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Capturing tumour heterogeneity in pre- and post-chemotherapy colorectal cancer ascites-derived cells using single-cell RNA-sequencing. Biosci Rep 2021; 41:230018. [PMID: 34708245 PMCID: PMC8655500 DOI: 10.1042/bsr20212093] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 10/16/2021] [Accepted: 10/22/2021] [Indexed: 12/18/2022] Open
Abstract
Malignant ascites is an abnormal accumulation of fluid within the peritoneal cavity, caused by metastasis of several types of cancers, including colorectal cancer (CRC). Cancer cells in ascites reflect poor prognosis and serve as a good specimen to study tumour heterogeneity, as they represent a collection of multiple metastatic sites in the peritoneum. In the present study, we have employed single-cell RNA-sequencing (scRNA-seq) to explore and characterise ascites-derived cells from a CRC patient. The samples were prepared using mechanical and enzymatic dissociations, and obtained before and after a chemotherapy treatment. Unbiased clustering of 19,653 cells from four samples reveals 14 subclusters with unique transcriptomic patterns in four major cell types: epithelial cells, myeloid cells, fibroblasts, and lymphocytes. Interestingly, the percentages of cells recovered from different cell types appeared to be influenced by the preparation protocols, with more than 90% reduction in the number of myeloid cells recovered by enzymatic preparation. Analysis of epithelial cell subpopulations unveiled only three out of eleven subpopulations with clear contraction after the treatment, suggesting that the majority of the heterogeneous ascites-derived cells were resistant to the treatment, potentially reflecting the poor treatment outcome observed in the patient. Overall, our study showcases highly heterogeneous cancer subpopulations at single-cell resolution, which respond differently to a particular chemotherapy treatment. All in all, this work highlights the potential benefit of single-cell analyses in planning appropriate treatments and real-time monitoring of therapeutic response in cancer patients through routinely discarded ascites samples.
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Yun J, Han SB, Kim HJ, Go SI, Lee WS, Bae WK, Cho SH, Song EK, Lee OJ, Kim HK, Yang Y, Kwon J, Chae HB, Lee KH, Han HS. Exosomal miR-181b-5p Downregulation in Ascites Serves as a Potential Diagnostic Biomarker for Gastric Cancer-associated Malignant Ascites. J Gastric Cancer 2019; 19:301-314. [PMID: 31598373 PMCID: PMC6769363 DOI: 10.5230/jgc.2019.19.e27] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 07/24/2019] [Accepted: 08/11/2019] [Indexed: 01/05/2023] Open
Abstract
Purpose Peritoneal carcinomatosis in gastric cancer (GC) patients results in extremely poor prognosis. Malignant ascites samples are the most appropriate biological material to use to evaluate biomarkers for peritoneal carcinomatosis. This study identified exosomal MicroRNAs (miRNAs) differently expressed between benign liver cirrhosis-associated ascites (LC-ascites) and malignant gastric cancer-associated ascites (GC-ascites), and validated their role as diagnostic biomarkers for GC-ascites. Materials and Methods Total RNA was extracted from exosomes isolated from 165 ascites samples (73 LC-ascites and 92 GC-ascites). Initially, microarrays were used to screen the expression levels of 2,006 miRNAs in the discovery cohort (n=22). Subsequently, quantitative reverse transcriptase-polymerase chain reaction (qRT-PCR) analyses were performed to validate the expression levels of selected exosomal miRNAs in the training (n=70) and validation (n=73) cohorts. Furthermore, carcinoembryonic antigen (CEA) levels were determined in ascites samples. Results The miR-574-3p, miR-181b-5p, miR-4481, and miR-181d were significantly downregulated in the GC-ascites samples compared to the LC-ascites samples, and miR-181b-5p showed the best diagnostic performance for GC-ascites (area under the curve [AUC]=0.798 and 0.846 for the training and validation cohorts, respectively). The diagnostic performance of CEA for GC-ascites was improved by the combined analysis of miR-181b-5p and CEA (AUC=0.981 and 0.946 for the training and validation cohorts, respectively). Conclusions We identified exosomal miRNAs capable of distinguishing between non-malignant and GC-ascites, showing that the combined use of miR-181b-5p and CEA could improve diagnosis.
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Affiliation(s)
- Jieun Yun
- Department of Pharmaceutical Engineering, College of Science Engineering, Cheongju University, Cheongju, Korea
| | - Sang-Bae Han
- College of Pharmacy, Chungbuk National University, Cheongju, Korea
| | - Hong Jun Kim
- Department of Internal Medicine, Gyeongsang National University School of Medicine, Jinju, Korea
| | - Se-Il Go
- Department of Internal Medicine, Gyeongsang National University School of Medicine, Jinju, Korea
| | - Won Sup Lee
- Department of Internal Medicine, Gyeongsang National University School of Medicine, Jinju, Korea
| | - Woo Kyun Bae
- Department of Internal Medicine, Chonnam National University Hwasun Hospital, Hwasun, Korea.,Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea
| | - Sang-Hee Cho
- Department of Internal Medicine, Chonnam National University Hwasun Hospital, Hwasun, Korea.,Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea
| | - Eun-Kee Song
- Department of Internal Medicine, Chonbuk National University Medical School, Jeonju, Korea.,Research Institute of Clinical Medicine of Chonbuk National University, Biomedical Research Institute of Chonbuk National University, Jeonju, Korea
| | - Ok-Jun Lee
- Department Pathology, Chungbuk National University Hospital, Cheongju, Korea.,Department of Pathology, Chungbuk National University College of Medicine, Cheongju, Korea
| | - Hee Kyung Kim
- Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Korea
| | - Yaewon Yang
- Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Korea
| | - Jihyun Kwon
- Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Korea
| | - Hee Bok Chae
- Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Korea.,Department of Internal Medicine, Chungbuk National University College of Medicine, Korea
| | - Ki Hyeong Lee
- Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Korea.,Department of Internal Medicine, Chungbuk National University College of Medicine, Korea
| | - Hye Sook Han
- Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Korea.,Department of Internal Medicine, Chungbuk National University College of Medicine, Korea
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