Tumor-promoting macrophages prevail in malignant ascites of advanced gastric cancer.
Hye Hyeon EumMinsuk KwonDaeun RyuAreum JoWoosung ChungNayoung KimYourae HongDae-Soon SonSeung Tae KimJeeyun LeeHae-Ock LeeWoong-Yang ParkPublished in: Experimental & molecular medicine (2020)
Gastric cancer (GC) patients develop malignant ascites as the disease progresses owing to peritoneal metastasis. GC patients with malignant ascites have a rapidly deteriorating clinical course with short survival following the onset of malignant ascites. Better optimized treatment strategies for this subset of patients are needed. To define the cellular characteristics of malignant ascites of GC, we used single-cell RNA sequencing to characterize tumor cells and tumor-associated macrophages (TAMs) from four samples of malignant ascites and one sample of cerebrospinal fluid. Reference transcriptomes for M1 and M2 macrophages were generated by in vitro differentiation of healthy blood-derived monocytes and applied to assess the inflammatory properties of TAMs. We analyzed 180 cells, including tumor cells, macrophages, and mesothelial cells. Dynamic exchange of tumor-promoting signals, including the CCL3-CCR1 or IL1B-IL1R2 interactions, suggests macrophage recruitment and anti-inflammatory tuning by tumor cells. By comparing these data with reference transcriptomes for M1-type and M2-type macrophages, we found noninflammatory characteristics in macrophages recovered from the malignant ascites of GC. Using public datasets, we demonstrated that the single-cell transcriptome-driven M2-specific signature was associated with poor prognosis in GC. Our data indicate that the anti-inflammatory characteristics of TAMs are controlled by tumor cells and present implications for treatment strategies for GC patients in which combination treatment targeting cancer cells and macrophages may have a reciprocal synergistic effect.
Keyphrases
- single cell
- end stage renal disease
- poor prognosis
- newly diagnosed
- ejection fraction
- chronic kidney disease
- cell free
- rna seq
- anti inflammatory
- prognostic factors
- squamous cell carcinoma
- adipose tissue
- gene expression
- healthcare
- long non coding rna
- mass spectrometry
- oxidative stress
- radiation therapy
- lymph node
- patient reported outcomes
- immune response
- regulatory t cells
- high resolution
- artificial intelligence
- emergency department
- cell cycle arrest
- deep learning
- liver fibrosis