1,721,013 research outputs found
Molecular pathways implicated in pancreatic ductal cancer are not involved in exocrine nonductal or endocrine tumorigenesis
No full textThe description of the molecular pathways implicated in pancreatic ductal carcinomas
Genomic RDA for the identification of chromosomal aberrations in pancreatic cancer: merits and in drawbacks
No full textno availabl
Endoskopische Diagnostik von Helicobacter pylori: Die klinische Herausforderung von suppressiven Bedingungen
No full textLoss of the Y chromosome is one of the most frequent chromosomal imbalances in pancreatic cancer
No full textno availabl
Genome-wide allelotyping of pancreatic acinar cell and non-functional endocrine tumors
No full textGenome-wide allelotyping of pancreatic acinar cell permitted the molecular differential diagnosis with non-functional endocrine tumor
Chromosomal imbalances in pancreatic tumors detected by arbitrarily primed PCR fingerprinting
No full textThe study revealed a chromosomal imbalances of pancreatic tumors, using arbitrarily primed PCR fingerprintin
Differentiation of multiple types of pancreatico-biliary tumors by molecular analysis of clinical specimens
No full textTimely and accurate diagnosis of pancreatic ductal adenocarcinoma (PDAC)
is critical in order to provide adequate treatment to patients. However,
the clinical signs and symptoms of PDAC are shared by several types of
malignant or benign tumors which may be difficult to differentiate from
PDAC with conventional diagnostic procedures. Among others, these
include ampullary cancers, solid pseudopapillary tumors, and
adenocarcinomas of the distant bile duct, as well as inflammatory masses
developing in chronic pancreatitis. Here, we report an approach to
accurately differentiate between these different types of pancreatic
masses based on molecular analysis of biopsy material. A total of 156
bulk tissue and fine needle aspiration biopsy samples were analyzed
using a dedicated diagnostic cDNA array and a composite classification
algorithm developed based on linear support vector machines. All five
histological subtypes of pancreatic masses were clearly separable with
100\% accuracy when using all 156 individual samples for classification.
Generalized performance of the classification system was tested by
10x10-fold cross validation (100 test runs). Correct classification into
the five diagnostic groups was demonstrated for 81.5\% of 1,560 test set
predictions. Performance increased to 85.3\% accuracy when PDAC and
distant bile duct carcinomas were combined in a single diagnostic class.
Importantly, overall sensitivity of detection of malignant disease was
92.2\%. The molecular diagnostic approach presented here is suitable to
significantly aid in the differential diagnosis of undetermined
pancreatic masses. To our knowledge, this is the first study reporting
accurate differentiation between several types of pancreatico-biliary
tumors in a single molecular analytical procedure
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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