Evidence map›Paper›PMID 35986387›Full record

ReviewCell & bioscience2022

Urological cancer organoids, patients' avatars for precision medicine: past, present and future.

Haotian Chen, Wentao Zhang, Niraj Maskey, Fuhan Yang, Zongtai Zheng, Cheng Li, Ruiliang Wang, Pengfei Wu, Shiyu Mao, Junfeng Zhang and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in Cell & bioscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 10 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

13 authors at 1 institution in 1 country.

Haotian Chen *Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Wentao Zhang *Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Niraj MaskeyDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Fuhan YangDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Zongtai ZhengUrologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China.
Cheng LiDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Ruiliang WangDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Pengfei WuDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Shiyu MaoDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Junfeng ZhangDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Yang YanDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China. 13564368328@163.com.
Wei LiDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China. liweitongji@163.com.
Xudong YaoDepartment of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China. yaoxudong1967@163.com.ORCID http://orcid.org/0000-0001-7234-3940
Tongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urological cancers are common malignant cancers worldwide, with annually increasing morbidity and mortality rates. For decades, two-dimensional cell cultures and animal models have been widely used to study the development and underlying molecular mechanisms of urological cancers. However, they either fail to reflect cancer heterogeneity or are time-consuming and labour-intensive. The recent emergence of a three-dimensional culture model called organoid has the potential to overcome the shortcomings of traditional models. For example, organoids can recapitulate the histopathological and molecular diversity of original cancer and reflect the interaction between cancer and surrounding cells or stroma by simulating tumour microenvironments. Emerging evidence suggests that urine-derived organoids can be generated, which could be a novel non-invasive liquid biopsy method that provides new ideas for clinical precision therapy. However, the current research on organoids has encountered some bottlenecks, such as the lack of a standard culture process, the need to optimize the culture medium and the inability to completely simulate the immune system in vivo. Nonetheless, cell co-culture and organoid-on-a-chip have significant potential to solve these problems. In this review, the latest applications of organoids in drug screening, cancer origin investigation and combined single-cell sequencing are illustrated. Furthermore, the development and application of organoids in urological cancers and their challenges are summarised.

Indexed as

Organoid applicationsOrganoid challengesOrganoidsPersonalized medicineUrological cancer

Identifiers

PMID35986387
PMCPMC9389738
OpenAlexW4292372621

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.