287 Genomic and Immunologic Characterization of Lung Adenocarcinoma in Never Smokers vs. Smokers

OBJECTIVES/GOALS: Smoking is a well-established risk factor for lung cancer, but never smokers account for up to 25% of lung cancer cases. There is mounting evidence that lung cancer in never smokers is biologically distinct. We aim to characterize the genomic and immunologic features of lung adenocarcinoma in never smokers versus smokers. METHODS/STUDY POPULATION: We examined clinical, genomic, and bulk-RNA sequencing data from 499 patients in the TCGA lung adenocarcinoma cohort. Tumor mutation burden was analyzed using maftools (R package). Tumor immune characterization was completed using CIBERSORTx, a digital cytometry tool that uses single cell reference profiles to determine immune cell type frequencies from bulk-RNA sequencing data. Single cell reference profiles for 19 different immune cell types were constructed from sequencing of freshly resected lung tumor tissue from UCSF patients. Partitioning Around Medoids (PAM; R package) was used to identify distinct immune phenotypes based on immune cell composition. Fisher’s exact test was used to evaluate for associations between immune phenotypes and smoking status. RESULTS/ANTICIPATED RESULTS: Of the 499 TCGA lung adenocarcinoma patients, 75 were never smokers, 269 were female, and 246 were over the age of 65. Never smokers had lower tumor mutation burden and lower predicted neoantigen burden compared to smokers (p < 0.001). There was no difference in total tumor immune cell infiltration between never smokers and smokers. PAM yielded 2 distinct clusters/immune phenotypes. The first was enriched in M1 Macrophages, cytotoxic T Cells, helper T Cells, regulatory T Cells, and Plasma Cells. The second was enriched in plasmacytoid Dendritic Cells, M2 Macrophages, and exhausted cytotoxic T Cells. Never smoking status was associated with an increased odds of having the first immune phenotype (OR 1.95, 95% CI: 1.15 - 3.35) and this association was statistically significant (p = 0.0086). DISCUSSION/SIGNIFICANCE: Our findings suggest that never smokers have an immune phenotype that is distinct from that observed in smokers. The distinct immune characteristics we observed could explain clinical trial data suggesting immune checkpoint inhibitors are less effective in never smokers and hold implications for tailoring therapy. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	P. Jonathan Li [verfasserIn] Jessica Tsui [verfasserIn] Vivianne W. Ding [verfasserIn] Alexis J. Combes [verfasserIn] Matthew F. Krummel [verfasserIn] David M. Jablons [verfasserIn] Johannes R. Kratz [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Übergeordnetes Werk:	In: Journal of Clinical and Translational Science - Cambridge University Press, 2019, 7(2023), Seite 86-86
Übergeordnetes Werk:	volume:7 ; year:2023 ; pages:86-86

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1017/cts.2023.343

Katalog-ID:	DOAJ089477316

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allfields	10.1017/cts.2023.343 doi (DE-627)DOAJ089477316 (DE-599)DOAJ49bee2f83b1c471abfe2a248884b1ec3 DE-627 ger DE-627 rakwb eng P. Jonathan Li verfasserin aut 287 Genomic and Immunologic Characterization of Lung Adenocarcinoma in Never Smokers vs. Smokers 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OBJECTIVES/GOALS: Smoking is a well-established risk factor for lung cancer, but never smokers account for up to 25% of lung cancer cases. There is mounting evidence that lung cancer in never smokers is biologically distinct. We aim to characterize the genomic and immunologic features of lung adenocarcinoma in never smokers versus smokers. METHODS/STUDY POPULATION: We examined clinical, genomic, and bulk-RNA sequencing data from 499 patients in the TCGA lung adenocarcinoma cohort. Tumor mutation burden was analyzed using maftools (R package). Tumor immune characterization was completed using