Deep learning with multimodal representation for pancancer prognosis prediction

A Cheerla, O Gevaert - Bioinformatics, 2019 - academic.oup.com
Motivation Estimating the future course of patients with cancer lesions is invaluable to
physicians; however, current clinical methods fail to effectively use the vast amount of …

The inflammatory microenvironment in colorectal neoplasia

MH McLean, GI Murray, KN Stewart, G Norrie… - PLoS …, 2011 - journals.plos.org
Colorectal cancer (CRC) is a major cause of mortality and morbidity worldwide. Inflammatory
activity within the stroma of invasive colorectal tumours is known to be a key predictor of …

[HTML][HTML] Data integration in genetics and genomics: methods and challenges

JS Hamid, P Hu, NM Roslin, V Ling… - Human genomics and …, 2009 - ncbi.nlm.nih.gov
Due to rapid technological advances, various types of genomic and proteomic data with
different sizes, formats, and structures have become available. Among them are gene …

Predicting the response to preoperative radiation or chemoradiation by a microarray analysis of the gene expression profiles in rectal cancer

T Akiyoshi, T Kobunai, T Watanabe - Surgery today, 2012 - Springer
Preoperative radiotherapy or chemoradiotherapy (CRT) has become a standard treatment
for patients with locally advanced rectal cancer. However, there is a wide spectrum of …

Genomics of brain tumor imaging

WB Pope - Neuroimaging Clinics, 2015 - neuroimaging.theclinics.com
Imaging genomics, radiogenomics, and radiomics are different names for essentially the
same thing, a field of study focused on understanding the relationship between medical …

Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data

Q Shi, C Zhang, M Peng, X Yu, T Zeng, J Liu… - …, 2017 - academic.oup.com
Motivation Integrating different omics profiles is a challenging task, which provides a
comprehensive way to understand complex diseases in a multi-view manner. One key for …

[HTML][HTML] An integrative approach for the identification of prognostic and predictive biomarkers in rectal cancer

M Agostini, KP Janssen, E D'Angelo, S Pizzini… - Oncotarget, 2015 - ncbi.nlm.nih.gov
Results The following specific gene signature, able to discriminate responders' patients from
non-responders, were founded: AKR1C3, CXCL11, CXCL10, IDO1, CXCL9, MMP12 and …

Molecular response to cetuximab and efficacy of preoperative cetuximab-based chemoradiation in rectal cancer

A Debucquoy, K Haustermans, A Daemen… - Journal of Clinical …, 2009 - ascopubs.org
Purpose To characterize the molecular pathways activated or inhibited by cetuximab when
combined with chemoradiotherapy (CRT) in rectal cancer and to identify molecular profiles …

A functional biological network centered on XRCC3: a new possible marker of chemoradiotherapy resistance in rectal cancer patients

M Agostini, A Zangrando, C Pastrello… - Cancer biology & …, 2015 - Taylor & Francis
Preoperative chemoradiotherapy is widely used to improve local control of disease,
sphincter preservation and to improve survival in patients with locally advanced rectal …

Prediction of response to preoperative chemoradiotherapy in rectal cancer by using reverse transcriptase polymerase chain reaction analysis of four genes

T Watanabe, T Kobunai, T Akiyoshi… - Diseases of the colon …, 2014 - journals.lww.com
BACKGROUND: Patients with rectal cancer exhibit a wide spectrum of responses to
chemoradiotherapy. Several gene expression signatures have been reported to predict the …