Evidence map›Paper›PMID 40296444›Full record

ArticleInternational journal of cancer2025

Patient-derived tumor organoids highlight the potential of precision medicine in managing pancreatic ductal adenocarcinoma.

Christine Nitschke, Charline Phan, Yara Souto, Philipp Walter, Mara Goetz, Gediminas Simkus, Jacob Thastrup, Ronald Simon, Jürgen Kupper, Jakob Izbicki and 6 more

Abstract read
In one paragraph

Article in International journal of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
  4. Review
  5. Review
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Christine NitschkeDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0002-4645-7909
Charline Phan2cureX, Copenhagen, Denmark.
Yara SoutoRobert Bosch Center for Tumor Diseases, Stuttgart, Germany.
Philipp WalterDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Mara GoetzDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Gediminas Simkus2cureX, Copenhagen, Denmark.
Jacob Thastrup2cureX, Copenhagen, Denmark.
Ronald SimonInstitute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0003-0158-4258
Jürgen Kupper2cureX, Copenhagen, Denmark.
Jakob IzbickiDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Steven A JohnsenRobert Bosch Center for Tumor Diseases, Stuttgart, Germany.
Thilo HackertDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Marianne SinnII. Medical Clinic (Department of Oncology), University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Harriet WikmanInstitute of Tumor Biology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0001-6862-0888
Faik G UzunogluDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Tabea M Sturmheit2cureX, Copenhagen, Denmark.

Funding

Mildred Scheel Cancer Career CenterUKE/Joachim Herz foundationWerner Otto Stiftung
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) ranks among the most lethal cancers, with only 20% of patients qualifying for curative treatment at diagnosis. Three-dimensional tumor organoids capturing patient-specific features of PDAC serve as a valuable disease model. We employed this technology to assess drug sensitivities of patient-derived tumor organoids to clinically relevant drugs and combinations, evaluated culture success rates, and correlated in vitro data with clinicopathological and follow-up information. Tumor organoid cultures were established from PDAC patients undergoing surgical resection (or liver biopsy) and follow-up at a single medical center. Patient-derived cultures displaying sustained growth were analyzed regarding their molecular subtype and utilized for functional drug sensitivity testing (f-DST). Correlative analyses of our PDAC patient cohort (n = 67; n = 42 patients with curative tumor resection and n = 25 palliative patients) revealed a link between tumor organoid growth and reduced patient survival. Furthermore, drug sensitivity profiles (obtained of 10 patient-derived cultures) revealed notable inter-individual differences and mirrored clinical responses to administered drug therapies. f-DST was applicable across tumor organoid cultures of both classical and basal subtype, according to the Purity Independent Subtyping of Tumors (PurIST) classifier. This pilot study confirms the feasibility of deriving and maintaining tumor organoid cultures from heterogeneous samples. Cultures displaying sustained proliferation correlated positively with advanced-stage tumors (Tumour, Node, Metastasis (UICC) stages III and IV). Individual patient case analyses integrating in vitro drug sensitivity profiles with clinical follow-up data suggest that f-DST using tumor organoids could guide future therapeutic strategies. In summary, tumor organoids offer insights into patient-specific responses to treatment, highlighting the potential of precision medicine in managing this challenging cancer.

Indexed as

Carcinoma, Pancreatic DuctalOrganoidsPancreatic NeoplasmsPrecision MedicineAgedAged, 80 and overDrug Screening Assays, AntitumorFemaleHumansMaleMiddle AgedTumor Cells, Cultureddrug testingpancreatic cancerprecision medicinetumor organoids

Identifiers

PMID40296444
PMCPMC12178096

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.