Capturing tumor heterogeneity in pre- and post-chemotherapy colorectal cancer ascites-derived cells using single-cell RNA-sequencing
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA656202 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12418421_1.fastq.gz | Fastqsanger.gz | |||
| SRR12418421_2.fastq.gz | Fastqsanger.gz | |||
| SRR12418422_1.fastq.gz | Fastqsanger.gz | |||
| SRR12418422_2.fastq.gz | Fastqsanger.gz | |||
| SRR12418423_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 8 |
Similar Datasets
Project description:Purpose: Malignant ascites is an abnormal accumulation of fluid within the peritoneal cavity, caused by metastasis of several cancer types including colorectal cancer. Cancer cells in ascites reflect poor prognosis and can be a source of recurrence. They also represent a good source of specimens for the study of tumor heterogeneity. Single-cell RNA-sequencing (scRNA-seq) has recently emerged as a powerful tool for exploring and characterizing cellular heterogeneity in both normal tissues and cancers. However, molecular profiles of malignant ascites cells in response to treatment are still poorly understood. Materials and Methods: We have performed scRNA-seq of ascites-derived cells from a colorectal cancer patient to profile and characterize the cellular heterogeneity and different expression hallmarks within the cell populations before and after a chemotherapy treatment. The effect of different single cell preparation protocols, namely, manual and enzymatic methods, on cell viability and gene expression were also assessed. Results: Unbiased clustering of 19,653 cells in total reveals 12 sub-clusters with unique transcriptomic patterns from four major cell types: epithelial cells, myeloid cells, fibroblast, and lymphocytes. Interestingly, the percentages of cells recovered from different cell types appeared to be influenced by the preparation protocols; enzymatic and mechanical separations, with more than 90% reduction in myeloid cell number when enzymatic method was used. Subcluster analysis of epithelial cell populations before and after chemotherapy treatment identified distinct cell clusters with unique transcriptomic profiles. Moreover, there were only three out of 11 epithelial subclones with more than 50% reduction in tumor cell number after treatment. This finding indicated that most clones were resistant to the treatment, which reflected the poor treatment outcome observed in our patient. Conclusions: Overall, our study underscores cellular heterogeneity within malignant ascites and uncovers the gene expression profile of colorectal cancer ascites-derived cells in single-cell resolution. Our findings emphasize the potential benefit of using scRNA-Seq to monitor real-time treatment response in cancer patients.
2021-12-15 | GSE155953 | GEO
Project description: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.
| S-EPMC8655500 | biostudies-literature
Project description:Ovarian cancer is characterized by transcoelomic metastasis into the peritoneal cavity. The peritoneal malignant ascites is enriched with ovarian cancer cells and a small amount of tumor-associated immune cells which create a unique microenvironment actively contributing to progression of the disease. However, it is remain unclear how cancer cells communicate to its local environment under the influence of chemotherapy. To address this issue, we performed LC-MS/MS analyses of ovarian cancer ascites from the same patients before and after chemotherapy. We found that neoadjuvant chemotherapy causes a significant changes in the composition of ascites, and these changes are similar in samples obtained from all patients (n=10). Functional annotation of upregulated proteins with the use of KEGG and GO databases revealed that malignant ascites after chemotherapy were enriched with the cluster of spliceosomal proteins. These splicing factors were linked to induction of epithelial-to-mesenchymal transition leading to a more aggressive phenotype of cancer cells.
2024-05-29 | PXD019327 | Pride
Project description:Chemotherapy in complex with surgical removal remain the most common approaches in cancer treatment, but their effectiveness is limited by the emergence of chemoresistance. In order to reveal changes in transcriptomic profiles of cancer cells remaining after platinum-based chemotherapy, we created primary cultures of cancer cells isolated from paired ascites of ovarian cancer patients taken at the time of diagnosis and after neoadjuvant chemotherapy. Enrichment analysis revealed significant activation of genes associated with DNA repair and cell cycle regulation in tumor cells after chemotherapy.
2024-04-24 | GSE241908 | GEO
Project description:In metastatic cancer, the degree of heterogeneity of the tumor-immune microenvironment and its molecular underpinnings remain largely unstudied. To characterize the tumor-immune interface at baseline and during neoadjuvant chemotherapy in high-grade serous ovarian cancer (HGSOC), we performed immunogenomics analysis of treatment-naive and paired pre/post-chemotherapy treated samples. In treatment-naive HGSOC, we find that immune cell-excluded and inflammatory microenvironments co-exist within the same individuals and within the same tumor sites, indicating ubiquitous variability in immune cell infiltration. Analysis of tumor microenvironment cell composition, DNA copy number, mutations and gene expression showed that immune cell exclusion was associated with amplification of Myc target genes and increased expression of canonical Wnt signaling in treatment-naive HGSOC. Following neoadjuvant chemotherapy, increased natural killer cell infiltration and oligoclonal expansion of T cells were detected. We demonstrate that the tumor-immune microenvironment of advanced HGSOC is intrinsically heterogeneous and that chemotherapy induces local immune activation, suggesting that chemotherapy can potentiate the immunogenicity of immune-excluded HGSOC tumors. The goal of this particular experiment was quantify RNA expression using microarray technology, and then evaluate differences in the trasncirptomic landscape of treatment naïve metastatic high grade serous ovarian cancer.
