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April 5, 2026Cancer Research0 citations

Abstract 7699: Quantitative TMT-based proteomic profiling reveals stage-specific protein dysregulation in colorectal cancer

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CMCamille N. Zenón MeléndezGVGabriel Borges VélezJPJosue Pérez-Santiago

Key Points

  • This study aims to identify and characterize the proteomic differences across stages of colorectal cancer in a specific cohort.
  • Collected tissue samples from healthy controls and early- and advanced-stage colorectal cancer
  • Applied TMT-based quantitative proteomics and liquid chromatography-tandem mass spectrometry
  • Analyzed protein abundance using principal component analyses and PERMANOVA for statistical validation
  • Conducted differential abundance analysis with defined thresholds
  • Significant proteomic differentiation was confirmed across all groups with p-values indicating strong differences
  • Early-stage colorectal cancer had 203 differentially abundant proteins unique to that stage
  • Advanced-stage colorectal cancer showed 131 unique proteins
  • Only 28 proteins were differentially abundant between advanced and early stages
  • Pathway analysis identified dysregulated proteins primarily as enzymes or transporters

Abstract

Abstract Background: Colorectal cancer (CRC) is a leading cause of cancer-related deaths in the U.S. and its territories, with incidence increasing particularly early-onset CRC, and is often diagnosed at advanced stages. Quantitative proteomics using Tandem Mass Tag (TMT) provides an opportunity to characterize stage-associated molecular alterations. This study aimed to profile the proteomic landscape of CRC in a cohort of Hispanics living in Puerto Rico (HPR) and identify molecular differences across disease stages. Methods: Tissue samples from healthy controls (n=21), early-stage CRC (n=11), and advanced-stage CRC (n=12) were obtained from the Puerto Rico Familial Colorectal Cancer Registry (PURIFICAR). Samples underwent TMT-based quantitative proteomics followed by liquid chromatography- tandem mass spectrometry (LC-MS/MS). Normalized protein abundance was processed in MetaboAnalyst 5.0. Compositional differences across study groups were evaluated using principal component analyses (PCAs) and PERMANOVA permutation testing for statistical evaluation. Differential protein abundance was assessed using a one-factor analysis with |fold change| ≥1.5 and p≤0.05. Dysregulated proteins were annotated using UniProt and Ingenuity Pathway Analysis (IPA). Results: PCA showed significant proteomic differentiation among all pairwise comparisons, confirmed by PERMANOVA testing: early-stage CRC versus healthy controls (p=0.001), advanced-stage CRC versus healthy controls (p=0.001), and advanced versus early-stage CRC (p=0.021). Early-stage CRC had 203 differentially abundant proteins relative to healthy controls (72 upregulated, 131 downregulated), with 55.2% unique to this stage. Advanced-stage CRC showed 131 (77 upregulated, 54 downregulated), of which 33.6% were unique. Only twenty-eight (28) proteins were differentially abundant between advanced and early-stages. Venn diagram revealed no proteins common to all three contrasts (0 in the three-way intersection). Early-stage CRC showed dysregulation of DEF1, AZU1, and FCGBP, while advanced-stage CRC demonstrated changes in MMP9, ANXA3, and DEF1. Pathway analysis of classified dysregulated proteins predominantly as enzymes, transporters, and membrane-associated proteins. Conclusion: Quantitative proteomic profiling identified distinct proteomic profiles associated with CRC stage within this HPR cohort. Early- and advanced-stage CRC demonstrated different dysregulation patterns, with early-stage disease showing greater overall proteomic remodeling and a unique protein composition compared with advanced-stage disease. These stage-associated differences warrant further validation to determine their relevance for early CRC detection and biological characterization. Citation Format: Camille N. Zenón Meléndez, Gabriel Borges Vélez, Josue Perez-Santiago, Yakshi Ortiz Maldonado, Liliana Castro Jimenez, Hilmaris Centeno Girona, Sheila N. Lopez Acevedo, Elba V. Caraballo. Quantitative TMT-based proteomic profiling reveals stage-specific protein dysregulation in colorectal cancer abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 7699.

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Meléndez et al. (2026) studied this question.

synapsesocial.com/papers/69d1fd29a79560c99a0a2f5chttps://doi.org/10.1158/1538-7445.am2026-7699
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