Gastric adenocarcinoma: review and considerations for future directions

BJ Dicken, DL Bigam, C Cass, JR Mackey… - Annals of …, 2005 - journals.lww.com
Objective: This update reviews the epidemiology and surgical management, and the
controversies of gastric adenocarcinoma. We provide the relevance of outcome data to …

Machine learning for lung cancer diagnosis, treatment, and prognosis

Y Li, X Wu, P Yang, G Jiang… - Genomics, Proteomics and …, 2022 - academic.oup.com
The recent development of imaging and sequencing technologies enables systematic
advances in the clinical study of lung cancer. Meanwhile, the human mind is limited in …

Repeated observation of breast tumor subtypes in independent gene expression data sets

T Sørlie, R Tibshirani, J Parker… - Proceedings of the …, 2003 - National Acad Sciences
Characteristic patterns of gene expression measured by DNA microarrays have been used
to classify tumors into clinically relevant subgroups. In this study, we have refined the …

Classification of human cancer diseases by gene expression profiles

H Salem, G Attiya, N El-Fishawy - Applied Soft Computing, 2017 - Elsevier
A cancers disease in virtually any of its types presents a significant reason behind death
surrounding the world. In cancer analysis, classification of varied tumor types is of the …

Serum MicroRNA signatures identified in a genome-wide serum MicroRNA expression profiling predict survival of non–small-cell lung cancer

Z Hu, X Chen, Y Zhao, T Tian, G Jin, Y Shu… - Journal of clinical …, 2010 - ascopubs.org
Purpose Recent findings that human serum contains stably expressed microRNA (miRNA)
have revealed a great potential of serum miRNA signature as disease fingerprints to predict …

Gene expression–based survival prediction in lung adenocarcinoma: a multi-site, blinded validation study

Nature medicine, 2008 - nature.com
Although prognostic gene expression signatures for survival in early-stage lung cancer have
been proposed, for clinical application, it is critical to establish their performance across …

[HTML][HTML] A five-gene signature and clinical outcome in non–small-cell lung cancer

HY Chen, SL Yu, CH Chen, GC Chang… - … England Journal of …, 2007 - Mass Medical Soc
Background Current staging methods are inadequate for predicting the outcome of treatment
of non–small-cell lung cancer (NSCLC). We developed a five-gene signature that is closely …

Prognostic and predictive gene signature for adjuvant chemotherapy in resected non–small-cell lung cancer

CQ Zhu, K Ding, D Strumpf, BA Weir… - Journal of clinical …, 2010 - ascopubs.org
Purpose The JBR. 10 trial demonstrated benefit from adjuvant cisplatin/vinorelbine (ACT) in
early-stage non–small-cell lung cancer (NSCLC). We hypothesized that expression profiling …

Biomarker discovery in non–small cell lung cancer: integrating gene expression profiling, meta-analysis, and tissue microarray validation

J Botling, K Edlund, M Lohr, B Hellwig, L Holmberg… - Clinical cancer …, 2013 - AACR
Purpose: Global gene expression profiling has been widely used in lung cancer research to
identify clinically relevant molecular subtypes as well as to predict prognosis and therapy …

A 12-gene set predicts survival benefits from adjuvant chemotherapy in non–small cell lung cancer patients

H Tang, G Xiao, C Behrens, J Schiller, J Allen… - Clinical cancer …, 2013 - AACR
Purpose: Prospectively identifying who will benefit from adjuvant chemotherapy (ACT) would
improve clinical decisions for non–small cell lung cancer (NSCLC) patients. In this study, we …