Cellular composition and the interpretation of candidate RNA readouts of trogocytosis in colorectal cancer

Background: RNA measurements of genes associated with trogocytosis may reflect cellular composition rather than contact-dependent membrane acquisition. We evaluated an eight-gene candidate module in colorectal cancer (CRC) using expression- and lineage-matched random modules, independent compartment analysis and patient-level inference. A separate rare-transcript definition and cancer-model fitness screens provided complementary analyses. Results: In 62 GSE178341 patients, the module correlated with T-cell fraction (ρ=0.767), but this association was typical of 10,000 matched modules (null median 0.766; one-sided empirical P=0.493; equal-tail two-sided P=0.985). A post hoc closest-10% matching sensitivity gave P=0.571. In 23 independent GSE132465 patients, the tumour-wide correlation was 0.735 (permutation P=0.00060) and the epithelial correlation was 0.376 (P=0.0892). The difference in absolute correlations was 0.359, with a 95% confidence interval of −0.041 to 0.759, leaving attenuation uncertain. Among 43,817 leukocytes, 16 CEACAM5-positive candidates arose from four patients; 15 had expression ≤2 transcripts per million. Candidate counts were threshold-sensitive. No survival association was detected for the module in two cohorts. SCD fitness dependency reproduced across CRC organoids and cell lines, whereas adjusted SCD–VPS72 and exploratory ATF3–SMYD2 co-dependencies did not. Exploratory CH25H, ATF3 and FADS2 analyses yielded no Hallmark enrichment meeting the multiple-testing threshold. Conclusions: Matched-module calibration placed the strong association with T-cell abundance within the range expected for comparable immune-lineage genes. Independent compartment analysis was consistent with a contribution from cellular composition, although attenuation remained uncertain. These results identify the comparison conditions needed to interpret the tested RNA readouts. Linking them to membrane transfer requires event-resolved protein measurements.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-11-04
DOI
https://doi.org/10.64898/2026.10.28.762407
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
preprint
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preprint

Cellular composition and the interpretation of candidate RNA readouts of trogocytosis in colorectal cancer

Yao Tang, Jinglin Wang, Juan Yang, Wei Zhu et al.
bioRxiv (Cold Spring Harbor Laboratory)
Cancer Immunotherapy and Biomarkers
preprint

Cellular composition and the interpretation of candidate RNA readouts of trogocytosis in colorectal cancer

Yao Tang, Jinglin Wang, Juan Yang, Wei Zhu, Lei Xu, Pan Sun, Yao Wang, Yan Zhang
preprint en

Abstract

Background: RNA measurements of genes associated with trogocytosis may reflect cellular composition rather than contact-dependent membrane acquisition. We evaluated an eight-gene candidate module in colorectal cancer (CRC) using expression- and lineage-matched random modules, independent compartment analysis and patient-level inference. A separate rare-transcript definition and cancer-model fitness screens provided complementary analyses. Results: In 62 GSE178341 patients, the module correlated with T-cell fraction (ρ=0.767), but this association was typical of 10,000 matched modules (null median 0.766; one-sided empirical P=0.493; equal-tail two-sided P=0.985). A post hoc closest-10% matching sensitivity gave P=0.571. In 23 independent GSE132465 patients, the tumour-wide correlation was 0.735 (permutation P=0.00060) and the epithelial correlation was 0.376 (P=0.0892). The difference in absolute correlations was 0.359, with a 95% confidence interval of −0.041 to 0.759, leaving attenuation uncertain. Among 43,817 leukocytes, 16 CEACAM5-positive candidates arose from four patients; 15 had expression ≤2 transcripts per million. Candidate counts were threshold-sensitive. No survival association was detected for the module in two cohorts. SCD fitness dependency reproduced across CRC organoids and cell lines, whereas adjusted SCD–VPS72 and exploratory ATF3–SMYD2 co-dependencies did not. Exploratory CH25H, ATF3 and FADS2 analyses yielded no Hallmark enrichment meeting the multiple-testing threshold. Conclusions: Matched-module calibration placed the strong association with T-cell abundance within the range expected for comparable immune-lineage genes. Independent compartment analysis was consistent with a contribution from cellular composition, although attenuation remained uncertain. These results identify the comparison conditions needed to interpret the tested RNA readouts. Linking them to membrane transfer requires event-resolved protein measurements.

bioRxiv (Cold Spring Harbor Laboratory)
Affiliated Hospital of Guizhou Medical University (CN)
Cancer Immunotherapy and Biomarkers
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