Panel Of Plasma Biomarkers Research Articles

Abstract 75: Plasma Biomarkers of Inflammation and Angiogenesis Predict Cerebral Cavernous Malformation Symptomatic Hemorrhage or Lesional Growth

Introduction: The clinical course of cerebral cavernous malformations (CCMs) is highly unpredictable, with a limited number of cross sectional studies correlating pro-inflammatory genotypes and plasma biomarkers with prior disease severity. We hereby hypothesize that a panel of plasma biomarkers, with reported role in the physiopathology of CCM, may predict subsequent clinically relevant disease activity. Methods: This was a single-site prospective observational cohort study, without planned intervention. Non-fasting peripheral venous blood samples from 55 patients (25 with sporadic and 30 with familial CCM) were collected. Twenty-four plasma biomarkers were quantified and analyzed regarding their predictive association with the occurrence of a symptomatic hemorrhage or lesional growth within a year following the blood sample. We generated the receiver operating characteristic (ROC) curves and area under curves (AUC) for each biomarker individually and for each weighted linear combination of relevant biomarkers. The best model to predict lesional activity was selected as that minimizing the Akaike Information Criterion (AIC), representing parsimonious model offering the best fit to the data with the fewest number of predictors. Results: Eleven patients experienced lesional activity events (5 symptomatic bleeds and 10 lesional growths) within a year after the blood draw. These patients had lower levels of CD14 (p=0.05), IL6 (p=0.04), ROBO4 (p=0.03) and VEGF (p=0.0003), along with higher IL1β (p=0.008) plasma levels. Among the 35 weighted linear combinations of these 5 biomarkers, the best model (with the lowest AIC value=25.3), was the combination including CD14, IL1β, VEGF and ROBO4, predicting a symptomatic bleed or lesional growth with a sensitivity of 86% and specificity of 88% (AUC=0.90, p<0.0001). Conclusion: This is the first study reporting a predictive association between plasma biomarkers and subsequent CCM disease clinical activity. This may be applied in clinical prognostication, and in the stratification of cases in clinical trials.

Diagnostic and Prognostic Plasma Biomarkers for Idiopathic Pneumonia Syndrome after Hematopoietic Cell Transplantation

Idiopathic pneumonia syndrome (IPS) is a noninfectious pulmonary complication after hematopoietic cell transplantation (HCT) and is difficult to diagnose. In 41 patients with IPS, we evaluated 6 candidate proteins in plasma samples at day 7 post-HCT and at onset of IPS to identify potential diagnostic or prognostic biomarkers for IPS. Samples at similar times from 162 HCT recipients without documented infections and 37 HCT recipients with respiratory viral pneumonia served as controls. In multivariable models, a combination of Stimulation-2 (ST2; odds ratio [OR], 2.8; P < .001) and IL-6 (OR, 1.4; P = .025) was the best panel for distinguishing IPS at diagnosis from unaffected controls, whereas tumor necrosis factor receptor 1 (TNFR1; OR, 2.9; P = .002) was the best marker when comparing patients with IPS and viral pneumonia. The areas under the curve of the receiver operating characteristic (ROC) curves for discriminating between IPS and unaffected controls at day 7 post-HCT were .8 for ST2, .75 for IL-6, and .68 for TNFR1. Using estimated sensitivity and specificity values from cutoffs determined with the ROC analysis (cutoff level: ST2, 21 ng/mL; IL-6, 61 pg/mL; TNFR1, 3421 pg/mL), we calculated positive predictive values (PPV) for a range of estimated population prevalence values of IPS. Among the 3 markers, ST2 showed the highest PPV for IPS occurrence. Based on an assumed prevalence of 8%, a positive ST2 test increased likelihood of IPS to 50%. We conclude that a prospective validation study is warranted to determine whether a plasma biomarker panel can aid the noninvasive diagnosis and prognosis of IPS.

Derivation and validation of a two-biomarker panel for diagnosis of ARDS in patients with severe traumatic injuries

BackgroundAcute respiratory distress syndrome (ARDS) is common after severe traumatic injuries but is underdiagnosed and undertreated. We hypothesized that a panel of plasma biomarkers could be used to diagnose ARDS...

A Plasma Biomarker Panel to Identify Surgically Resectable Early-Stage Pancreatic Cancer.

