Single-cell analysis reveals transcriptomic remodellings in distinct cell types that contribute to human prostate cancer progression

Chen, Sujun; Zhu, Guijin; Yang, Yongmei; Wang, Fubo; Xiao, Yu‐Tian; Zhang, Na; Bian, Xiaojie; Zhu, Yasheng; Ye, Yu; Liu, Fei; Dong, Ke-Qin; Mariscal, Javier; Liu, Yin; Soares, Fraser; Yau, Helen Loo; Zhang, Bo; Chen, Weidong; Wang, Chao; Dai, Chen; Guo, Qinghua; Yi, Zhengfang; Liu, Mingyao; Fraser, Michael; Carvalho, Daniel D De; Boutros, Paul C.; Vizio, Dolores Di; Jiang, Zhou; Kwast, Theodorus van der; Berlín, Alejandro; Wu, Song; Wang, Jianhua; He, Housheng Hansen; Ren, Shancheng

doi:10.1038/s41556-020-00613-6

Cited by 291 publications

(320 citation statements)

References 68 publications

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“…Studies have reported that tumor cells are able to 'hijack' immune cells and prime them to aid metastatic potential (51). As studied by Chen et al (53), immune cells can be infiltrated by tumor cells forming tumor-associated macrophages (TAMs).…”

Section: Tumor Microenvironment In Prostate Cancermentioning

confidence: 99%

The Pathogenesis of Prostate Cancer

Murray

2021

Prostate Cancer

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Prostate cancer is a major cause of pathology in men world-wide and is age-related. Rare in the under 40s, a third of all those over 80 have been shown to have prostate lesions at autopsy. Both hereditary and molecular influences appear to be involved in the pathogenesis of the condition. Androgenic receptors play a major role in most, but not all, prostate cancers. The cell type involved is related to the aggressiveness of the malignancy. Of those that develop the disease, some die with prostate cancer, others because of it. Over 90% of the cancers are adenocarcinomas. The likelihood of progression of the disease can, but only to a degree, be predicted on histological examination, according to the Gleason Scale and its modifications. These assess degrees of tissue differentiation. Use of blood levels of prostate specific antigen levels as an indication of the activity of tumors is also not straightforward. Our understanding of the disease mechanisms needs further expansion if we are to advance diagnosis of aggressive tumors and develop more effective therapies.

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Section: Tumor Microenvironment In Prostate Cancermentioning

confidence: 99%

The Pathogenesis of Prostate Cancer

Murray

2021

Prostate Cancer

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“…For example, the intra-tumoural heterogeneity and malignant progression in pancreatic ductal adenocarcinoma have been revealed by scRNA-seq (16). And by using this new technique, the developmental lineage of tumour cells, the tumour microenvironment and potential therapeutic targets can be revealed, such as in oligodendroglioma, breast cancer, prostate cancer and hepatocellular carcinoma (17)(18)(19)(20). In this study, a case of sporadic bilateral clear cell RCC (ccRCC) was examined at single-cell resolution by scRNA-seq.…”

Section: Introductionmentioning

confidence: 99%

Single-Cell RNA-seq Identification of the Cellular Molecular Characteristics of Sporadic Bilateral Clear Cell Renal Cell Carcinoma

et al. 2021

Front. Oncol.

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Bilateral renal cell carcinoma (RCC) is a rare disease that can be classified as either familial or sporadic. Studying the cellular molecular characteristics of sporadic bilateral RCC is important to provide guidance for clinical treatment. Cellular molecular characteristics can be expressed at the RNA level, especially at the single-cell degree. Single-cell RNA sequencing (scRNA-seq) was performed on bilateral clear cell RCC (ccRCC). A total of 3,575 and 3,568 high-quality single-cell transcriptome data were captured from the left and right tumour tissues, respectively. Gene characteristics were identified by comparing left and right tumours at the scRNA level. The complex cellular environment of bilateral ccRCC was presented by using scRNA-seq. Single-cell transcriptomic analysis revealed high similarity in gene expression among most of the cell types of bilateral RCCs but significant differences in gene expression among different site tumour cells. Additionally, the potential biological function of different tumour cell types was determined by gene ontology (GO) analysis. The transcriptome characteristics of tumour tissues in different locations at the single-cell transcriptome level were revealed through the scRNA-seq of bilateral sporadic ccRCC. This work provides new insights into the diagnosis and treatment of bilateral RCC.

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“…Clustering of the final integrated dataset revealed 3 distinct macrophage subtypes (Figure 2C). of tissues (Supplementary Table 2) [51][52][53][54][55][56][57][58]. The number of PCs used in this analysis were carefully selected to ensure the appropriate amount of biological variation was included (Supplementary Figure 5).…”

Section: Clustering Of Myeloid Cells To Identify Pca Macrophage Subtypesmentioning

confidence: 99%

The Prognostic Potential of Human Prostate Cancer-Associated Macrophage Subtypes as Revealed by Single-Cell Transcriptomics

Siefert

Cioni

Muraro

et al. 2021

Molecular Cancer Research

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Macrophages in the tumor microenvironment are causally linked with prostate cancer development and progression, yet little is known about their composition in neoplastic human tissue. By performing single cell transcriptomic analysis of human prostate cancer resident macrophages, three distinct populations were identified in the diseased prostate. Unexpectedly, no differences were observed between macrophages isolated from the tumorous and non-tumorous portions of the prostatectomy specimens. Markers associated with canonical M1 and M2 macrophage phenotypes were identifiable, however these were not the main factors defining unique subtypes. The genes selectively associated with each macrophage cluster were used to develop a gene signature which was highly associated with both recurrence-free and metastasis-free survival. These results highlight the relevance of tissue-specific macrophage subtypes in the tumour microenvironment for prostate cancer progression and demonstrates the utility of profiling single-cell transcriptomics in human tumor samples as a strategy to design gene classifiers for patient prognostication.

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Single-cell analysis reveals transcriptomic remodellings in distinct cell types that contribute to human prostate cancer progression

Cited by 291 publications

References 68 publications

The Pathogenesis of Prostate Cancer

The Pathogenesis of Prostate Cancer

Single-Cell RNA-seq Identification of the Cellular Molecular Characteristics of Sporadic Bilateral Clear Cell Renal Cell Carcinoma

The Prognostic Potential of Human Prostate Cancer-Associated Macrophage Subtypes as Revealed by Single-Cell Transcriptomics

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