest that filanesib is a potential candidate for hepatoblastoma treatment and should be investigated in future clinical trials.

Authors

Institutions

Publication Details

Journal
npj Precision Oncology
Published
2025-04-25
DOI
https://doi.org/10.1038/s41698-025-00915-8
Citations
2
Primary Topic
Microtubule and mitosis dynamics
Type
article
Field-Weighted Citation Impact
2.30

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Functional screening identifies kinesin spindle protein inhibitor filanesib as a potential treatment option for hepatoblastoma

Tamara J. Luck, Émilie Indersie, David Brown Wilson, Ruth Nousiainen et al.
2 citations
npj Precision Oncology
Microtubule and mitosis dynamics
2.30
article

Functional screening identifies kinesin spindle protein inhibitor filanesib as a potential treatment option for hepatoblastoma

Tamara J. Luck, Émilie Indersie, David Brown Wilson, Ruth Nousiainen, Marjut Pihlajoki, Katja Eloranta, Antti Hassinen, Lassi Paavolainen, Swapnil Potdar, Jani Saarela, Stefano Cairo, Markku Heikinheimo, Michaela Feodoroff, Vilja Pietiäinen, Jouko Lohi
article en
2 citations

Abstract

Hepatoblastoma is a rare pediatric liver malignancy usually treated with surgery and chemotherapy. To explore new treatment options for hepatoblastoma, drug screening was performed using six cell models established from aggressive hepatoblastoma tumors and healthy pediatric primary hepatocytes. Of the 527 screened compounds, 98 demonstrated cancer-selective activity in at least one hepatoblastoma model. The kinesin spindle protein (KSP) inhibitor filanesib was effective in all models and was further evaluated. Filanesib induced G2/M arrest and apoptosis in hepatoblastoma cells at concentrations tolerable to primary hepatocytes. Prominent nuclear fragmentation was observed in filanesib-treated hepatoblastoma cells. Genes participating in cell cycle regulation were noted to be differentially expressed after filanesib treatment. Filanesib reduced the rate of tumor growth in 4/5 hepatoblastoma mice models. One of these models showed complete growth arrest. Our results suggest that filanesib is a potential candidate for hepatoblastoma treatment and should be investigated in future clinical trials.

npj Precision OncologyVol. 9(1)
University of Helsinki (FI), Tampere University (FI), Washington University in St. Louis (US), Helsinki University Hospital (FI), Helsinki Children's Hospital (FI), Institute for Molecular Medicine Finland (FI), Champions Oncology (United States) (US), Città della Speranza Foundation (IT)
Helsingin Yliopisto, Helsingin ja Uudenmaan Sairaanhoitopiiri, Academy of Finland, Suomen Kulttuurirahasto, Päivikki ja Sakari Sohlbergin Säätiö, Emil Aaltosen Säätiö, Sigrid Juséliuksen Säätiö, Syöpäsäätiö, Biocenter Finland, Helsinki Institute of Life Science, Helsingin Yliopisto, Kymenlaakson Rahasto
Good health and well-being
Openalex Percentile: Top 14%
Microtubule and mitosis dynamics
2.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.