Blood-based biomarkers for early detection of pancreatic ductal adenocarcinoma (PDAC) are urgently needed. Current biomarkers lack high sensitivity and specificity for population screening. The gold-standard biomarker, CA 19-9, also fails to demonstrate the predictive value necessary for early detection. To validate a functional genomics-based plasma migration signature biomarker panel, plasma tissue factor pathway inhibitor (TFPI), tenascin C (TNC-FN III-C), and CA 19-9 levels were measured by enzyme-linked immunosorbent assays in three early-stage PDAC plasma cohorts, including twoindependentblinded validation cohorts containing a total of 43 stage I, 163 stage II, 86 chronic pancreatitis,31 acute biliary obstruction, and 108 controls. Logistic regression models developed classification rules combining TFPI and/or TNC-FN III-C with CA 19-9 for patient cases and control subjects, with or without adjustment for age and diabetes status. Model classification performance was evaluated and analyses repeated among subpopulations without diabetes and pancreatitis history. Two-sided P values were calculated using bootstrap method. The TFPI/TNC-FN III-C/CA 19-9 panel improved CA 19-9 performance in all early-stage cohorts, including discriminating stage IA/IB/IIA, stage IIB, and all early-stage cancer from healthy controls. Statistical significance was reached for a number of subcohorts, including for all early-stage cancer vs healthy controls (cohort 1 AUC = 0.92, 95% CI = 0.86 to 0.96, P = .04; cohort 3 AUC = 0.83, 95% CI = 0.76 to 0.89, P = .045). Among subcohorts without diabetes and pancreatitis history, the panel approaches potential clinical utility for early detection to discriminate early-stage PDAC from healthy controls including an area under the curve (AUC) of 0.87 (95% CI = 0.77 to 0.95) for stage I/IIA, an AUC of 0.93 (95% CI = 0.87 to 0.98) for stage IIB, and a statistically significant AUC of 0.89 (95% CI = 0.82 to 0.95) for all early-stage cancer ( P = .03). TFPI/TNC-FN III-C migration signature adds statistically significantly to CA 19-9's predictive power to detect early-stage PDAC and may have clinical utility for early detection of surgically resectable PDAC, as well as for enhanced survival from this routinely lethal cancer.

Biomarkers of Vascular Integrity in Traumatic Brain Injury and Correlation with Cerebrovascular Reactivity

Objective: Several plasma proteins, such as Angiopoietins (Ang), Tumor Necrosis Factor (TNF), Serum Amyloid A (SAA), Soluble Intercellular Adhesion Molecule (sICAM-1), Von Willebrand Factor (vWF), and Tie2, have been implicated as potential biomarkers of vascular integrity and angiogenesis in traumatic brain and vascular injuries (TBI and TVI). Our goal is to test the hypothesis that (1) plasma biomarkers of vascular integrity and angiogenesis can assess TVI during chronic TBI; (2) Cerebrovascular Reactivity (CVR) may be a sensitive biomarker in chronic TBI and TVI and may correlate with the plasma biomarkers. Design: Plasma levels of 18 proteins were measured using high sensitivity electro-chemiluminescent sandwich immunoassays (Meso Scale Discoveries, LLC). Subjects were 23 patients with chronic TBI and persistent post-concussive symptoms (PCS, TBI-Sx), 9 chronic TBI patients without PCS (recovered TBIs or TBI-Rec), and 21 healthy controls (HC). TVI was assessed using MRI by measuring CVR-CO2 by assessing the BOLD response to hypercapnia. All subjects underwent MRI with hypercapnia challenge. Nominal a=0.05 was judged to be statistically significant. Results: Plasma concentration of Ang-1 was decreased in patients with chronic TBI with symptoms (TBI-Sx) compared to HC or TBI-Rec (p<0.05), as was the ratio of Ang-1/Ang-2 (p<0.05). SAA was decreased in TBI-Rec patients compared to the TBI-Sx group (P<0.01). CVR-CO2 was decreased in TBI-Sx group compared to HC (P<0.05). Baseline CVR-CO2 correlated with plasma levels of VEGF, VEGF-C, and P-selectin in all TBI patients, but not in HC group. Conclusions: A panel of plasma biomarkers (Ang-1/Ang-2, SAA, VEGF, P-selectin, and vWF) and assessment of CVR may be useful as predictive biomarkers for therapies designed to improve cerebrovascular function after TBI.

Normalization of Patient-Identified Plasma Biomarkers in SMNΔ7 Mice following Postnatal SMN Restoration.

