Identification of genes regulating colorectal carcinogenesis by using the algorithm for diagnosing malignant state method

Yasushi Ichikawa, Takashi Ishikawa, Shinji Takahashi, Youhei Hamaguchi, Tomoyuki Morita, Itaru Nishizuka, Shigeki Yamaguchi, Itaru Endo, Hideyuki Ike, Shinji Togo, Shigeo Oki, Hiroshi Shimada, Koji Kadota, Shugo Nakamura, Hitoshi Goto, Hiroyuki Nitanda, Susumu Satomi, Takehito Sakai, Ichiei Narita, Fumitake GejyoYasuhiro Tomaru, Kentaro Shimizu, Yoshihide Hayashizaki, Yasushi Okazaki

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


We studied the expression profiles of various stages of colorectal tumors (adenoma (AD), seven samples; carcinoma (CA), 16 samples) by using cDNA microarrays and developed ADMS (algorithm for diagnosing malignant state) method, selecting 335 clones characteristic of CA state. We, then, applied ADMS to 12 additional samples (five from primary lesions with metastasis and seven metastases); all 16 CAs and 12 metastatic tumors were diagnosed correctly as cancerous states. Although three of the seven ADs were diagnosed as "cancerous," the large size of two of these tumors suggested their potential malignancy. Our strategy for selecting clones characteristic of the malignant state is widely applicable to diagnosis and for predicting the stage of progression during multistep carcinogenesis. Of the 335 clones we selected, 135 were known genes. Included in the 135 genes were tumor suppressor and growth factor-related genes and were consistent with the literature. ADMS is a reliable means for identifying genes useful for the diagnosis of cancer.

Original languageEnglish
Pages (from-to)497-506
Number of pages10
JournalBiochemical and biophysical research communications
Issue number2
Publication statusPublished - 2002
Externally publishedYes


  • Colorectal cancer
  • DNA microarray
  • Gene expression profiling
  • Malignancy diagnosis
  • Molecular classification

ASJC Scopus subject areas

  • Biophysics
  • Biochemistry
  • Molecular Biology
  • Cell Biology


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