Search

Death-associated protein kinase (DAPK) and adenomatous polyposis coli gene (APC) have been recently shown to be associated with outcome in patients with esophageal carcinoma, especially adenocarcinoma. We wanted to validate the correlation of these two markers with outcome by detecting methylated DNA sequences in peripheral blood. Circulating cell-free DNA extracted from blood plasma of 59 patients with esophageal cancer was analyzed before and after surgical resection by quantitative real-time methylation-specific RT-PCR (TaqMan™) assays. Thirty-six of 59 patients (61.0%) with esophageal cancer had detectable levels of methylated DAPK or APC promoter DNA and preoperative detection was significantly associated with an unfavorable prognosis as revealed by multivariate Cox proportional hazards regression analysis [Exp(b) = 4.578; P = 0.01]. The combination of both markers significantly increased sensitivity and specificity for discriminating between short (<2.5 years) and long survivors ( P = 0.04, ROC curve analysis). Postoperative APC detection was significantly different if residual tumor was apparent ( P = 0.03). Preoperative measurement of methylated DAPK and APC promoter DNA in peripheral blood may contribute to better estimate postoperative survival chances of patients with esophageal carcinoma, especially adenocarcinoma. The postoperative detection of methylated APC in peripheral blood might provide crucial information on apparent residual tumor and might be used as a “molecular” R0-Marker in addition to the pathologic examination. [ABSTRACT FROM AUTHOR]

Purpose: Standardized computer-aided tumor response assessment is common in clinical trials. In contrast, unstructured free text reporting (UFTR) is common in daily routine. Therefore, this study aimed to discern and quantify differences between UFTR and computer-aided standardized tumor response evaluation based on RECIST 1.1 criteria (RECIST), serving as gold standard, in clinical workflow. Methods: One-hundred consecutive patients with cancer eligible for RECIST 1.1 evaluation, who received five follow-up CTs of the trunk, were retrospectively included. All UFTRs were assigned to RECIST response categories [complete response, partial response (PR), stable disease (SD), progressive disease (PD)]. All CTs were re-evaluated using dedicated software (mint lesion™) applying RECIST 1.1. The accordance in tumor response ratings was analyzed using Cohen's kappa. Results: At the first follow-up, 47 cases were rated differently with an SD underrepresentation and a PR and PD overrepresentation in UFTR. In the subsequent follow-ups, categorical differences were seen in 38, 44, 37, and 44%. Accordance between UFTR and RECIST was fair to moderate (Cohen's kappa: 0.356, 0.477, 0.390, 0.475, 0.376; always p < 0.001). Differences were mainly caused by the rating of even small tumor burden changes as PD or PR in UFTR or by comparison to the most recent prior CT scan in UFTR instead of comparison to nadir or baseline. Conclusions: Significant differences in tumor response ratings were detected comparing UFTR and computer-aided standardized evaluation based on RECIST 1.1. Thus, standardized reporting should be implemented in daily routine workflow. [ABSTRACT FROM AUTHOR]

Purpose: Lung cancer accounts for one in five cancer deaths. Broad screening strategies for high-risk populations are unavailable, and the validation of biomarkers for early cancer detection remains a prime interest. Therefore, we investigated the value of circulating U2 small nuclear RNA fragments (RNU2-1f) as a biomarker for diagnosis, prognosis estimation and treatment monitoring in a large lung cancer cohort. Methods: We determined RNU2-1f abundance in sera of patients with treatment-naive lung cancer ( n = 211, 25.6 % early stage), chronic lung disease ( n = 56) and healthy controls ( n = 58) by reverse transcription quantitative PCR. Initial levels and changes after one chemotherapy cycle were correlated with treatment outcomes in patient subsets. Results: Relative serum RNU2-1f expression levels (REL) were elevated in lung cancer patients compared with patients with chronic lung disease and healthy controls ( p < 0.0001). The area under the receiver operating characteristic curve for the complete data set (lung cancer vs. healthy) was 0.91 (95 % CI 0.87-0.95). By applying a REL of −4.505 as diagnostic cutoff (Youden's criterion), sensitivity and specificity reached 0.86 and 0.81, respectively. To determine the generalization error, in a subsampling study, sensitivity and specificity were estimated as 0.82 and 0.77 for the application to future, independent samples. High initial RNU2-1f REL were associated with shorter median survival in stage IIIB/IV disease (RNU2-1f = 228 days/RNU2-1f = 484 days; p = 0.009, log-rank test, HR1.43 95 % CI 1.23-1.66). Multivariate analysis confirmed RNU2-1f as an independent prognostic factor. Patients with subsequent RNU2-1f reduction had a trend toward better treatment outcome. Conclusions: Serum RNU2-1f may serve as a biomarker for lung cancer detection, prognosis prediction and treatment monitoring. [ABSTRACT FROM AUTHOR]