Introduction and ObjectiveSpinal muscular atrophy (SMA) is an autosomal recessive motor neuron disorder. SMA is caused by homozygous loss of the SMN1 gene and retention of the SMN2 gene resulting in reduced levels of full length SMN protein that are insufficient for motor neuron function. Various treatments that restore levels of SMN are currently in clinical trials and biomarkers are needed to determine the response to treatment. Here, we sought to investigate in SMA mice a set of plasma analytes, previously identified in patients with SMA to correlate with motor function. The goal was to determine whether levels of plasma markers were altered in the SMNΔ7 mouse model of SMA and whether postnatal SMN restoration resulted in normalization of the biomarkers.MethodsSMNΔ7 and control mice were treated with antisense oligonucleotides (ASO) targeting ISS-N1 to increase SMN protein from SMN2 or scramble ASO (sham treatment) via intracerebroventricular injection on postnatal day 1 (P1). Brain, spinal cord, quadriceps muscle, and liver were analyzed for SMN protein levels at P12 and P90. Ten plasma biomarkers (a subset of biomarkers in the SMA-MAP panel available for analysis in mice) were analyzed in plasma obtained at P12, P30, and P90.ResultsOf the eight plasma biomarkers assessed, 5 were significantly changed in sham treated SMNΔ7 mice compared to control mice and were normalized in SMNΔ7 mice treated with ASO.ConclusionThis study defines a subset of the SMA-MAP plasma biomarker panel that is abnormal in the most commonly used mouse model of SMA. Furthermore, some of these markers are responsive to postnatal SMN restoration. These findings support continued clinical development of these potential prognostic and pharmacodynamic biomarkers.

Validation of a metabolite panel for early diagnosis of type 2 diabetes

BackgroundAccurate, early diagnosis of type 2 diabetes (T2D) would enable more effective clinical management and a reduction in T2D complications. Therefore, we sought to identify plasma metabolite and protein biomarkers that, in combination with glucose, can better predict future T2D compared with glucose alone. MethodsIn this case–control study, we used plasma samples from the Bavarian Red Cross Blood Transfusion Center study (61 T2D cases and 78 non-diabetic controls) for discovering T2D-associated metabolites, and plasma samples from the Personalized Medicine Research Project in Wisconsin (56 T2D cases and 445 non-diabetic controls) for validation. All samples were obtained before or at T2D diagnosis. We tested whether the T2D-associated metabolites could distinguish incident T2D cases from controls, as measured by the area under the receiver operating characteristic curve (AUC). Additionally, we tested six metabolic/pro-inflammatory proteins for their potential to augment the ability of the metabolites to distinguish cases from controls. ResultsA panel of 10 metabolites discriminated better between T2D cases and controls than glucose alone (AUCs: 0.90 vs 0.87; p=2.08×10−5) in Bavarian samples, and associations between these metabolites and T2D were confirmed in Wisconsin samples. With use of either a Bayesian network classifier or ridge logistic regression, the metabolites, with or without the proteins, discriminated incident T2D cases from controls marginally better than glucose in the Wisconsin samples, although the difference in AUCs was not statistically significant. However, when the metabolites and proteins were added to two previously reported T2D prediction models, the AUCs were higher than those of each prediction model alone (AUCs: 0.92 vs 0.87; p=3.96×10−2 and AUCs: 0.91 vs 0.71; p=1.03×10−5, for each model, respectively). ConclusionsCompared with glucose alone or with previously described T2D prediction models, a panel of plasma biomarkers showed promise for improved discrimination of incident T2D, but more investigation is needed to develop an early diagnostic marker.

Abstract P4-02-05: A blinded multicenter phase II study of a panel of plasma biomarkers for the detection of triple negative breast cancer

