Evidence map›Paper›PMID 23420461›Full record

ArticleOncology letters2013

An engineered three-dimensional gastric tumor culture model for evaluating the antitumor activity of immune cells in vitro.

Peiming Sun, Yingxin Xu, Xiaohui DU, Ning Ning, Huiwei Sun, Wentao Liang, Rong Li

Abstract read
In one paragraph

Article in Oncology letters, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Engineering cancer microenvironments forMaterials today (Kidlington, England) · 2015
    Article
  7. Combined therapy with CTL cells and oncolytic adenovirus expressing IL-15-induced enhanced antitumor activity.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
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.

Peiming SunInstitute of General Surgery, Chinese PLA General Hospital, Haidian, Beijing 100853, P.R. China.
Yingxin Xu
Xiaohui DU
Ning Ning
Huiwei Sun
Wentao Liang
Rong Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monolayer tumor culture models have been used for evaluating the antitumor activity of immune cells in vitro. However, their value in this research is limited. We used human gastric cancer cells (BGC823) and collagen hydrogel as a matrix to establish an engineered three-dimensional (3-D) tumor culture model in vitro. Tumor cells grew in 3-D culture and formed spheroids in the collagen matrix. Evaluation of the antitumor activity of cytokine-induced killer (CIK) cells revealed that, compared with the 2-D cell culture models, CIK cells migrated towards the tumor cells and destroyed the spheroids and tumor cells in the engineered 3-D tumor culture model. The cytotoxicity of CIK cells against the tumor cells in the engineered 3-D tumor culture model was lower than that in 2-D tumor culture models at 12-36 h post-interaction, but there was no significant difference in the cytotoxicity at later time points. Further analysis indicated that dendritic cell-activated CIK cells had a significantly higher level of cytotoxicity against tumor cells, compared with CIK and anti-CEA/CD3-treated CIK cells, in the engineered 3-D tumor culture model. Our data suggest that the engineered 3-D gastric tumor culture model may better mimic the interaction of immune cells with tumor cells in vivo than the 2-D tumor culture models, and may be used for evaluating the antitumor activity of immune cells in vitro.

Indexed as

antitumor activitygastric cancerimmune cellsthree-dimensional culturetumor model

Identifiers

PMID23420461
PMCPMC3573075

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Registered trials

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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.