Cancer immunoinformatics: a new assistant tool for malignant disease research.

Weijia Wang; Rupeng Zhang; Han Liang; Hui Zhang; Fangxuan LI; Jinpu YU; Hui LI; Xiubao Ren

Return

Cancer immunoinformatics: a new assistant tool for malignant disease research.

Author: Weijia WANG ¹ ; Rupeng ZHANG ² ; Han LIANG ¹ ; Hui ZHANG ¹ ; Fangxuan LI ³ ; Jinpu YU ⁴ ; Hui LI ⁴ ; Xiubao REN ⁴
Author Information

1. Department of Gastric Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China.
2. Department of Gastric Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China. Email: tjzhangrp@gmail.com.
3. Department of Cancer Prevention Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China.
4. Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China.
Publication Type:Journal Article
MeSH: Cancer Vaccines; therapeutic use; Computational Biology; methods; Humans; Neoplasms; diagnosis; immunology; prevention & control
From: Chinese Medical Journal 2014;127(6):1149-1154
CountryChina
Language:English
Abstract:
OBJECTIVETo introduce the recent developments in cancer immunoinformatics with an emphasis on the latest trends and future direction.
DATA SOURCESAll related articles in this review were searched from PubMed published in English from 1992 to 2013. The search terms were cancer, immunoinformatics, immunological databases, and computational vaccinology.
STUDY SELECTIONOriginal articles and reviews those were related to application of cancer immunoinformatics about tumor basic and clinical research were selected.
RESULTSCancer immunoinformatics has been widely researched and applied in a series of fields of cancer research, including computational tools for cancer, cancer immunological databases, computational vaccinology, and cancer diagnostic workflows. Furthermore, the improvement of its theory and technology brings an enlightening insight into understanding and researching cancer and helps expound more deep and complete mechanisms of tumorigenesis and progression.
CONCLUSIONCancer immunoinformatics provides promising methods and novel strategies for the discovery and development of tumor basic and clinical research.