Evidence map›Paper›PMID 30498674›Full record

Article3 Biotech2018

Tumor-like lung cancer model based on 3D bioprinting.

Xiong Wang, Xinzhi Zhang, Xingliang Dai, Xuanzhi Wang, Xinda Li, Jinfu Diao, Tao Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in 3 Biotech, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

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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

7 authors.

Xiong Wang1Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084 China.
Xinzhi Zhang1Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084 China.
Xingliang Dai3The Second Affiliated Hospital of Soochow University, Suzhou, 215004 China.
Xuanzhi Wang3The Second Affiliated Hospital of Soochow University, Suzhou, 215004 China.
Xinda Li1Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084 China.
Jinfu Diao4Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050 China.
Tao Xu1Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, there is still a lack of appropriate in vitro model for studying lung cancers, especially for recapitulating their invasion and metastasis properties. To develop an appropriate in vitro model for lung cancer research, low-temperature molding principle of biological manufacturing and 3D bioprinting was used in this study to fabricate a cell-laden hydrogel grid scaffold structure, using gelatin-sodium alginate-lung cancer cell A549/95-D suspension as the bio-ink. Cells distributed evenly in this model with high viability, and can be cultured sustainably. This model can be cultured for up to 28 days and maintained its structural integrity. Histology, gene analysis, and scratch test showed that 3D printed cells had enhanced invasion and migration capability compared to those cultured in 2D environment, indicating that the in vitro model developed in this study was more biomimetic compared to 2D models, and it is highly valuable in biomedical research.

Indexed as

3D bioprintingInvasion and metastasisLung cancerTumor model

Identifiers

PMID30498674
PMCPMC6258569

What OpenQuestion holds

Textmetadata
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.