CIBERSORTx, a digital cytometry tool that uses single cell reference profiles to determine immune cell type frequencies from bulk-RNA sequencing data. Single cell reference profiles for 19 different immune cell types were constructed from sequencing of freshly resected lung tumor tissue from UCSF patients. Partitioning Around Medoids (PAM; R package) was used to identify distinct immune phenotypes based on immune cell composition. Fisher’s exact test was used to evaluate for associations between immune phenotypes and smoking status. RESULTS/ANTICIPATED RESULTS: Of the 499 TCGA lung adenocarcinoma patients, 75 were never smokers, 269 were female, and 246 were over the age of 65. Never smokers had lower tumor mutation burden and lower predicted neoantigen burden compared to smokers (p < 0.001). There was no difference in total tumor immune cell infiltration between never smokers and smokers. PAM yielded 2 distinct clusters/immune phenotypes. The first was enriched in M1 Macrophages, cytotoxic T Cells, helper T Cells, regulatory T Cells, and Plasma Cells. The second was enriched in plasmacytoid Dendritic Cells, M2 Macrophages, and exhausted cytotoxic T Cells. Never smoking status was associated with an increased odds of having the first immune phenotype (OR 1.95, 95% CI: 1.15 - 3.35) and this association was statistically significant (p = 0.0086). DISCUSSION/SIGNIFICANCE: Our findings suggest that never smokers have an immune phenotype that is distinct from that observed in smokers. The distinct immune characteristics we observed could explain clinical trial data suggesting immune checkpoint inhibitors are less effective in never smokers and hold implications for tailoring therapy. Medicine R Jessica Tsui verfasserin aut Vivianne W. Ding verfasserin aut Alexis J. Combes verfasserin aut Matthew F. Krummel verfasserin aut David M. Jablons verfasserin aut Johannes R. Kratz verfasserin aut In Journal of Clinical and Translational Science Cambridge University Press, 2019 7(2023), Seite 86-86 (DE-627)891016082 (DE-600)2898186-8 20598661 nnns volume:7 year:2023 pages:86-86 https://doi.org/10.1017/cts.2023.343 kostenfrei https://doaj.org/article/49bee2f83b1c471abfe2a248884b1ec3 kostenfrei https://www.cambridge.org/core/product/identifier/S2059866123003436/type/journal_article kostenfrei https://doaj.org/toc/2059-8661 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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 AR 7 2023 86-86
spelling	10.1017/cts.2023.343 doi (DE-627)DOAJ089477316 (DE-599)DOAJ49bee2f83b1c471abfe2a248884b1ec3 DE-627 ger DE-627 rakwb eng P. Jonathan Li verfasserin aut 287 Genomic and Immunologic Characterization of Lung Adenocarcinoma in Never Smokers vs. Smokers 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OBJECTIVES/GOALS: Smoking is a well-established risk factor for lung cancer, but never smokers account for up to 25% of lung cancer cases. There is mounting evidence that lung cancer in never smokers is biologically distinct. We aim to characterize the genomic and immunologic features of lung adenocarcinoma in never smokers versus smokers. METHODS/STUDY POPULATION: We examined clinical, genomic, and bulk-RNA sequencing data from 499 patients in the TCGA lung adenocarcinoma cohort. Tumor mutation burden was analyzed using maftools (R package). Tumor immune characterization was completed using CIBERSORTx, a digital cytometry tool that uses single cell reference profiles to determine immune cell type frequencies from bulk-RNA sequencing data. Single cell reference profiles for 19 different immune cell types were constructed from sequencing of freshly resected lung tumor tissue from UCSF patients. Partitioning Around Medoids (PAM; R package) was used to identify distinct immune phenotypes based on immune cell composition. Fisher’s exact test was used to evaluate for associations between immune phenotypes and smoking status. RESULTS/ANTICIPATED RESULTS: Of the 499 