Evaluation of a 5-Marker Blood Test for Colorectal Cancer Early Detection in a Colorectal Cancer Screening Setting.

PURPOSE: In initial studies that included colorectal cancer patients undergoing diagnostic colonoscopy, we had identified a serum marker combination able to detect colorectal cancer with similar diagnostic performance as fecal immunochemical test (FIT). In this study, we aimed to validate the results in participants of a large colorectal cancer screening study conducted in the average-risk, asymptomatic screening population. EXPERIMENTAL DESIGN: We tested serum samples from 1,200 controls, 420 advanced adenoma patients, 4 carcinoma in situ patients, and 36 colorectal cancer patients with a 5-marker blood test [carcinoembryonic antigen (CEA)+anti-p53+osteopontin+seprase+ferritin]. The diagnostic performance of individual markers and marker combinations was assessed and compared with stool test results. RESULTS: AUCs for the detection of colorectal cancer and advanced adenomas with the 5-marker blood test were 0.78 [95% confidence interval (CI), 0.68-0.87] and 0.56 (95% CI, 0.53-0.59), respectively, which now is comparable with guaiac-based fecal occult blood test (gFOBT) but inferior to FIT. With cutoffs yielding specificities of 80%, 90%, and 95%, the sensitivities for the detection of colorectal cancer were 64%, 50%, and 42%, and early-stage cancers were detected as well as late-stage cancers. For osteopontin, seprase, and ferritin, the diagnostic performance in the screening setting was reduced compared with previous studies in diagnostic settings while CEA and anti-p53 showed similar diagnostic performance in both settings. CONCLUSIONS: Performance of the 5-marker blood test under screening conditions is inferior to FIT even though it is still comparable with the performance of gFOBT. CEA and anti-p53 could contribute to the development of a multiple marker blood-based test for early detection of colorectal cancer.

Impact of worsening renal function related to medication in heart failure.

AIMS: Renal failure is a major challenge in treating heart failure (HF) patients. HF medication may deteriorate renal function, but the impact thereof on outcome is unknown. We investigated the effects of HF medication on worsening renal function (WRF) and the relationship to outcome. METHODS AND RESULTS: This post-hoc analysis of TIME-CHF (NT-proBNP-guided vs. symptom-guided management in chronic HF) included patients with LVEF ≤45% and ≥1 follow-up visit (n = 462). WRF III was defined as a rise in serum creatinine ≥0.5 mg/dL (i.e. 44.2 µmol/L) at any time during the first 6 months. Four classes of medication were considered: loop diuretics, beta-blockers, renin-angiotensin system (RAS)-blockers, and spironolactone. Functional principal component analysis of daily doses was used to comprehend medication over time. All-cause mortality after 18 months was the primary outcome. Interactions between WRF, medication, and outcome were tested. Patients with WRF III received on average higher loop diuretic doses (P = 0.0002) and more spironolactone (P = 0.02), whereas beta-blockers (P = 0.69) did not differ and lower doses of RAS-blockers were given (P = 0.09). There were significant interactions between WRF III, medicationn and outcome. Thus, WRF III was associated with poor prognosis if high loop diuretic doses were given (P = 0.001), but not with low doses (P = 0.29). The opposite was found for spironolactone (poor prognosis in the case of WRF III with no spironolactone, P <0.0001; but not with spironolactone, P = 0.31). Beta-blockers were protective in all patients (P <0.001), but most in those with WRF III (P <0.05 for interaction). RAS-blockade was associated with improved outcome (P = 0.006), irrespective of WRF III. CONCLUSION: Based on this analysis, it may be hypothesized that high doses of loop diuretics might have detrimental effects, particularly in combination with significant WRF, whereas spironolactone and beta-blockers might be protective in patients with WRF.

Hepatitis B surface antigen serum level is associated with fibrosis severity in treatment-naïve, e antigen-positive patients.

