Investigator

Daniela Ungureanu

University of Helsinki

DUDaniela Ungureanu
Papers(3)
ROR1-PI3K/AKT signali…A multiplex single-ce…Multiomics characteri…
Collaborators(9)
Alice DiniEmilia PikiFrida RantanenHanna KarvonenJuuli RaivolaKari SalokasLassi PaavolainenOlli KallioniemiFranziska Bentz
Institutions(4)
University Of OuluNYU Perlmutter Cancer…University of HelsinkiUniversity of Helsinki

Papers

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

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.

Multiomics characterization implicates PTK7 in ovarian cancer EMT and cell plasticity and offers strategies for therapeutic intervention

AbstractMost patients with ovarian cancer (OC) are diagnosed at a late stage when there are very few therapeutic options and a poor prognosis. This is due to the lack of clearly defined underlying mechanisms or an oncogenic addiction that can be targeted pharmacologically, unlike other types of cancer. Here, we identified protein tyrosine kinase 7 (PTK7) as a potential new therapeutic target in OC following a multiomics approach using genetic and pharmacological interventions. We performed proteomics analyses upon PTK7 knockdown in OC cells and identified novel downstream effectors such as synuclein-γ (SNCG), SALL2, and PP1γ, and these findings were corroborated in ex vivo primary samples using PTK7 monoclonal antibody cofetuzumab. Our phosphoproteomics analyses demonstrated that PTK7 modulates cell adhesion and Rho-GTPase signaling to sustain epithelial-mesenchymal transition (EMT) and cell plasticity, which was confirmed by high-content image analysis of 3D models. Furthermore, using high-throughput drug sensitivity testing (525 drugs) we show that targeting PTK7 exhibited synergistic activity with chemotherapeutic agent paclitaxel, CHK1/2 inhibitor prexasertib, and PLK1 inhibitor GSK461364, among others, in OC cells and ex vivo primary samples. Taken together, our study provides unique insight into the function of PTK7, which helps to define its role in mediating aberrant Wnt signaling in ovarian cancer.

42Works
3Papers
9Collaborators
Ovarian NeoplasmsCell Line, TumorTumor Suppressor Protein p53Drug Resistance, NeoplasmCarcinoma, Ovarian Epithelial

Positions

Researcher

University of Helsinki

2022–

Associate Prof. (tenure)

University of Oulu · Faculty of Biochemistry and Molecular Medicine

2020–

Co-PI, Medical Systems Biology

University of Helsinki · Applied Tumour Genomics

2014–

PI

University of Tampere · Cancer Signaling

Education

2013

Docent

University of Tampere · Faculty of Medicine and Life Sciences

2005

PhD

University of Tampere · Momecular Immunology