Genomic and molecular alterations associated with primary resistance to immune checkpoint inhibitors
Abstract The clinical response to immune checkpoint inhibitors may vary by tumor type and many tumors present with either primary or acquired resistance to immunotherapy. Improved understanding of the molecular and immunologic mechanisms underlying immunotherapy resistance is essential for developin...
Ausführliche Beschreibung
Autor*in: |
Malhotra, Jyoti [verfasserIn] De, Subhajyoti [verfasserIn] Nguyen, Kim [verfasserIn] Lee, Percy [verfasserIn] Villaflor, Victoria [verfasserIn] |
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Format: |
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), 11 vom: 13. Sept. |
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Übergeordnetes Werk: |
volume:73 ; year:2024 ; number:11 ; day:13 ; month:09 |
Links: |
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DOI / URN: |
10.1007/s00262-024-03825-z |
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Katalog-ID: |
SPR057315639 |
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10.1007/s00262-024-03825-z doi (DE-627)SPR057315639 (SPR)s00262-024-03825-z-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ 44.81 bkl 44.45 bkl Malhotra, Jyoti verfasserin aut Genomic and molecular alterations associated with primary resistance to immune checkpoint inhibitors 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract The clinical response to immune checkpoint inhibitors may vary by tumor type and many tumors present with either primary or acquired resistance to immunotherapy. Improved understanding of the molecular and immunologic mechanisms underlying immunotherapy resistance is essential for developing biomarkers and for guiding the optimum approach to selecting treatment regimens and sequencing. This is increasingly important for tumors with primary resistance as effective biomarkers in this setting can guide clinicians about appropriate treatment regimen selection in the first-line setting. Multiple potential biological mechanisms of primary resistance have been proposed but most are yet to be validated in prospective clinical cohorts. Individual biomarkers have poor specificity and sensitivity, and the development of validated and integrated predictive models may guide which patient will benefit from monotherapy versus combination therapy. In this review, we discuss the emerging data identifying the molecular mechanisms of primary resistance to immunotherapy and explore potential therapeutic strategies to target these. Molecular (dpeaa)DE-He213 Genomic (dpeaa)DE-He213 Primary resistance (dpeaa)DE-He213 Immunotherapy (dpeaa)DE-He213 De, Subhajyoti verfasserin aut Nguyen, Kim verfasserin aut Lee, Percy verfasserin aut Villaflor, Victoria verfasserin aut Enthalten in Cancer immunology immunotherapy Springer Berlin Heidelberg, 1976 73(2024), 11 vom: 13. Sept. (DE-627)253390443 (DE-600)1458489-X 1432-0851 nnns volume:73 year:2024 number:11 day:13 month:09 https://dx.doi.org/10.1007/s00262-024-03825-z 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_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_150 GBV_ILN_151 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_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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 11 13 09 |
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10.1007/s00262-024-03825-z doi (DE-627)SPR057315639 (SPR)s00262-024-03825-z-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ 44.81 bkl 44.45 bkl Malhotra, Jyoti verfasserin aut Genomic and molecular alterations associated with primary resistance to immune checkpoint inhibitors 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract The clinical response to immune checkpoint inhibitors may vary by tumor type and many tumors present with either primary or acquired resistance to immunotherapy. Improved understanding of the molecular and immunologic mechanisms underlying immunotherapy resistance is essential for developing biomarkers and for guiding the optimum approach to selecting treatment regimens and sequencing. This is increasingly important for tumors with primary resistance as effective biomarkers in this setting can guide clinicians about appropriate treatment regimen selection in the first-line setting. Multiple potential biological mechanisms of primary resistance have been proposed but most are yet to be validated in prospective clinical cohorts. Individual biomarkers have poor specificity and sensitivity, and the development of validated and integrated predictive models may guide which patient will benefit from monotherapy versus combination therapy. In this review, we discuss the emerging data identifying the molecular mechanisms of primary resistance to immunotherapy and explore potential therapeutic strategies to target these. Molecular (dpeaa)DE-He213 Genomic (dpeaa)DE-He213 Primary resistance (dpeaa)DE-He213 Immunotherapy (dpeaa)DE-He213 De, Subhajyoti verfasserin aut Nguyen, Kim verfasserin aut Lee, Percy verfasserin aut Villaflor, Victoria verfasserin aut Enthalten in Cancer immunology immunotherapy Springer Berlin Heidelberg, 1976 73(2024), 11 vom: 13. Sept. (DE-627)253390443 (DE-600)1458489-X 1432-0851 nnns volume:73 year:2024 number:11 day:13 month:09 https://dx.doi.org/10.1007/s00262-024-03825-z 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_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_150 GBV_ILN_151 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_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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 11 13 09 |
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10.1007/s00262-024-03825-z doi (DE-627)SPR057315639 (SPR)s00262-024-03825-z-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ 44.81 bkl 44.45 bkl Malhotra, Jyoti verfasserin aut Genomic and molecular alterations associated with primary resistance to immune checkpoint inhibitors 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract The clinical response to immune checkpoint inhibitors may vary by tumor type and many tumors present with either primary or acquired resistance to immunotherapy. Improved understanding of the molecular and immunologic mechanisms underlying immunotherapy resistance is essential for developing biomarkers and for guiding the optimum approach to selecting treatment regimens and sequencing. This is increasingly important for tumors with primary resistance as effective biomarkers in this setting can guide clinicians about appropriate treatment regimen selection in the first-line setting. Multiple potential biological mechanisms of primary resistance have been proposed but most are yet to be validated in prospective clinical cohorts. Individual biomarkers have poor specificity and sensitivity, and the development of validated and integrated predictive models may guide which patient will benefit from monotherapy versus combination therapy. In this review, we discuss the emerging data identifying the molecular mechanisms of primary resistance to immunotherapy and explore potential therapeutic strategies to target these. Molecular (dpeaa)DE-He213 Genomic (dpeaa)DE-He213 Primary resistance (dpeaa)DE-He213 Immunotherapy (dpeaa)DE-He213 De, Subhajyoti verfasserin aut Nguyen, Kim verfasserin aut Lee, Percy verfasserin aut Villaflor, Victoria verfasserin aut Enthalten in Cancer immunology immunotherapy Springer Berlin Heidelberg, 1976 73(2024), 11 vom: 13. Sept. (DE-627)253390443 (DE-600)1458489-X 1432-0851 nnns volume:73 year:2024 number:11 day:13 month:09 https://dx.doi.org/10.1007/s00262-024-03825-z 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_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_150 GBV_ILN_151 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_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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 11 13 09 |