BACKGROUND & AIMS: Little is currently known about the association between serum HBsAg or HBV DNA levels and the severity of liver disease in chronic hepatitis B (CHB) patients. Therefore, we investigated these relationships in a large cohort of unselected, well-characterized, treatment-naïve CHB patients. METHODS: CHB patients were assessed at the Hôpital Beaujon in Paris, France, between 2000 and 2008. Serum samples and liver biopsies were obtained on the same day. HBsAg, HBV DNA, and HBV genotype were investigated using commercial diagnostic assays and liver histology was scored using the METAVIR system. RESULTS: 406 patients were included in this cross-sectional study. Serum HBsAg and HBV DNA levels in hepatitis B e antigen-positive (HBeAg[+]) patients showed strong correlation (r=0.44, p<0.0001), as did serum HBsAg levels and fibrosis severity (r=0.43, p<0.0001). HBeAg(+) patients with moderate to severe fibrosis exhibited significantly lower serum HBsAg and HBV DNA levels compared with patients with no or mild fibrosis. Modeling analysis suggested a serum HBsAg cut-off of 3.85 logIU/ml would provide a theoretical sensitivity of 100% (95% CI: 0-100), theoretical specificity of 86% (95% CI: 50-100), and a negative predictive value of 100% (95% CI: 67-100) in HBeAg(+) patients infected with HBV genotype B or C. CONCLUSIONS: We found an association between low serum HBsAg levels and moderate to severe fibrosis in HBeAg(+) CHB patients. Furthermore, we described a serum HBsAg cut-off for the prediction of fibrosis severity in CHB patients infected with HBV genotype B or C.

A PAUC-based estimation technique for disease classification and biomarker selection.

The partial area under the receiver operating characteristic curve (PAUC) is a well-established performance measure to evaluate biomarker combinations for disease classification. Because the PAUC is defined as the area under the ROC curve within a restricted interval of false positive rates, it enables practitioners to quantify sensitivity rates within pre-specified specificity ranges. This issue is of considerable importance for the development of medical screening tests. Although many authors have highlighted the importance of PAUC, there exist only few methods that use the PAUC as an objective function for finding optimal combinations of biomarkers. In this paper, we introduce a boosting method for deriving marker combinations that is explicitly based on the PAUC criterion. The proposed method can be applied in high-dimensional settings where the number of biomarkers exceeds the number of observations. Additionally, the proposed method incorporates a recently proposed variable selection technique (stability selection) that results in sparse prediction rules incorporating only those biomarkers that make relevant contributions to predicting the outcome of interest. Using both simulated data and real data, we demonstrate that our method performs well with respect to both variable selection and prediction accuracy. Specifically, if the focus is on a limited range of specificity values, the new method results in better predictions than other established techniques for disease classification.

A combination of serum markers for the early detection of colorectal cancer.

PURPOSE: Fecal occult blood testing is recommended as first-line screening to detect colorectal cancer (CRC). We evaluated markers and marker combinations in serum as an alternative to improve the detection of CRC. EXPERIMENTAL DESIGN: Using penalized logistic regression, 6 markers were selected for evaluation in 1,027 samples (301 CRC patients, 143 patients with adenoma, 266 controls, 141 disease controls, and 176 patients with other cancer). The diagnostic performance of each marker and of marker combinations was assessed. RESULTS: To detect CRC from serum samples, we tested 22 biomarkers. Six markers were selected for a marker combination, including the known tumor markers CEA (carcinoembryonic antigen) and CYFRA 21-1 as well as novel markers or markers that are less routinely used for the detection of CRC: ferritin, osteopontin (OPN), anti-p53, and seprase. CEA showed the best sensitivity at 95% specificity with 43.9%, followed by seprase (42.4%), CYFRA 21-1 (35.5%), OPN (30.2%), ferritin (23.9%), and anti-p53 (20.0%). A combination of these markers gave 69.6% sensitivity at 95% specificity and 58.7% at 98% specificity. Focusing on International Union against Cancer (UICC) stages 0-III reduced the sensitivity slightly to 68.0% and 53.3%, respectively. In a subcollective, with matched stool samples (75 CRC cases and 234 controls), the sensitivity of the marker combination was comparable with fecal immunochemical testing (FIT) with 82.4% and 68.9% versus 81.8% and 72.7% at 95% and 98% specificity, respectively. CONCLUSIONS: The performance of the serum marker combination is comparable with FIT. This provides a novel tool for CRC screening to trigger a follow-up colonoscopy for a final diagnosis.

