Results 51 to 60 of about 1,383,024 (290)

A critical evaluation of network and pathway based classifiers for outcome prediction in breast cancer [PDF]

, 2011
Recently, several classifiers that combine primary tumor data, like gene expression data, and secondary data sources, such as protein-protein interaction networks, have been proposed for predicting outcome in breast cancer.
A Subramanian, C Desmedt, Christine Staiger, D Hanahan, E Lee, F Reyal, G Abraham, GR Mishra, Gunnar W. Klau, HY Chuang, I Ulitsky, IW Taylor, Joaquín Dopazo, K Chin, KR Brown, L Ein-Dor, L Tian, LD Miller, LFA Wessels, LJ van’t Veer, Lodewyk F. A. Wessels, M Kanehisa, Marcus Dittrich, MH van Vliet, MJ van de Vijver, ML Gatza, MT Dittrich, P Dao, Raul Kooter, S Loi, S Ma, SA Chowdhury, Sidney Cadot, Tobias Müller, TSK Prasad, V Popovici, Y Pawitan, Y Wang   +37 more
core   +6 more sources

Clinical Insights Into Hypercalcemia of Malignancy in Childhood

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley   +1 more source

Pan-Cancer Classification Based on Self-Normalizing Neural Networks and Feature Selection

Frontiers in Bioengineering and Biotechnology, 2020
Cancer is a one of the severest diseases and cancer classification plays an important role in cancer diagnosis and treatment. Some different cancers even have similar molecular features such as DNA copy number variant.
Junyi Li, Qingzhe Xu, Mingxiao Wu, Tao Huang, Yadong Wang   +4 more
doaj   +1 more source

Survival Outcomes and Complications Among Canadian Children With Retinoblastoma: A Population‐Based Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine, Ofélie Trudeau‐Ferrin, Caroline Laverdière, Patrick Hamel, Rosanne Superstein, Bénédicte Koukoui, Carole Provost, Paul C. Nathan, Vijay Ramaswamy, Furqan Shaikh, Brenda Gallie, Ashwin Mallipatna, Stephanie Kletke, Helen Dimaras, Hallie Coltin   +14 more
wiley   +1 more source

Adherence to Protocol Recommendations for Children With Wilms Tumour in Two Consecutive Studies in the United Kingdom and Ireland—Does Variation Matter?

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait, R. Al‐Saadi, A. Lopez‐Cortes, K. Dzhuma, M. Oostveen, J. Brok, S. Irtan, M. Weeks, J. Bate, S. Baker, R. Williams, M. Powis, D. Saunders, O. Olsen, T. Watson, S. Shelmerdine, S. Vaidya, L. Howell, C. Duncan, G. M. Vujanic, C. Stiller, G. P. Balchin, T. Chowdhury, K. Pritchard‐Jones   +23 more
wiley   +1 more source

The consensus immunoscore: toward a new classification of colorectal cancer

OncoImmunology, 2020
In its latest edition, the WHO classification of the Digestive System Tumors introduced for the first time the immune response as essential and desirable diagnostic criteria for colorectal cancer.
Anastasia Lanzi, Franck Pagès, Christine Lagorce-Pagès, Jérôme Galon   +3 more
doaj   +1 more source

CANCER CLASSIFICATION USING SINGLE GENES [PDF]

Genome Informatics 2009, 2009
We present a method for She classification of cancer based on gene expression profiles using single genes. We select the genes with high class-discrimination capability according to their depended degree by the classes. We then build classifiers based on the decision rules induced by single genes selected.
Xiaosheng, Wang, Osamu, Gotoh
openaire   +2 more sources

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski, Rebecca Ronsley, Shannon M. Stasi, Jeffrey Stevens, Erin R. Rudzinski, Christina M. Lockwood, Sarah E. S. Leary, Bonnie L. Cole, Michelle A. Ting, Vera Paulson   +9 more
wiley   +1 more source

Unsupervised Hierarchical Clustering Identifies Immune Gene Subtypes in Gastric Cancer

Frontiers in Pharmacology, 2021
Objectives: The pathogenesis of heterogeneity in gastric cancer (GC) is not clear and presents as a significant obstacle in providing effective drug treatment.
Jing Cao, Jiao Gong, Xinhua Li, Zhaoxia Hu, Yingjun Xu, Hong Shi, Danyang Li, Guangjian Liu, Yusheng Jie, Bo Hu, Yutian Chong   +10 more
doaj   +1 more source

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification

, 2018
This paper explores the problem of breast tissue classification of microscopy images. Based on the predominant cancer type the goal is to classify images into four categories of normal, benign, in situ carcinoma, and invasive carcinoma.
DC Cireşan, F Ghaznavi, M Kowal, N Srivastava, P Filipczuk, RL Siegel, T Araújo, YM George   +7 more
core   +1 more source