Evidence map›Paper›PMID 35541903›Full record

ReviewInternational journal of biological sciences2022

Organoids in recapitulating tumorigenesis driven by risk factors: Current trends and future perspectives.

Jie Zhang, Lei Wang, Qianqian Song, Mingbing Xiao, Jie Gao, Xiaolei Cao, Wenjie Zheng

Abstract readReview
In one paragraph

Review in International journal of biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. The Potential Role ofMicroorganisms · 2025
    Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Identification of acetyl-CoA carboxylase alpha as a prognostic and targeted candidate for hepatocellular carcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Article
  10. Review
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.

Jie ZhangResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, 20 Xisi Road, 226001 Nantong, Jiangsu, China.
Lei WangResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, 20 Xisi Road, 226001 Nantong, Jiangsu, China.
Qianqian SongDepartment of Radiology, Wake Forest School of Medicine, One Medical Center Boulevard, Winston-Salem, 27157 NC, USA.
Mingbing XiaoResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, 20 Xisi Road, 226001 Nantong, Jiangsu, China.
Jie GaoSchool of Medicine, Nantong University, 19 Qixiu Road, 226001 Nantong, Jiangsu, China.
Xiaolei CaoSchool of Medicine, Nantong University, 19 Qixiu Road, 226001 Nantong, Jiangsu, China.
Wenjie ZhengResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, 20 Xisi Road, 226001 Nantong, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental and exogenous/ endogenous factors, in a setting of individual genetic predisposition, contribute to the cancer development. Over the years, epidemical evidence increasingly highlights the correlations of multiple cancer incentives and genetic alterations with cancer incidence. Unraveling the pivotal carcinogenesis events prompted by particular risk factors remarkably advances early surveillance and oncogenesis intervening. Traditional cell-based models and animal-based models are unrealistic and unreliable for translational study, respectively ascribing to the limited tumor heterogeneity and species-related variation. Organoid emerged as a fidelity model that well preserves the properties of its origin. With inherent quality of holistic perspective, organoid is therefore ideally suited for delineating the carcinogenesis under risk exposure, in favor of understanding pathogen-host interactions and alleviating cancer initiation. In this review, we have summarized the organoid model-based evidence that identified or validated carcinogenic risks, mainly including diet, aging, microbial infection, and chemical exposure. In addition, we envisioned the exciting prospect of organoid model in screening promising treatment and/or prevention during tumorigenesis. As a robust 3D

Indexed as

NeoplasmsOrganoidsAnimalsCarcinogenesisCell Transformation, NeoplasticHost-Pathogen InteractionsCarcinogenesisOrganoidProspect outlookRisk factorsRobust model

Identifiers

PMID35541903
PMCPMC9066109

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.