Correction: Identification of grade and origin specific cell populations in serous epithelial ovarian cancer by single cell RNA-seq

Shih, Andrew; Menzin, Andrew; Whyte, Jill; Lovecchio, John L.; Liew, Anthony; Khalili, Houman; Bhuiya, Tawfiqul; Gregersen, Peter K.; Lee, Annette T.

doi:10.1371/journal.pone.0208778

Cited by 19 publications

(10 citation statements)

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“…We also note that adipocytes were separated during centrifugation after tumor digestion and not included in the single-cell experiments. While a previous scRNA-seq study reported the presence of mesothelial cells in benign ovarian tumors (Shih et al, 2018), we did not detect mesothelial cells in our metastatic dataset from the omentum.…”

Section: Accesscontrasting

confidence: 91%

“…Based on the expression of WT1 and CD24, we refer to this cluster as ''cancer epithelial cells'' (Figure S2) (Hylander et al, 2006;Kristiansen et al, 2002). We also integrated our data with previously published ovarian cancer scRNA-seq data, and all of the cancer epithelial cells were co-localized (data not shown) (Shih et al, 2018;Izar et al, 2020). The chondrosarcomatous elements of MMMT (PT-6) were confirmed by our Drop-seq data (Figure S2; Table S1).…”

Section: Characteristics Of the Tumor Microenvironmentsupporting

confidence: 63%

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Characterizing the tumor microenvironment of metastatic ovarian cancer by single-cell transcriptomics

et al. 2021

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Section: Accesscontrasting

confidence: 91%

Section: Characteristics Of the Tumor Microenvironmentsupporting

confidence: 63%

Characterizing the tumor microenvironment of metastatic ovarian cancer by single-cell transcriptomics

et al. 2021

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“…The incidence rate of OC is second only to cervical cancer [26]. Among them, serous ovarian cancer (SOC) is one of the most malignant types [27]. For the treatment of SOC, traditional chemotherapy is difficult to achieve effective therapeutic effects [28].…”

Section: Discussionmentioning

confidence: 99%

RETRACTED ARTICLE: CYPA promotes the progression and metastasis of serous ovarian cancer (SOC) in vitro and in vivo

Wang

Yue³

et al. 2019

J Ovarian Res

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Ovarian cancer (OC) is a type of gynaecological malignancy with high mortality in females. Serous ovarian cancer (SOC) is a distinct subtype of OC with poor early diagnosis. Given the limitations of traditional therapies, such as chemotherapy, targeted treatment is therefore a promising therapy to improve the survival rate of SOC patients. Cyclophilin A (CYPA) is a member of Cyclophilin family and thought to participates in multiple cellular processes such as cell transduction and immune modulation. Recently, various of studies indicated that CYPA has critical impact on cancer progression. CYPA could regulate cell proliferation, invasion, and chemoresistance of multiple types of cancers. However, it is still unclear whether it could affect ovarian cancer. In this study, we demonstrated that CYPA was highly expressed in SOC tissues compared with adjacent tissues. Further, CYPA was significantly associated with clinical stage and lymphnode metastasis of SOC patients. Additionally, data indicated that knockdown of CYPA by its shRNA dramatically reduces migration and invasion capacity of SOC cells in vitro and blocks tumor metastasis in vivo. Our study investigates the involvement of CYPA in the progression and metastasis of SOC, and therefore provides CYPA as a promising therapeutic target for SOC treatment.

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“…Lohr and colleagues estimated that 95% of TCGA HGSOC tumors are polyclonal, and approximately 40% consist of ≥4 subclones (17). Recent single-cell studies further demonstrated extensive intratumoral heterogeneity of HGS ovarian tumors (18)(19)(20), consistent with the notion of an individual tumor being an intermixture of different malignant cell populations. Transcriptome subtypes might provide a useful summary of bulk tumor properties if these subtypes are shared by different intratumoral subclones, representing an intrinsic difference between tumors.…”

Section: Introductionmentioning

confidence: 83%

Multiomic Analysis of Subtype Evolution and Heterogeneity in High-Grade Serous Ovarian Carcinoma

Geistlinger

Ramos

et al. 2020

Cancer Research

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◥Multiple studies have identified transcriptome subtypes of highgrade serous ovarian carcinoma (HGSOC), but their interpretation and translation are complicated by tumor evolution and polyclonality accompanied by extensive accumulation of somatic aberrations, varying cell type admixtures, and different tissues of origin. In this study, we examined the chronology of HGSOC subtype evolution in the context of these factors using a novel integrative analysis of absolute copy-number analysis and gene expression in The Cancer Genome Atlas complemented by single-cell analysis of six independent tumors. Tumor purity, ploidy, and subclonality were reliably inferred from different genomic platforms, and these characteristics displayed marked differences between subtypes. Genomic lesions associated with HGSOC subtypes tended to be subclonal, implying subtype divergence at later stages of tumor evolution. Subclonality of recurrent HGSOC alterations was evident for proliferative tumors, characterized by extreme genomic instability, absence of immune infiltration, and greater patient age. In contrast, differentiated tumors were characterized by largely intact genome integrity, high immune infiltration, and younger patient age. Single-cell sequencing of 42,000 tumor cells revealed widespread heterogeneity in tumor cell type composition that drove bulk subtypes but demonstrated a lack of intrinsic subtypes among tumor epithelial cells. Our findings prompt the dismissal of discrete transcriptome subtypes for HGSOC and replacement by a more realistic model of continuous tumor development that includes mixtures of subclones, accumulation of somatic aberrations, infiltration of immune and stromal cells in proportions correlated with tumor stage and tissue of origin, and evolution between properties previously associated with discrete subtypes.Significance: This study infers whether transcriptome-based groupings of tumors differentiate early in carcinogenesis and are, therefore, appropriate targets for therapy and demonstrates that this is not the case for HGSOC.

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Correction: Identification of grade and origin specific cell populations in serous epithelial ovarian cancer by single cell RNA-seq

Cited by 19 publications

References 1 publication

Characterizing the tumor microenvironment of metastatic ovarian cancer by single-cell transcriptomics

Characterizing the tumor microenvironment of metastatic ovarian cancer by single-cell transcriptomics

RETRACTED ARTICLE: CYPA promotes the progression and metastasis of serous ovarian cancer (SOC) in vitro and in vivo

Multiomic Analysis of Subtype Evolution and Heterogeneity in High-Grade Serous Ovarian Carcinoma

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