TCGA lung adenocarcinoma patients, 75 were never smokers, 269 were female, and 246 were over the age of 65. Never smokers had lower tumor mutation burden and lower predicted neoantigen burden compared to smokers (p < 0.001). There was no difference in total tumor immune cell infiltration between never smokers and smokers. PAM yielded 2 distinct clusters/immune phenotypes. The first was enriched in M1 Macrophages, cytotoxic T Cells, helper T Cells, regulatory T Cells, and Plasma Cells. The second was enriched in plasmacytoid Dendritic Cells, M2 Macrophages, and exhausted cytotoxic T Cells. Never smoking status was associated with an increased odds of having the first immune phenotype (OR 1.95, 95% CI: 1.15 - 3.35) and this association was statistically significant (p = 0.0086). DISCUSSION/SIGNIFICANCE: Our findings suggest that never smokers have an immune phenotype that is distinct from that observed in smokers. The distinct immune characteristics we observed could explain clinical trial data suggesting immune checkpoint inhibitors are less effective in never smokers and hold implications for tailoring therapy. Medicine R Jessica Tsui verfasserin aut Vivianne W. Ding verfasserin aut Alexis J. Combes verfasserin aut Matthew F. Krummel verfasserin aut David M. Jablons verfasserin aut Johannes R. Kratz verfasserin aut In Journal of Clinical and Translational Science Cambridge University Press, 2019 7(2023), Seite 86-86 (DE-627)891016082 (DE-600)2898186-8 20598661 nnns volume:7 year:2023 pages:86-86 https://doi.org/10.1017/cts.2023.343 kostenfrei https://doaj.org/article/49bee2f83b1c471abfe2a248884b1ec3 kostenfrei https://www.cambridge.org/core/product/identifier/S2059866123003436/type/journal_article kostenfrei https://doaj.org/toc/2059-8661 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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 AR 7 2023 86-86
allfields_unstemmed	10.1017/cts.2023.343 doi (DE-627)DOAJ089477316 (DE-599)DOAJ49bee2f83b1c471abfe2a248884b1ec3 DE-627 ger DE-627 rakwb eng P. Jonathan Li verfasserin aut 287 Genomic and Immunologic Characterization of Lung Adenocarcinoma in Never Smokers vs. Smokers 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OBJECTIVES/GOALS: Smoking is a well-established risk factor for lung cancer, but never smokers account for up to 25% of lung cancer cases. There is mounting evidence that lung cancer in never smokers is biologically distinct. We aim to characterize the genomic and immunologic features of lung adenocarcinoma in never smokers versus smokers. METHODS/STUDY POPULATION: We examined clinical, genomic, and bulk-RNA sequencing data from 499 patients in the TCGA lung adenocarcinoma cohort. Tumor mutation burden was analyzed using maftools (R package). Tumor immune characterization was completed using CIBERSORTx, a digital cytometry tool that uses single cell reference profiles to determine immune cell type frequencies from bulk-RNA sequencing data. Single cell reference profiles for 19 different immune cell types were constructed from sequencing of freshly resected lung tumor tissue from UCSF patients. Partitioning Around Medoids (PAM; R package) was used to identify distinct immune phenotypes based on immune cell composition. Fisher’s exact test was used to evaluate for associations between immune phenotypes and smoking status. RESULTS/ANTICIPATED RESULTS: Of the 499 TCGA lung adenocarcinoma patients, 75 were never smokers, 269 were female, and 246 were over the age of 65. Never smokers had lower tumor mutation burden and lower predicted neoantigen burden compared to smokers (p < 0.001). There was no difference in total tumor immune cell infiltration between never smokers and smokers. PAM yielded 2 distinct clusters/immune phenotypes. The first was enriched in M1 Macrophages, cytotoxic T Cells, helper T Cells, regulatory T Cells, and Plasma Cells. The second was enriched in plasmacytoid Dendritic Cells, M2 Macrophages, and