Abstract C011: Distinct peripheral immune signatures in early-onset colorectal cancer reveal candidate biomarkers for risk stratification
Bibliographic record
Abstract
Abstract Colorectal cancer (CRC) is the second leading cause of cancer-related mortality worldwide. While screening strategies have reduced incidence in older adults, early-onset CRC (EOCRC; <50 years) continues to rise. The Immunoscore, based on intratumoral T cell density, is a validated biomarker of recurrence and survival. However, little is known about peripheral immune alterations in EOCRC, which may provide complementary information for early detection and prognostication. We conducted an immune profiling study in age-defined cohorts of EOCRC and late-onset CRC (LOCRC) patients, matched by sex and tumor location. Peripheral blood mononuclear cells (PBMCs) and plasma were analyzed by multiparametric flow cytometry and Luminex to assess T cell polarization, innate-like lymphocytes, cytokine secretion, and metabolic activity. HLA typing was performed with HLA-ABCDRB1DQ RealAmp kit. Our analyses revealed striking differences in systemic immunity between EOCRC and LOCRC. EOCRC patients displayed a skewing toward proinflammatory Th9/Th17 and Th22 responses, accompanied by enhanced IL-13 secretion and increased NKT-like cells, whereas LOCRC was characterized by reduced effector activity and hallmarks of immune aging. In addition, metabolic profiling of PBMCs identified increased glucose uptake in EOCRC, supporting a heightened but potentially inefficient immune activation state. Plasma chemokine analyses further pointed to distinct cytokine milieus discriminating the two age groups. Notably, alleles within the B15/B17/B5 group were overrepresented in EOCRC compared to LOCRC and controls, suggesting a genetic contribution to early-onset disease. This enrichment may reflect distinct HLA-driven antigen presentation patterns that favor chronic immune activation or inefficient tumor surveillance in younger patients, thereby contributing to EOCRC pathogenesis. In conclusion, EOCRC is associated with a unique systemic immune profile that contrasts with the immunosenescence observed in LOCRC. Key alterations in Th22, CD8+ Tγδ cells, and NKT-like cells, together with enrichment of specific HLA-B allele groups that may modulate antigen presentation and anti-tumor immunity, emerge as candidate biomarkers to refine Immunoscore-based stratification. These candidates could help guide the development of more specific immunotherapeutic approaches for younger CRC patients. Overall, our results support a model in which both immune dysregulation and inherited genetic predisposition cooperate to shape EOCRC, supporting the development of risk stratification and preventive strategies based on HLA typing. Citation Format: Maria Gonzalez-Sanmartin, Clara Sanchez-Menendez, Valentina Leguizamon, Elena Mateos, Edurne Alvaro, Gonzalo Sanz, Jorge Martinez Laso, Montserrat Torres, Mayte Coiras, Jose Perea. Distinct peripheral immune signatures in early-onset colorectal cancer reveal candidate biomarkers for risk stratification [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: The Rise in Early-Onset Cancers—Knowledge Gaps and Research Opportunities; 2025 Dec 10-13; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2025;31(23_Suppl):Abstract nr C011.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".