Navigation Links
Mayo Clinic: Gene expression profiling not quite perfected in predicting lung cancer prognosis

While there have been significant advances in the use of gene expression profiling to assess a cancer prognosis, a Mayo Clinic review and analysis of existing lung cancer studies shows that this technology has not yet surpassed the accuracy of conventional methods used to assess survival in lung cancer patients.

The interest in and the knowledge of gene expression profiling in medical science has exploded since the completion of the human genome project in 2003. Researchers caution that the science of gene expression profiling, in which scientists examine the genetic signature of a cell, is in its infancy, particularly in lung cancer.

"Growing evidence suggests that gene-based prediction is not stable and little is known about the prediction power of a gene expression profile as compared to well-known clinical and pathologic predictors," according to Ping Yang, M.D., Ph.D., the corresponding author of the study that appears in the November issue of Cancer Epidemiology, Biomarkers and Prevention (CEBP). The study's first author is Zhifu Sun, M.D., a research associate with the Department of Health Sciences Research at Mayo Clinic.

Dr. Yang, a researcher with Mayo Clinic's Department of Health Sciences, said that while gene expression profiling has been successfully used to classify various tumors and assess tumor stage, metastasis and patient survival rates, the evidence suggests that gene-based prediction for lung cancer is not yet entirely dependable. However, some results have been promising: gene profiling has reliably predicted patient survival for lung adenocarcinoma almost as well as established predictors.

The results of conventional methods that factor in age, gender, stage, cell type and tumor grade outweigh the predictive advantage of a gene expression profile. "Any new technique that does not significantly outperform less expensive and easily conducted approaches is less likely to be useful in clinical practice," the authors wrote.

Few studies have compared conventional methods of lung cancer prediction with gene profiling. It remains to be seen whether gene expression profiling of lung cancer cases can replace or augment the existing assessment tools and, furthermore, whether it can lead to improved patient care.

In terms of problems associated with gene expression profiling in lung cancer research, the authors found:

  • The accuracy of gene expression-based outcome prediction varies greatly among studies.
  • Most studies lacked independent validation.
  • Clinical outcome prediction between gene expression profiles and pathological features overlap significantly.
  • Current analytical algorithms favor genes at high expression or genes highly differentially expressed, most of which are related to tumor differentiation and may not correlate with clinical outcomes; conversely, genes expressed at low levels or in a subtle difference are often overlooked, which may be quite relevant biologically to clinical questions.

The authors of the study recommend that medical scientists engaged in gene expression profiling should:

  • Clearly define a study aim. The main focus in microarray studies should explore the molecular explanations for varied clinical outcomes given a group of patients with similar clinical and pathological characteristics.
  • Lay out and compare alternative study designs
  • Carefully select samples in terms of size, quality and unambiguous clinical outcomes
  • Understand the limitations of DNA microarray
  • Provide clinically relevant interpretation from the study results and address the value added in practice


'"/>

Source:Mayo Clinic


Related biology news :

1. Alcohols effects on gene expression in the central nervous system
2. Carnegie Mellon scientists develop tool that uses MRI to visualize gene expression in living animals
3. Towards precise classification of cancers based on robust gene functional expression profiles
4. Expression Project for Oncology (expO) completes first phase of standardized gene expression analyses
5. Study: homemade gene expression technology unreliable
6. Cooperation is key—a new way of looking at MicroRNA and how it controls gene expression
7. Agilent Technologies releases probe sequence, annotation information for all its commercial gene expression microarrays
8. Multiple-drug resistant gene expression pattern predicts treatment outcome for pediatric leukemia
9. Computational verification of protein-protein interactions by orthologous co-expression
10. Random gene expression may drive HIV into hiding
11. Confirmation of human protein interaction data by human expression data
Post Your Comments:
*Name:
*Comment:
*Email:


(Date:6/15/2016)... 15, 2016 Transparency Market ... Recognition Market by Application Market - Global Industry Analysis Size ... to the report, the  global gesture recognition market ... and is estimated to grow at a CAGR ... 2024.  Increasing application of gesture recognition ...
(Date:6/2/2016)... LONDON , June 2, 2016 ... has awarded the 44 million US Dollar project, ... Security Embossed Vehicle Plates including Personalization, Enrolment, and IT Infrastructure ... world leader in the production and implementation of Identity Management ... in January, however Decatur was selected ...
(Date:5/20/2016)...  VoiceIt is excited to announce its new ... By working together, VoiceIt and VoicePass will offer ... take slightly different approaches to voice biometrics, collaboration ... usability. Both ... "This marketing and technology partnership allows ...
Breaking Biology News(10 mins):
(Date:6/23/2016)... ... June 23, 2016 , ... ClinCapture, the only free ... and will showcase its product’s latest features from June 26 to June 30, ... poster on Disrupting Clinical Trials in The Cloud during the conference. DIA ...
(Date:6/23/2016)... Windsor, Connecticut (PRWEB) , ... June 23, 2016 ... ... will introduce a new line of intelligent tools designed, tuned and optimized exclusively ... place September 12–17 in Chicago. The result of a collaboration among several companies ...
(Date:6/23/2016)... PUNE, India , June 23, 2016 /PRNewswire/ ... culture media market research report to its pharmaceuticals ... company profiles, product details and much more. ... market spread across 151 pages, profiling 15 companies ... now available at http://www.reportsnreports.com/reports/601420-global-cell-culture-media-industry-2016-market-research-report.html . ...
(Date:6/22/2016)... Research and Markets has announced the addition of the ... The global biomarkers market ... 2013. The market is expected to grow at a five-year compound ... from $50.6 billion in 2015 to $96.6 billion in 2020. ... (2015 to 2020) are discussed. As well, new products approved in ...
Breaking Biology Technology: