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Pancreatic ductal adenocarcinoma (PDAC) is a tumor with an extremely poor prognosis, predominantly as a result of chemotherapy resistance and numerous somatic mutations. Consequently, PDAC is a prime candidate for the use of sequencing to identify causative mutations, facilitating subsequent administration of targeted therapy. In a feasibility study, we retrospectively assessed the therapeutic recommendations of a novel, evidence-based software that analyzes next-generation sequencing (NGS) data using a large panel of pharmacogenomic biomarkers for efficacy and toxicity. Tissue from 14 patients with PDAC was sequenced using NGS with a 620 gene panel. FASTQ files were fed into treatmentmap. The results were compared with chemotherapy in the patients, including all side effects. No changes in therapy were made. Known driver mutations for PDAC were confirmed (e.g. KRAS, TP53). Software analysis revealed positive biomarkers for predicted effective and ineffective treatments in all patients. At least one biomarker associated with increased toxicity could be detected in all patients. Patients had been receiving one of the currently approved chemotherapy agents. In two patients, toxicity could have been correctly predicted by the software analysis. The results suggest that NGS, in combination with an evidence-based software, could be conducted within a 2-week period, thus being feasible for clinical routine. Therapy recommendations were principally off-label use. Based on the predominant KRAS mutations, other drugs were predicted to be ineffective. The pharmacogenomic biomarkers indicative of increased toxicity could be retrospectively linked to reported negative side effects in the respective patients. Finally, the occurrence of somatic and germline mutations in cancer syndrome-associated genes is noteworthy, despite a high frequency of these particular variants in the background population. These results suggest software-analysis of NGS data provides evidence-based information on effective, ineffective and toxic drugs, potentially forming the basis for precision cancer medicine in PDAC.

e16214Background: Pancreatic cancer (PDAC) is almost resistant to therapy, yet some patients profit from targeted therapy. We performed NGS on PDAC tissue and evidence-based, AI-supported evaluatio...

Primary extramedullary plasmacytomas are infrequent, typically solitary, plasma cell neoplasms that generally pursue an indolent clinical course but may, rarely, convert to multiple myeloma. Phenotypic differences between these two entities are not well defined. Twenty-eight cases of primary extramedullary plasmacytoma and 26 cases of both medullary (n = 17) and extramedullary (n = 9) multiple myeloma were analysed for the expression of proteins known to play a role in the biology of multiple myeloma. Immunohistochemistry was performed on paraffin wax sections using antibodies against cyclin D1, Bcl-2, Bcl-xL, p27, p21, p53, MIB1, CD20, and CD56. Twenty-three extramedullary plasmacytomas were localized in the upper aerodigestive tract, four in the lymph nodes, and one in the testis. There was a strong male predominance (M : F = 6 : 1). None of the patients died from the disease or progressed to multiple myeloma (mean follow-up 50 months). Nine patients developed local relapse and one patient's tumour evolved into a B-cell non-Hodgkin's lymphoma. In contrast to both intra- and extra-medullary multiple myeloma, extramedullary plasmacytoma showed absence of cyclin D1 (p < 0.001) and infrequent expression of CD56 (p < 0.001). Furthermore, extramedullary plasmacytomas were characterized by weaker staining for Bcl-2 protein and rare overexpression of p21 and p53. In comparison to extramedullary multiple myeloma, extramedullary plasmacytoma showed a more mature morphology and lower proliferation indices (p = 0.008). There was no association between the phenotypic parameters investigated and clinical outcome in extramedullary plasmacytoma. In summary, extramedullary plasmacytoma and multiple myeloma show significant immunophenotypic differences, some of which may be of both diagnostic utility and biological relevance.

