Evaluation of the antitumor effect of neoantigen peptide vaccines derived from the translatome of lung cancer
Abstract Emerging evidence suggests that tumor-specific neoantigens are ideal targets for cancer immunotherapy. However, how to predict tumor neoantigens based on translatome data remains obscure. Through the extraction of ribosome-nascent chain complexes (RNCs) from LLC cells, followed by RNC-mRNA...
Ausführliche Beschreibung
Autor*in: |
Lian, Fenbao [verfasserIn] Yang, Haitao [verfasserIn] Hong, Rujun [verfasserIn] Xu, Hang [verfasserIn] Yu, Tingting [verfasserIn] Sun, Gang [verfasserIn] Zheng, Guanying [verfasserIn] Xie, Baosong [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2024 |
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Schlagwörter: |
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Anmerkung: |
© The Author(s) 2024 |
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Übergeordnetes Werk: |
Enthalten in: Cancer immunology immunotherapy - Springer Berlin Heidelberg, 1976, 73(2024), 7 vom: 14. Mai |
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Übergeordnetes Werk: |
volume:73 ; year:2024 ; number:7 ; day:14 ; month:05 |
Links: |
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DOI / URN: |
10.1007/s00262-024-03670-0 |
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Katalog-ID: |
SPR055843530 |
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520 | |a Abstract Emerging evidence suggests that tumor-specific neoantigens are ideal targets for cancer immunotherapy. However, how to predict tumor neoantigens based on translatome data remains obscure. Through the extraction of ribosome-nascent chain complexes (RNCs) from LLC cells, followed by RNC-mRNA extraction, RNC-mRNA sequencing, and comprehensive bioinformatic analysis, we successfully identified proteins undergoing translatome and exhibiting mutations in the cells. Subsequently, novel antigens identification was analyzed by the interaction between their high affinity and the Major Histocompatibility Complex (MHC). Neoantigens immunogenicity was analyzed by enzyme-linked immunospot assay (ELISpot). Finally, in vivo experiments in mice were conducted to evaluate the antitumor effects of translatome-derived neoantigen peptides on lung cancer. The results showed that ten neoantigen peptides were identified and synthesized by translatome data from LLC cells; 8 out of the 10 neoantigens had strong immunogenicity. The neoantigen peptide vaccine group exhibited significant tumor growth inhibition effect. In conclusion, neoantigen peptide vaccine derived from the translatome of lung cancer exhibited significant tumor growth inhibition effect. | ||
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10.1007/s00262-024-03670-0 doi (DE-627)SPR055843530 (SPR)s00262-024-03670-0-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ 44.81 bkl 44.45 bkl Lian, Fenbao verfasserin aut Evaluation of the antitumor effect of neoantigen peptide vaccines derived from the translatome of lung cancer 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Emerging evidence suggests that tumor-specific neoantigens are ideal targets for cancer immunotherapy. However, how to predict tumor neoantigens based on translatome data remains obscure. Through the extraction of ribosome-nascent chain complexes (RNCs) from LLC cells, followed by RNC-mRNA extraction, RNC-mRNA sequencing, and comprehensive bioinformatic analysis, we successfully identified proteins undergoing translatome and exhibiting mutations in the cells. Subsequently, novel antigens identification was analyzed by the interaction between their high affinity and the Major Histocompatibility Complex (MHC). Neoantigens immunogenicity was analyzed by enzyme-linked immunospot assay (ELISpot). Finally, in vivo experiments in mice were conducted to evaluate the antitumor effects of translatome-derived neoantigen peptides on lung cancer. The results showed that ten neoantigen peptides were identified and synthesized by translatome data from LLC cells; 8 out of the 10 neoantigens had strong immunogenicity. The neoantigen peptide vaccine group exhibited significant tumor growth inhibition effect. In conclusion, neoantigen peptide vaccine derived from the translatome of lung cancer exhibited significant tumor growth