Abstract Background: Triple negative breast cancers (TNBC) comprise 15-20% of all breast cancers and frequently present as interval cancers with high proliferative rates and increased risk of mortality. There is a clinical need for biomarkers for the early detection of TNBC to complement radiologic imaging. No plasma biomarkers for TNBC currently exist. The purpose of this study is to evaluate a panel of novel plasma biomarkers for TNBC for the discrimination of TNBC and benign breast disease as a crucial step in identifying a panel of plasma biomarkers for early detection. Methods: In a multicenter collaboration between the NCI EDRN and the CPTAC consortium, we conducted a prospective blinded phase II biomarker study that evaluated 76 candidate TNBC plasma biomarkers. Plasma samples collected at the time of diagnosis from 65 TNBC cases and 195 matched controls with benign breast disease without atypia were identified from multiple clinical sites. The samples were distributed as blinded aliquots to the biomarker laboratories for protein and autoantibody detection. Candidate protein (n=54) and autoantibody (n=22) biomarkers were selected and ranked prior to evaluation. All results were centrally analyzed. The sensitivity at 95% specificity was calculated for each biomarker. Effects of age, race, and specimen source on biomarkers were evaluated. Logistic regression was used to assess complementarity of biomarkers. The top three biomarkers underwent verification with an independent set of 60 TNBC cases and 180 matched controls from women undergoing mammography. Results: Statistically significant differences in case versus control signals were observed for 3 biomarkers with sensitivities of 17-23% at 95% specificity (p &amp;lt;0.008, unadjusted) and areas under the curve of 0.55-0.57. These three biomarkers were confirmed in the independent set of 60 cases and 180 controls with sensitivities 12-23% at 95% specificity and cross-validated combined sensitivity of 27%. In the subset of women ages 50-79 (cases n=38, controls n=119), five biomarkers were identified with sensitivities of 15.7-16.2% at 95% specificity (p&amp;lt;0.10). Conclusion: We have developed a pipeline strategy for the validation of plasma biomarkers for detection of breast cancer. At least three biomarkers for TNBC were confirmed in this study. Further evaluation of these biomarkers for early detection is ongoing. Citation Format: Karen S Anderson, Margaret Pepe, Jeffrey Marks, Paul Engstrom, Christos Patriotis, Richard Zangar, Steven Skates, Paul Lampe, Joshua LaBaer, Christopher I Li. A blinded multicenter phase II study of a panel of plasma biomarkers for the detection of triple negative breast cancer [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P4-02-05.

Clinical characteristics associated with postoperative intestinal epithelial barrier dysfunction in children with congenital heart disease.

Children with congenital heart disease have loss of intestinal epithelial barrier function, which increases their risk for postoperative sepsis and organ dysfunction. We do not understand how postoperative cardiopulmonary support or the inflammatory response to cardiopulmonary bypass might alter intestinal epithelial barrier function. We examined variation in a panel of plasma biomarkers to reflect intestinal epithelial barrier function (cellular and paracellular) after cardiopulmonary bypass and in response to routine ICU care. Prospective cohort. University medical center cardiac ICU. Twenty children aged between newborn and 18 years undergoing repair or palliation of congenital heart disease with cardiopulmonary bypass. We measured baseline and repeated plasma intestinal fatty acid-binding protein, citrulline, claudin 3, and dual sugar permeability testing to reflect intestinal epithelial integrity, epithelial function, paracellular integrity, and paracellular function, respectively. We measured baseline and repeated plasma proinflammatory (interleukin-6, tumor necrosis factor-α, and interferon-γ) and anti-inflammatory (interleukin-4 and interleukin-10) cytokines, known to modulate intestinal epithelial barrier function in murine models of cardiopulmonary bypass. All patients had abnormal baseline intestinal fatty acid-binding protein concentrations (mean, 3,815.5 pg/mL; normal, 41-336 pg/mL). Cytokine response to cardiopulmonary bypass was associated with early, but not late, changes in plasma concentrations of intestinal fatty acid-binding protein 2 and citrulline. Variation in biomarker concentrations over time was associated with aspects of ICU care indicating greater severity of illness: claudin 3, intestinal fatty acid-binding protein 2, and dual sugar permeability test ratio were associated with symptoms of feeding intolerance (p < 0.05), whereas intestinal fatty acid-binding protein was positively associated with vasoactive-inotrope score (p = 0.04). Citrulline was associated with larger arteriovenous oxygen saturation difference (p = 0.04) and had a complex relationship with vasoactive-inotrope score. Children undergoing cardiopulmonary bypass for repair or palliation of congenital heart disease are at risk for intestinal injury and often present with evidence for loss of intestinal epithelial integrity preoperatively. Greater severity of illness requiring increased cardiopulmonary support rather than the inflammatory response to cardiopulmonary bypass seems to mediate late postoperative intestinal epithelial barrier function.

Relationship between plasma analytes and SPARE-AD defined brain atrophy patterns in ADNI.

