Skip to main content

Advertisement

Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Figure 1 | Journal of Translational Medicine

Figure 1

From: Detection of serological biomarkers by proximity extension assay for detection of colorectal neoplasias in symptomatic individuals

Figure 1

Receiver operating characteristic (ROC) curve modeling the candidate CRC biomarkers’ (CEA, TFRC, MIF, OPN/SPP1 and CA242) probability of colorectal cancer detection. Data included are from colorectal cancers versus controls for individual biomarkers (n = 140). The x axis is 1-specificity and the y axis is sensitivity. The purple line represents the combination of all five markers with maximum sensitivity and specificity of 56% and 90%, respectively. The area under the ROC curve (AUC) signifies the accuracy of each of the individual as well as the combined biomarkers for distinguishing colorectal cancers. The AUCs ranged from 0.658-0.731. The dotted black line represents the point of 90% specificity and relationship is indicated by color.

Back to article page