exhausted cytotoxic T Cells. Never smoking status was associated with an increased odds of having the first immune phenotype (OR 1.95, 95% CI: 1.15 - 3.35) and this association was statistically significant (p = 0.0086). DISCUSSION/SIGNIFICANCE: Our findings suggest that never smokers have an immune phenotype that is distinct from that observed in smokers. The distinct immune characteristics we observed could explain clinical trial data suggesting immune checkpoint inhibitors are less effective in never smokers and hold implications for tailoring therapy. Medicine R Jessica Tsui verfasserin aut Vivianne W. Ding verfasserin aut Alexis J. Combes verfasserin aut Matthew F. Krummel verfasserin aut David M. Jablons verfasserin aut Johannes R. Kratz verfasserin aut In Journal of Clinical and Translational Science Cambridge University Press, 2019 7(2023), Seite 86-86 (DE-627)891016082 (DE-600)2898186-8 20598661 nnns volume:7 year:2023 pages:86-86 https://doi.org/10.1017/cts.2023.343 kostenfrei https://doaj.org/article/49bee2f83b1c471abfe2a248884b1ec3 kostenfrei https://www.cambridge.org/core/product/identifier/S2059866123003436/type/journal_article kostenfrei https://doaj.org/toc/2059-8661 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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 AR 7 2023 86-86
allfieldsGer	10.1017/cts.2023.343 doi (DE-627)DOAJ089477316 (DE-599)DOAJ49bee2f83b1c471abfe2a248884b1ec3 DE-627 ger DE-627 rakwb eng P. Jonathan Li verfasserin aut 287 Genomic and Immunologic Characterization of Lung Adenocarcinoma in Never Smokers vs. Smokers 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OBJECTIVES/GOALS: Smoking is a well-established risk factor for lung cancer, but never smokers account for up to 25% of lung cancer cases. There is mounting evidence that lung cancer in never smokers is biologically distinct. We aim to characterize the genomic and immunologic features of lung adenocarcinoma in never smokers versus smokers. METHODS/STUDY POPULATION: We examined clinical, genomic, and bulk-RNA sequencing data from 499 patients in the TCGA lung adenocarcinoma cohort. Tumor mutation burden was analyzed using maftools (R package). Tumor immune characterization was completed using CIBERSORTx, a digital cytometry tool that uses single cell reference profiles to determine immune cell type frequencies from bulk-RNA sequencing data. Single cell reference profiles for 19 different immune cell types were constructed from sequencing of freshly resected lung tumor tissue from UCSF patients. Partitioning Around Medoids (PAM; R package) was used to identify distinct immune phenotypes based on immune cell composition. Fisher’s exact test was used to evaluate for associations between immune phenotypes and smoking status. RESULTS/ANTICIPATED RESULTS: Of the 499 TCGA lung adenocarcinoma patients, 75 were never smokers, 269 were female, and 246 were over the age of 65. Never smokers had lower tumor mutation burden and lower predicted neoantigen burden compared to smokers (p < 0.001). There was no difference in total tumor immune cell infiltration between never smokers and smokers. PAM yielded 2 distinct clusters/immune phenotypes. The first was enriched in M1 Macrophages, cytotoxic T Cells, helper T Cells, regulatory T Cells, and Plasma Cells. The second was enriched in plasmacytoid Dendritic Cells, M2 Macrophages, and exhausted cytotoxic T Cells. Never smoking status was associated with an increased odds of having the first immune phenotype (OR 1.95, 95% CI: 1.15 - 3.35) and this association was statistically significant (p = 0.0086). DISCUSSION/SIGNIFICANCE: Our findings suggest that never smokers have an immune phenotype that is distinct from that observed in smokers. The distinct immune characteristics we observed could explain clinical trial data suggesting immune checkpoint inhibitors are less effective in never smokers and hold implications for tailoring therapy. Medicine R