Diagnosis of rheumatoid arthritis: multivariate analysis of biomarkers.

OBJECTIVE: To test if a combination of biomarkers can increase the classification power of autoantibodies to cyclic citrullinated peptides (anti-CCP) in the diagnosis of rheumatoid arthritis (RA) depending on the diagnostic situation. METHODS: Biomarkers were subject to three inclusion/exclusion criteria (discrimination between RA patients and healthy blood donors, ability to identify anti-CCP-negative RA patients, specificity in a panel with major non-rheumatological diseases) before univariate ranking and multivariate analysis was carried out using a modelling panel (n = 906). To enable the evaluation of the classification power in different diagnostic settings the disease controls (n = 542) were weighted according to the admission rates in rheumatology clinics modelling a clinic panel or according to the relative prevalences of musculoskeletal disorders in the general population seen by general practitioners modelling a GP panel. RESULT: Out of 131 biomarkers considered originally, we evaluated 32 biomarkers in this study, of which only seven passed the three inclusion/exclusion criteria and were combined by multivariate analysis using four different mathematical models. In the modelled clinic panel, anti-CCP was the lead marker with a sensitivity of 75.8% and a specificity of 94.0%. Due to the lack in specificity of the markers other than anti-CCP in this diagnostic setting, any gain in sensitivity by any marker combination is off-set by a corresponding loss in specificity. In the modelled GP panel, the best marker combination of anti-CCP and interleukin (IL)-6 resulted in a sensitivity gain of 7.6% (85.9% vs. 78.3%) at a minor loss in specificity of 1.6% (90.3% vs. 91.9%) compared with anti-CCP as the best single marker. CONCLUSION: Depending on the composition of the sample panel, anti-CCP alone or anti-CCP in combination with IL-6 has the highest classification power for the diagnosis of established RA.

Thymidine phosphorylase, dihydropyrimidine dehydrogenase and thymidylate synthase mRNA expression in primary colorectal tumors-correlation to tumor histopathology and clinical follow-up.

AIM: Evaluation of thymidine phosphorylase (TP), dihydropyrimidine dehydrogenase (DPD), and thymidylate synthase (TS) mRNA levels in formalin-fixed, and paraffin-embedded tissues of patients with colorectal cancer and their prognostic and/or predictive value. MATERIALS AND METHODS: Total RNA was isolated from microdissected, formalin-fixed, and paraffin-embedded tissues (controls and tumor) and subjected to quantitative RT-PCR (QRT-PCR) in the LightCycler system. Resulting mRNA levels correlated to tumor histology (n=102) and the clinical follow-up in patients treated by resection alone (n=40) and by resection plus adjuvant 5-FU-based chemotherapy (n=52). RESULTS: Correlation to histopathological parameters revealed a significant association between tumor stage and the TP mRNA level (T and N category and UICC) as well as the TP:DPD (T and N category and UICC) and TS:DPD (T category) ratio. In addition, tumor differentiation was correlated to the TS mRNA level and the TS:DPD ratio. Finally, the TS:DPD ratio was a prognostic marker for overall survival in patients receiving resection alone (p=0.032). Moreover, a high TP:DPD ratio (>8.1; p=0.002) and, marginally, low DPD (<8.2; p=0.05) mRNA levels significantly correlated to disease-free survival. CONCLUSION: We present a novel, standardized approach for TP, DPD, and TS mRNA quantification in archival tissue specimens and applied this to a large series of primary colorectal tumors. Correlations to histopathological parameters and clinical follow-up revealed an association of TP, DPD and TS mRNA expression patterns with tumor stage and suggested new prognostic and predictive markers for patients with colorectal cancer.