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Background: Diabetes is a risk factor associated with pancreatic ductal adenocarcinoma (PDAC), and new adult-onset diabetes can be an early sign of pancreatic malignancy. Development of blood-based biomarkers to identify diabetic patients who warrant imaging tests for cancer detection may represent a realistic approach to facilitate earlier diagnosis of PDAC in a risk population. Methods: A spectral library-based proteomic platform was applied to interrogate biomarker candidates in plasma samples from clinically well-defined diabetic cohorts with and without PDAC. Random forest algorithm was used for prediction model building and receiver operating characteristic (ROC) curve analysis was applied to evaluate the prediction probability of potential biomarker panels. Results: Several biomarker panels were cross-validated in the context of detection of PDAC within a diabetic background. In combination with carbohydrate antigen 19-9 (CA19-9), the panel, which consisted of apolipoprotein A-IV (APOA4), monocyte differentiation antigen CD14 (CD14), tetranectin (CLEC3B), gelsolin (GSN), histidine-rich glycoprotein (HRG), inter-alpha-trypsin inhibitor heavy chain H3 (ITIH3), plasma kallikrein (KLKB1), leucine-rich alpha-2-glycoprotein (LRG1), pigment epithelium-derived factor (SERPINF1), plasma protease C1 inhibitor (SERPING1), and metalloproteinase inhibitor 1 (TIMP1), demonstrated an area under curve (AUC) of 0.85 and a two-fold increase in detection accuracy compared to CA19-9 alone. The study further evaluated the correlations of protein candidates and their influences on the performance of biomarker panels. Conclusions: Proteomics-based multiplex biomarker panels improved the detection accuracy for diagnosis of early stage PDAC in diabetic patients.

SummaryThe severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2)‐associated coronavirus disease 2019 (COVID‐19) is primarily manifested as a respiratory tract infection, but may affect and cause complications in multiple organ systems (cardiovascular, gastrointestinal, kidneys, haematopoietic and immune systems), while no proven specific therapy exists. The challenges associated with COVID‐19 are even greater for patients with light chain (AL) amyloidosis, a rare multisystemic disease affecting the heart, kidneys, liver, gastrointestinal and nervous system. Patients with AL amyloidosis may need to receive chemotherapy, which probably increases infection risk. Management of COVID‐19 may be particularly challenging in patients with AL amyloidosis, who often present with cardiac dysfunction, nephrotic syndrome, neuropathy, low blood pressure and gastrointestinal symptoms. In addition, patients with AL amyloidosis may be more susceptible to toxicities of drugs used to manage COVID‐19. Access to health care may be difficult or limited, diagnosis of AL amyloidosis may be delayed with detrimental consequences and treatment administration may need modification. Both patients and treating physicians need to adapt in a new reality.

Abstract This position statement from the Heart Failure Association of the European Society of Cardiology Cardio-Oncology Study Group in collaboration with the International Cardio-Oncology Society presents practical, easy-to-use and evidence-based risk stratification tools for oncologists, haemato-oncologists and cardiologists to use in their clinical practice to risk stratify oncology patients prior to receiving cancer therapies known to cause heart failure or other serious cardiovascular toxicities. Baseline risk stratification proformas are presented for oncology patients prior to receiving the following cancer therapies: anthracycline chemotherapy, HER2-targeted therapies such as trastuzumab, vascular endothelial growth factor inhibitors, second and third generation multi-targeted kinase inhibitors for chronic myeloid leukaemia targeting BCR-ABL, multiple myeloma therapies (proteasome inhibitors and immunomodulatory drugs), RAF and MEK inhibitors or androgen deprivation therapies. Applying these risk stratification proformas will allow clinicians to stratify cancer patients into low, medium, high and very high risk of cardiovascular complications prior to starting treatment, with the aim of improving personalised approaches to minimise the risk of cardiovascular toxicity from cancer therapies.

