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International Journal of Oncology
Article
License: CC BY NC ND
Data sources: UnpayWall
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PubMed Central
Article . 2016
Data sources: PubMed Central
International Journal of Oncology
Article . 2016 . Peer-reviewed
Data sources: Crossref
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Potential screening and early diagnosis method for cancer: Tongue diagnosis

Authors: HAN, SHUWEN; YANG, XI; QI, QUAN; PAN, YUEFEN; CHEN, YONGCHAO; SHEN, JUNJUN; LIAO, HAIHONG; +1 Authors

Potential screening and early diagnosis method for cancer: Tongue diagnosis

Abstract

Tongue diagnosis, as a unique method of traditional Chinese medicine (TCM), was used to discriminate physiological functions and pathological conditions by observing the changes of the tongue and tongue coating. The aims of the present study were to explore a potential screening and early diagnosis method of cancer through evaluating the differences of the images of tongue and tongue coating and the microbiome on the tongue coating. The DS01-B tongue diagnostic information acquisition system was used to photograph and analyze the tongue and tongue coating. The next-generation sequencing technology was used to determine the V2-V4 hypervariable regions of 16S rDNA to investigate the microbiome on the tongue coating. Bioinformatics and statistical methods were used to analyze the microbial community structure and diversity. Comparing with the healthy people, the number of mirror-like tongue, thick tongue coating and the moisture of tongue were increased in cancers. The dominant color of the tongue in the healthy people was reddish while it was purple in the cancers. The relative abundance of Neisseria, Haemophilus, Fusobacterium and Porphyromonas in the healthy people were higher than that in the cancers. We also found 6 kinds of special microorganisms at species level in cancers. The study suggested that tongue diagnosis may provide potential screening and early diagnosis method for cancer.

Related Organizations
Keywords

Male, Microbiota, Computational Biology, Articles, Middle Aged, Tongue, Case-Control Studies, Neoplasms, RNA, Ribosomal, 16S, Humans, Female, Medicine, Chinese Traditional, Early Detection of Cancer

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
83
Top 1%
Top 10%
Top 10%
Green
hybrid