Evidence map›Paper›PMID 37509265›Full record

ArticleCancers2023

Advancing Cancer Therapy Predictions with Patient-Derived Organoid Models of Metastatic Breast Cancer.

Cansu E Önder, Teresa J Ziegler, Ronja Becker, Sara Y Brucker, Andreas D Hartkopf, Tobias Engler, André Koch

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Cansu E ÖnderResearch Institute for Women's Health, University of Tübingen, 72076 Tübingen, Germany.
Teresa J ZieglerResearch Institute for Women's Health, University of Tübingen, 72076 Tübingen, Germany.ORCID 0009-0005-8043-9463
Ronja BeckerResearch Institute for Women's Health, University of Tübingen, 72076 Tübingen, Germany.
Sara Y BruckerResearch Institute for Women's Health, University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0001-5162-1542
Andreas D HartkopfDepartment of Women's Health, University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0003-1227-1118
Tobias EnglerDepartment of Women's Health, University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0002-8063-2053
André KochResearch Institute for Women's Health, University of Tübingen, 72076 Tübingen, Germany.ORCID 0000-0003-3502-382X
University of Tübingen · DE

Funding

German Cancer Aid 70114705
6 · The paper itself

Abstract

The poor outcome of metastasized breast cancer (BC) stresses the need for reliable personalized oncology and the significance of models recapitulating the heterogeneous nature of BC. Here, we cultured metastatic tumor cells derived from advanced BC patients with malignant ascites (MA) or malignant pleural effusion (MPE) using organoid technology. We identified the characteristics of tumor organoids by applying immunohistochemistry and mutation analysis. Tumor organoids preserved their expression patterns and hotspot mutations when compared to their original metastatic counterpart and are consequently a well-suited in vitro model for metastasized BC. We treated the tumor organoids to implement a reliable application for drug screenings of metastasized cells. Drug assays revealed that responses are not always in accord with expression patterns, pathway activation, and hotspot mutations. The discrepancy between characterization and functional testing underlines the relevance of linking IHC stainings and mutational analysis of metastasized BC with in vitro drug assays. Our metastatic BC organoids recapitulate the characteristics of their original sample derived from MA and MPE and serve as an invaluable tool that can be utilized in a preclinical setting for guiding therapy decisions.

Indexed as

ascitesbreast cancercancer biologydrug responsemetastasisorganoid culturepatient-derived organoidspersonalized medicinepleural effusion

Identifiers

PMID37509265
PMCPMC10377262
OpenAlexW4384341178

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.