Machine learning‐based classification of diffuse large B‐cell lymphoma patients by eight gene expression profiles-Reference-Cited by-同舟云学术

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Machine learning‐based classification of diffuse large B‐cell lymphoma patients by eight gene expression profiles

Published:2016-02-11 Issue:5 Volume:5 Page:837-852
ISSN:2045-7634
Container-title:Cancer Medicine
language:en
Short-container-title:Cancer Med

Author:

Zhao Shuangtao¹²³,Dong Xiaoli¹²,Shen Wenzhi¹²,Ye Zhen¹²,Xiang Rong¹²³

Affiliation:

1. School of Medicine Collaborative Innovation Center for Biotherapy Nankai University 94 Weijin Road Tianjin 300071 China

2. Collaborative Innovation Center for Biotherapy Nankai University 94 Weijin Road Tianjin 300071 China

3. Tianjin Key Laboratory of Tumor Microenvironment and Neurovascular Regulation Tianjin 300071 China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cancer Research,Radiology Nuclear Medicine and imaging,Oncology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cam4.650

Reference48 articles.

1. Evaluation of BCL-6, CD10, CD138 and MUM-1 Expression in Diffuse Large B-Cell Lymphoma patients: CD138 is a Marker of Poor Prognosis

2. Long-term outcome of patients in the LNH-98.5 trial, the first randomized study comparing rituximab-CHOP to standard CHOP chemotherapy in DLBCL patients: a study by the Groupe d'Etudes des Lymphomes de l'Adulte

3. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling

4. Whole genome expression profiling based on paraffin embedded tissue can be used to classify diffuse large B-cell lymphoma and predict clinical outcome

5. Genomic profiling using array comparative genomic hybridization define distinct subtypes of diffuse large b-cell lymphoma: a review of the literature

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