Advances in Mass Spectrometry for the Screening and Validation of Colorectal Cancer Biomarkers: A Review

Main Article Content

Ruiyang Shi

Keywords

colorectal cancer, data-independent acquisition (DIA), two-dimensional liquid chromatography-tandem mass, spectrometry (2D LC-MS/MS), marker screening

Abstract

Colorectal cancer is a malignant tumor with persistently high incidence and mortality rates around the world. Early detection of colorectal cancer is essential to improving survival, yet current diagnostic tools show limited performance. Traditional screen ing methods, such as fecal occult blood testing, serum biomarker detection, and colonoscopy, have limitations in sensitivity, specificity, or patient compliance, making it difficult to meet the demands of large-scale early screening. Colorectal cancer, due to its high throughput and high sensitivity, enables the acquisition of much information in a single analysis, offering a new technological approach for the screening and validation of colorectal cancer biomarkers. The text systematically reviews the research progress on colorectal cancer markers based on mass spectrometric techniques. It concludes that the markers with potential research value in current studies include ROBO4, VCAM -1, phenylalanine, indoline, L -carnitine, and PSMD7. Although existing studies have demonstrated the great potential of mass spectrometry for marker discovery, most candidate markers remain in the exploratory stage, facing challenges such as small sample sizes, limited multicenter validation, and non -standardized detection workflows. In the future, the integration of mass spectrometry with multi -omics analysis is expected to advance colorectal cancer markers from research to clinical translation, enabling truly noninvasive early screening.

Abstract 34 | PDF Downloads 18

References

  • [1] Hermoso-Durá n S, Ortega-Alarcon D, Johansen A Z, et al. Integrating thermal liquid biopsy, clinical data, and mass spectrometry for early diagnosis and biomarker discovery in colorectal cancer[J]. iScience, 2026, 29(2): 114751.
  • [2] Yang H L, Xu W C, Luo W S, Zhou M M, Hu F F, Bian C. Trend analysis and prediction of colorectal cancer mortality and disease burden in Changzhou City from 2011 to 2021[J].2026.
  • [3] Xing F. Study on early diagnostic markers for colorectal cancer[D]. (Thesis, 2023).
  • [4] Zhang Y Y, Shu K X, Chang C. Research progress of peptide -centric analysis algorithms and software based on data-independent acquisition[J]. Chinese Journal of Biotechnology, 2023, 39(9): 3579-3593.
  • [5] Che Y X, Zhao Y L, Wang D K. Two -dimensional liquid chromatography coupled with mass spectrometry and its application in pharmaceutical quality research[J]. 2024.
  • [6] Tang L. Research on intelligent cancer detection technology based on proteomics mass spectrometry data[D]. (Thesis, 2024).
  • [7] Zhang B Z. Application of ROBO4 and VCAM -1 screened by mass spectrometry -based proteomics in diagnosis and treatment of colorectal cancer[D]. (Thesis, 2025).
  • [8] Liu K J. Exploration of potential biomarkers for colorectal cancer diagnosis and their metabolic mechanism based on serum metabolomics[D]. (Thesis, 2025).
  • [9] Ni J, Chen Y, Li N, et al. Combination of GC -MS based metabolomics analysis with mouse xenograft models reveals a panel of dysregulated circulating metabolites and potential therapeutic targets for colorectal cancer[J]. Translational Cancer Research, 2021, 10(4): 1813-1825.
  • [10] Kang Y X, He C Y, Alimu L H M, He P, Sun J C. Expression and significance of PSMD7 in colorectal cancer tissues[J]. 2022.
  • [11] Fang M D. Discovery and validation of colorectal cancer tumor markers ANXA4, PLOD3, and SERPINH1 based on proteomics[D]. (Thesis, 2022).