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April 5, 2026Cancer Research0 citations

Abstract 2867: Interaction between T-cell inflamed gene expression profile score and tumor-associated microbiome on colorectal cancer mortality in a heterogeneous patient population

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CTClaire E. ThomasHYHang YinJHJeroen R. Huyghe

Key Points

  • This research aims to explore the relationship between the tumor-associated microbiome and T-cell inflamed gene expression profile in predicting colorectal cancer mortality.
  • Included 366 colorectal cancer participants from various population groups.
  • Matched participants who died of CRC with those who did not based on age, sex, tumor site, and stage.
  • Sequenced microbial DNA and RNA from tumor tissues to assess bacterial communities and gene expression.
  • Anaerococcus linked to lower odds of high T-cell inflamed GEP score (OR=0.34).
  • Leptotrichia linked to higher odds of high T-cell inflamed GEP score (OR=2.93).
  • Presence of Leptotrichia and low T-cell inflamed GEP score associated with over four times higher odds of CRC mortality (OR=4.41).

Abstract

Abstract Background: The microbiome and tumor immune response are important and inter-related components that are implicated in colorectal cancer (CRC) prognosis. However, associations between these components and potential joint effects on CRC mortality remain unclear. Methods: We included 366 participants with CRC (106 African American, 161 Alaska Native, 91 Hispanic, 8 non-Hispanic White) from the Translational Research Program in Cancer Differences across Populations (TRPCDP). 241 participants who did not die of CRC were matched to 125 participants who died of CRC during follow-up by age, sex, tumor site, tumor stage, year of diagnosis, and population group. We sequenced microbial DNA from the V4 region of the 16S rRNA bacterial gene and sequenced RNA using the Illumina TruSeq RNA Exome kit from formalin-fixed paraffin embedded (FFPE) tumor tissue. We calculated the T-cell inflamed gene expression profile (GEP) score as a weighted sum of log2-transformed transcripts per million of 18 genes: CCL5, CD27, CD274 (PD-L1), CD276 (B7-H3), CD8A, CMKLR1, CXCL9, CXCR6, HLA-DQA1, HLA-DRB1, HLA-E, IDO1, LAG3, NKG7, PDCD1LG2 (PDL2), PSMB10, STAT1, and TIGIT. We dichotomized the T-cell inflamed GEP score into high and low groups using the top tertile as a threshold. Using logistic regression, we estimated odds ratios (OR) and 95% confidence intervals (CI) for associations between bacterial presence and dichotomized T-cell inflamed GEP score, as well as interaction effects of bacteria and dichotomized T-cell inflamed GEP score on CRC-specific mortality, adjusting for matching factors. Results: Among 48 genera tested, Anaerococcus was associated with lower odds of high T-cell inflamed GEP score (OR=0.34, 95% CI 0.20-0.58) and Leptotrichia was associated with higher odds of high T-cell inflamed GEP score (OR=2.93, 95% CI 1.66-5.22). When combined, the joint effect of tumors being Leptotrichia positive and low T-cell inflamed GEP score was associated with over four times the odds of CRC mortality (OR=4.41, 95% CI 1.86-10.83) compared to tumors that were Leptotrichia negative and high T-cell inflamed GEP score. Conclusions: The joint effect of Leptotrichia presence and low T-cell inflamed GEP score resulted in markedly higher odds of CRC death. Understanding the influence of this immune-microbiota interaction may improve CRC prognostic stratification and enable the discovery of new treatment targets to improve CRC prognosis. Citation Format: Claire Elizabeth Thomas, Hang Yin, Jeroen Huyghe, Nicole Catalina Lorona, Scott D. Labrie, Keith R. Curtis, Orsalem Kahsai, Sosun Nayemi, Ningxin Ma, Timothy Randolph, Conghui Qu, Sushma Thomas, Li Hsu, Amanda L. Koehne, Heather Green-Mantrana, Marc Matrana, James J. Tiesinga, William M. Grady, Diana Redwood, Christopher I. Li, Li Li, Riki (Ulrike) Peters, Jane C. Figueiredo, Timothy K. Thomas, Amanda I. Phipps, Meredith A. Hullar. Interaction between T-cell inflamed gene expression profile score and tumor-associated microbiome on colorectal cancer mortality in a heterogeneous patient population 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 2867.

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Thomas et al. (2026) studied this question.

synapsesocial.com/papers/69d1fd29a79560c99a0a2fbahttps://doi.org/10.1158/1538-7445.am2026-2867
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