inhibition effect. Neoantigen (dpeaa)DE-He213 Translatome (dpeaa)DE-He213 Immunotherapy (dpeaa)DE-He213 Lung cancer (dpeaa)DE-He213 Peptides (dpeaa)DE-He213 Yang, Haitao verfasserin aut Hong, Rujun verfasserin aut Xu, Hang verfasserin aut Yu, Tingting verfasserin aut Sun, Gang verfasserin (orcid)0000-0002-7804-1967 aut Zheng, Guanying verfasserin (orcid)0000-0001-5584-5359 aut Xie, Baosong verfasserin (orcid)0000-0002-4948-0063 aut Enthalten in Cancer immunology immunotherapy Springer Berlin Heidelberg, 1976 73(2024), 7 vom: 14. Mai (DE-627)253390443 (DE-600)1458489-X 1432-0851 nnns volume:73 year:2024 number:7 day:14 month:05 https://dx.doi.org/10.1007/s00262-024-03670-0 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.81 VZ 44.45 VZ AR 73 2024 7 14 05 |
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10.1007/s00262-024-03670-0 doi (DE-627)SPR055843530 (SPR)s00262-024-03670-0-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ 44.81 bkl 44.45 bkl Lian, Fenbao verfasserin aut Evaluation of the antitumor effect of neoantigen peptide vaccines derived from the translatome of lung cancer 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Emerging evidence suggests that tumor-specific neoantigens are ideal targets for cancer immunotherapy. However, how to predict tumor neoantigens based on translatome data remains obscure. Through the extraction of ribosome-nascent chain complexes (RNCs) from LLC cells, followed by RNC-mRNA extraction, RNC-mRNA sequencing, and comprehensive bioinformatic analysis, we successfully identified proteins undergoing translatome and exhibiting mutations in the cells. Subsequently, novel antigens identification was analyzed by the interaction between their high affinity and the Major Histocompatibility Complex (MHC). Neoantigens immunogenicity was analyzed by enzyme-linked immunospot assay (ELISpot). Finally, in vivo experiments in mice were conducted to evaluate the antitumor effects of translatome-derived neoantigen peptides on lung cancer. The results showed that ten neoantigen peptides were identified and synthesized by translatome data from LLC cells; 8 out of the 10 neoantigens had strong immunogenicity. The neoantigen peptide vaccine group exhibited significant tumor growth inhibition effect. In conclusion, neoantigen peptide vaccine derived from the translatome of lung cancer exhibited significant tumor growth inhibition effect. Neoantigen (dpeaa)DE-He213 Translatome (dpeaa)DE-He213 Immunotherapy (dpeaa)DE-He213 Lung cancer (dpeaa)DE-He213 Peptides (dpeaa)DE-He213 Yang, Haitao verfasserin aut Hong, Rujun verfasserin aut Xu, Hang verfasserin aut Yu, Tingting verfasserin aut Sun, Gang verfasserin (orcid)0000-0002-7804-1967 aut Zheng, Guanying verfasserin (orcid)0000-0001-5584-5359 aut Xie, Baosong verfasserin (orcid)0000-0002-4948-0063 aut Enthalten in Cancer immunology immunotherapy Springer Berlin Heidelberg, 1976 73(2024), 7 vom: 14. Mai (DE-627)253390443 (DE-600)1458489-X 1432-0851 nnns volume:73 year:2024 number:7 day:14 month:05 https://dx.doi.org/10.1007/s00262-024-03670-0 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.81 VZ 44.45 VZ AR 73 2024 7 14 05 |
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10.1007/s00262-024-03670-0 doi (DE-627)SPR055843530 (SPR)s00262-024-03670-0-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ 44.81 bkl 44.45 bkl Lian, Fenbao verfasserin aut Evaluation of the antitumor effect of neoantigen peptide vaccines derived from the translatome of lung cancer 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Emerging evidence suggests that tumor-specific neoantigens are ideal targets for cancer immunotherapy. However, how to predict tumor neoantigens based on translatome data remains obscure. Through the extraction of ribosome-nascent chain complexes (RNCs) from LLC cells, followed by RNC-mRNA extraction, RNC-mRNA sequencing, and comprehensive bioinformatic analysis, we successfully identified proteins undergoing translatome and exhibiting mutations in the cells. Subsequently, novel antigens identification was analyzed by the interaction between their high affinity and the Major Histocompatibility Complex (MHC). Neoantigens immunogenicity was analyzed by enzyme-linked immunospot assay (ELISpot). Finally, in vivo experiments in mice were conducted to evaluate