“Heterogeneity of treatment effect on patients’ long-term outcome according to pathological response type in neoadjuvant RCTs for breast cancer.”
Introduction: To provide evidence explaining the poor association between pCR and patients’ long-term outcome at trial-level in neoadjuvant RCTs for breast cancer (BC), we performed a systematic-review and meta-analysis of all RCTs testing neoadjuvant treatments for early-BC and reporting the hazard...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Laura Pala [verfasserIn] Isabella Sala [verfasserIn] Eleonora Pagan [verfasserIn] Tommaso De Pas [verfasserIn] Emma Zattarin [verfasserIn] Chiara Catania [verfasserIn] Emilia Cocorocchio [verfasserIn] Giovanna Rossi [verfasserIn] Daniele Laszlo [verfasserIn] Giovanni Ceresoli [verfasserIn] Jacopo Canzian [verfasserIn] Elena Valenzi [verfasserIn] Vincenzo Bagnardi [verfasserIn] Fabio Conforti [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Übergeordnetes Werk: |
In: Breast - Elsevier, 2020, 73(2024), Seite 103672- |
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| Übergeordnetes Werk: |
volume:73 ; year:2024 ; pages:103672- |
| Links: |
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| DOI / URN: |
10.1016/j.breast.2024.103672 |
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| Katalog-ID: |
DOAJ098407031 |
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| 245 | 1 | 0 | |a “Heterogeneity of treatment effect on patients’ long-term outcome according to pathological response type in neoadjuvant RCTs for breast cancer.” |
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| 520 | |a Introduction: To provide evidence explaining the poor association between pCR and patients’ long-term outcome at trial-level in neoadjuvant RCTs for breast cancer (BC), we performed a systematic-review and meta-analysis of all RCTs testing neoadjuvant treatments for early-BC and reporting the hazard ratio of DFS (HRDFS) for the intervention versus control arm stratified by pathological response type (i.e., pCR yes versus no). Methods: The objective was to explore differences of treatment effects on DFS across patients with and without pCR.We calculated the pooled HRDFS in the two strata of pathological response (i.e., pCR yes versus no) using a random-effects model, and assessed the difference between these two estimates using an interaction test. Results: Ten RCTs and 8496 patients were included in the analysis.Patients obtaining pCR in the intervention-arm had a higher, although not statistically significant, risk of DFS-event as compared with patients obtaining pCR in the control-arm: the pooled HRDFS for the experimental versus control arm was 1.23 (95%CI, 0.91–1.65). On the opposite, the risk of DFS-event was higher for control as compared with the intervention-arm in the stratum of patients without pCR: the pooled HRDFS was 0.86 (95%CI, 0.78–0.95).Treatment effect on DFS was significantly different according to pathological response type (interaction test p: 0.014). Conclusion: We reported new evidence that contributes to explaining the poor surrogacy value of pCR at trial-level in neoadjuvant RCTs for early-BC. | ||
| 653 | 0 | |a Neoplasms. Tumors. Oncology. Including cancer and carcinogens | |
| 700 | 0 | |a Isabella Sala |e verfasserin |4 aut | |
| 700 | 0 | |a Eleonora Pagan |e verfasserin |4 aut | |
| 700 | 0 | |a Tommaso De Pas |e verfasserin |4 aut | |
| 700 | 0 | |a Emma Zattarin |e verfasserin |4 aut | |
| 700 | 0 | |a Chiara Catania |e verfasserin |4 aut | |
| 700 | 0 | |a Emilia Cocorocchio |e verfasserin |4 aut | |
| 700 | 0 | |a Giovanna Rossi |e verfasserin |4 aut | |
| 700 | 0 | |a Daniele Laszlo |e verfasserin |4 aut | |
| 700 | 0 | |a Giovanni Ceresoli |e verfasserin |4 aut | |
| 700 | 0 | |a Jacopo Canzian |e verfasserin |4 aut | |
| 700 | 0 | |a Elena Valenzi |e verfasserin |4 aut | |
| 700 | 0 | |a Vincenzo Bagnardi |e verfasserin |4 aut | |
| 700 | 0 | |a Fabio Conforti |e verfasserin |4 aut | |
