Researchers find genetic marker for repeat lung cancer

Aug 19, 2010

Current lung cancer survival statistics present a grim prognosis, but new findings could greatly impact survival rates. Researchers led by Lan Guo, Ph.D. at the West Virginia University Mary Babb Randolph Cancer Center have identified a gene pattern associated with lung cancer patients who are at high risk for recurrence of the disease.

Lung cancer recurs in nearly half of early stage patients who initially receive surgery, usually proving fatal. If doctors could predict whose cancer will come back, they could develop a more individualized, effective treatment strategy for each patient.

The team of WVU researchers has determined that a specific sequence of 12 genes can be used as a prognostic tool. Their work “Hybrid Models Identified a 12-Gene Signature for Lung Cancer Prognosis and Chemoresponse Prediction” haa been published in the August 17 edition of , an international, peer-reviewed, online publication of the U.S. Public Library of Science.

“Using a computational model to analyze 442 patient samples, we found that the 12-gene signature was more accurate in predicting lung cancer recurrence than other gene signatures documented in articles previously published in the ‘’ and ‘Nature Medicine’,” Dr. Guo said. “We also found that the could predict response to chemotherapy in cancer cell lines, indicating its potential use to predict patient response to chemotherapy commonly used to treat lung cancer.”

WVU has filed for a patent on the 12-gene signature. Guo’s group has already been successful in identifying specific genes found in lung cancer tumors.

Guo is a faculty member of the WVU Department of Community Medicine and part of the Center of Biomedical Research Excellence (COBRE) for Signal Transduction and Cancer, led by Laura Gibson, Ph.D., the Cancer Center’s deputy director.

Explore further: Taking the guesswork out of cancer therapy

More information: To view the research online see

Provided by West Virginia University

not rated yet
add to favorites email to friend print save as pdf

Related Stories

Gene signature may improve colon cancer treatment

Feb 26, 2010

A gene signature, first identified in mouse colon cancer cells, may help identify patients at risk of colon cancer recurrence, according to a recent study by Vanderbilt-Ingram Cancer Center researchers.

Researchers develop new method to test for lung cancer

Apr 01, 2008

Researchers from Boston University School of Medicine have developed a new “clinicogenomic model” to accurately test for lung cancer. The model combines a specific gene expression for lung cancer as well as clinical ...

Recommended for you

Pepper and halt: Spicy chemical may inhibit gut tumors

1 hour ago

Researchers at the University of California, San Diego School of Medicine report that dietary capsaicin – the active ingredient in chili peppers – produces chronic activation of a receptor on cells lining ...

Expressive writing may help breast cancer survivors

3 hours ago

Writing down fears, emotions and the benefits of a cancer diagnosis may improve health outcomes for Asian-American breast cancer survivors, according to a study conducted by a researcher at the University of Houston (UH).

Taking the guesswork out of cancer therapy

8 hours ago

Researchers and doctors at the Institute of Bioengineering and Nanotechnology (IBN), Singapore General Hospital (SGH) and National Cancer Centre Singapore (NCCS) have co-developed the first molecular test ...

Brain tumour cells found circulating in blood

9 hours ago

(Medical Xpress)—German scientists have discovered rogue brain tumour cells in patient blood samples, challenging the idea that this type of cancer doesn't generally spread beyond the brain.

International charge on new radiation treatment for cancer

10 hours ago

(Medical Xpress)—Imagine a targeted radiation therapy for cancer that could pinpoint and blast away tumors more effectively than traditional methods, with fewer side effects and less damage to surrounding tissues and organs.

User comments : 0