Letter abstract

Nature Biotechnology 25, 675 - 680 (2007)
Published online: 21 May 2007 | doi:10.1038/nbt1306

Decoding global gene expression programs in liver cancer by noninvasive imaging

Eran Segal1, Claude B Sirlin2, Clara Ooi4, Adam S Adler5, Jeremy Gollub6, Xin Chen8, Bryan K Chan2, George R Matcuk7, Christopher T Barry3, Howard Y Chang5 & Michael D Kuo2


Paralleling the diversity of genetic and protein activities, pathologic human tissues also exhibit diverse radiographic features. Here we show that dynamic imaging traits in non-invasive computed tomography (CT) systematically correlate with the global gene expression programs of primary human liver cancer. Combinations of twenty-eight imaging traits can reconstruct 78% of the global gene expression profiles, revealing cell proliferation, liver synthetic function, and patient prognosis. Thus, genomic activity of human liver cancers can be decoded by noninvasive imaging, thereby enabling noninvasive, serial and frequent molecular profiling for personalized medicine.

  1. Dept. of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
  2. Dept. of Radiology, University of California at San Diego, 200 W. Arbor Dr., San Diego, California 92103, USA.
  3. Dept. of Surgery, University of California at San Diego, 200 W. Arbor Dr., San Diego, California 92103, USA.
  4. Dept. of Radiology, University of Hong Kong, 21 Sasson Road, Pokfulam, Hong Kong DAR, China.
  5. Program in Epithelial Biology, 269 Campus Dr., Stanford, CCSR2155c, California 94305, USA.
  6. Dept. of Biochemistry, 279 Campus Dr., Stanford, California 94305, USA.
  7. Dept. of Radiology, University of Southern California, 1200 N. State St., Los Angeles, California 90033, USA.
  8. Dept. of Biopharmaceutical Science, University of California at San Francisco, 513 Parnassus Ave., San Francisco, California 94143, USA.

Correspondence to: Michael D Kuo2 e-mail: mkuo@ucsd.edu

Correspondence to: Howard Y Chang5 e-mail: howchang@stanford.edu