Development and Validation of a Pathology Image Analysis-based Predictive Model for Lung Adenocarcinoma Prognosis - A Multi-cohort Study-Reference-Cited by-同舟云学术

Development and Validation of a Pathology Image Analysis-based Predictive Model for Lung Adenocarcinoma Prognosis - A Multi-cohort Study

Published:2019-05-03 Issue:1 Volume:9 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Luo Xin,Yin Shen,Yang Lin,Fujimoto Junya,Yang Yikun,Moran Cesar,Kalhor Neda,Weissferdt Annikka,Xie Yang,Gazdar Adi,Minna John,Wistuba Ignacio Ivan,Mao Yousheng,Xiao Guanghua

Funder

U.S. Department of Health & Human Services | NIH | National Cancer Institute

U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-019-42845-z.pdf

Reference12 articles.

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2. Dudas, J. Supportive and rejective functions of tumor stroma on tumor cell growth, survival, and invasivity: the cancer evolution. Front Oncol 5, 44, https://doi.org/10.3389/fonc.2015.00044 (2015).

3. Yaqub, F. Intratumour heterogeneity in lung cancer. Lancet Oncol 15, e536 (2014).

4. Fehrenbach, U. & Kayser, G. Epigenetics in lung cancer: What do DNA-methyltransferases do? Diagnostic Pathology V3 (2017).

5. Kayser, K., Borkenfeld, S., Carvalho, R. & Kayser, G. Structure, Function, And Predictive Diagnosis Algorithms. Diagnostic Pathology 1, https://doi.org/10.17629/www.diagnosticpathology.eu-2016-8:153 (2016).

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