“Non-small cell lung cancer, which accounts for about 80 percent of all lung cancers, has a high rate of recurrence even when treated early,” said lead researcher William Bulman, M.D. “If we knew specifically in which patients the cancer was likely to come back, we could recommend more aggressive therapy to those patients.” Dr. Bulman noted that genetic signatures for breast cancer are already commercially available and are used by physicians to guide treatment recommendations.
Dr. Bulman and his colleagues, Drs. Charles Powell and Alain Borczuk, tested five survival gene signatures in 21 patients, with squamous or adenocarinoma tumors who were followed for up to two years after their surgery. The accuracy of the tested signatures ranged from 40 to 80 percent and varied with the type of tumor. A 42-gene signature, for instance, was 82 percent accurate in predicting survival with lung adenocarcinoma, but only 70 percent accurate in predicting survival with squamous cell carcinoma.
“Lung cancer is a heterogeneous disease, and information captured in these tests helps to distinguish tumors in terms of clinical outcomes.” explained Dr. Bulman. “Our findings not only indicate that genetic signatures have clinical utility in personalizing the treatment of lung cancer, but also that it may be necessary to use different gene-based risk predictors with different tumor subtypes.”
Dr. Bulman noted that this research is part of a larger effort to understand the biological basis for why some early stage lung cancers progress and metastasize and why some do not. He added that he and his colleagues are planning to test these genetic signatures in new cohorts of patients for the purposes of targeting patients at high risk for recurrence.
Keely Savoie | EurekAlert!
Climate Impact Research in Hannover: Small Plants against Large Waves
17.08.2018 | Leibniz Universität Hannover
First transcription atlas of all wheat genes expands prospects for research and cultivation
17.08.2018 | Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung
New design tool automatically creates nanostructure 3D-print templates for user-given colors
Scientists present work at prestigious SIGGRAPH conference
Most of the objects we see are colored by pigments, but using pigments has disadvantages: such colors can fade, industrial pigments are often toxic, and...
Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...
Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
Proteins must be folded correctly to fulfill their molecular functions in cells. Molecular assistants called chaperones help proteins exploit their inbuilt folding potential and reach the correct three-dimensional structure. Researchers at the Max Planck Institute of Biochemistry (MPIB) have demonstrated that actin, the most abundant protein in higher developed cells, does not have the inbuilt potential to fold and instead requires special assistance to fold into its active state. The chaperone TRiC uses a previously undescribed mechanism to perform actin folding. The study was recently published in the journal Cell.
Actin is the most abundant protein in highly developed cells and has diverse functions in processes like cell stabilization, cell division and muscle...
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