Aims Plasma volume (PV) expansion hallmarks worsening chronic heart failure (CHF) but no non‐invasive means of quantifying volume status exists. Because weight and haematocrit are related to PV, they can be used to calculate relative PV status (PVS). We tested the validity and prognostic utility of calculated PVS in CHF patients. Methods and results First, we evaluated the agreement between calculated actual PV (aPV) and aPV levels measured using 125Iodine‐human serum albumin. Second, we derived PVS as: [(calculated aPV – ideal PV)/ideal PV] × 100%. Third, we assessed the prognostic implications of PVS in 5002 patients from the Valsartan in Heart Failure Trial (Val‐HeFT), and validated this in another 246 routine CHF outpatients. On analysis, calculated and measured aPV values correlated significantly in 119 normal subjects and 30 CHF patients. In the Val‐HeFT cohort, mean (+SD) PVS was –9 ± 8% and related to volume biomarkers such as brain natriuretic peptide (BNP). Over 2 years, 977 (20%) patients died. Plasma volume status was associated with death and first morbid events in a ‘J‐shaped’ fashion with the highest risk seen with a PVS > –4%. Stratification into PVS quartiles confirmed that a PVS > –4% was associated with increased mortality (unadjusted hazard ratio 1.65, 95% confidence interval 1.44–1.88, χ2 = 54, P < 0.001) even after adjusting for 22 variables, including brain natriuretic peptide. These results were mirrored in the validation cohort. Conclusions Relative PVS calculated from simple clinical indices reflects the degree to which patients have deviated from their ideal PV and independently relates to outcomes. The utility of PVS‐driven CHF management needs further evaluation.

PurposeHuman epidermal growth factor receptor-2 (HER2) overexpression is a predictor of response to anti-HER2 therapy in breast and gastric cancer. Currently, HER2 status is assessed by tumour biopsy, but this may not be representative of the larger tumour mass or other metastatic sites, risking misclassification and selection of suboptimal therapy. The designed ankyrin repeat protein (DARPin) G3 binds HER2 with high affinity at an epitope that does not overlap with trastuzumab and is biologically inert. We hypothesized that radiolabelled DARPin G3 would be capable of selectively imaging HER2-positive tumours, and aimed to identify a suitable format for clinical application.MethodsG3 DARPins tagged with hexahistidine (His6) or with histidine glutamate (HE)3 and untagged G3 DARPins were manufactured using a GMP-compatible Pichia pastoris protocol and radiolabelled with 125I, or with 111In via DOTA linked to a C-terminal cysteine. BALB/c mice were injected with radiolabelled G3 and tissue biodistribution was evaluated by gamma counting. The lead construct ((HE)3-G3) was assessed in mice bearing HER2-positive human breast tumour (BT474) xenografts.ResultsFor both isotopes, (HE)3-G3 had significantly lower liver uptake than His6-G3 and untagged G3 counterparts in non-tumour-bearing mice, and there was no significantly different liver uptake between His6-G3 and untagged G3. (HE)3-G3 was taken forward for evaluation in mice bearing HER2-positive tumour xenografts. The results demonstrated that radioactivity from 111In-(HE)3-G3 was better maintained in tumours and cleared faster from serum than radioactivity from 125I-(HE)3-G3, achieving superior tumour-to-blood ratios (343.7 ± 161.3 vs. 22.0 ± 11.3 at 24 h, respectively). On microSPECT/CT, 111In-labelled and 125I-labelled (HE)3-G3 could image HER2-positive tumours at 4 h after administration, but there was less normal tissue uptake of radioactivity with 111In-(HE)3-G3. Preadministration of trastuzumab did not affect the uptake of (HE)3-G3 by HER2-positive tumours.ConclusionRadiolabelled DARPin (HE)3-G3 is a versatile radioligand with potential to allow the acquisition of whole-body HER2 scans on the day of administration.Electronic supplementary materialThe online version of this article (doi:10.1007/s00259-014-2940-2) contains supplementary material, which is available to authorized users.

Multiparameter analysis of core regulatory proteins involved in G1 -S and G2 -M cell-cycle transitions provides a powerful biomarker readout for assessment of the cell-cycle state. We have applied this algorithm to breast cancer to investigate how the cell cycle impacts on disease progression. Protein expression profiles of key constituents of the DNA replication licensing pathway (Mcm2, geminin) and mitotic machinery (Plk1, Aurora A and the Aurora substrate histone H3S10ph) were generated for a cohort of 182 patients and linked to clinicopathological parameters. Arrested differentiation and genomic instability were associated with an increased engagement of cells into the cell division cycle (Po0.0001). Three unique cell-cycle phenotypes were identified: (1) welldifferentiated tumours composed predominantly of Mcm2-negative cells, indicative of an out-of-cycle state (18% of cases); (2) high Mcm2-expressing tumours but with low geminin, Aurora A, Plk1 and H3S10ph levels (S -G2 -M progression markers), indicative of a G1-delayed/arrested state (24% cases); and (3) high Mcm2-expressing tumours and also expressing high levels of the S -G2 -M progression markers, indicative of accelerated cell-cycle progression (58% of cases). The active cell-cycle progression phenotype had a higher risk of relapse when compared with out-of-cycle and G1-delayed/arrested phenotypes (HR ¼ 3.90 (1.81 -8.40, Po0.001)), and was associated with Her-2 and triple negative subtypes (Po0.001). It is of note that high-grade tumours with the G1-delayed/ arrested phenotype showed an identical low risk of relapse compared with well-differentiated out-of-cycle tumours (HR ¼ 1.00 (0.22 -4.46), P ¼ 0.99). Our biomarker algorithm provides novel insights into the cell-cycle state of dynamic tumour cell populations in vivo. This information is of major prognostic significance and may impact on individualised therapeutic decisions. Patients with an accelerated phenotype are more likely to derive benefit from S-and M-phase-directed chemotherapeutic agents.