Discordant bone marrow (BM) involvement in patients with a diagnosis of large-cell non-Hodgkin's lymphoma (NHL) is characterized by marrow infiltrates predominantly composed of small lymphoid cell, cytologically compatible with low-grade NHL. Although this phenomenon is well described morphologically, molecular data concerning the relationship of the two lesions are lacking. The aim of the study was to investigate the clonal relationship of discordant lymphoma manifestations by using immunoglobulin heavy chain gene (IgH), as well as bcl-2 rearrangements, as molecular markers. IgH rearrangements were amplified by PCR with consensus primers directed against framework regions 3 or 2 (FR3 and FR2), followed by automated fragment length analysis and sequencing in selected cases. Rearrangements of the bcl-2 gene were identified with primers against the major breakpoint region. Small BM infiltrates were isolated by laser capture microdissection. In addition, immunohistochemistry was performed on paraffin sections using antibodies against CD3, CD10, CD20, bcl-2, bcl-6, p53, and the Ki67 antigen. Paraffin-embedded tissues of 21 cases diagnosed as diffuse large B-cell lymphoma (DLBCL) with discordant BM involvement and no previous history of low-grade B-cell NHL were analyzed. After review of immunohistochemical stains, 5 cases were excluded either as concordant BM infiltrates by large-cell lymphoma with abundant reactive T-cells (2 cases) or as benign, reactive lymphoid infiltrates (3 cases), as confirmed by a polyclonal pattern in the IgH analysis. Of the remaining 16 cases, a common clonal origin was confirmed in 8 cases by the presence of an identical clonal IgH rearrangement or bcl-2 rearrangement. In 4 cases, identification of distinct IgH or bcl-2 rearrangements gave evidence for the presence of two clonally unrelated neoplasms. The remaining 4 cases were not evaluable for technical reasons. Morphological, phenotypical, and molecular findings were compatible with a lymphoma of germinal center origin in the majority of cases. However, in 4 cases, flow cytometric analysis of the BM infiltrates revealed a B-cell chronic lymphocytic leukemia phenotype. Two of these cases were clonally related to the DLBCL and thus represented Richter's transformation. In summary, discordant BM infiltrates in DLBCL represent a heterogeneous group of disorders, encompassing cases with a clonally related, clinically occult small-cell component, as well as cases with two clonally distinct, unrelated B-cell neoplasms presenting synchronously at different locations.

Background. For many tumors, therapeutic options are sparse beyond the guidelines, especially for pancreatic cancer. At the same time, more and more biomarkers are known, informing about or supporting treatment decisions. Finally, tumor DNA analysis with next generation sequencing (NGS) is quickly becoming a routine test, at least for tumors. However, to analyse the vast amount of data and provide concrete, evidence-based treatment recommendations has been a challenge. Methods. Applying NGS in a quality controlled set-up together with the newly developed evidence-based software tool EngineusGUIDETM (CE-marked). Results. During the time from Oct 2013 until Oct 2015, 87 patients were analysed with EngineusGUIDE. In 7 cases, more than one tumor was investigated. NGS was performed (WXS = 48; panel/paired = 16, panel = 23). Sequencing could be performed in all but one patient (Whole Exome; bone metastasis). Sequencing quality was insufficient for analysis in 3 cases (paired panel), sequencing revealed insufficient tumor content in the sample for one patient (Whole Exome) leaving 82 patients. The indication was: Pancreatic Neoplasms = 21 cases; Colorectal Neoplasms = 12; Breast Neoplasms = 5; CUP = 6; NSCLC = 3; 2 cases each for Bronchial Neoplasms, Adenoid Cystic Carcinoma, Common Bile Duct Neoplasms, Glioblastoma, Multiple Myeloma, Prostatic Neoplasms and 1 case each for Adenocarcinoma, Duodenal Neoplasms, Endometrial Neoplasms, Hemangiosarcoma, Hypopharyngeal Neoplasms, Leukemia (Lymphocytic, Chronic, B-Cell), Liposarcoma, Liver Neoplasms, Lung Neoplasms, B-Cell Lymphoma, Mantle-Cell Lymphoma, Meningioma, Oropharyngeal Neoplasms, Ovarian Neoplasms, Paranasal Sinus Neoplasms, Parathyroid Neoplasms, Sarcoma, Sigmoid Neoplasms, Squamous Cell Neoplasms, Stomach Neoplasms, Thyroid Neoplasms, Urinary Bladder Neoplasms, Uveal melanoma. In 67/82 patients, druggable targets (response biomarkers) could be identified (range 0-8; median 2). In 45/82 patients (range 0-5; median 1) biomarkers indicated lack of efficacy (e.g. KRAS mutation in CRC). In 65/82 patients, biomarkers indicated increased toxicity (range 0-7; median 2), in 19/82 patients FDA-approved biomarkers for toxicity were detected (28 biomarkers). Of the positive biomarkers, 40 biomarkers in 26 patients indicated drugs approved in the indication, 75 biomarkers in 45 patients indicated approved drugs, and 58 biomarkers in 39 patients indicated experimental drugs (pre-clinical and phase I - III). Six patients have already received drugs recommended by EngineusGUIDE. In 11 patients, toxicity markers may explain observed toxicity during previous treatment. We are currently collecting the outcome parameters of EngineusGUIDE recommendations. Citation Format: Matthias Löhr, Katrin Stecker, Caroline Huelsewig, Sandra Morandell, Isin Ertongur, Sarah Luke-Glaser, Anna Laib, Linnéa Malgerud, Carlos Fernández Moro, Masoud Karimi, Johan Permert, Rainer Heuchel, Johan Lindberg, Valtteri Wirta, Alexander Picker, Marco Del Chiaro, Stephan L. Haas, Caroline S. Verbek, Lars Engstrand, Jens Siveke, David Jackson, Henrik Grönberg, Dirk Jäger, Stephan Brock. An evidence-based software tool for personalized cancer medicine to recommend therapeutic options and avoid toxicity. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3165.