Jessica Tsui verfasserin aut Vivianne W. Ding verfasserin aut Alexis J. Combes verfasserin aut Matthew F. Krummel verfasserin aut David M. Jablons verfasserin aut Johannes R. Kratz verfasserin aut In Journal of Clinical and Translational Science Cambridge University Press, 2019 7(2023), Seite 86-86 (DE-627)891016082 (DE-600)2898186-8 20598661 nnns volume:7 year:2023 pages:86-86 https://doi.org/10.1017/cts.2023.343 kostenfrei https://doaj.org/article/49bee2f83b1c471abfe2a248884b1ec3 kostenfrei https://www.cambridge.org/core/product/identifier/S2059866123003436/type/journal_article kostenfrei https://doaj.org/toc/2059-8661 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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 AR 7 2023 86-86
allfieldsSound	10.1017/cts.2023.343 doi (DE-627)DOAJ089477316 (DE-599)DOAJ49bee2f83b1c471abfe2a248884b1ec3 DE-627 ger DE-627 rakwb eng P. Jonathan Li verfasserin aut 287 Genomic and Immunologic Characterization of Lung Adenocarcinoma in Never Smokers vs. Smokers 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier OBJECTIVES/GOALS: Smoking is a well-established risk factor for lung cancer, but never smokers account for up to 25% of lung cancer cases. There is mounting evidence that lung cancer in never smokers is biologically distinct. We aim to characterize the genomic and immunologic features of lung adenocarcinoma in never smokers versus smokers. METHODS/STUDY POPULATION: We examined clinical, genomic, and bulk-RNA sequencing data from 499 patients in the TCGA lung adenocarcinoma cohort. Tumor mutation burden was analyzed using maftools (R package). Tumor immune characterization was completed using CIBERSORTx, a digital cytometry tool that uses single cell reference profiles to determine immune cell type frequencies from bulk-RNA sequencing data. Single cell reference profiles for 19 different immune cell types were constructed from sequencing of freshly resected lung tumor tissue from UCSF patients. Partitioning Around Medoids (PAM; R package) was used to identify distinct immune phenotypes based on immune cell composition. Fisher’s exact test was used to evaluate for associations between immune phenotypes and smoking status. RESULTS/ANTICIPATED RESULTS: Of the 499 TCGA lung adenocarcinoma patients, 75 were never smokers, 269 were female, and 246 were over the age of 65. Never smokers had lower tumor mutation burden and lower predicted neoantigen burden compared to smokers (p < 0.001). There was no difference in total tumor immune cell infiltration between never smokers and smokers. PAM yielded 2 distinct clusters/immune phenotypes. The first was enriched in M1 Macrophages, cytotoxic T Cells, helper T Cells, regulatory T Cells, and Plasma Cells. The second was enriched in plasmacytoid Dendritic Cells, M2 Macrophages, and exhausted cytotoxic T Cells. Never smoking status was associated with an increased odds of having the first immune phenotype (OR 1.95, 95% CI: 1.15 - 3.35) and this association was statistically significant (p = 0.0086). DISCUSSION/SIGNIFICANCE: Our findings suggest that never smokers have an immune phenotype that is distinct from that observed in smokers. The distinct immune characteristics we observed could explain clinical trial data suggesting immune checkpoint inhibitors are less effective in never smokers and hold implications for tailoring therapy. Medicine R Jessica Tsui verfasserin aut Vivianne W. Ding verfasserin aut Alexis J. Combes verfasserin aut Matthew F. Krummel verfasserin aut David M. Jablons verfasserin aut Johannes R. Kratz verfasserin aut In Journal of Clinical and Translational Science Cambridge University Press, 2019 7(2023), Seite 86-86 (DE-627)891016082 (DE-600)2898186-8 20598661 nnns volume:7 year:2023 pages:86-86 https://doi.org/10.1017/cts.2023.343 kostenfrei https://doaj.org/article/49bee2f83b1c471abfe2a248884b1ec3 kostenfrei https://www.cambridge.org/core/product/identifier/S2059866123003436/type/journal_article kostenfrei https://doaj.org/toc/2059-8661 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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 AR 7 2023 86-86