TPS4661 Background: Liposomal irinotecan administered with 5-fluorouracil/leucovorin (5-FU/LV) is approved in the USA for metastatic pancreatic ductal adenocarcinoma (mPDAC) following progression with gemcitabine-based therapy. A phase 1/2 study in previously untreated locally advanced/metastatic PDAC showed promising anti-tumor activity with liposomal irinotecan 50 mg/m2 free base + 5-FU 2400 mg/m2 + LV 400 mg/m2 + oxaliplatin (OX) 60 mg/m2 on days 1 and 15 of a 28-day cycle (Wainberg et al. Ann Oncol 2019;30 Suppl 4: SO-005). Herein, we present the design of the phase 3 NAPOLI-3 study investigating the efficacy and safety of this regimen as first-line therapy in patients with mPDAC. Methods: NAPOLI-3 (NCT04083235) is a phase 3, open-label, randomized, global study in adults with histologically/cytologically confirmed pancreatic adenocarcinoma not previously treated in the metastatic setting. Patients are required to have one or more metastatic tumors measurable with computed tomography/magnetic resonance imaging and an Eastern Cooperative Oncology Group performance status score of 0–1. Site activation began in Dec 2019 and enrollment is ongoing. Random allocation (1:1) of 750 patients is planned to liposomal irinotecan + 5-FU/LV + OX (regimen as per phase 1/2 study) or nab-paclitaxel 125 mg/m2 + gemcitabine 1000 mg/m2 on days 1, 8 and 15 in a 28-day cycle. The primary endpoint is overall survival (OS). Secondary endpoints (progression-free survival [PFS] and overall response rate assessed with Response Evaluation Criteria in Solid Tumors v1.1 criteria) will be compared only if the primary endpoint shows superiority for liposomal irinotecan + 5-FU/ LV + OX over nab-paclitaxel + gemcitabine. Safety assessments include adverse-event monitoring. Patients will continue treatment until disease progression, unacceptable toxicity or study withdrawal, and will then be followed for survival every 2 months until death or study end (when all patients have died, withdrawn consent or are lost to follow-up). Clinical trial information: NCT04083235 .

1512 Background: Tobacco smoking profoundly impacts LC risk; however, data are limited as to what extent SC prior to diagnosis impacts LC overall survival (OS) and lung cancer specific survival (LCSS). LC screening offers a possible teachable moment, but there is uncertainty of SC benefits after a lifetime of smoking. We use the ILCCO database to answer if SC prior to LC dx is associated with better OS and LCSS, considering time since smoking cessation (TSSC). Methods: Using individual data, analysis was performed on 17 ILCCO studies with available TSSC to estimate survival using univariable analysis and models of stage-adjusted and cumulative smoking-adjusted multivariable analysis. Adjusted Hazard Ratios (aHR) from Cox models, cubic spline smooth curves and Kaplan-Meier curves were created. Sensitivity analysis was performed for TSSC and LCSS on 13 studies. Results: Of 34649 patients, 14322 (41%) were current smokers 14273 (41%) ex-smokers and 6054 (18%) never smokers at diagnosis. We confirmed that ex-smokers (aHR 0.88 CI 0.86-0.91) and never smokers (aHR 0.76 CI 0.73-0.8) improved OS compared to current smokers. Amongst ex-smokers, < 2y TSSC (aHR 0.88 CI 0.82-0.94), 2-5y TSSC (aHR 0.83 CI 0.77-0.90) and > 5y TSSC (aHR 0.8 CI 0.76-0.84) had improved OS compared to CS. Sensitivity analysis showed a trend towards improved LCSS survival for < 2y TSSC (aHR 0.95 CI 0.86-1.05) and 2-5y TSSC (aHR 0.93 CI 0.83-1.04), whereas > 5y TSSC significantly improved LCSS by 15% (aHR 0.85 CI 0.78-0.92). To mimic the LC screening participants, in analysis of > 30 pack-years individuals, associations were strikingly strong: < 2y TSSC had improved OS by 14% (aHR 0.86 CI 0.80-0.93); 2-5y TSSC by 17% (aHR 0.83 CI 0.76-0.90); and > 5 TSSC by 22% (aHR 0.78 CI 0.74-0.83), compared to current smokers; for < 30 packs-years, a trend towards better OS was observed for < 2y TSSC (aHR 0.95 CI 0.92-1.02) and 2-5y TSSC (aHR 0.86 CI 0.74-1.01), whereas > 5y TSSC improved OS by 23% (aHR 0.77 CI 0.72-0.82). Conclusions: Among ex-smokers, the risk of overall death was reduced by 12% on < 2y TSSC, 17% on 2-5y TSSC and 20% > 5y TSSC, whereas for LCSS, the benefit was significant only for > 5y TSCC, compared to current smokers at time of diagnosis. Here we demonstrate that convincing screening participants to quit smoking at any point of their trajectory, even just prior to dx such as < 2y TSSC, improved OS, and LCSS benefit was present beyond 5y of quitting. These relationships are independent of pack-years, age, across all stages and other prognostic variables.

