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. 2022 Jun;126(10):1387-1393.
doi: 10.1038/s41416-022-01712-x. Epub 2022 Jan 28.

Early detection of colorectal neoplasia: application of a blood-based serological protein test on subjects undergoing population-based screening

Affiliations

Early detection of colorectal neoplasia: application of a blood-based serological protein test on subjects undergoing population-based screening

Jakob Kleif et al. Br J Cancer. 2022 Jun.

Abstract

Background: Blood-based biomarkers used for colorectal cancer screening need to be developed and validated in appropriate screening populations. We aimed to develop a cancer-associated protein biomarker test for the detection of colorectal cancer in a screening population.

Methods: Participants from the Danish Colorectal Cancer Screening Program were recruited. Blood samples were collected prior to colonoscopy. The cohort was divided into training and validation sets. We present the results of model development using the training set. Age, sex, and the serological proteins CEA, hsCRP, TIMP-1, Pepsinogen-2, HE4, CyFra21-1, Galectin-3, ferritin and B2M were used to develop a signature test to discriminate between participants with colorectal cancer versus all other findings at colonoscopy.

Results: The training set included 4048 FIT-positive participants of whom 242 had a colorectal cancer. The final model for discriminating colorectal cancer versus all other findings at colonoscopy had an AUC of 0.70 (95% CI: 0.66-0.74) and included age, sex, CEA, hsCRP, HE4 and ferritin.

Conclusion: The performance of the biomarker signature in this FIT-positive screening population did not reflect the positive performance of biomarker signatures seen in symptomatic populations. Additional biomarkers are needed if the serological biomarkers are to be used as a frontline screening test.

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Conflict of interest statement

SG and GJD are employees of Abbott Laboratories Inc. The remaining authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Flow of the study.
Fig. 2
Fig. 2. Receiver-operating characteristic curves for multivariable models.
The receiver-operating characteristic curves for the multivariable models discriminating colorectal cancer (CRC) from all other findings at colonoscopy (remaining); colorectal cancer, high-risk adenomas, and medium-risk adenomas (CRC + HRA + MRA) versus all other findings at colonoscopy (remaining); and colorectal cancer (CRC) versus clean colon (clean) at colonoscopy. formula image CRC vs remaining formula image CRC + HRA + MRA vs remaining. formula image CRC vs clean formula image Flip a coin.

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