Data-Independent Acquisition Analysis to Identify Serum Biomarkers and Neoantigens for Differentiating Colorectal Cancer from Inflammatory Bowel Diseases

Early colorectal cancer (CRC) detection among inflammatory bowel disease improves treatment outcomes and survival. A sensitive and specific serum-based tool can bridge the gap between patient presentation and invasive colonoscopy, thereby enhancing early diagnosis. We screened serum biomarkers in colonoscopy-positive (CP, cancer) and colonoscopy-negative (CN, other bowel diseases) individuals, as well as in healthy controls (<i>n</i> = 20 each), to identify CRC-specific markers. Using data-independent acquisition-mass spectrometry, three proteins were identified as uniquely altered in the CP group compared with CN. We found that a serum protein called brain-specific angiogenesis inhibitor I-associated protein 3 was significantly overexpressed in CRC patients, which can distinguish CP patients from CN patients. Additionally, 19 neoantigen peptides specific to the CRC serum proteome were identified. Further validation in an independent set of samples (<i>n</i> = 10 per group) using parallel reaction monitoring was performed for the potential biomarker and neoantigen identified. These proteins were combined with carcinoembryonic antigen into a multiprotein panel, which enhanced diagnostic performance (AUC = 0.758), yielding 67% sensitivity, 64% specificity, and 65% accuracy. These findings support the potential of a targeted serum-based panel for preselecting symptomatic individuals for colonoscopic evaluation. However, further studies are needed in a larger cohort to evaluate clinical utility.

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Publication Details

Journal
Journal of Proteome Research
Published
2025-07-13
DOI
https://doi.org/10.1021/acs.jproteome.5c00285
Citations
1
Primary Topic
Glycosylation and Glycoproteins Research
Type
article
Field-Weighted Citation Impact
0.81

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article

Data-Independent Acquisition Analysis to Identify Serum Biomarkers and Neoantigens for Differentiating Colorectal Cancer from Inflammatory Bowel Diseases

Vineetha Shaji, Chinmaya Narayana Kotimoole, Akhila Balakrishna, Poornima Ramesh et al.
1 citations
Journal of Proteome Research
Glycosylation and Glycoproteins Research
0.81
article

Data-Independent Acquisition Analysis to Identify Serum Biomarkers and Neoantigens for Differentiating Colorectal Cancer from Inflammatory Bowel Diseases

Vineetha Shaji, Chinmaya Narayana Kotimoole, Akhila Balakrishna, Poornima Ramesh, Thottethodi Subrahmanya Keshava Prasad, Jalaluddin Akbar Kandel Codi, Vanya Kadla Narayana
article en
1 citations

Abstract

Early colorectal cancer (CRC) detection among inflammatory bowel disease improves treatment outcomes and survival. A sensitive and specific serum-based tool can bridge the gap between patient presentation and invasive colonoscopy, thereby enhancing early diagnosis. We screened serum biomarkers in colonoscopy-positive (CP, cancer) and colonoscopy-negative (CN, other bowel diseases) individuals, as well as in healthy controls (<i>n</i> = 20 each), to identify CRC-specific markers. Using data-independent acquisition-mass spectrometry, three proteins were identified as uniquely altered in the CP group compared with CN. We found that a serum protein called brain-specific angiogenesis inhibitor I-associated protein 3 was significantly overexpressed in CRC patients, which can distinguish CP patients from CN patients. Additionally, 19 neoantigen peptides specific to the CRC serum proteome were identified. Further validation in an independent set of samples (<i>n</i> = 10 per group) using parallel reaction monitoring was performed for the potential biomarker and neoantigen identified. These proteins were combined with carcinoembryonic antigen into a multiprotein panel, which enhanced diagnostic performance (AUC = 0.758), yielding 67% sensitivity, 64% specificity, and 65% accuracy. These findings support the potential of a targeted serum-based panel for preselecting symptomatic individuals for colonoscopic evaluation. However, further studies are needed in a larger cohort to evaluate clinical utility.

Journal of Proteome ResearchVol. 24(8)
Yenepoya University (IN), International Council on Mining and Metals (GB)
Indian Council of Medical Research
Good health and well-being
Openalex Percentile: Top 26%
Glycosylation and Glycoproteins Research
0.81
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