Understanding how stromal signals regulate the development of pancreatic ductal adenocarcinoma (PDAC) may suggest novel therapeutic interventions in this disease. In this study, we assessed the metastatic role of stromal signals suggested to be important in the PDAC microenvironment. Src and IGF-1R phosphorylated the pro-metastatic molecule Annexin A2 (AnxA2) at Y23 and Y333 in response to stromal signals HGF and IGF-1, respectively, and IGF-1 expression was regulated by the Sonic Hedgehog (Shh) pathway. Both Shh and HGF were heterogeneously expressed in PDAC stroma, and only dual inhibition of these pathways could significantly suppress AnxA2 phosphorylation, PDAC growth and metastasis. Taken together, our results illuminate tumor-stromal interactions which drive metastasis, and provide a mechanism-based rationale for a stroma-directed therapy for PDAC.

A biobank is an entity that collects, processes, stores, and distributes biospecimens and relevant data for use in basic, translational, and clinical research. Biobanking of high-quality human biospecimens such as tissue, blood and other bodily fluids along with associated patient clinical information provides a fundamental scientific infrastructure for personalized medicine. Identification of biomarkers that are specifically associated with particular medical conditions such as cancer, cardiovascular disease and neurological disorders are useful for early detection, prevention, and treatment of the diseases. The ability to determine individual tumor biomarkers and to use those biomarkers for disease diagnosis, prognosis and prediction of response to therapy is having a very significant impact on personalized medicine and is rapidly changing the way clinical care is conducted. As a critical requirement for personalized medicine is the availability of a large collection of patient samples with well annotated patient clinical and pathological data, biobanks thus play an important role in personalized medicine advancement. The goal of this chapter is to explore the role of biobanks in personalized medicine and discuss specific needs regarding biobank development for translational and clinical research, especially for personalized medicine advancement.

Cholangiocarcinoma (CCA) is a primary malignancy, which is often diagnosed as locally advanced or metastatic. Previous studies have revealed genomic characteristics of CCA in Western patients, however comprehensive genomic features of CCA in Chinese patients have not been well understood. To explore the specific genomic characteristics of Chinese patients with CCA, a total of 66 patients with CCA, including 44 intrahepatic CCA (iCCA) and 22 extrahepatic CCA (exCCA) cases, were studied. The most commonly altered genes in CCAs were TP53 (62.12%, 41/66), KRAS (36.36%, 24/66), SMAD4 (24.24%, 16/66), TERT (21.21%, 14/66), ARID1A (19.70%, 13/66), CDKN2A (19.70%, 13/66), KMT2C (9.09%, 6/66) and RBM10 (9.09%, 6/66), ERBB2 (7.58%, 5/66) and BRAF (7.58%, 5/66). Many gene mutations, including STK11, CCND1 and FGF19, were only found in iCCA. RBM10 mutations were found to be significantly higher in exCCA. The gene mutations of neurofibromin 1, STK11, CCND1 and FBXW7 specifically occurred in males, whereas gene mutations of ERBB2, AXIN2 and CREBBP specifically occurred in females. ERBB2 mutations were significantly associated with the sex of patients with CCA. Mutations in PIK3CA, FGFR2 and ZNF750 were significantly associated with the age of patients with CCA and TERT mutations were significantly associated with tumor differentiation. Alterations in KMT2C, PBRM1, AXIN2, MAGI2, BRCA2 and SPTA1 were associated with tumor mutational burden. The findings of the present study suggest that targeted sequencing, using next-generation sequencing technology, provides comprehensive and accurate information on genomic alterations, which will provide novel potential biomarkers for the diagnosis of CCA and may guide precise therapeutic strategies for Chinese patients with CCA.