2020-03-14 | GSE146963 | GEO
Project description:Methylome-wide DNA methylation profiling of spatially separated breast tumor samples pre- and post-neoadjuvant chemotherapy (NAC) to characterize methylation heterogeneity alteration by NAC. The Illumina Infinium HumanMethylation450K Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 485,000 CpGs in the 47 samples derived from 8 breast cancer patients.
2019-01-31 | GSE106360 | GEO
Project description:Peritoneal carcinomatosis with malignant ascites is associated with dismal prognosis in gastric cancer. Malignant ascites is the most relevant body fluid in which to seek diagnostic biomarkers for peritoneal carcinomatosis. We aimed to identify and validate ascites-derived circulating microRNAs (miRNAs) that are differentially expressed between liver cirrhosis-associated benign ascites (LC-ascites) and gastric cancer-associated malignant ascites (GC-ascites). MiRNA expression levels were investigated in three independent cohorts. Overall, 165 ascites samples (73 LC-ascites and 92 GC-ascites) were obtained from the National Biobank of Korea. 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 used to validate the expression levels of selected miRNAs in the training (n = 70) and validation (n= 73) cohorts. In addition, the levels of carcinoembryonic antigen (CEA), a commonly used tumor marker, were determined in the ascites samples. Expression levels of miR-574-3p, miR-181b-5p, miR-4481, and miR-181d were significantly lower in the GC-ascites samples than in 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 if CEA and miR-181b-5p were analyzed together (AUC = 0.981 and 0.946 for the training and validation cohorts, respectively). Overall, we identified ascites-derived circulating miRNAs capable of differentiating non-malignant ascites and GC-ascites, and demonstrated that the combined use of miR-181b-5p and CEA produces the optimal diagnostic yield.
2019-02-12 | GSE126399 | GEO
Project description:Unraveling Tumor-Immune Heterogeneity in Advanced Ovarian Cancer Uncovers Immunogenic Effect of Chemotherapy [Pre&Post-Tx]
| PRJNA612522 | ENA
Project description:Ovarian cancer is characterized by transcoelomic metastasis into the peritoneal cavity. The peritoneal malignant ascites is enriched with ovarian cancer cells and a small amount of tumor-associated immune cells which create a unique microenvironment actively contributing to progression of the disease. However, it remains unclear how cancer cells communicate to its local environment under the influence of chemotherapy. To address this issue, we performed LC-MS/MS analyses of several primary cultures of ovarian cancer cells from chemonaive malignant ascites incubated for 3 days with autologous pre- or post-chemotherapy ascitic fluids. Enrichment analysis identified prominent upregulation of proteins associated with pathways of DNA repair and cell cycle regulation in tumor cells incubated with ascitic fluids after chemotherapy. Consistently with these data, ascites after therapy increased the resistance of ovarian cancer cells to cisplatin. These findings demonstrate that under stress condition cancer cells can secrete signaling molecules into the extracellular space and contribute to the emergence of tumor chemoresistance during short time period.
2024-05-29 | PXD045647 | Pride
Project description:Ovarian cancer is characterized by transcoelomic metastasis into the peritoneal cavity. The peritoneal malignant ascites is enriched with ovarian cancer cells and a small amount of tumor-associated immune cells which create a unique microenvironment actively contributing to progression of the disease. However, it is remain unclear how chemonaive and post-chemotherapy ovarian cancer ascitic fluids influence on cancer cells. To address this issue, we performed RNAseq analysis of primary cultures of ovarian cancer cells incubated for 3 days in the presence of ascites from the same patients before and after chemotherapy. We found that ascites after therapy causes a significant changes in transcriptomic profiles of cancer cells, and these changes are similar in samples obtained from all patients (n=4). Enrichment analysis of differentially expressed genes in tumor cells incubated with ascites after chemotherapy identified prominent up-regulation of genes associated with DNA repair, mitotic cell cycle regulation, and cell cycle checkpoints. These findings demonstrate how ascitic fluids persisted after chemotherapy can contribute to the emergence of tumor chemoresistance during short time period.
2024-04-24 | GSE241909 | GEO