Background and purposeHereditary transthyretin (hATTR) amyloidosis causes progressive polyneuropathy resulting from transthyretin (TTR) amyloid deposition throughout the body, including the peripheral nerves. The efficacy and safety of inotersen, an antisense oligonucleotide inhibitor of TTR protein production, were demonstrated in the pivotal NEURO‐TTR study in patients with hATTR polyneuropathy. Here, the long‐term efficacy and safety of inotersen are assessed in an ongoing open‐label extension (OLE) study.MethodsPatients who completed NEURO‐TTR were eligible to enroll in the OLE (NCT02175004). Efficacy assessments included the modified Neuropathy Impairment Score plus seven neurophysiological tests composite score (mNIS + 7), the Norfolk Quality of Life – Diabetic Neuropathy (Norfolk QOL‐DN) questionnaire total score and the Short‐Form 36 Health Survey (SF‐36) Physical Component Summary (PCS) score. Safety and tolerability were also assessed.ResultsOverall, 97% (135/139) of patients who completed NEURO‐TTR enrolled in the OLE. Patients who received inotersen for 39 cumulative months in NEURO‐TTR and the OLE continued to show benefit; patients who switched from placebo to inotersen in the OLE demonstrated improvement or stabilization of neurological disease progression by mNIS + 7, Norfolk QOL‐DN and SF‐36 PCS. No new safety concerns were identified. There was no evidence of increased risk for grade 4 thrombocytopenia or severe renal events with increased duration of inotersen exposure.ConclusionInotersen slowed disease progression and reduced deterioration of quality of life in patients with hATTR polyneuropathy. Early treatment with inotersen resulted in greater long‐term disease stabilization than delayed initiation. Routine platelet and renal safety monitoring were effective; no new safety signals were observed.

Abstract Background Making genomic data available at the point-of-care and for research is critical for the success of the Precision Medicine Initiative (PMI), a research initiative which seeks to change health care by “tak(ing) into account individual differences in people's genes, environments, and lifestyles.” The Office of the National Coordinator for Health Information Technology (ONC) led Sync for Genes, a program to develop standards that make genomic data available when and where it matters most. This article discusses lessons learned from recent Sync for Genes activities. Objectives The goals of Sync for Genes were to (1) demonstrate exchange of genomic data using health data standards, (2) provide feedback for refinement of health data standards, and (3) synthesize project experiences to support the integration of genomic data at the point-of-care and for research. Methods Four organizations participated in a program to test the Health Level Seven International (HL7®) Fast Healthcare Interoperability Resources (FHIR®) standard, which supports sharing genomic data. ONC provided access to subject matter experts, resources, tools, and technical guidance to support testing activities. Three of the four organizations participated in HL7 FHIR Connectathons to test FHIR's ability to exchange genomic diagnostic reports. Results The organizations successfully demonstrated exchange of genomic diagnostic reports using FHIR. The feedback and artifacts that resulted from these activities were shared with HL7 and made publicly available. Four areas were identified as important considerations for similar projects: (1) FHIR proficiency, (2) developer support, (3) project scope, and (4) bridging health information technology and genomic expertise. Conclusion Precision medicine is a rapidly evolving field, and there is opportunity to continue maturing health data standards for the exchange of necessary genomic data, increasing the likelihood that the standard supports the needs of users.

