Evidence map›Paper›PMID 32486365›Full record

ReviewCancers2020

Patient-Derived In Vitro Models for Drug Discovery in Colorectal Carcinoma.

George M Ramzy, Thibaud Koessler, Eloise Ducrey, Thomas McKee, Frédéric Ris, Nicolas Buchs, Laura Rubbia-Brandt, Pierre-Yves Dietrich, Patrycja Nowak-Sliwinska

Abstract readReview
In one paragraph

Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Evaluation of Anticancer Potential in Human Colorectal CarcinomaAnti-cancer agents in medicinal chemistry · 2026
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Spheroids and organoids derived from colorectal cancer as tools forExploration of targeted anti-tumor therapy · 2024
    Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors.

George M RamzyMolecular Pharmacology Group, School of Pharmaceutical Sciences, Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, 1211 Geneva, Switzerland.
Thibaud KoesslerDepartment of Oncology, Geneva University Hospitals, 1211 Geneva, Switzerland.
Eloise DucreyMolecular Pharmacology Group, School of Pharmaceutical Sciences, Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, 1211 Geneva, Switzerland.
Thomas McKeeDivision of Clinical Pathology, Diagnostic Department, University Hospitals of Geneva (HUG), 1211 Geneva, Switzerland.
Frédéric RisTranslational Department of Digestive and Transplant Surgery, Geneva University Hospitals and Faculty of Medicine, 1211 Geneva, Switzerland.
Nicolas BuchsTranslational Department of Digestive and Transplant Surgery, Geneva University Hospitals and Faculty of Medicine, 1211 Geneva, Switzerland.
Laura Rubbia-BrandtDivision of Clinical Pathology, Diagnostic Department, University Hospitals of Geneva (HUG), 1211 Geneva, Switzerland.
Pierre-Yves DietrichDepartment of Oncology, Geneva University Hospitals, 1211 Geneva, Switzerland.
Patrycja Nowak-SliwinskaMolecular Pharmacology Group, School of Pharmaceutical Sciences, Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, 1211 Geneva, Switzerland.

Funding

European Research Council 680209
6 · The paper itself

Abstract

Lack of relevant preclinical models that reliably recapitulate the complexity and heterogeneity of human cancer has slowed down the development and approval of new anti-cancer therapies. Even though two-dimensional in vitro culture models remain widely used, they allow only partial cell-to-cell and cell-to-matrix interactions and therefore do not represent the complex nature of the tumor microenvironment. Therefore, better models reflecting intra-tumor heterogeneity need to be incorporated in the drug screening process to more reliably predict the efficacy of drug candidates. Classic methods of modelling colorectal carcinoma (CRC), while useful for many applications, carry numerous limitations. In this review, we address the recent advances in in vitro CRC model systems, ranging from conventional CRC patient-derived models, such as conditional reprogramming-based cell cultures, to more experimental and state-of-the-art models, such as cancer-on-chip platforms or liquid biopsy.

Indexed as

3D bioprintingcancer-on-chipColorectal cancerdrug combinationorganoidspatient-derived xenograft

Identifiers

PMID32486365
PMCPMC7352800

What OpenQuestion holds

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Registered trials

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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.