Purpose: Neuroendocrine tumors (NET) are heterogeneous tumors with widely variable survival. It is unknown whether they express EpCAM (epithelial cell adhesion molecule) and thus whether NET circulating tumor cells (CTC) are detectable. We systematically investigated EpCAM expression and CTC detection in patients with metastatic NETs and evaluated the potential of CTCs to predict radiological progression.Experimental Design: EpCAM protein expression was evaluated in 74 samples of formalin-fixed, paraffin-embedded NET tissue by immunohistochemistry. Seventy-nine patients with metastatic NETs (42 midgut, 5 unknown primary, 19 pancreatic, 13 bronchopulmonary) had blood samples drawn for CTC isolation and enumeration utilizing the CellSearch platform. Patients were classified as having progressive or nonprogressive disease on the basis of serial imaging.Results: Strong homogeneous, membranous EpCAM expression was observed in all ileal (n ¼ 26) and pancreatic NETs (n ¼ 16), whereas variable EpCAM expression was observed in bronchopulmonary NETs (n ¼ 13). Forty-three percent of midgut and 21% of pancreatic NETs had CTCs detected with a range of 0-62 and 0-11, respectively. The absence of CTCs was strongly associated with stable disease (P < 0.001). There was a moderate correlation between CTC levels and urinary 5-hydroxyindole acetic acid (r ¼ 0.5, P ¼ 0.007) and between CTC levels and burden of liver metastases (B ¼ 8.91, P < 0.001). There was no or low correlation between CTC levels and Ki-67 (r ¼ 0.08, P ¼ 0.59) and serum chromogranin A (r ¼ 0.246, P ¼ 0.03).Conclusions: This is the first systematic analysis showing EpCAM expression and CTC detection in NETs. CTCs seem to be associated with progressive disease and may provide useful prognostic information given the variable survival rates in these tumors.

Purpose: DNA replication licensing factors and Aurora kinases play critical roles in maintaining genomic integrity. We used multiparameter analyses of these cell cycle regulatory proteins to investigate their role in the progression of epithelial ovarian carcinoma (EOC). Experimental Design: In a cohort of 143 patients, we linked the protein expression profiles of the proliferation marker Ki67, the replication licensing factors Mcm2 and geminin, and the Aurora A and B kinases to tumor DNA ploidy status and clinical outcome. Results: Ki67, Mcm2, geminin, and Aurora A and B are significantly associated with tumor grade and ploidy status (P < 0.0001). Aurora A and its substrate H3S10ph are also significantly associated with Federation of International Obstetricians and Gynecologists tumor stage (P = 0.006 and P = 0.002, respectively). Aurora A and tumor ploidy status are predictive of disease-free survival in this cohort [hazard ratio (HR), 1.29; 95% confidence intervals (95% CI), 1.06-1.58, P = 0.01and HR, 1.80 (1.05-3.08), P = 0.03, respectively], with Aurora A of particular prognostic importance in early stage disease [HR, 1.72 (1.19-2.48), P = 0.004 for disease-free survival and HR, 1.81 (1.14-2.87), P = 0.01for overall survival]. Conclusions: Our data show that Ki67, Mcm2, geminin and Aurora A and B can be used as an adjunct to conventional prognostic indicators and as an aid to develop a tumor progression model for EOC. Dysregulation of Aurora A seems to be an early event in EOC with a key role in tumor progression. In view of present drug development programs for specific Aurora kinase inhibitors, our findings have important implications for the use of Aurora A as a biomarker and as a potential therapeutic target.

This is amongst the premier report describing the simultaneous occurrence of bla(TEM), bla(SHV), and bla(ampC) in Indian Enterobacteriaceae and that wider dissemination of these genes, as demonstrated by diversity of isolates, raises concern and emphasizes a need for extensive search for the presence of these gene pools in Indian subcontinent.

Purpose: There is a lack of prognostic and predictive biomarkers in epithelial ovarian carcinoma, and the targeting of oncogenic signaling pathways has had limited impact on patient survival in this highly heterogeneous disease. The origin licensing machinery, which renders chromosomes competent for DNA replication, acts as a convergence point for upstream signaling pathways. We tested the hypothesis that Cdc7 kinase, a core component of the licensing machinery, is predictive of clinical outcome and may constitute a novel therapeutic target in epithelial ovarian carcinoma. Experimental Design: A total of 143 cases of ovarian cancer and 5 cases of normal ovary were analyzed for Cdc7 protein expression dynamics and clinicopathologic features. To assess the therapeutic potential of Cdc7, expression was down-regulated by RNA interference in SKOV-3 and Caov-3 ovarian cancer cells. Results: Increased Cdc7 protein levels were significantly associated with arrested tumor differentiation (P = 0.004), advanced clinical stage (P = 0.01), genomic instability (P < 0.001), and accelerated cell cycle progression. Multivariate analysis shows that Cdc7 predicts diseasefree survival independent of patient age, tumor grade and stage (hazard ratio, 2.03; confidence interval, 1.53-2.68; P < 0.001), with the hazard ratio for relapse increasing to 10.90 (confidence interval, 4.07-29.17) for the stages 3 to 4/upper Cdc7 tertile group relative to stages 1to 2/lower Cdc7 tertile tumors. In SKOV-3 and Caov-3 cells, Cdc7 siRNA knockdown triggered high levels of apoptosis, whereas untransformed cells arrest in G 1 phase and remain viable. Conclusions: Our findings show that Cdc7 kinase predicts survival and is a potent anticancer target in epithelial ovarian carcinoma, highlighting its potential as a predictor of susceptibility to small molecule kinase inhibitors currently in development.

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