Abstract Background: IL-6 is important for proliferation and inhibition of apoptosis in malignant plasma cells. Understanding the role of IL-6 receptor alpha chain (CD126) in the pathogenesis of plasma cell disorders may help in developing future treatment therapies for these diseases. A previous study has shown that CD126 (alpha subunit of IL-6 receptor) is expressed distinctly in myeloma, monoclonal gammopathy of unknown significance (MGUS), and plasmacytomas when compared to normal. We performed this study in order to confirm and describe the expression of CD126 in different plasma cell disorders. Design and Methods: Using flow cytometry we assessed CD126 expression on clonal plasma cells from patients with Primary Amyloidosis (n=7), monoclonal gammopathy of undetermined significance (MGUS) (n=13), smoldering Myeloma (SMM) (n=19) and active Myeloma (n=22), as well as normal plasma cells (n=9). Plasma cells were identified by their characteristic CD38/45 expression. The expression of CD126 was separately analyzed on the CD45 positive and negative plasma cells. CD 126 expression was considered significant when more than 20% of the cells had expression. Results: CD126 expression was seen distinctly in plasma cell disorder plasma cells and not in normal plasma cells when all plasma cells were studied together. The highest expression percentages were found in Amyloid (28%) followed closely by MGUS 29(%), then SMM (23%), and Myeloma (12%) cells. The CD45 neg subset was similarly positive in the plasma cell disorder group. In this group, MGUS showed the highest expression percentage followed distantly by Amyloid, Myeloma, and SMM. The CD45 pos subset was uniformly positive in expression of CD126. If was found that this subset expressed higher levels of CD126 in all the studied plasma cell disorders and normal plasma cells when compared to the CD45 neg subset. Conclusion: The findings of this study confirm the increased expression of CD126 in plasma cell disorders when compared to normal plasma cells. The higher expression of CD126 in the CD45 pos plasma cell subset has not been previously described. In addition, the CD45 pos subset expressed higher levels of CD126 in all study groups when compared to the CD45 pos subset. This data contributes to the understanding of IL-6 receptor physiology and confirms the important role of the CD45 pos subset in the proliferation of neoplastic plasma cells. The findings are in accordance with the increased proliferative rates seen in the CD45 fraction of malignant plasma cells.

Abstract Background: Although microvessel density increases significantly from monoclonal gammopathy of undetermined significance (MGUS) to multiple myeloma (MM), we have been unable to demonstrate an increase in expression of VEGF by isolated plasma cells between MGUS and MM (add your Blood ref). When MM cell lines are grown in co-culture with marrow derived stromal cells there is upregulation of VEGF and IL6. This effect is thought to be mediated primarily by the stromal cells, although plasma cells can also secrete these cytokines to form an autocrine pathway. We examined if there is differential expression of VEGF when plasma cells derived from various stages of plasma cell disorders (MGUS, smoldering multiple myeloma (SMM), and MM) are studied in co-culture with stromal cells. Methods: Plasma cells were obtained from fresh marrow aspirates from patients with MGUS, SMM or MM. Normal control plasma cells were obtained at the time of orthopedic surgeries. Plasma cells were isolated from whole marrow using a magnetic bead separation technique with antibodies against CD138. The marrow stromal cells were obtained from an established stromal cell line from a patient with MGUS. Plasma cells were then grown in co-culture with stromal cells, with control wells having either only stromal cells or only plasma cells, with RPMI medium containing 10% fetal bovine serum. The supernatant was removed after 48 hour cultures, spun down to remove cells and frozen at −70C. VEGF and IL6 levels were determined using ELISA kits (R&D, Minneapolis, MN). Results: A total of 71 samples were studied including normals (10), MGUS (8), SMM (15) and MM (38). The median VEGF levels with plasma cells alone were 30.2 pg/mL (range; 16–132), with stromal cells alone was 737 pg/ml (316–1826) and with the co-culture was 1057 pg/mL (306–4267), representing a median increase of 41% (−48% to 331%) with co-culture. There was no significant difference between the disease groups in terms of the baseline VEGF secretion by plasma cells or the increase in VEGF with coculture (Figure). The median IL-6 levels with plasma cells alone were 22.3 pg/mL (range; 4–276), with stromal cells alone was 2457 pg/ml (906–5359) and with the co-culture was 5982 pg/mL (301–129,000), representing a median increase of 99% (−67% to 3362%) with co-culture. There was no significant difference between the disease groups in terms of the baseline VEGF secretion by plasma cells or the increase in VEGF with coculture (Figure). Conclusions: In this study we clearly demonstrate the upregulation of VEGF and IL-6 when primary cells are grown in contact with marrow derived stromal cells validating previous observations with cell lines, and once again highlighting the importance of these cytokines and the marrow microenvironment. However, since there is no significant difference between the various groups studied, higher absolute levels of VEGF and IL-6 in MM may be solely related to the effect of an increased tumor burden on marrow stromal cells. However, this does not exclude differences between disease stages in terms of the marrow stromal cells, which we are currently studying. Figure Figure