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High-resolution analysis of mononuclear phagocytes reveals clinically relevant markers in human colo-rectal liver metastasis - Visium Spatial Transcriptomics

ABSTRACT: High-resolution analysis of mononuclear phagocytes reveals clinically relevant markers in human colo-rectal liver metastasis - Visium Spatial Transcriptomics

PROVIDER: PRJNA1070252 | ENA |

REPOSITORIES: ENA

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High-resolution analysis of mononuclear phagocytes reveals clinically relevant markers in human colo-rectal liver metastasis - Visium Spatial Transcriptomics

Project description:Macrophages (Mf) are the most abundant mononuclear phagocytes in tumor tissues and hold promise as therapeutic targets and indicators of disease progression. In this work, we mapped by single-cell analysis the distinct Mf populations infiltrating the invasive margin and normal adjacent regions of human colo-rectal liver metastasis (CLM), and we exploited this information to identify non redundant markers with clinical relevance. Different populations were enriched in the invasive margin, including early-mature, inflammatory Mf (MoMf) expressing the monocytic markers S100A12 and SERPINB2, and a more mature population (TAMs) expressing CD68, GPNMB and TREM2. TAMs were enriched in pathways of matrix degradation, angiogenesis and lipid metabolism, similarly to dysfunctional macrophages described in other tumors. Cell-cell interaction analysis with CD8+ T cells defined opposing roles of MoMf, predicted to interact via IL-15, and TAMs, engaging T cells via IL-20 and IL-10. By multiplex immunofluorescence in CLM sections, we confirmed that SERPINB2 and GPNMB are expressed by different Mf subsets, with distinct topographical distribution and opposite association with patient clinical outcome.

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High-resolution analysis of mononuclear phagocytes reveals clinically relevant markers in human colo-rectal liver metastasis

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Predicting multi-class responses to preoperative chemoradiotherapy in rectal patients

Project description:The treatment strategy of rectal cancer has substantially changed in recent decades. Historically postoperative chemoradiotherapy (CRT) was considered to be the first-line therapy for stage II and III rectal cancers. However, the preoperative CRT is now considered to be the optimal therapy regimen for locally advanced rectal ancer due to its improved local control, reduced toxicity, and increased rate of sphincter preservation. Our study established a clinically practical multi-class prediction model by adopting a novel strategy that applies two separate prediction models (MI and TO predictor) sequentially to a patient to predict the response. For promising clinical practice, we validated our model in a published dataset, which is completely independent dataset from ours. This study suggests a clinically plausible prediction model that correctly infers the preoperative CRT response of patients with high accuracy based on 163 gene signatures we identified. Total RNAs were isolated from primary rectal tumor tissues of 69 patients who underwent chemoradiation therapy (CRT). These patients are classified into four different CRT responses: minimal response (MI), moderate response (MO), near total response (NT) and total response (TO). All the RNAs were subjected to microarray analysis using Affymetrix GenChip arrays.

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