Evidence map›Paper›PMID 34090508›Full record

ReviewJournal of experimental & clinical cancer research : CR2021

Preclinical models as patients' avatars for precision medicine in colorectal cancer: past and future challenges.

Erika Durinikova, Kristi Buzo, Sabrina Arena

Abstract readReview
In one paragraph

Review in Journal of experimental & clinical cancer research : CR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
–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

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Patient-Derived Xenograft Models in Cervical Cancer: A Systematic Review.International journal of molecular sciences · 2021
    Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. From mono- to multi-cellularFrontiers in cell and developmental biology · 2026
    Review
  7. Organoids glimpse: the nexus for diverse tumor heterogeneity.Frontiers in cell and developmental biology · 2026
    Review
  8. Article
  9. Article
  10. Pathway Analysis Interpretation in the Multi-Omic Era.Biotech (Basel (Switzerland)) · 2025
    Review
  11. Review
  12. Review
  13. Article
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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

3 authors.

Erika DurinikovaCandiolo Cancer Institute, FPO - IRCCS, Strada Provinciale 142, Km 3.95, 10060, Candiolo, TO, Italy.
Kristi BuzoCandiolo Cancer Institute, FPO - IRCCS, Strada Provinciale 142, Km 3.95, 10060, Candiolo, TO, Italy.
Sabrina ArenaCandiolo Cancer Institute, FPO - IRCCS, Strada Provinciale 142, Km 3.95, 10060, Candiolo, TO, Italy. sabrina.arena@unito.it.ORCID http://orcid.org/0000-0002-1318-2494

Funding

Associazione Italiana per la Ricerca sul Cancro MFAG 2017-ID 20236Fondazione Piemontese per la Ricerca sul Cancro 5xmille 2017 Ministero Salute PTCRC-Intra 2020 (REGENERATION-YIG 2020 project)TRANSCAN-2 JTC 2014 TRS-2015-00000060 INTRACOLOR
6 · The paper itself

Abstract

Colorectal cancer (CRC) is a complex and heterogeneous disease, characterized by dismal prognosis and low survival rate in the advanced (metastatic) stage. During the last decade, the establishment of novel preclinical models, leading to the generation of translational discovery and validation platforms, has opened up a new scenario for the clinical practice of CRC patients. To bridge the results developed at the bench with the medical decision process, the ideal model should be easily scalable, reliable to predict treatment responses, and flexibly adapted for various applications in the research. As such, the improved benefit of novel therapies being tested initially on valuable and reproducible preclinical models would lie in personalized treatment recommendations based on the biology and genomics of the patient's tumor with the overall aim to avoid overtreatment and unnecessary toxicity. In this review, we summarize different in vitro and in vivo models, which proved efficacy in detection of novel CRC culprits and shed light into the biology and therapy of this complex disease. Even though cell lines and patient-derived xenografts remain the mainstay of colorectal cancer research, the field has been confidently shifting to the use of organoids as the most relevant preclinical model. Prioritization of organoids is supported by increasing body of evidence that these represent excellent tools worth further therapeutic explorations. In addition, novel preclinical models such as zebrafish avatars are emerging as useful tools for pharmacological interrogation. Finally, all available models represent complementary tools that can be utilized for precision medicine applications.

Indexed as

Precision MedicineAnimalsColorectal NeoplasmsDisease Models, AnimalHumansOrganoidsXenograft Model Antitumor AssaysZebrafishColorectal cancerOrganoidsPatient-derived xenograftsPersonalized medicinePreclinical modelsXenolinesZebrafish patient-derived xenografts

Identifiers

PMID34090508
PMCPMC8178911

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.