Publication:
Capturing tumour heterogeneity in pre- And post-chemotherapy colorectal cancer ascites-derived cells using single-cell RNA-sequencing

dc.contributor.authorTiraput Poonpanichakulen_US
dc.contributor.authorMeng Shin Shiaoen_US
dc.contributor.authorNatnicha Jiravejchakulen_US
dc.contributor.authorPonpan Matangkasombuten_US
dc.contributor.authorEkaphop Sirachainanen_US
dc.contributor.authorVarodom Charoensawanen_US
dc.contributor.authorNatini Jinawathen_US
dc.contributor.otherFaculty of Medicine Ramathibodi Hospital, Mahidol Universityen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2022-08-04T08:02:46Z
dc.date.available2022-08-04T08:02:46Z
dc.date.issued2021-12-01en_US
dc.description.abstractMalignant 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.en_US
dc.identifier.citationBioscience Reports. Vol.41, No.12 (2021)en_US
dc.identifier.doi10.1042/BSR20212093en_US
dc.identifier.issn15734935en_US
dc.identifier.issn01448463en_US
dc.identifier.other2-s2.0-85121649216en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/75895
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85121649216&origin=inwarden_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.titleCapturing tumour heterogeneity in pre- And post-chemotherapy colorectal cancer ascites-derived cells using single-cell RNA-sequencingen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85121649216&origin=inwarden_US

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