Research Topics
| Nancy Lan GuoSummaryAffiliation: West Virginia University Country: USA Publications
Research Grants
| Collaborators
|
Detail Information
Publications
Pathway-based identification of a smoking associated 6-gene signature predictive of lung cancer risk and survivalNancy Lan Guo
Department of Community Medicine, West Virginia University, Morgantown, WV 26506, USA
Artif Intell Med 55:97-105. 2012..This study sought to identify a smoking associated gene signature in order to provide a more precise diagnosis and prognosis of lung cancer in smokers...- A novel network model identified a 13-gene lung cancer prognostic signatureNancy Lan Guo
Mary Babb Randolph Cancer Centre, Department of Community Medicine, West Virginia University, Morgantown, WV 26506 9300, USA
Int J Comput Biol Drug Des 4:19-39. 2011..Using this approach, a 13-gene lung cancer prognosis signature was identified, which generated significant prognostic stratifications (log-rank P < 0.05) in Director's Challenge Study (n = 442)... 
Constructing molecular classifiers for the accurate prognosis of lung adenocarcinomaLan Guo
Mary Babb Randolph Cancer Center, Department of Community Medicine, West Virginia University, Morgantown, West Virginia 26506 9300, USA
Clin Cancer Res 12:3344-54. 2006..Here, we propose a computational model system which accurately predicts the clinical outcome of individual patients based on their gene expression profiles...- Impact and interactions between smoking and traditional prognostic factors in lung cancer progressionNancy L Guo
Mary Babb Randolph Cancer Center Department of Community Medicine, West Virginia University, Morgantown, WV 26506 9300, USA
Lung Cancer 66:386-92. 2009..We sought to investigate the effect of smoking intensity on lung cancer treatment failure (represented by overall survival), and the interactions between smoking and clinicopathological factors in lung cancer progression... - Confirmation of gene expression-based prediction of survival in non-small cell lung cancerNancy L Guo
Mary Babb Randolph Cancer Center, West Virginia University, Morgantown, West Virginia 26506 9300, USA
Clin Cancer Res 14:8213-20. 2008..Accurate gene expression signatures are needed to classify patients into high- and low-risk groups to improve the selection of patients for adjuvant therapy... - Individualized survival and treatment response predictions for breast cancers using phospho-EGFR, phospho-ER, phospho-HER2/neu, phospho-IGF-IR/In, phospho-MAPK, and phospho-p70S6K proteinsL Guo
MBR Cancer Center Department of Community Medicine, West Virginia University, Morgantown, West Virginia 26505, USA
Int J Biol Markers 22:1-11. 2007..The prediction system combines multiple signal protein activation profiles and relevant clinical information, and provides a unique guideline to aid individualized decision-making in the clinical management of breast cancer... - Hybrid models identified a 12-gene signature for lung cancer prognosis and chemoresponse predictionYing Wooi Wan
Mary Babb Randolph Cancer Center, West Virginia University, Morgantown, West Virginia, United States of America
PLoS ONE 5:e12222. 2010..The recurrence rate ranges from 35-50% among early stage non-small cell lung cancer patients. To date, there is no fully-validated and clinically applied prognostic gene signature for personalized treatment... - A breast cancer prognostic signature predicts clinical outcomes in multiple tumor typesYing Wooi Wan
Mary Babb Randolph Cancer Center Community Medicine, West Virginia University, Morgantown, WV 26506 9300, USA
Oncol Rep 24:489-94. 2010.... - Signaling pathway-based identification of extensive prognostic gene signatures for lung adenocarcinomaYing Wooi Wan
Department of Community Medicine Mary Babb Randolph Cancer Center, West Virginia University, Morgantown, WV 26506 9300, USA
Lung Cancer 76:98-105. 2012..This study is an important step toward personalized prognosis of tumor recurrence and patient selection for adjuvant chemotherapy, with significant impact on down-stream clinical applications... - A 12-gene genomic instability signature predicts clinical outcomes in multiple cancer typesRama K R Mettu
Mary Babb Randolph Cancer Center Community Medicine, West Virginia University, Morgantown, WV, USA
Int J Biol Markers 25:219-28. 2010..This prompted us to investigate whether this genomic instability signature could also predict clinical outcome in other cancer types of epithelial origin, including colorectal tumors, non-small cell lung carcinomas, and ovarian cancer... - Combining clinical, pathological, and demographic factors refines prognosis of lung cancer: a population-based studyJoseph Putila
Mary Babb Randolph Cancer Center, West Virginia University, Morgantown, West Virginia, United States of America
PLoS ONE 6:e17493. 2011..It is important to develop a prognostic stratification model which combines clinical, pathological and demographic factors for individualized clinical decision making... - Iron oxide nanoparticles induce human microvascular endothelial cell permeability through reactive oxygen species production and microtubule remodelingPatrick L Apopa
The Pathology and Physiology Research Branch, Health Effects Laboratory Division, National Institute for Occupational Safety and Health, Morgantown, WV 26505, USA
Part Fibre Toxicol 6:1. 2009..abstract:.. - Association of arsenic exposure with lung cancer incidence rates in the United StatesJoseph J Putila
Mary Babb Randolph Cancer Center, West Virginia University, Morgantown, West Virginia, United States of America
PLoS ONE 6:e25886. 2011..We sought to determine if the low-level exposures to arsenic seen in the U.S. are associated with lung cancer incidence after controlling for possible confounders, and to assess the interaction with smoking behavior... - Population-based molecular prognosis of breast cancer by transcriptional profilingYan Ma
Mary Babb Randolph Cancer Center, Department of Statistics, Division of Hematology, West Virginia University, Morgantown, WV 26506 9300, USA
Clin Cancer Res 13:2014-22. 2007..The purpose of this study is to predict breast cancer recurrence and metastases and to identify gene signatures indicative of clinicopathologic characteristics using gene expression patterns derived from cDNA microarray... - Predicting cancer drug response by proteomic profilingYan Ma
Department of Statistics, West Virginia University, USA
Clin Cancer Res 12:4583-9. 2006..CONCLUSIONS: The results showed that it was feasible to accurately predict chemosensitivity by proteomic approaches. This study provides a basis for the prediction of drug response based on protein markers in the untreated tumors... - Histone modifications and expression of light-regulated genes in Arabidopsis are cooperatively influenced by changing light conditionsLan Guo
Peking Yale Joint Center of Plant Molecular Genetics and Agrobiotechnology, College of Life Sciences, Peking University, Beijing 100871, China
Plant Physiol 147:2070-83. 2008..Thus, it is possible that variations in histone modifications are an important physiological component of plant responses to changing light environments...
Research Grants
- A Novel Computational Framework for Individualized Clinical Decision-MakingNancy Lan Guo; Fiscal Year: 2010..This study will advance the computational modeling of human genome data in disease for clinical decision-making. ..