the antitumor effects of translatome-derived neoantigen peptides on lung cancer. The results showed that ten neoantigen peptides were identified and synthesized by translatome data from LLC cells; 8 out of the 10 neoantigens had strong immunogenicity. The neoantigen peptide vaccine group exhibited significant tumor growth inhibition effect. In conclusion, neoantigen peptide vaccine derived from the translatome of lung cancer exhibited significant tumor growth inhibition effect. Neoantigen (dpeaa)DE-He213 Translatome (dpeaa)DE-He213 Immunotherapy (dpeaa)DE-He213 Lung cancer (dpeaa)DE-He213 Peptides (dpeaa)DE-He213 Yang, Haitao verfasserin aut Hong, Rujun verfasserin aut Xu, Hang verfasserin aut Yu, Tingting verfasserin aut Sun, Gang verfasserin (orcid)0000-0002-7804-1967 aut Zheng, Guanying verfasserin (orcid)0000-0001-5584-5359 aut Xie, Baosong verfasserin (orcid)0000-0002-4948-0063 aut Enthalten in Cancer immunology immunotherapy Springer Berlin Heidelberg, 1976 73(2024), 7 vom: 14. Mai (DE-627)253390443 (DE-600)1458489-X 1432-0851 nnns volume:73 year:2024 number:7 day:14 month:05 https://dx.doi.org/10.1007/s00262-024-03670-0 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.81 VZ 44.45 VZ AR 73 2024 7 14 05 |
allfieldsGer |
10.1007/s00262-024-03670-0 doi (DE-627)SPR055843530 (SPR)s00262-024-03670-0-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ 44.81 bkl 44.45 bkl Lian, Fenbao verfasserin aut Evaluation of the antitumor effect of neoantigen peptide vaccines derived from the translatome of lung cancer 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract Emerging evidence suggests that tumor-specific neoantigens are ideal targets for cancer immunotherapy. However, how to predict tumor neoantigens based on translatome data remains obscure. Through the extraction of ribosome-nascent chain complexes (RNCs) from LLC cells, followed by RNC-mRNA extraction, RNC-mRNA sequencing, and comprehensive bioinformatic analysis, we successfully identified proteins undergoing translatome and exhibiting mutations in the cells. Subsequently, novel antigens identification was analyzed by the interaction between their high affinity and the Major Histocompatibility Complex (MHC). Neoantigens immunogenicity was analyzed by enzyme-linked immunospot assay (ELISpot). Finally, in vivo experiments in mice were conducted to evaluate the antitumor effects of translatome-derived neoantigen peptides on lung cancer. The results showed that ten neoantigen peptides were identified and synthesized by translatome data from LLC cells; 8 out of the 10 neoantigens had strong immunogenicity. The neoantigen peptide vaccine group exhibited significant tumor growth inhibition effect. In conclusion, neoantigen peptide vaccine derived from the translatome of lung cancer exhibited significant tumor growth inhibition effect. Neoantigen (dpeaa)DE-He213 Translatome (dpeaa)DE-He213 Immunotherapy (dpeaa)DE-He213 Lung cancer (dpeaa)DE-He213 Peptides (dpeaa)DE-He213 Yang, Haitao verfasserin aut Hong, Rujun verfasserin aut Xu, Hang verfasserin aut Yu, Tingting verfasserin aut Sun, Gang verfasserin (orcid)0000-0002-7804-1967 aut Zheng, Guanying verfasserin (orcid)0000-0001-5584-5359 aut Xie, Baosong verfasserin (orcid)0000-0002-4948-0063 aut Enthalten in Cancer immunology immunotherapy Springer Berlin Heidelberg, 1976 73(2024), 7 vom: 14. Mai (DE-627)253390443 (DE-600)1458489-X 1432-0851 nnns volume:73 year:2024 number:7 day:14 month:05 https://dx.doi.org/10.1007/s00262-024-03670-0 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2005 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 44.81 VZ 44.45 VZ AR 73 2024 7 14 05 |
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Lian, Fenbao |
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evaluation of the antitumor effect of neoantigen peptide vaccines derived from the translatome of lung cancer |
title_auth |
Evaluation of the antitumor effect of neoantigen peptide vaccines derived from the translatome of lung cancer |
abstract |
