Evidence map›Paper›PMID 22419943›Full record

ArticleArchives of medical science : AMS2010

A survey on the distribution of healthy people with different anti-tumour ability.

Yanhong Gao, Xiaolan Xu, Zhennan Dong, Chaoguang Jiang, Jin Gao, Jinchuan Hu, Junhao Gui, Haibao Wang, Yaping Tian

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Construction of eukaryotic expression vector of TSLC1 gene.Archives of medical science : AMS · 2011
    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

9 authors.

Yanhong GaoDepartment of Clinical Biochemistry, Chinese PLA General Hospital, China.
Xiaolan Xu
Zhennan Dong
Chaoguang Jiang
Jin Gao
Jinchuan Hu
Junhao Gui
Haibao Wang
Yaping Tian

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe aim of the study was to explore the distribution of healthy people with different anti-tumour ability. MATERIAL AND

methodsLeukocytes were separated by the Ficoll-Hypaque density gradient centrifugal method. Then they were mixed with A549, MCF-7 and Hela cells at different ratios. The survival rate for target cells was observed and counted by Fluoroskan. Immune function for 200 healthy people was analysed by flow cytometry.

resultsThe results obtained by confocal microscopy revealed that human blood leukocytes possessed direct anti-tumour activity. The survival rate for tumour cells was the lowest in the condition of 20:1 ratio of effector cells to target cells. We speculated that in 200 healthy people the leukocyte capacity for killing MCF-7 cells is stronger than the leukocyte capacity for killing A549 cells and Hela cells. We also found that the distribution for 200 healthy people with different anti-tumour ability was different for different tumour cells. The number of healthy people with the strongest anti-tumour ability was highest when the target cells were MCF-7 cells. Moreover, the survival of A549, MCF-7 and Hela cells was correlated with T, B and NK lymphocytes.

conclusionsFrom the above, we can select healthy individuals with strong anti-tumour ability as anti-tumour donors according to their distribution with different anti-tumour ability, which opened up a new direction for fighting human cancer.

Indexed as

distributionhealthy peopleinnate immunityleukocytespolymorphonuclear leucocytestumour

Identifiers

PMID22419943
PMCPMC3298353

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Registered trials

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