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1
MicroRNA-182 downregulates metastasis suppressor 1 and contributes to metastasis of hepatocellular carcinoma
MicroRNA-182 downregulates metastasis suppressor 1 and contributes to metastasis of hepatocellular carcinoma
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MicroRNA-182 downregulates metastasis suppressor 1 and contributes to metastasis of hepatocellular carcinoma

Wang, Jian ; Li, Jingwu ; Shen, Junling ; Wang, Chen ; Yang, Lili ; Zhang, Xinwei

BMC cancer, 2012-06, Vol.12 (1), p.227-227, Article 227 [Periódico revisado por pares]

England: BioMed Central Ltd

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2
METTL3-mediated N6-methyladenosine modification is critical for epithelial-mesenchymal transition and metastasis of gastric cancer
METTL3-mediated N6-methyladenosine modification is critical for epithelial-mesenchymal transition and metastasis of gastric cancer
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METTL3-mediated N6-methyladenosine modification is critical for epithelial-mesenchymal transition and metastasis of gastric cancer

Yue, Ben ; Song, Chenlong ; Yang, Linxi ; Cui, Ran ; Cheng, Xingwang ; Zhang, Zizhen ; Zhao, Gang

Molecular cancer, 2019-10, Vol.18 (1), p.142-142, Article 142 [Periódico revisado por pares]

England: BioMed Central Ltd

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3
A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme
A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme
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A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme

Lao, Jiangwei ; Chen, Yinsheng ; Li, Zhi-Cheng ; Li, Qihua ; Zhang, Ji ; Liu, Jing ; Zhai, Guangtao

Scientific reports, 2017-09, Vol.7 (1), p.10353-8, Article 10353 [Periódico revisado por pares]

England: Nature Publishing Group

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4
The Clinicopathological features and survival outcomes of patients with different metastatic sites in stage IV breast cancer
The Clinicopathological features and survival outcomes of patients with different metastatic sites in stage IV breast cancer
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The Clinicopathological features and survival outcomes of patients with different metastatic sites in stage IV breast cancer

Wang, Ru ; Zhu, Yayun ; Liu, Xiaoxu ; Liao, Xiaoqin ; He, Jianjun ; Niu, Ligang

BMC cancer, 2019-11, Vol.19 (1), p.1091-1091, Article 1091 [Periódico revisado por pares]

England: BioMed Central Ltd

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5
Combined neutrophil-lymphocyte ratio and platelet-lymphocyte ratio predicts chemotherapy response and prognosis in patients with advanced gastric cancer
Combined neutrophil-lymphocyte ratio and platelet-lymphocyte ratio predicts chemotherapy response and prognosis in patients with advanced gastric cancer
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Combined neutrophil-lymphocyte ratio and platelet-lymphocyte ratio predicts chemotherapy response and prognosis in patients with advanced gastric cancer

Hirahara, Tetsushi ; Arigami, Takaaki ; Yanagita, Shigehiro ; Matsushita, Daisuke ; Uchikado, Yasuto ; Kita, Yoshiaki ; Mori, Shinichiro ; Sasaki, Ken ; Omoto, Itaru ; Kurahara, Hiroshi ; Maemura, Kosei ; Okubo, Keishi ; Uenosono, Yoshikazu ; Ishigami, Sumiya ; Natsugoe, Shoji

BMC cancer, 2019-07, Vol.19 (1), p.672-672, Article 672 [Periódico revisado por pares]

England: BioMed Central Ltd

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6
Integrated analysis of lncRNA-miRNA-mRNA ceRNA network in squamous cell carcinoma of tongue
Integrated analysis of lncRNA-miRNA-mRNA ceRNA network in squamous cell carcinoma of tongue
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Integrated analysis of lncRNA-miRNA-mRNA ceRNA network in squamous cell carcinoma of tongue

Zhou, Rui-Sheng ; Zhang, En-Xin ; Sun, Qin-Feng ; Ye, Zeng-Jie ; Liu, Jian-Wei ; Zhou, Dai-Han ; Tang, Ying

BMC cancer, 2019-08, Vol.19 (1), p.779-779, Article 779 [Periódico revisado por pares]

England: BioMed Central Ltd

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7
Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data
Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data
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Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data

Ching, Travers ; Zhu, Xun ; Garmire, Lana X Markowetz, Florian

PLoS computational biology, 2018-04, Vol.14 (4), p.e1006076-e1006076 [Periódico revisado por pares]

United States: Public Library of Science

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8
CA19-9 for detecting recurrence of pancreatic cancer
CA19-9 for detecting recurrence of pancreatic cancer
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CA19-9 for detecting recurrence of pancreatic cancer

Azizian, Azadeh ; Rühlmann, Felix ; Krause, Tanja ; Bernhardt, Markus ; Jo, Peter ; König, Alexander ; Kleiß, Mathias ; Leha, Andreas ; Ghadimi, Michael ; Gaedcke, Jochen

Scientific reports, 2020-01, Vol.10 (1), p.1332-1332, Article 1332 [Periódico revisado por pares]

England: Nature Publishing Group

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9
Expression signatures of exosomal long non-coding RNAs in urine serve as novel non-invasive biomarkers for diagnosis and recurrence prediction of bladder cancer
Expression signatures of exosomal long non-coding RNAs in urine serve as novel non-invasive biomarkers for diagnosis and recurrence prediction of bladder cancer
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Expression signatures of exosomal long non-coding RNAs in urine serve as novel non-invasive biomarkers for diagnosis and recurrence prediction of bladder cancer

Zhan, Yao ; Du, Lutao ; Wang, Lishui ; Jiang, Xiumei ; Zhang, Shujun ; Li, Juan ; Yan, Keqiang ; Duan, Weili ; Zhao, Yinghui ; Wang, Lili ; Wang, Yunshan ; Wang, Chuanxin

Molecular cancer, 2018-09, Vol.17 (1), p.142-142, Article 142 [Periódico revisado por pares]

England: BioMed Central Ltd

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10
Neutrophil to lymphocyte ratio predicts prognosis in unresectable pancreatic cancer
Neutrophil to lymphocyte ratio predicts prognosis in unresectable pancreatic cancer
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Neutrophil to lymphocyte ratio predicts prognosis in unresectable pancreatic cancer

Iwai, Naoto ; Okuda, Takashi ; Sakagami, Junichi ; Harada, Taishi ; Ohara, Tomoya ; Taniguchi, Masashi ; Sakai, Hiroaki ; Oka, Kohei ; Hara, Tasuku ; Tsuji, Toshifumi ; Komaki, Toshiyuki ; Kagawa, Keizo ; Yasuda, Hiroaki ; Naito, Yuji ; Itoh, Yoshito

Scientific reports, 2020-10, Vol.10 (1), p.18758-18758, Article 18758 [Periódico revisado por pares]

England: Nature Publishing Group

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