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Identification of cervical cancer stem cells using single-cell transcriptomes of normal cervix, cervical premalignant lesions, and cervical cancer

BACKGROUND: Cervical cancer is the fourth leading cause of mortality among gynecological malignancies. However, the identification of cervical cancer stem cells remains unclear. METHODS: We performed single-cell mRNA sequencing on ∼122,400 cells from 20 cervical biopsies, including 5 healthy control...

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Autores principales: Zhang, Tao, Zhuang, Liang, Muaibati, Munawaer, Wang, Dan, Abasi, Abuduyilimu, Tong, Qing, Ma, Ding, Jin, Lei, Huang, Xiaoyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277926/
https://www.ncbi.nlm.nih.gov/pubmed/37224771
http://dx.doi.org/10.1016/j.ebiom.2023.104612
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author Zhang, Tao
Zhuang, Liang
Muaibati, Munawaer
Wang, Dan
Abasi, Abuduyilimu
Tong, Qing
Ma, Ding
Jin, Lei
Huang, Xiaoyuan
author_facet Zhang, Tao
Zhuang, Liang
Muaibati, Munawaer
Wang, Dan
Abasi, Abuduyilimu
Tong, Qing
Ma, Ding
Jin, Lei
Huang, Xiaoyuan
author_sort Zhang, Tao
collection PubMed
description BACKGROUND: Cervical cancer is the fourth leading cause of mortality among gynecological malignancies. However, the identification of cervical cancer stem cells remains unclear. METHODS: We performed single-cell mRNA sequencing on ∼122,400 cells from 20 cervical biopsies, including 5 healthy controls, 4 high-grade intraepithelial neoplasias, 5 microinvasive carcinomas of the cervix, and 6 invasive cervical squamous carcinomas. Bioinformatic results were validated by multiplex immunohistochemistry (mIHC) in cervical cancer tissue microarrays (TMA) (n = 85). FINDINGS: We identified cervical cancer stem cells and highlighted the functional changes in cervical stem cells during malignant transformation. The original non-malignant stem cell properties (characterized by high proliferation) gradually diminished, whereas the tumor stem cell properties (characterized by epithelial-mesenchymal transformation and invasion) were enhanced. The mIHC results of our TMA cohort confirmed the existence of stem-like cells and indicated that cluster correlated with neoplastic recurrence. Subsequently, we investigated malignant and immune cell heterogeneity in the cervical multicellular ecosystem across different disease stages. We observed global upregulation of interferon responses in the cervical microenvironment during lesion progression. INTERPRETATION: Our results provide more insights into cervical premalignant and malignant lesion microenvironments. FUNDING: This research was supported by the 10.13039/501100003453Guangdong Provincial Natural Science Foundation of China (2023A1515010382), Grant 2021YFC2700603 from the 10.13039/501100012166National Key Research & Development Program of China and the 10.13039/501100003819Hubei Provincial Natural Science Foundation of China (2022CFB174 and 2022CFB893).
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spelling pubmed-102779262023-06-20 Identification of cervical cancer stem cells using single-cell transcriptomes of normal cervix, cervical premalignant lesions, and cervical cancer Zhang, Tao Zhuang, Liang Muaibati, Munawaer Wang, Dan Abasi, Abuduyilimu Tong, Qing Ma, Ding Jin, Lei Huang, Xiaoyuan eBioMedicine Articles BACKGROUND: Cervical cancer is the fourth leading cause of mortality among gynecological malignancies. However, the identification of cervical cancer stem cells remains unclear. METHODS: We performed single-cell mRNA sequencing on ∼122,400 cells from 20 cervical biopsies, including 5 healthy controls, 4 high-grade intraepithelial neoplasias, 5 microinvasive carcinomas of the cervix, and 6 invasive cervical squamous carcinomas. Bioinformatic results were validated by multiplex immunohistochemistry (mIHC) in cervical cancer tissue microarrays (TMA) (n = 85). FINDINGS: We identified cervical cancer stem cells and highlighted the functional changes in cervical stem cells during malignant transformation. The original non-malignant stem cell properties (characterized by high proliferation) gradually diminished, whereas the tumor stem cell properties (characterized by epithelial-mesenchymal transformation and invasion) were enhanced. The mIHC results of our TMA cohort confirmed the existence of stem-like cells and indicated that cluster correlated with neoplastic recurrence. Subsequently, we investigated malignant and immune cell heterogeneity in the cervical multicellular ecosystem across different disease stages. We observed global upregulation of interferon responses in the cervical microenvironment during lesion progression. INTERPRETATION: Our results provide more insights into cervical premalignant and malignant lesion microenvironments. FUNDING: This research was supported by the 10.13039/501100003453Guangdong Provincial Natural Science Foundation of China (2023A1515010382), Grant 2021YFC2700603 from the 10.13039/501100012166National Key Research & Development Program of China and the 10.13039/501100003819Hubei Provincial Natural Science Foundation of China (2022CFB174 and 2022CFB893). Elsevier 2023-05-22 /pmc/articles/PMC10277926/ /pubmed/37224771 http://dx.doi.org/10.1016/j.ebiom.2023.104612 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Zhang, Tao
Zhuang, Liang
Muaibati, Munawaer
Wang, Dan
Abasi, Abuduyilimu
Tong, Qing
Ma, Ding
Jin, Lei
Huang, Xiaoyuan
Identification of cervical cancer stem cells using single-cell transcriptomes of normal cervix, cervical premalignant lesions, and cervical cancer
title Identification of cervical cancer stem cells using single-cell transcriptomes of normal cervix, cervical premalignant lesions, and cervical cancer
title_full Identification of cervical cancer stem cells using single-cell transcriptomes of normal cervix, cervical premalignant lesions, and cervical cancer
title_fullStr Identification of cervical cancer stem cells using single-cell transcriptomes of normal cervix, cervical premalignant lesions, and cervical cancer
title_full_unstemmed Identification of cervical cancer stem cells using single-cell transcriptomes of normal cervix, cervical premalignant lesions, and cervical cancer
title_short Identification of cervical cancer stem cells using single-cell transcriptomes of normal cervix, cervical premalignant lesions, and cervical cancer
title_sort identification of cervical cancer stem cells using single-cell transcriptomes of normal cervix, cervical premalignant lesions, and cervical cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277926/
https://www.ncbi.nlm.nih.gov/pubmed/37224771
http://dx.doi.org/10.1016/j.ebiom.2023.104612
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