Deciphering the heterogeneity of neutrophil cells within circulation and the lung cancer microenvironment pre- and post-operation
Neutrophils play a crucial role in the immune system within tumor microenvironment. At present, numerous studies have explored the changes of neutrophils’ automatic killing effect and cellular communication with other immune cells under pathological conditions through single-cell sequencing. However, there remains a lack of definite conclusion about the identification criteria of neutrophil subgroups. Here, we collected tumor and para-carcinoma tissues, pre- and postoperative blood from patients with non-small cell lung cancer (NSCLC), and performed single-cell RNA (scRNA) sequencing to evaluate the distribution of neutrophil subgroups. We have developed a computational method of over expression rate (OER) to evaluate the specificity of neutrophil subgroups, in order to target gene panels with potential clinical application value. In addition, OER was used to evaluate specificity of neutrophil subsets in healthy people and patients with various diseases to further validate the feasibility of this evaluation system. As a result, we found the specificity of Neu_ c1_ IL1B and Neu_ c2_ cxcr4 (low) in postoperative blood has increased, while that of IL-7R + neutrophils has decreased, indicating that these groups of cells possibly differentiated or migrated to other subgroups in the state of lung cancer. In addition, seven gene panels (Neu_c3_CST7, RSAD2_Neu, S100A2/Pabpc1_Neu, ISG15/Ifit3_Neu, CD74_Neu, PTGS2/Actg1_Neu, SPP1_Neu) were high specific in all the four NSCLC-associated samples, meaning that changes in the percentage of these cell populations would have a high degree of confidence in assessing changes of disease status. In conclusion, combined consideration of the distribution characteristics of neutrophil subgroups could help evaluate the diagnosis and prognosis of NSCLC. Graphical abstract • An evaluation system based on OER was developed to assess the specificity of neutrophil subgroups • Specificity of Neu_ c1_ IL1B, Neu_ c2_ cxcr4 (low) and IL-7R + neutrophils changed significantly between preoperative and postoperative blood • 7 gene panels were high specific in all the four NSCLC-associated samples, meaning a high degree of confidence in assessing changes of these subgroups in various disease status.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:40 |
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| Enthalten in: |
Cell biology and toxicology - 40(2024), 1 vom: 06. Feb. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Liu, Fangming [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| Themen: |
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| Anmerkungen: |
© The Author(s) 2024 |
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| doi: |
10.1007/s10565-024-09850-z |
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| funding: |
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| Förderinstitution / Projekttitel: |
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SPR054664071 |
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| 520 | |a Neutrophils play a crucial role in the immune system within tumor microenvironment. At present, numerous studies have explored the changes of neutrophils’ automatic killing effect and cellular communication with other immune cells under pathological conditions through single-cell sequencing. However, there remains a lack of definite conclusion about the identification criteria of neutrophil subgroups. Here, we collected tumor and para-carcinoma tissues, pre- and postoperative blood from patients with non-small cell lung cancer (NSCLC), and performed single-cell RNA (scRNA) sequencing to evaluate the distribution of neutrophil subgroups. We have developed a computational method of over expression rate (OER) to evaluate the specificity of neutrophil subgroups, in order to target gene panels with potential clinical application value. In addition, OER was used to evaluate specificity of neutrophil subsets in healthy people and patients with various diseases to further validate the feasibility of this evaluation system. As a result, we found the specificity of Neu_ c1_ IL1B and Neu_ c2_ cxcr4 (low) in postoperative blood has increased, while that of IL-7R + neutrophils has decreased, indicating that these groups of cells possibly differentiated or migrated to other subgroups in the state of lung cancer. In addition, seven gene panels (Neu_c3_CST7, RSAD2_Neu, S100A2/Pabpc1_Neu, ISG15/Ifit3_Neu, CD74_Neu, PTGS2/Actg1_Neu, SPP1_Neu) were high specific in all the four NSCLC-associated samples, meaning that changes in the percentage of these cell populations would have a high degree of confidence in assessing changes of disease status. In conclusion, combined consideration of the distribution characteristics of neutrophil subgroups could help evaluate the diagnosis and prognosis of NSCLC. Graphical abstract • An evaluation system based on OER was developed to assess the specificity of neutrophil subgroups • Specificity of Neu_ c1_ IL1B, Neu_ c2_ cxcr4 (low) and IL-7R + neutrophils changed significantly between preoperative and postoperative blood • 7 gene panels were high specific in all the four NSCLC-associated samples, meaning a high degree of confidence in assessing changes of these subgroups in various disease status | ||
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| 650 | 4 | |a Single-cell sequencing |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Liu, Xuanqi |4 aut | |
| 700 | 1 | |a Liu, Yifei |4 aut | |
| 700 | 1 | |a Chen, Dongsheng |4 aut | |
| 700 | 1 | |a Liu, Xiaoxia |4 aut | |
| 700 | 1 | |a Qin, Chuan |4 aut | |
| 700 | 1 | |a Song, Yuanlin |4 aut | |
| 700 | 1 | |a Fang, Hao |4 aut | |
| 700 | 1 | |a Wu, Duojiao |4 aut | |
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