Researchers Open ‘Pandora’s Box’ of Potential Cancer Biomarkers

Newswise — ANN ARBOR, Mich. — A new analysis opens the door to discovery of thousands of potential new cancer biomarkers.

Researchers at the University of Michigan Comprehensive Cancer Center analyzed the global landscape of a portion of the genome that has not been previously well-explored – long non-coding RNAs. This vast portion of the human genome has been considered the dark matter because so little is known about it. Emerging new evidence suggests that lncRNAs may play a role in cancer and that understanding them better could lead to new potential targets for improving cancer diagnosis, prognosis or treatment.

“We know about protein-coding genes, but that represents only 1-2 percent of the genome. Much less is known about the biology of the non-coding genome in terms of how it might function in a human disease like cancer,” says senior study author Arul M. Chinnaiyan, M.D., Ph.D., director of the Michigan Center for Translational Pathology and S.P. Hicks Professor of Pathology at the University of Michigan Medical School.

The researchers pulled together 25 independent datasets totaling 7,256 RNA sequencing samples. The data was from public sources such as The Cancer Genome Atlas project, as well as from the Michigan Center for Translational Pathology’s archives. They applied high-throughput RNA sequencing technology to identify more than 58,000 lncRNA genes across normal tissue and a range of common cancer types.

Results of the study appear online in Nature Genetics.

“We used all of this data to decipher what the genomic landscape looks like in different tissues as well as in cancer,” Chinnaiyan says. “This opens up a Pandora’s box of all kinds of lncRNAs to investigate for biomarker potential.”

The complete dataset, named the MiTranscriptome compendium, has been made available on a public website, www.mitranscriptome.org, for the scientific community to explore.

The researchers also identified one lncRNA, SChLAP1, as a potential biomarker for aggressive prostate cancer. SChLAP1 was more highly expressed in metastatic prostate cancer than in early stage disease. SChLAP1 was found primarily in prostate cancer cells, not in other cancers or normal cells, which gives researchers hope that a non-invasive test could be developed to detect SChLAP1. Such a test could be used to help patients and their doctors make treatment decisions for early stage prostate cancer.

“Some long non-coding RNAs tend to be exquisitely specific for cancer, while protein-coding genes are often not. That’s what makes lncRNAs a very promising target for developing biomarkers,” Chinnaiyan says. “We hope that researchers will investigate the MiTransciptome compendium and begin to nominate lncRNAs for further study and development. It’s likely that only a subset of these have true function but as a previously untapped area, it holds great promise.”

Additional authors: Matthew K. Iyer, Yashar S. Niknafs, Rohit Malik, Udit Singhal, Anirban Sahu, Yasuyuki Hosono, Terrence R. Barrette, John R. Prensner, Joseph R. Evans, Shuang Zhao, Anton Poliakov, Xuhong Cao, Saravana M. Dhanasekaran, Yi-Mi Wu, Dan R. Robinson, David G. Beer, Felix Y. Feng, Hariharan K. Iyer

Funding: National Cancer Institute grants P50 CA69568, U01 CA111275, R01 CA132874, R01 CA154365, Department of Defense grants PC100171 and W81XWH-13-1-0284, Prostate Cancer Foundation, Howard Hughes Medical Institute, American Cancer Society, A. Alfred Taubman Medical Research Institute

Disclosure: Oncomine is supported by ThermoFisher Inc., previously Life Technologies and Compendia Biosciences. Chinnaiyan was a co-founder of Compendia Biosciences and served on the scientific advisory board of Life Technologies before it was acquired.

Reference: Nature Genetics, doi: 10.1038/ng.3192 published online Jan. 19, 2015

Related:MiTranscriptome: www.mitranscriptome.org

Resources:U-M Cancer AnswerLine, 800-865-1125U-M Comprehensive Cancer Center, www.mcancer.orgClinical trials at U-M, www.mcancer.org/clinicaltrialsmCancerTalk blog, http://uofmhealthblogs.org/cancer

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