377 Background: Assignment of patients (pts) with UICC-stage II colorectal cancer (CRC) to adjuvant therapy remains controversial. The clinical utility of histo-pathological parameters (pT4, L+, V+) as well as tumor RNA expression signatures like Oncotype Dx Colon Cancer Assay, ColoPrint, or Predictor C is low given their positive predictive value (PPV) of 0.13, 0.22, 0.19, and 0.33, respectively, when adjusted to an incidence of 10% for occurrence of metastatic disease (mets) within 3 years after diagnosis. Methods: We applied deep amplicon sequencing of 48 well-known cancer genes to DNA samples of primary tumors from 173 pts with UICC-stage II CRC using the Illumina MiSeq technology. Patients were selected from a prospective, multicenter clinical diagnostic study named MSKK. More than 6,500 patients with CRC have been recruited into this study conducted by 39 hospitals in Germany. 79 of the 173 pts had progression of disease events within 3 years after R0 resection including 40 pts with mets, 12 pts with local recurrences, and 27 pts with secondary malignancies. 94 pts remained progression-free. Results: Deep sequencing revealed a total of 2,221 sequence variations (SV) including missense, stop, InDel, noncoding, nonsense SV. 401 SV were in COSMIC, 750 SV in normal tissue. The remaining 1471 SV served as basis for development of SV-signatures (SVS) for prediction of progression events in a classical double-nested bootstrap approach in order to generate second order unbiased estimates of performance of SVS, namely sensitivity(S+), specificity (S-), PPV, and negative predictive value (NPV). The best SVS for prediction of metastases contained SV in less than 15 genes and has a S+ of 0.41, S- of 0.93, PPV of 0.40, and NPV of 0.93 (incidence of metastasis: 10%). The best SVS for prediction any progression event has a S+ of 0.33, S- of 0.93, PPV of 0.54, and NPV of 0.84 (incidence for any progression = 20.5%). Conclusions: This deep sequencing based prognostic tissue test with a PPV of 40% and a NPV of 93% represents a milestone over prognostic tests based on RNA expression. The increased PPV leads to more patients being treated correctly with adjuvant therapy.