scholarly journals Significance of Pathologic Response to Preoperative Therapy in Pancreatic Cancer: The Future Ain’t What It Used To Be

2011 ◽  
Vol 18 (13) ◽  
pp. 3533-3534
Author(s):  
Peter J. Allen
2010 ◽  
Vol 28 (15_suppl) ◽  
pp. 4067-4067
Author(s):  
Y. S. Chun ◽  
H. S. Cooper ◽  
J. C. Watson ◽  
J. P. Hoffman

2011 ◽  
Vol 18 (13) ◽  
pp. 3601-3607 ◽  
Author(s):  
Yun Shin Chun ◽  
Harry S. Cooper ◽  
Steven J. Cohen ◽  
Andre Konski ◽  
Barbara Burtness ◽  
...  

2021 ◽  
Vol 11 (2) ◽  
pp. 127 ◽  
Author(s):  
Beste Turanli ◽  
Esra Yildirim ◽  
Gizem Gulfidan ◽  
Kazim Yalcin Arga ◽  
Raghu Sinha

Pancreatic cancer is one of the most fatal malignancies and the seventh leading cause of cancer-related deaths related to late diagnosis, poor survival rates, and high incidence of metastasis. Unfortunately, pancreatic cancer is predicted to become the third leading cause of cancer deaths in the future. Therefore, diagnosis at the early stages of pancreatic cancer for initial diagnosis or postoperative recurrence is a great challenge, as well as predicting prognosis precisely in the context of biomarker discovery. From the personalized medicine perspective, the lack of molecular biomarkers for patient selection confines tailored therapy options, including selecting drugs and their doses or even diet. Currently, there is no standardized pancreatic cancer screening strategy using molecular biomarkers, but CA19-9 is the most well known marker for the detection of pancreatic cancer. In contrast, recent innovations in high-throughput techniques have enabled the discovery of specific biomarkers of cancers using genomics, transcriptomics, proteomics, metabolomics, glycomics, and metagenomics. Panels combining CA19-9 with other novel biomarkers from different “omics” levels might represent an ideal strategy for the early detection of pancreatic cancer. The systems biology approach may shed a light on biomarker identification of pancreatic cancer by integrating multi-omics approaches. In this review, we provide background information on the current state of pancreatic cancer biomarkers from multi-omics stages. Furthermore, we conclude this review on how multi-omics data may reveal new biomarkers to be used for personalized medicine in the future.


2011 ◽  
Vol 35 (9) ◽  
pp. 2182-2183
Author(s):  
Ernst Hanisch ◽  
Charalabos Batsis
Keyword(s):  

Author(s):  
Yuki Kawaji ◽  
Takanori Yoshikawa ◽  
Katsuji Nakagawa ◽  
Tomoya Emori ◽  
Junya Nuta ◽  
...  

2009 ◽  
Vol 16 (6) ◽  
pp. 1465-1479 ◽  
Author(s):  
John C. Mansour ◽  
Roderich E. Schwarz

2019 ◽  
Vol 3 (2) ◽  
pp. 1-7
Author(s):  
Sunjida Ahmed ◽  
Christopher Schwartz ◽  
M Dewan ◽  
Ruliang Xu

2020 ◽  
Vol 24 (10) ◽  
pp. 2336-2348
Author(s):  
Antolino Laura ◽  
Crovetto Anna ◽  
Matteo Cinquepalmi ◽  
Moschetta Giovanni ◽  
Mattei Maria Sole ◽  
...  

2015 ◽  
Vol 22 (S3) ◽  
pp. 1221-1228 ◽  
Author(s):  
Christina L. Roland ◽  
Matthew H. G. Katz ◽  
Ching-Wei D. Tzeng ◽  
Heather Lin ◽  
Gauri R. Varadhachary ◽  
...  

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