Different inflammatory and metabolic pathways have been associated with Alzheimeŕs disease (AD). However, only recently multi-analyte panels to study a large number of molecules in well characterized cohorts have been made available. These panels could help identify molecules that point to the affected pathways. We studied the relationship between a panel of plasma biomarkers (Human DiscoveryMAP®) and presence of AD-like brain atrophy patterns defined by a previously published index (SPARE-AD) at baseline in subjects of the ADNI cohort. 818 subjects had MRI-derived SPARE-AD scores, of these subjects 69% had plasma biomarkers and 51% had CSF tau and Aβ measurements. Significant analyte-SPARE-AD and analytes correlations were studied in adjusted models. Plasma cortisol and chromogranin A showed a significant association that did not remain significant in the CSF signature adjusted model. Plasma macrophage inhibitory protein-1α and insulin-like growth factor binding protein 2 showed a significant association with brain atrophy in the adjusted model. Cortisol levels showed an inverse association with tests measuring processing speed. Our results indicate that stress and insulin responses and cytokines associated with recruitment of inflammatory cells in MCI-AD are associated with its characteristic AD-like brain atrophy pattern and correlate with clinical changes or CSF biomarkers.

Development and Validation of a Plasma Biomarker Panel for Discerning Clinical Significance of Indeterminate Pulmonary Nodules

The recent findings of the National Lung Screening Trial showed 24.2% of individuals at high risk for lung cancer having one or more indeterminate nodules detected by low-dose computed tomography-based screening, 96.4% of which were eventually confirmed as false positives. These positive scans necessitate additional diagnostic procedures to establish a definitive diagnosis that adds cost and risk to the paradigm. A plasma test able to assign benign versus malignant pathology in high-risk patients would be an invaluable tool to complement low-dose computed tomography-based screening and promote its rapid implementation. We evaluated 17 biomarkers, previously shown to have value in detecting lung cancer, against a discovery cohort, comprising benign (n = 67) cases and lung cancer (n = 69) cases. A Random Forest method based analysis was used to identify the optimal biomarker panel for assigning disease status, which was then validated against a cohort from the Mayo Clinic, comprising patients with benign (n = 61) or malignant (n = 20) indeterminate lung nodules. Our discovery efforts produced a seven-analyte plasma biomarker panel consisting of interleukin 6 (IL-6), IL-10, IL-1ra, sIL-2Rα, stromal cell-derived factor-1α+β, tumor necrosis factor α, and macrophage inflammatory protein 1 α. The sensitivity and specificity of our panel in our validation cohort is 95.0% and 23.3%, respectively. The validated negative predictive value of our panel was 93.8%. We developed a seven-analyte plasma biomarker panel able to identify benign nodules, otherwise deemed indeterminate, with a high degree of accuracy. This panel may have clinical utility in risk-stratifying screen-detected lung nodules, decrease unnecessary follow-up imaging or invasive procedures, and potentially avoid unnecessary morbidity, mortality, and health care costs.

Blood-based protein biomarkers for diagnosis of Alzheimer disease.

To identify plasma biomarkers for the diagnosis of Alzheimer disease (AD). Baseline plasma screening of 151 multiplexed analytes combined with targeted biomarker and clinical pathology data. General community-based, prospective, longitudinal study of aging. A total of 754 healthy individuals serving as controls and 207 participants with AD from the Australian Imaging Biomarker and Lifestyle study (AIBL) cohort with identified biomarkers that were validated in 58 healthy controls and 112 individuals with AD from the Alzheimer Disease Neuroimaging Initiative (ADNI) cohort. A biomarker panel was identified that included markers significantly increased (cortisol, pancreatic polypeptide, insulinlike growth factor binding protein 2, β(2) microglobulin, vascular cell adhesion molecule 1, carcinoembryonic antigen, matrix metalloprotein 2, CD40, macrophage inflammatory protein 1α, superoxide dismutase, and homocysteine) and decreased (apolipoprotein E, epidermal growth factor receptor, hemoglobin, calcium, zinc, interleukin 17, and albumin) in AD. Cross-validated accuracy measures from the AIBL cohort reached a mean (SD) of 85% (3.0%) for sensitivity and specificity and 93% (3.0) for the area under the receiver operating characteristic curve. A second validation using the ADNI cohort attained accuracy measures of 80% (3.0%) for sensitivity and specificity and 85% (3.0) for area under the receiver operating characteristic curve. This study identified a panel of plasma biomarkers that distinguish individuals with AD from cognitively healthy control subjects with high sensitivity and specificity. Cross-validation within the AIBL cohort and further validation within the ADNI cohort provides strong evidence that the identified biomarkers are important for AD diagnosis.

