Evidence map›Paper›PMID 37884976›Full record

ReviewWorld journal of surgical oncology2023

Breast cancer organoids and their applications for precision cancer immunotherapy.

Dandan Guan, Xiaozhen Liu, Qingyang Shi, Bangjie He, Chaopeng Zheng, Xuli Meng

Abstract readReview
In one paragraph

Review in World journal of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
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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

6 authors.

Dandan GuanCollege of Medicine, Soochow University, Soochow, China.
Xiaozhen LiuGeneral Surgery, Department of Breast Surgery, Cancer Center, Zhejiang Provincial People's Hospital, Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
Qingyang ShiDepartment of Urology, Haining Central Hospital, Haining Branch of Zhejiang Provincial People's Hospital, Jiaxing, Zhejiang, China.
Bangjie HeDepartment of General Surgery, Traditional Chinese Medicine Hospital of Zhuji, Zhuji, Zhejiang, China.
Chaopeng ZhengZhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xuli MengGeneral Surgery, Department of Breast Surgery, Cancer Center, Zhejiang Provincial People's Hospital, Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China. mxlmail@126.com.

Funding

General project of Zhejiang Provincial Education Department of China Y202249272Zhejiang Medical Science and Technology Project of China 2021KY544, 2020KY461Zhejiang Provincial Administration of Traditional Chinese Medicine of China 2022ZQ013
6 · The paper itself

Abstract

Immunotherapy is garnering increasing attention as a therapeutic strategy for breast cancer (BC); however, the application of precise immunotherapy in BC has not been fully studied. Further studies on BC immunotherapy have a growing demand for preclinical models that reliably recapitulate the composition and function of the tumor microenvironment (TME) of BC. However, the classic two-dimensional in vitro and animal in vivo models inadequately recapitulate the intricate TME of the original tumor. Organoid models which allow the regular culture of primitive human tumor tissue are increasingly reported that they can incorporate immune components. Therefore, organoid platforms can be used to replicate the BC-TME to achieve the immunotherapeutic reaction modeling and facilitate relevant preclinical trial. In this study, we have investigated different organoid culture methods for BC-TME modeling and their applications for precision immunotherapy in BC.

Indexed as

Breast NeoplasmsNeoplasmsAnimalsFemaleHumansImmunotherapyOrganoidsTumor MicroenvironmentBreast cancerImmunotherapyOrganoidTumor microenvironment

Identifiers

PMID37884976
PMCPMC10601270

What OpenQuestion holds

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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.