2019
DOI: 10.3390/cancers11101426
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Evaluation and Validation of Plasma Proteins Using Two Different Protein Detection Methods for Early Detection of Colorectal Cancer

Abstract: Objective: Plasma protein biomarkers could be an efficient alternative for population-based screening for early detection of colorectal cancer (CRC). The objective of this study was to evaluate and validate plasma proteins individually and as a signature for early detection of CRC. Methods: In a three-stage design, proteins were measured firstly by liquid chromatography/multiple reaction monitoring-mass spectrometry (LC/MRM-MS) and later by proximity extension assay (PEA) in a discovery set consisting of 96 ne… Show more

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Cited by 27 publications
(23 citation statements)
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“…Another study carried out by Xie et al used CELA1, CEL2A, CTRL, and TRY2 with a logistic regression and achieved an AUC of 0.90 (with a sensitivity of 86.7% and a specificity of 83.3%) in CRC diagnoses [ 52 ]. Bhardwaj et al utilized AREG, MASP1, OPN, PON3, and TR with the least absolute shrinkage and selection operator (LASSO) and achieved an AUC of 0.86 (with a sensitivity of 83% and a specificity of 80%) in diagnosing early-stage CRC [ 53 ]. In another study from Bhardwaj et al, they combined HP, LRG1, and PON3 with LASSO and achieved an AUC of 0.83 (with a sensitivity of 67% and a specificity of 80%) in diagnosing early-stage CRC; they also utilized eight biomarkers with LASSO and achieved an AUC of 0.96 (with a sensitivity of 93% and a specificity of 80%) in diagnosing late-stage CRC [ 54 ].…”
Section: Discussionmentioning
confidence: 99%
“…Another study carried out by Xie et al used CELA1, CEL2A, CTRL, and TRY2 with a logistic regression and achieved an AUC of 0.90 (with a sensitivity of 86.7% and a specificity of 83.3%) in CRC diagnoses [ 52 ]. Bhardwaj et al utilized AREG, MASP1, OPN, PON3, and TR with the least absolute shrinkage and selection operator (LASSO) and achieved an AUC of 0.86 (with a sensitivity of 83% and a specificity of 80%) in diagnosing early-stage CRC [ 53 ]. In another study from Bhardwaj et al, they combined HP, LRG1, and PON3 with LASSO and achieved an AUC of 0.83 (with a sensitivity of 67% and a specificity of 80%) in diagnosing early-stage CRC; they also utilized eight biomarkers with LASSO and achieved an AUC of 0.96 (with a sensitivity of 93% and a specificity of 80%) in diagnosing late-stage CRC [ 54 ].…”
Section: Discussionmentioning
confidence: 99%
“…In a previous study from our group, 11 protein biomarkers assayed using PEA and LC/MRM-MS were compared in plasma samples from clinically recruited CRC cases [ 16 ]; in that study, a good correlation was found for 8 out of 11 biomarkers. In the current study, good correlations could be observed for four of the nine biomarkers measured using PEA and LC/MRM-MS in samples from participants of screening colonoscopy.…”
Section: Discussionmentioning
confidence: 99%
“…Even though many blood-based protein signatures have been identified and numerous proteomic technologies are available, direct comparisons of the diagnostic performance of the technologies for detection of cancer in screening settings are scarce. Previous studies from our group utilizing proximity extension assays (PEA) and liquid chromatography/multiple reaction monitoring–mass spectrometry (LC/MRM-MS) have identified several individual markers and multimarker protein signatures for the detection of CRC [ 13 , 14 , 15 , 16 , 17 , 18 ]. The objective of the current study was to evaluate and compare the diagnostic potential of overlapping protein biomarkers measured with PEA, LC/MRM-MS, quantibody microarrays (QMAs) and immunome full-length functional protein arrays (IpAs).…”
Section: Introductionmentioning
confidence: 99%
“…Compared to molecular markers such as methylation of SEPT9 [19,65,66] in tumor-derived cell-free DNA, microRNA signatures in various biofluids (plasma, serum, or stool) [67][68][69], genetic [70,71], or proteomic markers [72][73][74] performance of methylation markers in stool DNA for detecting various stages of CRC seems poorer. In the reviewed studies, methylation of several genes was associated with increased risk of NAA/AA/Ad, early and late stages of CRC, supporting a role of DNA methylation at all stages of CRC, and suggesting potential use of these biomarkers for risk stratification in CRC screening.…”
Section: Discussionmentioning
confidence: 99%