Evaluation of a Previously Suggested Plasma Biomarker Panel to Identify Alzheimer's Disease

There is an urgent need for biomarkers in plasma to identify Alzheimer's disease (AD). It has previously been shown that a signature of 18 plasma proteins can identify AD during pre-dementia and dementia stages (Ray et al, Nature Medicine, 2007). We quantified the same 18 proteins in plasma from 174 controls, 142 patients with AD, and 88 patients with other dementias. Only three of these proteins (EGF, PDG-BB and MIP-1δ) differed significantly in plasma between controls and AD. The 18 proteins could classify patients with AD from controls with low diagnostic precision (area under the ROC curve was 63%). Moreover, they could not distinguish AD from other dementias. In conclusion, independent validation of results is important in explorative biomarker studies.

A Migration Signature and Plasma Biomarker Panel for Pancreatic Adenocarcinoma

Pancreatic ductal adenocarcinoma is a disease of extremely poor prognosis for which there are no reliable markers of asymptomatic disease. To identify pancreatic cancer biomarkers, we focused on a genomic interval proximal to the most common fragile site in the human genome, chromosome 3p12, which undergoes smoking-related breakage, loss of heterozygosity, and homozygous deletion as an early event in many epithelial tumors, including pancreatic cancers. Using a functional genomic approach, we identified a seven-gene panel (TNC, TFPI, TGFBI, SEL-1L, L1CAM, WWTR1, and CDC42BPA) that was differentially expressed across three different expression platforms, including pancreatic tumor/normal samples. In addition, Ingenuity Pathways Analysis (IPA) and literature searches indicated that this seven-gene panel functions in one network associated with cellular movement/morphology/development, indicative of a "migration signature" of the 3p pathway. We tested whether two secreted proteins from this panel, tenascin C (TNC) and tissue factor pathway inhibitor (TFPI), could serve as plasma biomarkers. Plasma ELISA assays for TFPI/TNC resulted in a combined area under the curve (AUC) of 0.88 and, with addition of CA19-9, a combined AUC for the three-gene panel (TNC/TFPI/CA19-9), of 0.99 with 100% specificity at 90% sensitivity and 97.22% sensitivity at 90% specificity. Validation studies using TFPI only in a blinded sample set increased the performance of CA19-9 from an AUC of 0.84 to 0.94 with the two-gene panel. Results identify a novel 3p pathway-associated migration signature and plasma biomarker panel that has utility for discrimination of pancreatic cancer from normal controls and promise for clinical application.

Highlights from Recent Cancer Literature

Highlights from Recent Cancer Literature

Plasma biomarker analysis of a phase I trial of ASA404 (vadimezan) in combination with paclitaxel and carboplatin in Japanese patients with non-small cell lung cancer (NSCLC).

e18035 Background: ASA404 (vadimezan, DMXAA) is a flavonoid, non-tubulin-binding tumor-vascular disrupting agent (Tumor- VDA) that causes irreversible tumor vasculature disruption and extensive hemorrhagic necrosis of the tumor core. In combination with paclitaxel and carboplatin (P/C), ASA404 increased the median overall survival of previously untreated NSCLC patients from 8.8 to 14.0 months in a phase II clinical trial. Methods: A phase I trial assessed the safety profile and tolerability of three dose levels of ASA404 (600, 1,200, and 1,800 mg/m2) administered in combination with P/C (P, 200 mg/m2; C, AUC 6) every 3 weeks in Japanese patients with NSCLC. A panel of plasma biomarkers of angiogenesis and cytokines were evaluated to investigate the pharmacodynamic effect and mechanism of action (MOA) of ASA404. Plasma VEGF and basic FGF (bFGF) were measured by multiplex assays using the Meso-Scale Discovery platform. Plasma IL-8 and macrophage chemotactic protein (MCP)1 were analyzed by Luminex beads platform. Plasma 5-hydroxyindole-3-acetic acid (5HIAA), a by-product of platelet activation and putative biomarker for ASA404's vascular disruption activity, was analyzed by tandem mass spectrometry. Results: Four-hours after ASA404 infusion at Cycle 1 Day 1, plasma 5HIAA levels increased in a dose-dependent manner by 15%, 111%, or 137% compared with pre-ASA404 treatment level in the 600 (n = 3), 1,200 (n = 6) or 1,800 (n = 6) mg/m2 groups, respectively. Plasma VEGF levels decreased by 5 to 50% after 4 h and 24 h of ASA404 infusion. Plasma bFGF levels decreased by 55 to 88% after 24 h ASA404 infusion in the three ASA404 dose groups. Furthermore, over 50% induction of plasma IL-8 and MCP-1 were observed after 24 h infusion of ASA404. Conclusions: ASA404 caused dose-dependent induction of plasma 5HIAA levels. Unlike anti-angiogenic compounds such as sunitinib, sorafenib or bevacizumab which upregulate systemic VEGF, ASA404 did not appear to cause a systemic VEGF elevation. Induction of plasma inflammatory cytokines (IL-8, MCP-1) after ASA404 treatment may represent ASA404 MOA and amplify the direct antivascular effect of ASA404. Author Disclosure Employment or Leadership Position Consultant or Advisory Role Stock Ownership Honoraria Research Funding Expert Testimony Other Remuneration Novartis Novartis