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authorswithroles_txt_mv	P. Jonathan Li @@aut@@ Jessica Tsui @@aut@@ Vivianne W. Ding @@aut@@ Alexis J. Combes @@aut@@ Matthew F. Krummel @@aut@@ David M. Jablons @@aut@@ Johannes R. Kratz @@aut@@
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author	P. Jonathan Li
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topic_title	287 Genomic and Immunologic Characterization of Lung Adenocarcinoma in Never Smokers vs. Smokers
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title	287 Genomic and Immunologic Characterization of Lung Adenocarcinoma in Never Smokers vs. Smokers
ctrlnum	(DE-627)DOAJ089477316 (DE-599)DOAJ49bee2f83b1c471abfe2a248884b1ec3
title_full	287 Genomic and Immunologic Characterization of Lung Adenocarcinoma in Never Smokers vs. Smokers
author_sort	P. Jonathan Li
journal	Journal of Clinical and Translational Science
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author_browse	P. Jonathan Li Jessica Tsui Vivianne W. Ding Alexis J. Combes Matthew F. Krummel David M. Jablons Johannes R. Kratz
container_volume	7
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author-letter	P. Jonathan Li
doi_str_mv	10.1017/cts.2023.343
author2-role	verfasserin
title_sort	287 genomic and immunologic characterization of lung adenocarcinoma in never smokers vs. smokers
title_auth	287 Genomic and Immunologic Characterization of Lung Adenocarcinoma in Never Smokers vs. Smokers
abstract	OBJECTIVES/GOALS: Smoking is a well-established risk factor for lung cancer, but never smokers account for up to 25% of lung cancer cases. There is mounting evidence that lung cancer in never smokers is biologically distinct. We aim to characterize the genomic and immunologic features of lung adenocarcinoma in never smokers versus smokers. METHODS/STUDY POPULATION: We examined clinical, genomic, and bulk-RNA sequencing data from 499 patients in the TCGA lung adenocarcinoma cohort. Tumor mutation burden was analyzed using maftools (R package). Tumor immune characterization was completed using CIBERSORTx, a digital cytometry tool that uses single cell reference profiles to determine immune cell type frequencies from bulk-RNA sequencing data. Single cell reference profiles for 19 different immune cell types were constructed from sequencing of freshly resected lung tumor tissue from UCSF patients. Partitioning Around Medoids (PAM; R package) was used to identify distinct immune phenotypes based on immune cell composition. Fisher’s exact test was used to evaluate for associations between immune phenotypes and smoking status. RESULTS/ANTICIPATED RESULTS: Of the 499 TCGA lung adenocarcinoma patients, 75 were never smokers, 269 were female, and 246 were over the age of 65. Never smokers had lower tumor mutation burden and lower predicted neoantigen burden compared to smokers (p < 0.001). There was no difference in total tumor immune cell infiltration between never smokers and smokers. PAM yielded 2 distinct clusters/immune phenotypes. The first was enriched in M1 Macrophages, cytotoxic T Cells, helper T Cells, regulatory T Cells, and Plasma Cells. The second was enriched in plasmacytoid Dendritic Cells, M2 Macrophages, and exhausted cytotoxic T Cells. Never smoking status was associated with an increased odds of having the first immune phenotype (OR 1.95, 95% CI: 1.15 - 3.35) and this association was statistically significant (p = 0.0086). DISCUSSION/SIGNIFICANCE: Our findings suggest that never smokers have an immune phenotype that is distinct from that observed in smokers. The distinct immune characteristics we observed could explain clinical trial data suggesting immune checkpoint inhibitors are less effective in never smokers and hold implications for tailoring therapy.
