![]() |
CrossRef Text and Data Mining |
Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
Adipose Stromal Cells from Visceral and Subcutaneous Fat Facilitate Migration of Ovarian Cancer Cells via IL-6/JAK2/STAT3 Pathway |
Boyun Kim, Hee Seung Kim, Soochi Kim, Guy Haegeman, Benjamin K. Tsang, Danny N. Dhanasekaran, Yong Sang Song |
Cancer Research and Treatment. 2017;49(2):338-349. Published online 2016 July 18 DOI: https://doi.org/10.4143/crt.2016.175 |
Adipose Stromal Cells from Visceral and Subcutaneous Fat Facilitate Migration of Ovarian Cancer Cells via IL-6/JAK2/STAT3 Pathway Long non-coding RNA THOR promotes Ovarian Cancer cells progression via IL-6/STAT3 pathway Propofol inhibits proliferation, migration, invasion and promotes apoptosis by regulating HOST2/JAK2/STAT3 signaling pathway in ovarian cancer cells Atezolizumab and blockade of LncRNA PVT1 attenuate cisplatin resistant ovarian cancer cells progression synergistically via JAK2/STAT3/PD-L1 pathway IL-17A promotes the malignant progression of colon cancer cells by activating JAK2/STAT3 signaling pathway Long non-coding RNA THOR promotes ovarian Cancer cells progression via IL-6/STAT3 pathway CTR9-Mediated JAK2/STAT3 Pathway Promotes The Proliferation, Migration and Invasion of Human Glioma Cells Mesenchymal Stem/Stromal Cells: ADIPOSE-DERIVED MESENCHYMAL STROMAL CELLS FROM BUCCAL FAT PAD AND SUBCUTANEOUS ADIPOSE TISSUES: SO SIMILAR SO DIFFERENT Long non-coding RNA THOR promotes Ovarian Cancer cells progression via STAT3 pathway Isolation and Culture of Adipose-Derived Stromal Cells from Subcutaneous Fat |
This metadata service is kindly provided by CrossRef from May 29, 2014. Cancer Res Treat has participated in CrossRef Text and Data Mining service since October 29, 2014. |