[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�…

Machine learning for survival analysis: A survey

P Wang, Y Li, CK Reddy�- ACM Computing Surveys (CSUR), 2019 - dl.acm.org
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�…

[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�…

Tumor aneuploidy correlates with markers of immune evasion and with reduced response to immunotherapy

T Davoli, H Uno, EC Wooten, SJ Elledge�- Science, 2017 - science.org
INTRODUCTION Aneuploidy, also known as somatic copy number alterations (SCNAs), is
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�…

[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�…

[HTML][HTML] Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

KH Yu, C Zhang, GJ Berry, RB Altman, C R�…�- Nature�…, 2016 - nature.com
Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is
indispensable for its diagnosis. However, human evaluation of pathology slides cannot�…

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

T S�rlie, 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�…

ONCOMINE: a cancer microarray database and integrated data-mining platform

DR Rhodes, J Yu, K Shanker, N Deshpande…�- Neoplasia, 2004 - Elsevier
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�…

Genes that mediate breast cancer metastasis to lung

AJ Minn, GP Gupta, PM Siegel, PD Bos, W Shu, DD Giri…�- Nature, 2005 - nature.com
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�…