Single-cell mRNA sequencing identifies subclonal heterogeneity in anti-cancer drug responses of lung adenocarcinoma cells

Kim, Kyu‐Tae; Lee, Hye Won; Lee, Hae‐Ock; Kim, Sang Cheol; Seo, Yun Jee; Chung, Wingyan; Eum, Hye Hyeon; Nam, Do‐Hyun; Kim, Junhyong; Joo, Kyeung Min; Park, Woong-Yang

doi:10.1186/s13059-015-0692-3

Cited by 244 publications

(242 citation statements)

References 65 publications

(95 reference statements)

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“…This has clearly increased the tumour complexity over performing analysis on bulk tissue showing even deeper levels of intra-tumour heterogeneity in many cancer types (3)(4)(5)(6). Single cell analysis on CSCs in osteosarcoma has, to our knowledge, currently not been reported but could significantly help to understand the diversity of these cells.…”

Section: Cancer Stem Cells and Tumour Heterogeneity: What Do We Know mentioning

confidence: 99%

Cancer stem cells in osteosarcoma

2017

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Abstract:Osteosarcoma is the most common primary bone tumour in children and adolescents and advanced osteosarcoma patients with evidence of metastasis share a poor prognosis.Osteosarcoma frequently gains resistance to standard therapies highlighting the need for improved treatment regimens and identification of novel therapeutic targets. Cancer stem cells (CSC) represent a sub-type of tumour cells attributed to critical steps in cancer including tumour propagation, therapy resistance, recurrence and in some cases metastasis. Recent published work demonstrates evidence of cancer stem cell phenotypes in osteosarcoma with links to drug resistance and tumorigenesis. In this review we will discuss the commonly used isolation techniques for cancer stem cells in osteosarcoma as well as the identified biochemical and molecular markers.

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Section: Cancer Stem Cells and Tumour Heterogeneity: What Do We Know mentioning

confidence: 99%

Cancer stem cells in osteosarcoma

2017

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“…B1-3, singlecell suspension of the peripheral blood "cloudy" interface layer for CTCs, which mainly are of solid tumors. B2, four popular methods for single (cancer) cell isolation: FACS, microfluidics systems, micromanipulation system, and LCM (27). C, single-cell sequencing.…”

Section: Single-cell Wes Versus Single-cell Wgsmentioning

confidence: 99%

Single-Cell Sequencing for Precise Cancer Research: Progress and Prospects

et al. 2016

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Advances in genomic technology have enabled the faithful detection and measurement of mutations and the gene expression profile of cancer cells at the single-cell level. Recently, several single-cell sequencing methods have been developed that permit the comprehensive and precise analysis of the cancer-cell genome, transcriptome, and epigenome. The use of these methods to analyze cancer cells has led to a series of unanticipated discoveries, such as the high heterogeneity and stochastic changes in cancer-cell populations, the new driver mutations and the complicated clonal evolution mechanisms, and the novel identification of biomarkers of variant tumors. These methods and the knowledge gained from their utilization could potentially improve the early detection and monitoring of rare cancer cells, such as circulating tumor cells and disseminated tumor cells, and promote the development of personalized and highly precise cancer therapy. Here, we discuss the current methods for single cancer-cell sequencing, with a strong focus on those practically used or potentially valuable in cancer research, including single-cell isolation, whole genome and transcriptome amplification, epigenome profiling, multi-dimensional sequencing, and next-generation sequencing and analysis. We also examine the current applications, challenges, and prospects of single cancer-cell sequencing.

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“…By using single-cell RNASeq data, the authors revealed substantial similarity with primary ALL cells isolated from pediatric and adult patients at minimal residual disease (MRD) [32]. Using this later approach, Kim et al were able to demonstrate a candidate tumor cell subgroup associated with anti-cancer drug resistance in viable lung adenocarcinoma in PDTX [48]. Additionally, Nguyen LV et al have applied a DNA barcoding technology to track the clonal evolution of breast PDTX.…”

Section: Pdtx In Basic Cancer Research Modeling Tumor Heterogeneity Amentioning

confidence: 99%

Patient-Derived-Tumor-Xenograft: modeling cancer for basic and translational cancer research

Fiore¹,

Giacomo²,

Kyriakides³

et al. 2017

Clin Diagn Pathol

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Patient-Derived-Tumor-Xenografts (PDTX) represent one of the most promising platforms to model human cancer and its complexity. PDTX are able to closely recapitulate the principal features of donor tumors, and remain fairly stable along the passages, rendering them an ideal tool to serve as powerful and predictive models in oncology. Here we aimed to overview our current understanding of PDTX, and their potential applications in basic and translational cancer research. We briefly describe the methodological aspects of PDTX generation, and then focus on the usefulness of PDTX in tumor heterogeneity and clonal evolution studies, as well as their usage to dissect the host microenvironment and the emergence of drug resistance. We also focus on the key role of PDTX in the discovery of biomarkers and drug screening development. The limitations and future perspectives to further improve the PDTX models are also discussed.

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Single-cell mRNA sequencing identifies subclonal heterogeneity in anti-cancer drug responses of lung adenocarcinoma cells

Cited by 244 publications

References 65 publications

Cancer stem cells in osteosarcoma

Cancer stem cells in osteosarcoma

Single-Cell Sequencing for Precise Cancer Research: Progress and Prospects

Patient-Derived-Tumor-Xenograft: modeling cancer for basic and translational cancer research

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