Acute Lung Injury in Patients With Traumatic Injuries: Utility of a Panel of Biomarkers for Diagnosis and Pathogenesis

The diagnosis of acute lung injury (ALI) is based on a consensus clinical definition. Despite the simplicity of this definition, ALI remains underdiagnosed and undertreated. Severe trauma is a well-described cause of ALI that represents a relatively homogeneous subset of patients with ALI. The aims of this study were to develop a panel of plasma biomarkers to facilitate diagnosis of trauma-induced ALI and to enhance our understanding of the pathogenesis of human ALI. A retrospective nested case control of 192 patients admitted to the trauma intensive care unit at a university hospital between 2002 and 2006. We compared 107 patients with ALI to 85 patients without ALI. Plasma was collected within 72 hours of intensive care unit admission. Twenty-one plasma biomarkers were measured in duplicate in each plasma sample. Patients with ALI had higher severity of illness scores, more days of mechanical ventilation, longer hospital stays, and higher mortality versus controls. Seven biomarkers (receptor for advanced glycation end products, procollagen peptide III, brain natriuretic peptide, angiopoietin-2, interleukin-10, tumor necrosis factor alpha, and interleukin-8) had a high diagnostic accuracy as reflected by the area under the receiver operating characteristic curve of 0.86 (95% confidence interval, 0.82-0.92) in differentiating ALI from controls. A model using seven plasma biomarkers had a high diagnostic accuracy in differentiating patients with trauma-induced ALI from trauma patients without ALI. In addition, use of a panel of biomarkers provides insight into the likely importance of alveolar epithelial injury in the pathogenesis of early ALI.

Phase II biomarker trial of a multimarker diagnostic for ovarian cancer

PurposeThe primary hypothesis to be tested in this study was that the diagnostic performance (as assessed by the area under the receiver operator characteristic curve, AUC) of a multianalyte panel to correctly identify women with ovarian cancer was significantly greater than that for CA-125 alone.MethodsA retrospective, case–control study (phase II biomarker trial) was conducted that involved 362 plasma samples obtained from women with ovarian cancer (n = 150) and healthy controls (n = 212). A multivariate classification model was developed that incorporated five biomarkers of ovarian cancer, CA-125; C-reactive protein (CRP); serum amyloid A (SAA); interleukin 6 (IL-6); and interleukin 8 (IL-8) from a modelling cohort (n = 179). The performance of the model was evaluated using an independent validation cohort (n = 183) and compared with of CA-125 alone.ResultsThe AUC for the biomarker panel was significantly greater than the AUC for CA-125 alone for a validation cohort (p < 0.01) and an early stage disease cohort (i.e. Stages I and II; p < 0.01). At a threshold of 0.3, the sensitivity and specificity of the multianalyte panel were 94.1 and 91.3%, respectively, for the validation cohort and 92.3 and 91.3%, respectively for an early stage disease cohort.ConclusionsThe use of a panel of plasma biomarkers for the identification of women with ovarian cancer delivers a significant increase in diagnostic performance when compared to the performance of CA-125 alone.

