Decoding Lung Cancer at Single-Cell Level
Lung cancer is the leading cause of cancer death due to its high degree of malignancy, rapid growth, and early metastasis. Recent studies have found that lung cancer has a high degree of heterogeneity which is characterized by the mixture of different tumor cell types. However, the driving genetic/e...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-05-01
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| Series: | Frontiers in Immunology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2022.883758/full |
| _version_ | 1818211645940301824 |
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| author | Xing-Xing Fan Qiang Wu |
| author_facet | Xing-Xing Fan Qiang Wu |
| author_sort | Xing-Xing Fan |
| collection | DOAJ |
| description | Lung cancer is the leading cause of cancer death due to its high degree of malignancy, rapid growth, and early metastasis. Recent studies have found that lung cancer has a high degree of heterogeneity which is characterized by the mixture of different tumor cell types. However, the driving genetic/epigenetic mechanism of lung cancer heterogeneity, how different types of cells interact, and the relationship between heterogeneity and drug resistance have been poorly understood. Single-cell technology can decompose high throughput sequencing information into each cell and provide single-cell information in high resolution. By using single-cell analysis, researchers can not only fully understand the molecular characteristics of different cell types in the same tissue, but also define completely new cell types. Thus, single-cell analysis has been widely utilized in systems biology, drug discovery, disease diagnosis and precision medicine. We review recent exploration of the mechanism of heterogeneity, tumor microenvironment and drug resistance in lung cancer by using single-cell analysis. We propose that the recent findings may pave new ways for the treatment strategies of lung cancer. |
| first_indexed | 2024-12-12T05:35:48Z |
| format | Article |
| id | doaj.art-4e8fec39b97149218a86291fd853191d |
| institution | Directory Open Access Journal |
| issn | 1664-3224 |
| language | English |
| last_indexed | 2024-12-12T05:35:48Z |
| publishDate | 2022-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Immunology |
| spelling | doaj.art-4e8fec39b97149218a86291fd853191d2022-12-22T00:36:08ZengFrontiers Media S.A.Frontiers in Immunology1664-32242022-05-011310.3389/fimmu.2022.883758883758Decoding Lung Cancer at Single-Cell LevelXing-Xing Fan0Qiang Wu1Dr. Neher’s Biophysics Laboratory for Innovative Drug Discovery, The State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, ChinaThe State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, ChinaLung cancer is the leading cause of cancer death due to its high degree of malignancy, rapid growth, and early metastasis. Recent studies have found that lung cancer has a high degree of heterogeneity which is characterized by the mixture of different tumor cell types. However, the driving genetic/epigenetic mechanism of lung cancer heterogeneity, how different types of cells interact, and the relationship between heterogeneity and drug resistance have been poorly understood. Single-cell technology can decompose high throughput sequencing information into each cell and provide single-cell information in high resolution. By using single-cell analysis, researchers can not only fully understand the molecular characteristics of different cell types in the same tissue, but also define completely new cell types. Thus, single-cell analysis has been widely utilized in systems biology, drug discovery, disease diagnosis and precision medicine. We review recent exploration of the mechanism of heterogeneity, tumor microenvironment and drug resistance in lung cancer by using single-cell analysis. We propose that the recent findings may pave new ways for the treatment strategies of lung cancer.https://www.frontiersin.org/articles/10.3389/fimmu.2022.883758/fulllung cancersingle-cell analysisscRNA-seqtumor microenvironmentdrug resistance |
| spellingShingle | Xing-Xing Fan Qiang Wu Decoding Lung Cancer at Single-Cell Level Frontiers in Immunology lung cancer single-cell analysis scRNA-seq tumor microenvironment drug resistance |
| title | Decoding Lung Cancer at Single-Cell Level |
| title_full | Decoding Lung Cancer at Single-Cell Level |
| title_fullStr | Decoding Lung Cancer at Single-Cell Level |
| title_full_unstemmed | Decoding Lung Cancer at Single-Cell Level |
| title_short | Decoding Lung Cancer at Single-Cell Level |
| title_sort | decoding lung cancer at single cell level |
| topic | lung cancer single-cell analysis scRNA-seq tumor microenvironment drug resistance |
| url | https://www.frontiersin.org/articles/10.3389/fimmu.2022.883758/full |
| work_keys_str_mv | AT xingxingfan decodinglungcanceratsinglecelllevel AT qiangwu decodinglungcanceratsinglecelllevel |