Literature DB >> 19786935

CD133 expression pattern distinguishes intraductal papillary mucinous neoplasms from ductal adenocarcinomas of the pancreas.

Kazuya Shimizu1, Tomoo Itoh, Michio Shimizu, Yonson Ku, Yuichi Hori.   

Abstract

OBJECTIVES: The rate of intraductal papillary mucinous neoplasm (IPMN) progression is much slower than that of invasive ductal adenocarcinomas. The identification of a clinicopathological marker to distinguish IPMNs from ductal adenocarcinomas is important for understanding the molecular mechanisms of pancreatic cancer.
METHODS: We examined the expression pattern of the cell surface marker CD133, which has been used to identify putative cancer stem cells from solid tumors, in adult pancreatic ductal adenocarcinomas (n = 10) and IPMNs (n = 34).
RESULTS: CD133 expression was detected in the centroacinar region and intralobular ductal cells of normal pancreas. CD133 expression was also observed in ductal adenocarcinomas. In contrast, CD133 expression was not observed in the mucin-producing epithelial cells and carcinoma cells on IPMNs.
CONCLUSIONS: These results demonstrate that the expression of CD133 is down-regulated in IPMNs, suggesting that loss of CD133 expression might be a useful clinicopathological marker distinguishing IPMNs from ductal adenocarcinomas.

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Year:  2009        PMID: 19786935     DOI: 10.1097/MPA.0b013e3181bb5037

Source DB:  PubMed          Journal:  Pancreas        ISSN: 0885-3177            Impact factor:   3.327


  14 in total

Review 1.  Integrative Analysis of CD133 mRNA in Human Cancers Based on Data Mining.

Authors:  Gui-Min Wen; Fei-Fei Mou; Wei Hou; Dan Wang; Pu Xia
Journal:  Stem Cell Rev Rep       Date:  2019-02       Impact factor: 5.739

Review 2.  Prognostic value of cancer stem cell marker CD133 expression in pancreatic ductal adenocarcinoma (PDAC): a systematic review and meta-analysis.

Authors:  Xiaoping Li; Haojie Zhao; Jianchun Gu; Leizhen Zheng
Journal:  Int J Clin Exp Pathol       Date:  2015-10-01

3.  CD133 immunohistochemical expression predicts progression and cancer-related death in renal cell carcinoma.

Authors:  Walter Henriques da Costa; Rafael Malagoli Rocha; Isabela Werneck da Cunha; Francisco Paula da Fonseca; Gustavo Cardoso Guimaraes; Stenio de Cassio Zequi
Journal:  World J Urol       Date:  2011-10-04       Impact factor: 4.226

4.  Visualization of CD44 and CD133 in normal pancreas and pancreatic ductal adenocarcinomas: non-overlapping membrane expression in cell populations positive for both markers.

Authors:  Heike Immervoll; Dag Hoem; Ole Johnny Steffensen; Hrvoje Miletic; Anders Molven
Journal:  J Histochem Cytochem       Date:  2011-04       Impact factor: 2.479

5.  Differential CD133 expression distinguishes malignant from benign papillary lesions of the breast.

Authors:  Chih-Hung Lin; Chia-Hsing Liu; Chien-Hui Wen; Pei-Ling Ko; Chee-Yin Chai
Journal:  Virchows Arch       Date:  2014-11-30       Impact factor: 4.064

Review 6.  Pancreatic cancer stem cells - update and future perspectives.

Authors:  Enza Lonardo; Patrick C Hermann; Christopher Heeschen
Journal:  Mol Oncol       Date:  2010-06-09       Impact factor: 6.603

7.  Increased CD133 expression after preoperative chemoradiotherapy in rectal cancers other than mucin-rich tumors.

Authors:  Chih-Hung Lin; Wan-Tzu Chen; Chia-Hsing Liu; Hung-Pei Tsai; Chun-Chieh Wu; Chee-Yin Chai
Journal:  Virchows Arch       Date:  2012-03-28       Impact factor: 4.064

8.  Expression of the stem cell markers CD133 and nestin in pancreatic ductal adenocarcinoma and clinical relevance.

Authors:  Hyung-Seok Kim; Seon-Young Yoo; Kyung-Tae Kim; Jong-Tae Park; Hyun-Jong Kim; Jung-Chul Kim
Journal:  Int J Clin Exp Pathol       Date:  2012-10-01

9.  Commentary: "prom1 function in development, intestinal inflammation, and intestinal tumorigenesis".

Authors:  Christine A Fargeas; Edgar Büttner; Denis Corbeil
Journal:  Front Oncol       Date:  2015-04-21       Impact factor: 6.244

10.  CD133 expression is not an independent prognostic factor in stage II and III colorectal cancer but may predict the better outcome in patients with adjuvant therapy.

Authors:  Khalilullah Mia-Jan; So Young Jung; Ik-Yong Kim; Sung Soo Oh; EunHee Choi; Sei Jin Chang; Tae Young Kang; Mee-Yon Cho
Journal:  BMC Cancer       Date:  2013-03-28       Impact factor: 4.430

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