abstractGer	OBJECTIVES/GOALS: Smoking is a well-established risk factor for lung cancer, but never smokers account for up to 25% of lung cancer cases. There is mounting evidence that lung cancer in never smokers is biologically distinct. We aim to characterize the genomic and immunologic features of lung adenocarcinoma in never smokers versus smokers. METHODS/STUDY POPULATION: We examined clinical, genomic, and bulk-RNA sequencing data from 499 patients in the TCGA lung adenocarcinoma cohort. Tumor mutation burden was analyzed using maftools (R package). Tumor immune characterization was completed using CIBERSORTx, a digital cytometry tool that uses single cell reference profiles to determine immune cell type frequencies from bulk-RNA sequencing data. Single cell reference profiles for 19 different immune cell types were constructed from sequencing of freshly resected lung tumor tissue from UCSF patients. Partitioning Around Medoids (PAM; R package) was used to identify distinct immune phenotypes based on immune cell composition. Fisher’s exact test was used to evaluate for associations between immune phenotypes and smoking status. RESULTS/ANTICIPATED RESULTS: Of the 499 TCGA lung adenocarcinoma patients, 75 were never smokers, 269 were female, and 246 were over the age of 65. Never smokers had lower tumor mutation burden and lower predicted neoantigen burden compared to smokers (p < 0.001). There was no difference in total tumor immune cell infiltration between never smokers and smokers. PAM yielded 2 distinct clusters/immune phenotypes. The first was enriched in M1 Macrophages, cytotoxic T Cells, helper T Cells, regulatory T Cells, and Plasma Cells. The second was enriched in plasmacytoid Dendritic Cells, M2 Macrophages, and exhausted cytotoxic T Cells. Never smoking status was associated with an increased odds of having the first immune phenotype (OR 1.95, 95% CI: 1.15 - 3.35) and this association was statistically significant (p = 0.0086). DISCUSSION/SIGNIFICANCE: Our findings suggest that never smokers have an immune phenotype that is distinct from that observed in smokers. The distinct immune characteristics we observed could explain clinical trial data suggesting immune checkpoint inhibitors are less effective in never smokers and hold implications for tailoring therapy.
abstract_unstemmed	OBJECTIVES/GOALS: Smoking is a well-established risk factor for lung cancer, but never smokers account for up to 25% of lung cancer cases. There is mounting evidence that lung cancer in never smokers is biologically distinct. We aim to characterize the genomic and immunologic features of lung adenocarcinoma in never smokers versus smokers. METHODS/STUDY POPULATION: We examined clinical, genomic, and bulk-RNA sequencing data from 499 patients in the TCGA lung adenocarcinoma cohort. Tumor mutation burden was analyzed using maftools (R package). Tumor immune characterization was completed using CIBERSORTx, a digital cytometry tool that uses single cell reference profiles to determine immune cell type frequencies from bulk-RNA sequencing data. Single cell reference profiles for 19 different immune cell types were constructed from sequencing of freshly resected lung tumor tissue from UCSF patients. Partitioning Around Medoids (PAM; R package) was used to identify distinct immune phenotypes based on immune cell composition. Fisher’s exact test was used to evaluate for associations between immune phenotypes and smoking status. RESULTS/ANTICIPATED RESULTS: Of the 499 TCGA lung adenocarcinoma patients, 75 were never smokers, 269 were female, and 246 were over the age of 65. Never smokers had lower tumor mutation burden and lower predicted neoantigen burden compared to smokers (p < 0.001). There was no difference in total tumor immune cell infiltration between never smokers and smokers. PAM yielded 2 distinct clusters/immune phenotypes. The first was enriched in M1 Macrophages, cytotoxic T Cells, helper T Cells, regulatory T Cells, and Plasma Cells. The second was enriched in plasmacytoid Dendritic Cells, M2 Macrophages, and exhausted cytotoxic T Cells. Never smoking status was associated with an increased odds of having the first immune phenotype (OR 1.95, 95% CI: 1.15 - 3.35) and this association was statistically significant (p = 0.0086). DISCUSSION/SIGNIFICANCE: Our findings suggest that never smokers have an immune phenotype that is distinct from that observed in smokers. The distinct immune characteristics we observed could explain clinical trial data suggesting immune checkpoint inhibitors are less effective in never smokers and hold implications for tailoring therapy.
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title_short	287 Genomic and Immunologic Characterization of Lung Adenocarcinoma in Never Smokers vs. Smokers
url	https://doi.org/10.1017/cts.2023.343 https://doaj.org/article/49bee2f83b1c471abfe2a248884b1ec3 https://www.cambridge.org/core/product/identifier/S2059866123003436/type/journal_article https://doaj.org/toc/2059-8661
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author2	Jessica Tsui Vivianne W. Ding Alexis J. Combes Matthew F. Krummel David M. Jablons Johannes R. Kratz
author2Str	Jessica Tsui Vivianne W. Ding Alexis J. Combes Matthew F. Krummel David M. Jablons Johannes R. Kratz
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up_date	2024-07-03T23:16:10.322Z
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