Abstract Emerging evidence suggests that tumor-specific neoantigens are ideal targets for cancer immunotherapy. However, how to predict tumor neoantigens based on translatome data remains obscure. Through the extraction of ribosome-nascent chain complexes (RNCs) from LLC cells, followed by RNC-mRNA extraction, RNC-mRNA sequencing, and comprehensive bioinformatic analysis, we successfully identified proteins undergoing translatome and exhibiting mutations in the cells. Subsequently, novel antigens identification was analyzed by the interaction between their high affinity and the Major Histocompatibility Complex (MHC). Neoantigens immunogenicity was analyzed by enzyme-linked immunospot assay (ELISpot). Finally, in vivo experiments in mice were conducted to evaluate the antitumor effects of translatome-derived neoantigen peptides on lung cancer. The results showed that ten neoantigen peptides were identified and synthesized by translatome data from LLC cells; 8 out of the 10 neoantigens had strong immunogenicity. The neoantigen peptide vaccine group exhibited significant tumor growth inhibition effect. In conclusion, neoantigen peptide vaccine derived from the translatome of lung cancer exhibited significant tumor growth inhibition effect. © The Author(s) 2024 |
abstractGer |
Abstract Emerging evidence suggests that tumor-specific neoantigens are ideal targets for cancer immunotherapy. However, how to predict tumor neoantigens based on translatome data remains obscure. Through the extraction of ribosome-nascent chain complexes (RNCs) from LLC cells, followed by RNC-mRNA extraction, RNC-mRNA sequencing, and comprehensive bioinformatic analysis, we successfully identified proteins undergoing translatome and exhibiting mutations in the cells. Subsequently, novel antigens identification was analyzed by the interaction between their high affinity and the Major Histocompatibility Complex (MHC). Neoantigens immunogenicity was analyzed by enzyme-linked immunospot assay (ELISpot). Finally, in vivo experiments in mice were conducted to evaluate the antitumor effects of translatome-derived neoantigen peptides on lung cancer. The results showed that ten neoantigen peptides were identified and synthesized by translatome data from LLC cells; 8 out of the 10 neoantigens had strong immunogenicity. The neoantigen peptide vaccine group exhibited significant tumor growth inhibition effect. In conclusion, neoantigen peptide vaccine derived from the translatome of lung cancer exhibited significant tumor growth inhibition effect. © The Author(s) 2024 |
abstract_unstemmed |
Abstract Emerging evidence suggests that tumor-specific neoantigens are ideal targets for cancer immunotherapy. However, how to predict tumor neoantigens based on translatome data remains obscure. Through the extraction of ribosome-nascent chain complexes (RNCs) from LLC cells, followed by RNC-mRNA extraction, RNC-mRNA sequencing, and comprehensive bioinformatic analysis, we successfully identified proteins undergoing translatome and exhibiting mutations in the cells. Subsequently, novel antigens identification was analyzed by the interaction between their high affinity and the Major Histocompatibility Complex (MHC). Neoantigens immunogenicity was analyzed by enzyme-linked immunospot assay (ELISpot). Finally, in vivo experiments in mice were conducted to evaluate the antitumor effects of translatome-derived neoantigen peptides on lung cancer. The results showed that ten neoantigen peptides were identified and synthesized by translatome data from LLC cells; 8 out of the 10 neoantigens had strong immunogenicity. The neoantigen peptide vaccine group exhibited significant tumor growth inhibition effect. In conclusion, neoantigen peptide vaccine derived from the translatome of lung cancer exhibited significant tumor growth inhibition effect. © The Author(s) 2024 |
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container_issue |
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title_short |
Evaluation of the antitumor effect of neoantigen peptide vaccines derived from the translatome of lung cancer |
url |
https://dx.doi.org/10.1007/s00262-024-03670-0 |
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author2 |
Yang, Haitao Hong, Rujun Xu, Hang Yu, Tingting Sun, Gang Zheng, Guanying Xie, Baosong |
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Yang, Haitao Hong, Rujun Xu, Hang Yu, Tingting Sun, Gang Zheng, Guanying Xie, Baosong |
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up_date |
2024-07-03T18:23:51.760Z |
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