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10.1007/s00262-024-03825-z doi (DE-627)SPR057315639 (SPR)s00262-024-03825-z-e DE-627 ger DE-627 rakwb eng 610 VZ 610 VZ 44.81 bkl 44.45 bkl Malhotra, Jyoti verfasserin aut Genomic and molecular alterations associated with primary resistance to immune checkpoint inhibitors 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract The clinical response to immune checkpoint inhibitors may vary by tumor type and many tumors present with either primary or acquired resistance to immunotherapy. Improved understanding of the molecular and immunologic mechanisms underlying immunotherapy resistance is essential for developing biomarkers and for guiding the optimum approach to selecting treatment regimens and sequencing. This is increasingly important for tumors with primary resistance as effective biomarkers in this setting can guide clinicians about appropriate treatment regimen selection in the first-line setting. Multiple potential biological mechanisms of primary resistance have been proposed but most are yet to be validated in prospective clinical cohorts. Individual biomarkers have poor specificity and sensitivity, and the development of validated and integrated predictive models may guide which patient will benefit from monotherapy versus combination therapy. In this review, we discuss the emerging data identifying the molecular mechanisms of primary resistance to immunotherapy and explore potential therapeutic strategies to target these. Molecular (dpeaa)DE-He213 Genomic (dpeaa)DE-He213 Primary resistance (dpeaa)DE-He213 Immunotherapy (dpeaa)DE-He213 De, Subhajyoti verfasserin aut Nguyen, Kim verfasserin aut Lee, Percy verfasserin aut Villaflor, Victoria verfasserin aut Enthalten in Cancer immunology immunotherapy Springer Berlin Heidelberg, 1976 73(2024), 11 vom: 13. Sept. (DE-627)253390443 (DE-600)1458489-X 1432-0851 nnns volume:73 year:2024 number:11 day:13 month:09 https://dx.doi.org/10.1007/s00262-024-03825-z 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_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_150 GBV_ILN_151 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_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 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 11 13 09 |
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Enthalten in Cancer immunology immunotherapy 73(2024), 11 vom: 13. Sept. volume:73 year:2024 number:11 day:13 month:09 |
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Abstract The clinical response to immune checkpoint inhibitors may vary by tumor type and many tumors present with either primary or acquired resistance to immunotherapy. Improved understanding of the molecular and immunologic mechanisms underlying immunotherapy resistance is essential for developing biomarkers and for guiding the optimum approach to selecting treatment regimens and sequencing. This is increasingly important for tumors with primary resistance as effective biomarkers in this setting can guide clinicians about appropriate treatment regimen selection in the first-line setting. Multiple potential biological mechanisms of primary resistance have been proposed but most are yet to be validated in prospective clinical cohorts. Individual biomarkers have poor specificity and sensitivity, and the development of validated and integrated predictive models may guide which patient will benefit from monotherapy versus combination therapy. In this review, we discuss the emerging data identifying the molecular mechanisms of primary resistance to immunotherapy and explore potential therapeutic strategies to target these. © The Author(s) 2024 |
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Abstract The clinical response to immune checkpoint inhibitors may vary by tumor type and many tumors present with either primary or acquired resistance to immunotherapy. Improved understanding of the molecular and immunologic mechanisms underlying immunotherapy resistance is essential for developing biomarkers and for guiding the optimum approach to selecting treatment regimens and sequencing. This is increasingly important for tumors with primary resistance as effective biomarkers in this setting can guide clinicians about appropriate treatment regimen selection in the first-line setting. Multiple potential biological mechanisms of primary resistance have been proposed but most are yet to be validated in prospective clinical cohorts. Individual biomarkers have poor specificity and sensitivity, and the development of validated and integrated predictive models may guide which patient will benefit from monotherapy versus combination therapy. In this review, we discuss the emerging data identifying the molecular mechanisms of primary resistance to immunotherapy and explore potential therapeutic strategies to target these. © The Author(s) 2024 |
abstract_unstemmed |
Abstract The clinical response to immune checkpoint inhibitors may vary by tumor type and many tumors present with either primary or acquired resistance to immunotherapy. Improved understanding of the molecular and immunologic mechanisms underlying immunotherapy resistance is essential for developing biomarkers and for guiding the optimum approach to selecting treatment regimens and sequencing. This is increasingly important for tumors with primary resistance as effective biomarkers in this setting can guide clinicians about appropriate treatment regimen selection in the first-line setting. Multiple potential biological mechanisms of primary resistance have been proposed but most are yet to be validated in prospective clinical cohorts. Individual biomarkers have poor specificity and sensitivity, and the development of validated and integrated predictive models may guide which patient will benefit from monotherapy versus combination therapy. In this review, we discuss the emerging data identifying the molecular mechanisms of primary resistance to immunotherapy and explore potential therapeutic strategies to target these. © The Author(s) 2024 |
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