Back

Pathway-centric multi-omics and functional precision medicine reveal shared drug vulnerabilities in heterogeneous adult Wilms tumor

Polso, M.;Kumari, R.;Luck, T.;Mikkonen, P.;Välimäki, K.;Merivirta, R.;Malmstedt, M.;Lehtonen, J.;Romppanen, E.;Kuusela, S.;Hassinen, A.;Saarela, J.;Pellinen, T.;Jaakkola, P.;Suonpää, P.;Järvinen, P.;Kallioniemi, O.;Mirtti, T.;Rannikko, A.;Pietiäinen, V.

2026-06-25 Cancer Biology
10.64898/2026.06.23.734042 bioRxiv
Show abstract

Wilms tumor, i.e., nephroblastoma, is rare in adults and lacks standardized treatment, complicating clinical decision-making. Within the functional precision medicine study (DEDUCER), we profiled two spatially distinct tumor regions (T1 and T2) of an adult Wilms tumor patient using integrated histopathology, whole-exome sequencing, FFPE transcriptomics, and ex vivo drug screening of short-term cultured patient-derived cancer cells (PDCs) with 528 compounds. Genomic profiling revealed a truncal ASXL1 frameshift and shared F7, UBA1, COL21A1, and ATM variants alongside region-specific alterations: a TP53 mutation and broad copy-number (CN) gains in T1, versus ARID1A and KMT2D stop-gains in copy-neutral T2. Transcriptomics of tumor areas identified convergent activation of the G2/M checkpoint, E2F targets, and mitotic spindle programs across regions, consistent with high proliferation and partially comparable biomarker signatures to those observed in an open-source pediatric Wilms tumor dataset (n = 130). Functional assays uncovered distinct and shared drug vulnerabilities: although ATM alterations were present in both tumors, T1 PDCs showed selective sensitivity to topoisomerase I and BCL-2 inhibition in the context of an additional T1-specific TP53 alteration, while broader single-agent sensitivity and stronger drug synergies were observed in T2. Pathway-centric data integration indicated that differential gene expression and copy-number gains, rather than single mutations alone, better predicted ex vivo drug responses, revealing actionable shared dependencies despite pronounced spatial heterogeneity and establishing a translational framework for individualized management in this rare disease. HIGHLIGHTS- In the adult Wilms tumor, multi-region genomics revealed a truncal ASXL1 frameshift together with F7, UBA1, COL21A1 and ATM mutations across two tumor regions (T1 and T2), as well as region-specific alterations: TP53 mutation and widespread copy-number gains in T1, versus ARID1A and KMT2D stop-gains in copy-neutral T2, illustrating spatial heterogeneity. - Transcriptomics showed convergent activation of E2F targets, G2/M checkpoint, and mitotic spindle programs in both regions, consistent with high proliferation and aligning with Wilms tumor signatures (TARGET dataset); these pathways were associated with higher ex vivo drug sensitivity scores. - Functional drug sensitivity testing of patient -derived cancer cells ex vivo uncovered distinct and shared vulnerabilities: Although both tumors shared an ATM mutation, T1-specific TP53 alteration and death-pathway/stress-response alterations may underlie selective sensitivity to topoisomerase I inhibitors and BCL-2 inhibition. - Clinically relevant combinations, including vincristine plus dactinomycin and doxorubicin plus dactinomycin, showed ex vivo synergy. These findings are consistent with the patients more than five-year relapse-free outcome following vincristine, doxorubicin, and dactinomycin treatment combined with surgery, supporting the translational relevance of the ex vivo drug testing approach. - Pathway-centric integration (copy-number gains and differential expression) predicted drug response better than single-gene biomarkers. Overall, pathway-level dependencies provide robust, actionable targets despite genomic and phenotypic heterogeneity in adult Wilms tumor.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
JCI Insight
277 papers in training set
Top 0.4%
9.0%
2
Nature Communications
5641 papers in training set
Top 19%
9.0%
3
Neuro-Oncology
36 papers in training set
Top 0.1%
7.9%
4
Genome Medicine
183 papers in training set
Top 0.3%
7.3%
5
Cell Reports Medicine
153 papers in training set
Top 0.3%
5.5%
6
Nature Medicine
125 papers in training set
Top 0.4%
4.9%
7
eBioMedicine
183 papers in training set
Top 0.6%
4.1%
8
Scientific Reports
3612 papers in training set
Top 26%
4.1%
50% of probability mass above
9
Cancers
213 papers in training set
Top 2%
3.2%
10
Clinical Cancer Research
64 papers in training set
Top 1%
1.9%
11
EMBO Molecular Medicine
95 papers in training set
Top 0.7%
1.9%
12
Communications Medicine
113 papers in training set
Top 2%
1.9%
13
Journal for ImmunoTherapy of Cancer
75 papers in training set
Top 1%
1.7%
14
Clinical and Translational Medicine
31 papers in training set
Top 0.3%
1.7%
15
npj Precision Oncology
53 papers in training set
Top 0.9%
1.7%
16
Journal of Clinical Investigation
179 papers in training set
Top 3%
1.5%
17
Science Advances
1243 papers in training set
Top 22%
1.4%
18
PLOS ONE
5266 papers in training set
Top 52%
1.4%
19
iScience
1154 papers in training set
Top 21%
1.4%
20
Blood Cancer Journal
14 papers in training set
Top 0.2%
1.1%
21
Science Translational Medicine
127 papers in training set
Top 2%
1.1%
22
Cancer Cell
42 papers in training set
Top 1%
1.0%
23
Neuro-Oncology Advances
25 papers in training set
Top 0.4%
1.0%
24
British Journal of Cancer
49 papers in training set
Top 2%
0.9%
25
eLife
5828 papers in training set
Top 64%
0.9%
26
Molecular Systems Biology
162 papers in training set
Top 3%
0.9%
27
Cell Reports
1498 papers in training set
Top 27%
0.9%
28
Nature Cancer
39 papers in training set
Top 1%
0.6%
29
Molecular Medicine
11 papers in training set
Top 0.4%
0.6%
30
International Journal of Molecular Sciences
494 papers in training set
Top 17%
0.6%