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      Mining for Candidate Genes Related to Pancreatic Cancer Using Protein-Protein Interactions and a Shortest Path Approach

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          Abstract

          Pancreatic cancer (PC) is a highly malignant tumor derived from pancreas tissue and is one of the leading causes of death from cancer. Its molecular mechanism has been partially revealed by validating its oncogenes and tumor suppressor genes; however, the available data remain insufficient for medical workers to design effective treatments. Large-scale identification of PC-related genes can promote studies on PC. In this study, we propose a computational method for mining new candidate PC-related genes. A large network was constructed using protein-protein interaction information, and a shortest path approach was applied to mine new candidate genes based on validated PC-related genes. In addition, a permutation test was adopted to further select key candidate genes. Finally, for all discovered candidate genes, the likelihood that the genes are novel PC-related genes is discussed based on their currently known functions.

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          Most cited references163

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          Addressing the challenges of pancreatic cancer: future directions for improving outcomes.

          Pancreatic ductal adenocarcinoma (PDAC), which accounts for more than 90% of all pancreatic tumours, is a devastating malignancy with an extremely poor prognosis, as shown by a 1-year survival rate of around 18% for all stages of the disease. The low survival rates associated with PDAC primarily reflect the fact that tumours progress rapidly with few specific symptoms and are thus at an advanced stage at diagnosis in most patients. As a result, there is an urgent need to develop accurate markers of pre-invasive pancreatic neoplasms in order to facilitate prediction of cancer risk and to help diagnose the disease at an earlier stage. However, screening for early diagnosis of prostate cancer remains challenging and identifying a highly accurate, low-cost screening test for early PDAC for use in clinical practice remains an important unmet need. More effective therapies are also crucial in PDAC, since progress in identifying novel therapies has been hampered by the genetic complexity of the disease and treatment remains a major challenge. Presently, the greatest step towards improved treatment efficacy has been made in the field of palliative chemotherapy by introducing FOLFIRINOX (folinic acid, 5-fluorouracil, irinotecan and oxaliplatin) and gemcitabine/nab-paclitaxel. Strategies designed to raise the profile of PDAC in research and clinical practice are a further requirement in order to ensure the best treatment for patients. This article proposes a number of approaches that may help to accelerate progress in treating patients with PDAC, which, in turn, may be expected to improve the quality of life and survival for those suffering from this devastating disease.
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            Prospective risk of pancreatic cancer in familial pancreatic cancer kindreds.

            Individuals with a family history of pancreatic cancer have an increased risk of developing pancreatic cancer. Quantification of this risk provides a rational basis for cancer risk counseling and for screening for early pancreatic cancer. In a prospective registry-based study, we estimated the risk of pancreatic cancer in individuals with a family history of pancreatic cancer. Standardized incidence ratios were calculated by comparing the number of incident pancreatic cancers observed with those expected using Surveillance, Epidemiology and End Results (SEER) rates. Familial pancreatic cancer (FPC) kindreds were defined as kindreds having at least one pair of first-degree relatives with pancreatic cancer, and sporadic pancreatic cancer (SPC) kindreds as families without such an affected pair. Nineteen incident pancreatic cancers developed among 5,179 individuals from 838 kindreds (at baseline, 370 FPC kindreds and 468 SPC kindreds). Of these 5,179 individuals, 3,957 had at least one first-degree relative with pancreatic cancer and contributed 10,538 person-years of follow-up. In this group, the observed-to-expected rate of pancreatic cancer was significantly elevated in members of FPC kindreds [9.0; 95% confidence interval (CI), 4.5-16.1], but not in the SPC kindreds (1.8; 95% CI., 0.22-6.4). This risk in FPC kindreds was elevated in individuals with three (32.0; 95% CI, 10.2-74.7), two (6.4; CI, 1.8-16.4), or one (4.6; CI, 0.5-16.4) first-degree relative(s) with pancreatic cancer. Risk was not increased among 369 spouses and other genetically unrelated relatives. Risk was higher in smokers than in nonsmokers. Individuals with a strong family history of pancreatic cancer have a significantly increased risk of developing pancreatic cancer.
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              Cancer-associated protein kinase C mutations reveal kinase's role as tumor suppressor.

              Protein kinase C (PKC) isozymes have remained elusive cancer targets despite the unambiguous tumor promoting function of their potent ligands, phorbol esters, and the prevalence of their mutations. We analyzed 8% of PKC mutations identified in human cancers and found that, surprisingly, most were loss of function and none were activating. Loss-of-function mutations occurred in all PKC subgroups and impeded second-messenger binding, phosphorylation, or catalysis. Correction of a loss-of-function PKCβ mutation by CRISPR-mediated genome editing in a patient-derived colon cancer cell line suppressed anchorage-independent growth and reduced tumor growth in a xenograft model. Hemizygous deletion promoted anchorage-independent growth, revealing that PKCβ is haploinsufficient for tumor suppression. Several mutations were dominant negative, suppressing global PKC signaling output, and bioinformatic analysis suggested that PKC mutations cooperate with co-occurring mutations in cancer drivers. These data establish that PKC isozymes generally function as tumor suppressors, indicating that therapies should focus on restoring, not inhibiting, PKC activity.
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                Author and article information

                Journal
                Biomed Res Int
                Biomed Res Int
                BMRI
                BioMed Research International
                Hindawi Publishing Corporation
                2314-6133
                2314-6141
                2015
                3 November 2015
                : 2015
                : 623121
                Affiliations
                1Institute of Health Sciences, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS) & Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200031, China
                2College of Life Sciences, Shanghai University, Shanghai 200444, China
                Author notes
                *Xiang-Yin Kong: xykong@ 123456sibs.ac.cn

                Academic Editor: Jialiang Yang

                Article
                10.1155/2015/623121
                4647023
                26613085
                b7282c60-41c2-45d8-a217-e80d3a9ee35d
                Copyright © 2015 Fei Yuan et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 6 September 2015
                : 15 October 2015
                Categories
                Research Article

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