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http://hdl.handle.net/11452/30062
Başlık: | Shattering the castle walls: Anti-stromal therapy for pancreatic cancer |
Yazarlar: | Uludağ Üniversitesi/Tıp Fakültesi/Onkoloji Anabilim Dalı. Kanat, Özkan Ertaş, Hülya 55881548500 57195326915 |
Anahtar kelimeler: | Oncology Gastroenterology & hepatology Pancreatic cancer Stroma Stellate cells Hyaluronan Secreted protein acidic and rich in cysteine Stellate cells Ductal adenocarcinoma Tumor progression Sparc expression Targeted therapies Patient survival Gene-expression Carcinoma cells Nab-paclitaxel Retinoic acid |
Yayın Tarihi: | 15-Ağu-2018 |
Yayıncı: | Baishideng Publishing Group |
Atıf: | Kanat, Ö. ve Ertaş, H. (2018). ''Shattering the castle walls: Anti-stromal therapy for pancreatic cancer''. World Journal of Gastrointestinal Oncology, 10(89), 202-210. |
Özet: | Despite the availability of potent chemotherapy regimens, such as 5-fluorouracil, folinic acid, irinotecan, and oxaliplatin (FOLFIRINOX) and nab-paclitaxel plus gemcitabine, treatment outcomes in metastatic pancreatic cancer (PC) remain unsatisfactory. The presence of an abundant fibrous stroma in PC is considered a crucial factor for its unfavorable condition. Apparently, stroma acts as a physical barrier to restrict intratumoral cytotoxic drug penetration and creates a hypoxic environment that reduces the efficacy of radiotherapy. In addition, stroma plays a vital supportive role in the development and progression of PC, which has prompted researchers to assess the potential benefits of agents targeting several cellular (e.g., stellate cells) and acellular (e.g., hyaluronan) elements of the stroma. This study aims to briefly review the primary structural properties of PC stroma and its interaction with cancer cells and summarize the current status of anti-stromal therapies in the management of metastatic PC. |
URI: | https://doi.org/10.4251/wjgo.v10.i8.202 https://www.wjgnet.com/1948-5204/full/v10/i8/202.htm http://hdl.handle.net/11452/30062 |
ISSN: | 1948-5204 |
Koleksiyonlarda Görünür: | PubMed Scopus Web of Science |
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Kanat_Ertaş_2018.pdf | 1.33 MB | Adobe PDF | Göster/Aç |
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