Optical tomographic imaging discriminates between disease-modifying anti-rheumatic drug (DMARD) and non-DMARD efficacy in collagen antibody-induced arthritis

IntroductionStandard measurements used to assess murine models of rheumatoid arthritis, notably paw thickness and clinical score, do not align well with certain aspects of disease severity as assessed by histopathology. We tested the hypothesis that non-invasive optical tomographic imaging of molecular biomarkers of inflammation and bone turnover would provide a superior quantitative readout and would discriminate between a disease-modifying anti-rheumatic drug (DMARD) and a non-DMARD treatment.MethodsUsing two protease-activated near-infrared fluorescence imaging agents to detect inflammation-associated cathepsin and matrix metalloprotease activity, and a third agent to detect bone turnover, we quantified fluorescence in paws of mice with collagen antibody-induced arthritis. Fluorescence molecular tomographic (FMT) imaging results, which provided deep tissue detection and quantitative readouts in absolute picomoles of agent fluorescence per paw, were compared with paw swelling, clinical scores, a panel of plasma biomarkers, and histopathology to discriminate between steroid (prednisolone), DMARD (p38 mitogen-activated protein kinase (MAPK) inhibitor) and non-DMARD (celecoxib, cyclooxygenase-2 (COX-2) inhibitor) treatments.ResultsPaw thickness, clinical score, and plasma biomarkers failed to discriminate well between a p38 MAPK inhibitor and a COX-2 inhibitor. In contrast, FMT quantification using near-infrared agents to detect protease activity or bone resorption yielded a clear discrimination between the different classes of therapeutics. FMT results agreed well with inflammation scores, and both imaging and histopathology provided clearer discrimination between treatments as compared with paw swelling, clinical score, and serum biomarker readouts.ConclusionsNon-invasive optical tomographic imaging offers a unique approach to monitoring disease pathogenesis and correlates with histopathology assessment of joint inflammation and bone resorption. The specific use of optical tomography allowed accurate three-dimensional imaging, quantitation in picomoles rather than intensity or relative fluorescence, and, for the first time, showed that non-invasive imaging assessment can predict the pathologist's histology inflammation scoring and discriminate DMARD from non-DMARD activity.

Effect of TKI258 on plasma biomarkers and pharmcokinetics in patients with advanced melanoma

9020 Background: TKI258 (dovitinib lactate), is a multi-tyrosine kinase inhibitor of VEGF receptors-1,2,3, FGF receptors-1, 2, 3, PDGFR-β, and c-KIT. A phase I study was conducted to determine the maximum tolerated dose (MTD), the biological activity and the preliminary efficacy of TKI258 in patients with advanced melanoma. A panel of plasma biomarkers of angiogenesis and soluble receptors were evaluated to determine the pharmacodynamic effect of TKI258. Methods: Patients were treated orally with 200, 300, 400 or 500 mg/day on a once daily continuous dose schedule. The MTD was defined at 400 mg/day. Plasma samples from 43 patients were collected. Plasma concentration of TKI258 was measured by LC/MS/MS. Plasma VEGF, placental growth factor (PLGF), basic FGF (bFGF), and soluble VEGFR1 and VEGFR2 (sVEGFR1 and 2), and c-Kit were measured by multiplex assays using the Meso-Scale Discovery platform. Plasma FGF23 was evaluated by ELISA as a pharmcodynamic marker of FGFR1 inhibition. Results: Following 400 mg or 500 mg continuous daily dosing, the mean plasma exposure (AUC24hr) was approximately 3000 ng/mL*h and 4100 ng/mL*h, respectively. No accumulation in TKI258 plasma exposure was observed at doses of 400mg or below, while accumulation up to 2.5-fold was observed on day 15 following the 500 mg daily dose. At the end of the first treatment cycle, mean plasma VEGF, PLGF and FGF23 levels increased over baseline by 100%, 198% and 68%, respectively, while mean plasma sVEGFR2 levels decreased by 15% in patients treated with 400 and 500 mg/day TKI258. Further analysis of correlations with pharmacokinetic and clinical parameters is ongoing. Conclusions: TKI258 therapy is associated with increases of plasma VEGF and PLGF as well as decreases of sVEGFR2 suggesting VEGFR inhibition. Induction of plasma FGF23 suggest that FGFR may be inhibited at doses of 400 mg/day and above. This panel of circulating proteins may have utility as pharmacodynamic biomarkers of TKI258 activity in patients with advanced melanoma. [Table: see text]