CrossRef Text and Data Mining
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The Smad4/PTEN Expression Pattern Predicts Clinical Outcomes in Colorectal Adenocarcinoma
Yumin Chung, Young Chan Wi, Yeseul Kim, Seong Sik Bang, Jung-Ho Yang, Kiseok Jang, Kyueng-Whan Min, Seung Sam Paik
JPTM. 2018;52(1):37-44.   Published online 2017 October 23    DOI: https://doi.org/10.4132/jptm.2017.10.20

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The Smad4/PTEN Expression Pattern Predicts Clinical Outcomes in Colorectal Adenocarcinoma
Journal of Pathology and Translational Medicine. 2018;52(1):37-44   Crossref logo
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PTEN loss in biopsy tissue predicts poor clinical outcomes in prostate cancer
International Journal of Urology. 2014;21(12):1209-1214   Crossref logo
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Synergistic action of Smad4 and Pten in suppressing pancreatic ductal adenocarcinoma formation in mice
Oncogene. 2009;29(5):674-686   Crossref logo
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Prognostic Value of Reduced SMAD4 Expression in Patients With Metastatic Colorectal Cancer Under Oxaliplatin-Containing Chemotherapy: A Translational Study of the AIO Colorectal Study Group
Clinical Colorectal Cancer. 2011;10(1):24-29   Crossref logo
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Correction: Association of SMAD4 mutation with patient demographics, tumor characteristics, and clinical outcomes in colorectal cancer
PLOS ONE. 2017;12(5):e0178275   Crossref logo
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Small Bowel Adenocarcinoma
Clinical Colorectal Cancer. 2004;4(4):249-251   Crossref logo
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Gene expression monitoring accurately predicts medulloblastoma positive and negative clinical outcomes
FEBS Letters. 2002;533(1):110-114   Crossref logo
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Autophagy Inhibition in Pancreatic Adenocarcinoma
Clinical Colorectal Cancer. 2018;17(1):25-31   Crossref logo
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Elevated expression of miR-24-3p is a potentially adverse prognostic factor in colorectal adenocarcinoma
Clinical Biochemistry. 2017;50(6):285-292   Crossref logo
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Immunohistochemical expression profile of β-catenin, E-cadherin, P-cadherin, laminin-5γ2 chain, and SMAD4 in colorectal serrated adenocarcinoma
Human Pathology. 2012;43(7):1094-1102   Crossref logo
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This metadata service is kindly provided by CrossRef from May 29, 2014. J Pathol Transl Med has participated in CrossRef Text and Data Mining service since January 16, 2015.