Malignant Tumor of Small Intestine Metastatic to Liver Clinical Trial
Official title:
Study of "Same TCM Syndrome for Different Diseases" and "Same Treatment for Different Diseases" of Primary Hepatocellular Carcinoma and Colorectal Cancer Under the Perspective of System Science
Traditional Chinese medicine (TCM) syndrome is a core foundation of disease knowledge,
clinical diagnosis and treatment and curative effect evaluation in TCM. "Same TCM Syndrome
for Different Diseases" and "Same Treatment for Different Diseases" is one of the
characteristics of TCM syndrome differentiation and treatment.
This study is the "TCM disease syndrome combination" research baced on principles and
methods of system biology, which is through acquisition of primary hepatocellular carcinoma
(HCC) and colorectal cancer patients with TCM syndrome information, detection of clinical
indicators and genomic, proteomic, and metabolites changes, analyzing the correlation
between TCM syndromes and biological information, and revealing its biological material
characteristics and the molecular mechanisms of "Same TCM Syndrome for Different
Diseases";Developing and implementing the program of TCM syndrome differentiation and
treatment for HCC and colorectal cancer to evaluate the efficacy of TCM syndrome
based-treatment of HCC and colorectal cancer with TCM syndrom scores, clinical and systems
biological indicators, quality of life and survival rate, and to revealing the mechanism of
the "Same Treatment for Different Diseases".
Traditional Chinese medicine (TCM) syndrome is a core foundation of disease knowledge,
clinical diagnosis and treatment and curative effect evaluation in TCM. "Same TCM Syndrome
for Different Diseases" and "Same Treatment for Different Diseases" is one of the
characteristics of TCM syndrome differentiation and treatment.
In this study, the investigators adopted the transcriptome analysis, proteome analysis and
metabolic diversity analysis of the patients with different syndromes of liver cancer and
colorectal cancer, and integrate omics information, combining macro and micro methods to
screen biomarkers of syndromes
;