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1000 Titel
  • Spatial transcriptomics delineates molecular features and cellular plasticity in lung adenocarcinoma progression
1000 Autor/in
  1. Wang, Yan |
  2. Liu, Bing |
  3. Min, Qingjie |
  4. Yang, Xin |
  5. Yan, Shi |
  6. Ma, Yuanyuan |
  7. Li, Shaolei |
  8. Fan, Jiawen |
  9. Wang, Yaqi |
  10. Dong, Bin |
  11. Teng, Huajing |
  12. Lin, Dongmei |
  13. zhan, Qi-Min |
  14. Wu, Nan |
1000 Erscheinungsjahr 2023
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-09-19
1000 Erschienen in
1000 Quellenangabe
  • 9(1):96
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/s41421-023-00591-7 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507052/ |
1000 Ergänzendes Material
  • https://www.nature.com/articles/s41421-023-00591-7#Sec31 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Indolent (lepidic) and aggressive (micropapillary, solid, and poorly differentiated acinar) histologic subtypes often coexist within a tumor tissue of lung adenocarcinoma (LUAD), but the molecular features associated with different subtypes and their transitions remain elusive. Here, we combine spatial transcriptomics and multiplex immunohistochemistry to elucidate molecular characteristics and cellular plasticity of distinct histologic subtypes of LUAD. We delineate transcriptional reprogramming and dynamic cell signaling that determine subtype progression, especially hypoxia-induced regulatory network. Different histologic subtypes exhibit heterogeneity in dedifferentiation states. Additionally, our results show that macrophages are the most abundant cell type in LUAD, and identify different tumor-associated macrophage subpopulations that are unique to each histologic subtype, which might contribute to an immunosuppressive microenvironment. Our results provide a systematic landscape of molecular profiles that drive LUAD subtype progression, and demonstrate potentially novel therapeutic strategies and targets for invasive lung adenocarcinoma.
1000 Sacherschließung
lokal Non-small-cell lung cancer
lokal Cancer genomics
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/V2FuZywgWWFu|https://frl.publisso.de/adhoc/uri/TGl1LCBCaW5nIA==|https://frl.publisso.de/adhoc/uri/TWluLCBRaW5namll|https://frl.publisso.de/adhoc/uri/WWFuZywgWGlu|https://frl.publisso.de/adhoc/uri/WWFuLCBTaGk=|https://frl.publisso.de/adhoc/uri/TWEsIFl1YW55dWFu|https://frl.publisso.de/adhoc/uri/TGksIFNoYW9sZWk=|https://frl.publisso.de/adhoc/uri/RmFuLCBKaWF3ZW4=|https://frl.publisso.de/adhoc/uri/V2FuZywgWWFxaQ==|https://frl.publisso.de/adhoc/uri/RG9uZywgQmlu|https://orcid.org/0000-0001-9952-3618|https://frl.publisso.de/adhoc/uri/TGluLCBEb25nbWVp|https://orcid.org/0000-0002-1731-938X|https://frl.publisso.de/adhoc/uri/V3UsIE5hbg==
1000 Label
1000 Förderer
  1. National Natural Science Foundation of China |
  2. National Key Research and Development Program of China |
  3. Beijing Municipal Natural Science Foundation |
  4. Capital Health Research and Development of Special Funds |
  5. Beijing Municipal Administration of Hospital’s Ascent Plan |
  6. CAMS Innovation Fund for Medical Sciences |
  7. Basic and Applied Basic Research Foundation of Guangdong Province |
  8. Science Foundation of Peking University Cancer Hospital |
  9. Suzhou Top-Notch Talent Groups |
  10. National Institute of Health Data Science of Peking University |
1000 Fördernummer
  1. 81988101;81972842;81830086
  2. 2018YFC0910700
  3. 7192036
  4. 2020-2-2154
  5. DFL20191101
  6. 2019-I2M-5-081
  7. 2019B030302012
  8. 2022-28
  9. ZXD2022003
  10. -
1000 Förderprogramm
  1. -
  2. -
  3. -
  4. -
  5. -
  6. -
  7. -
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1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer National Natural Science Foundation of China |
    1000 Förderprogramm -
    1000 Fördernummer 81988101;81972842;81830086
  2. 1000 joinedFunding-child
    1000 Förderer National Key Research and Development Program of China |
    1000 Förderprogramm -
    1000 Fördernummer 2018YFC0910700
  3. 1000 joinedFunding-child
    1000 Förderer Beijing Municipal Natural Science Foundation |
    1000 Förderprogramm -
    1000 Fördernummer 7192036
  4. 1000 joinedFunding-child
    1000 Förderer Capital Health Research and Development of Special Funds |
    1000 Förderprogramm -
    1000 Fördernummer 2020-2-2154
  5. 1000 joinedFunding-child
    1000 Förderer Beijing Municipal Administration of Hospital’s Ascent Plan |
    1000 Förderprogramm -
    1000 Fördernummer DFL20191101
  6. 1000 joinedFunding-child
    1000 Förderer CAMS Innovation Fund for Medical Sciences |
    1000 Förderprogramm -
    1000 Fördernummer 2019-I2M-5-081
  7. 1000 joinedFunding-child
    1000 Förderer Basic and Applied Basic Research Foundation of Guangdong Province |
    1000 Förderprogramm -
    1000 Fördernummer 2019B030302012
  8. 1000 joinedFunding-child
    1000 Förderer Science Foundation of Peking University Cancer Hospital |
    1000 Förderprogramm -
    1000 Fördernummer 2022-28
  9. 1000 joinedFunding-child
    1000 Förderer Suzhou Top-Notch Talent Groups |
    1000 Förderprogramm -
    1000 Fördernummer ZXD2022003
  10. 1000 joinedFunding-child
    1000 Förderer National Institute of Health Data Science of Peking University |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6462193.rdf
1000 Erstellt am 2023-10-26T10:58:17.428+0200
1000 Erstellt von 284
1000 beschreibt frl:6462193
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet Mon Oct 30 12:04:33 CET 2023
1000 Objekt bearb. Mon Oct 30 12:04:20 CET 2023
1000 Vgl. frl:6462193
1000 Oai Id
  1. oai:frl.publisso.de:frl:6462193 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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