Evidence map›Paper›PMID 30925167›Full record

ArticlePLoS genetics2019

Heterogeneous pathway activation and drug response modelled in colorectal-tumor-derived 3D cultures.

Dirk Schumacher, Geoffroy Andrieux, Karsten Boehnke, Marlen Keil, Alessandra Silvestri, Maxine Silvestrov, Ulrich Keilholz, Johannes Haybaeck, Gerrit Erdmann, Christoph Sachse and 5 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
5.2field-weighted citation impact, top 3% 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

51 citing papers in PubMed, 81 citations in OpenAlex.

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  14. Patient-Derived Organoids from Locally Advanced Gastric Adenocarcinomas Can Predict Resistance to Neoadjuvant Chemotherapy.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023
    Article
  15. Sunitinib efficacy with minimal toxicity in patient-derived retinoblastoma organoids.Journal of experimental & clinical cancer research : CR · 2023
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 3 countries.

Dirk SchumacherLaboratory of Molecular Tumor Pathology, Institute of Pathology, Charité Universitätsmedizin Berlin, Berlin, Germany.ORCID 0000-0002-0031-0063
Geoffroy AndrieuxGerman Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
Karsten BoehnkeEli Lilly and Company, Lilly Research Laboratories, Oncology Translational Research, New York, NY, United States of America.ORCID 0000-0001-6582-5722
Marlen KeilEPO Experimental Pharmacology and Oncology Berlin-Buch GmbH, Berlin, Germany.
Alessandra Silvestricpo-Cellular Phenomics & Oncology Berlin-Buch GmbH, Berlin, Germany.ORCID 0000-0003-4891-1826
Maxine Silvestrovcpo-Cellular Phenomics & Oncology Berlin-Buch GmbH, Berlin, Germany.
Ulrich KeilholzCharité Comprehensive Cancer Center, Berlin, Germany.
Johannes HaybaeckDepartment of Pathology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
Gerrit ErdmannNMI TT Pharmaservices, Berlin, Germany.ORCID 0000-0002-4183-3995
Christoph SachseNMI TT Pharmaservices, Berlin, Germany.ORCID 0000-0001-9988-9388
Markus TemplinASC Oncology GmbH, Berlin, Germany.ORCID 0000-0002-6569-6489
Jens HoffmannEPO Experimental Pharmacology and Oncology Berlin-Buch GmbH, Berlin, Germany.
Melanie BoerriesGerman Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
Reinhold SchäferGerman Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0001-7952-2124
Christian R A Regenbrechtcpo-Cellular Phenomics & Oncology Berlin-Buch GmbH, Berlin, Germany.ORCID 0000-0001-9494-5977
Helios Hospital Berlin-Buch · DEGerman Cancer Research Center · DEUniversity of Freiburg · DECharité - Universitätsmedizin Berlin · DEEli Lilly (United States) · USInnsbruck Medical University · ATNatural and Medical Sciences Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organoid cultures derived from colorectal cancer (CRC) samples are increasingly used as preclinical models for studying tumor biology and the effects of targeted therapies under conditions capturing in vitro the genetic make-up of heterogeneous and even individual neoplasms. While 3D cultures are initiated from surgical specimens comprising multiple cell populations, the impact of tumor heterogeneity on drug effects in organoid cultures has not been addressed systematically. Here we have used a cohort of well-characterized CRC organoids to study the influence of tumor heterogeneity on the activity of the KRAS/MAPK-signaling pathway and the consequences of treatment by inhibitors targeting EGFR and downstream effectors. MAPK signaling, analyzed by targeted proteomics, shows unexpected heterogeneity irrespective of RAS mutations and is associated with variable responses to EGFR inhibition. In addition, we obtained evidence for intratumoral heterogeneity in drug response among parallel "sibling" 3D cultures established from a single KRAS-mutant CRC. Our results imply that separate testing of drug effects in multiple subpopulations may help to elucidate molecular correlates of tumor heterogeneity and to improve therapy response prediction in patients.

Indexed as

Cell Culture TechniquesCell Line, TumorCohort StudiesColorectal NeoplasmsDrug Resistance, NeoplasmFemaleGenes, erbB-1HumansMaleMAP Kinase Signaling SystemMutationOrganoidsProtein Kinase InhibitorsProto-Oncogene Proteins p21(ras)ras ProteinsSignal TransductionKRAS protein, humanProtein Kinase InhibitorsProto-Oncogene Proteins p21(ras)ras Proteins

Identifiers

PMID30925167
PMCPMC6457557
OpenAlexW2930890990

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.