ROR1-PI3K/AKT signaling drives adaptive resistance to cell cycle blockade in TP53 mutated ovarian cancer

Drug resistance remains a major challenge to durable responses in ovarian cancer, the fifth leading cause of cancer-related death among women. In this study, we developed long-term resistant (lt-res, several months) pre-clinical models of two drugs inducing mitotic arrest in TP53-mutated cells: adavosertib (ADA), an investigational WEE1 inhibitor targeting the DNA damage response and currently evaluated in clinical trials, and paclitaxel (PTX), a widely used chemotherapeutic agent in cancer care targeting microtubules. Through integrated multi-omics functional profiling, we identify a shared PI3K/AKT-regulated signaling node that governs drug adaptation across all lt-res models. This node modulates the activity of DNA-damage responses and genotoxic stress to toggle between two adaptive states: activated PI3K/AKT driving a proliferative "fast-bypass" program with sustained cell cycle progression and mitotic evasion, or reduced PI3K/AKT signaling initiating a "slow-repair" state characterized by DNA damage checkpoint engagement, replication slowdown, and increased drug efflux. Notably, upregulation of receptor tyrosine kinases, such as ROR1, was observed in both ADA and PTX lt-res models with activated PI3K/AKT signaling. Targeting ROR1 with zilovertamab-vedotin, a monoclonal antibody-drug conjugate, resulted in enhanced cytotoxicity, demonstrating a new approach against recurrent drug-resistant ovarian cancer.

Authors

Institutions

Publication Details

Journal
Cell Death and Disease
Published
2026-02-27
DOI
https://doi.org/10.1038/s41419-026-08501-x
Citations
1
Primary Topic
Microtubule and mitosis dynamics
Type
article
Field-Weighted Citation Impact
23.07

Funders

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

ROR1-PI3K/AKT signaling drives adaptive resistance to cell cycle blockade in TP53 mutated ovarian cancer

Alice Dini, Emilia Piki, Elina Multamäki, Daniela Ungureanu et al.
1 citations
Cell Death and Disease
Microtubule and mitosis dynamics
23.07
article

ROR1-PI3K/AKT signaling drives adaptive resistance to cell cycle blockade in TP53 mutated ovarian cancer

Alice Dini, Emilia Piki, Elina Multamäki, Daniela Ungureanu, Astrid Murumägi, Juuli Raivola, Harlan Barker, Franziska Bentz, Aino-Maija Kiiski, Frida Rantanen, Pia Sunkel, Lassi Paavolainen
article en
1 citations

Abstract

Drug resistance remains a major challenge to durable responses in ovarian cancer, the fifth leading cause of cancer-related death among women. In this study, we developed long-term resistant (lt-res, several months) pre-clinical models of two drugs inducing mitotic arrest in TP53-mutated cells: adavosertib (ADA), an investigational WEE1 inhibitor targeting the DNA damage response and currently evaluated in clinical trials, and paclitaxel (PTX), a widely used chemotherapeutic agent in cancer care targeting microtubules. Through integrated multi-omics functional profiling, we identify a shared PI3K/AKT-regulated signaling node that governs drug adaptation across all lt-res models. This node modulates the activity of DNA-damage responses and genotoxic stress to toggle between two adaptive states: activated PI3K/AKT driving a proliferative "fast-bypass" program with sustained cell cycle progression and mitotic evasion, or reduced PI3K/AKT signaling initiating a "slow-repair" state characterized by DNA damage checkpoint engagement, replication slowdown, and increased drug efflux. Notably, upregulation of receptor tyrosine kinases, such as ROR1, was observed in both ADA and PTX lt-res models with activated PI3K/AKT signaling. Targeting ROR1 with zilovertamab-vedotin, a monoclonal antibody-drug conjugate, resulted in enhanced cytotoxicity, demonstrating a new approach against recurrent drug-resistant ovarian cancer.

Cell Death and DiseaseVol. 17(1)
University of Helsinki (FI), Institute for Molecular Medicine Finland (FI), University of Oulu (FI)
Helsingin Yliopisto, China Scholarship Council, Oulun Yliopisto, Tutkijakoulu, Oulun Yliopiston, Biocenter Finland
Good health and well-being
Openalex Percentile: Top 1%
Microtubule and mitosis dynamics
23.07
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.