[HTML][HTML] International association for the study of lung cancer/american thoracic society/european respiratory society international multidisciplinary classification of�…
WD Travis, E Brambilla, M Noguchi…�- Journal of thoracic�…, 2011 - Elsevier
Introduction: Adenocarcinoma is the most common histologic type of lung cancer. To
address advances in oncology, molecular biology, pathology, radiology, and surgery of lung�…
address advances in oncology, molecular biology, pathology, radiology, and surgery of lung�…
Machine learning for survival analysis: A survey
Survival analysis is a subfield of statistics where the goal is to analyze and model data
where the outcome is the time until an event of interest occurs. One of the main challenges�…
where the outcome is the time until an event of interest occurs. One of the main challenges�…
[HTML][HTML] Comprehensive molecular profiling of lung adenocarcinoma
Cancer Genome Atlas Research Network�- Nature, 2014 - ncbi.nlm.nih.gov
Adenocarcinoma of the lung is the leading cause of cancer death worldwide. Here we report
molecular profiling of 230 resected lung adenocarcinomas using messenger RNA�…
molecular profiling of 230 resected lung adenocarcinomas using messenger RNA�…
Tumor aneuploidy correlates with markers of immune evasion and with reduced response to immunotherapy
INTRODUCTION Aneuploidy, also known as somatic copy number alterations (SCNAs), is
widespread in human cancers and has been proposed to drive tumorigenesis. The�…
widespread in human cancers and has been proposed to drive tumorigenesis. The�…
Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles
A Subramanian, P Tamayo…�- Proceedings of the�…, 2005 - National Acad Sciences
Although genomewide RNA expression analysis has become a routine tool in biomedical
research, extracting biological insight from such information remains a major challenge�…
research, extracting biological insight from such information remains a major challenge�…
[HTML][HTML] Online survival analysis software to assess the prognostic value of biomarkers using transcriptomic data in non-small-cell lung cancer
B Győrffy, P Surowiak, J Budczies, A L�nczky�- PloS one, 2013 - journals.plos.org
In the last decade, optimized treatment for non-small cell lung cancer had lead to improved
prognosis, but the overall survival is still very short. To further understand the molecular�…
prognosis, but the overall survival is still very short. To further understand the molecular�…
[HTML][HTML] Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features
Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is
indispensable for its diagnosis. However, human evaluation of pathology slides cannot�…
indispensable for its diagnosis. However, human evaluation of pathology slides cannot�…
Repeated observation of breast tumor subtypes in independent gene expression data sets
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�…
to classify tumors into clinically relevant subgroups. In this study, we have refined the�…
ONCOMINE: a cancer microarray database and integrated data-mining platform
DNA microarray technology has led to an explosion of oncogenomic analyses, generating a
wealth of data and uncovering the complex gene expression patterns of cancer�…
wealth of data and uncovering the complex gene expression patterns of cancer�…
Genes that mediate breast cancer metastasis to lung
By means of in vivo selection, transcriptomic analysis, functional verification and clinical
validation, here we identify a set of genes that marks and mediates breast cancer metastasis�…
validation, here we identify a set of genes that marks and mediates breast cancer metastasis�…