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10.1016/j.breast.2024.103672 doi (DE-627)DOAJ098407031 (DE-599)DOAJ8b42a9ebb27043a0b4f19d11a28e6528 DE-627 ger DE-627 rakwb eng RC254-282 Laura Pala verfasserin aut “Heterogeneity of treatment effect on patients’ long-term outcome according to pathological response type in neoadjuvant RCTs for breast cancer.” 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: To provide evidence explaining the poor association between pCR and patients’ long-term outcome at trial-level in neoadjuvant RCTs for breast cancer (BC), we performed a systematic-review and meta-analysis of all RCTs testing neoadjuvant treatments for early-BC and reporting the hazard ratio of DFS (HRDFS) for the intervention versus control arm stratified by pathological response type (i.e., pCR yes versus no). Methods: The objective was to explore differences of treatment effects on DFS across patients with and without pCR.We calculated the pooled HRDFS in the two strata of pathological response (i.e., pCR yes versus no) using a random-effects model, and assessed the difference between these two estimates using an interaction test. Results: Ten RCTs and 8496 patients were included in the analysis.Patients obtaining pCR in the intervention-arm had a higher, although not statistically significant, risk of DFS-event as compared with patients obtaining pCR in the control-arm: the pooled HRDFS for the experimental versus control arm was 1.23 (95%CI, 0.91–1.65). On the opposite, the risk of DFS-event was higher for control as compared with the intervention-arm in the stratum of patients without pCR: the pooled HRDFS was 0.86 (95%CI, 0.78–0.95).Treatment effect on DFS was significantly different according to pathological response type (interaction test p: 0.014). Conclusion: We reported new evidence that contributes to explaining the poor surrogacy value of pCR at trial-level in neoadjuvant RCTs for early-BC. Neoplasms. Tumors. Oncology. Including cancer and carcinogens Isabella Sala verfasserin aut Eleonora Pagan verfasserin aut Tommaso De Pas verfasserin aut Emma Zattarin verfasserin aut Chiara Catania verfasserin aut Emilia Cocorocchio verfasserin aut Giovanna Rossi verfasserin aut Daniele Laszlo verfasserin aut Giovanni Ceresoli verfasserin aut Jacopo Canzian verfasserin aut Elena Valenzi verfasserin aut Vincenzo Bagnardi verfasserin aut Fabio Conforti verfasserin aut In Breast Elsevier, 2020 73(2024), Seite 103672- (DE-627)320475042 (DE-600)2009043-2 15323080 nnns volume:73 year:2024 pages:103672- https://doi.org/10.1016/j.breast.2024.103672 kostenfrei https://doaj.org/article/8b42a9ebb27043a0b4f19d11a28e6528 kostenfrei http://www.sciencedirect.com/science/article/pii/S0960977624000031 kostenfrei https://doaj.org/toc/1532-3080 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_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 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 73 2024 103672- |
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10.1016/j.breast.2024.103672 doi (DE-627)DOAJ098407031 (DE-599)DOAJ8b42a9ebb27043a0b4f19d11a28e6528 DE-627 ger DE-627 rakwb eng RC254-282 Laura Pala verfasserin aut “Heterogeneity of treatment effect on patients’ long-term outcome according to pathological response type in neoadjuvant RCTs for breast cancer.” 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: To provide evidence explaining the poor association between pCR and patients’ long-term outcome at trial-level in neoadjuvant RCTs for breast cancer (BC), we performed a systematic-review and meta-analysis of all RCTs testing neoadjuvant treatments for early-BC and reporting the hazard ratio of DFS (HRDFS) for the intervention versus control arm stratified by pathological response type (i.e., pCR yes versus no). Methods: The objective was to explore differences of treatment effects on DFS across patients with and without pCR.We calculated the pooled HRDFS in the two strata of pathological response (i.e., pCR yes versus no) using a random-effects model, and assessed the difference between these two estimates using an interaction test. Results: Ten RCTs and 8496 patients were included in the analysis.Patients obtaining pCR in the intervention-arm had a higher, although not statistically significant, risk of DFS-event as compared with patients obtaining pCR in the control-arm: the pooled HRDFS for the experimental versus control arm was 1.23 (95%CI, 0.91–1.65). On the opposite, the risk of DFS-event was higher for control as compared with the intervention-arm in the stratum of patients without pCR: the pooled HRDFS was 0.86 (95%CI, 0.78–0.95).Treatment effect on DFS was significantly different according to pathological response type (interaction test p: 0.014). Conclusion: We reported new evidence that contributes to explaining the poor surrogacy value of pCR at trial-level in neoadjuvant RCTs for early-BC. Neoplasms. Tumors. Oncology. Including cancer and carcinogens Isabella Sala verfasserin aut Eleonora Pagan verfasserin aut Tommaso De Pas verfasserin aut Emma Zattarin verfasserin aut Chiara Catania verfasserin aut Emilia Cocorocchio verfasserin aut Giovanna Rossi verfasserin aut Daniele Laszlo verfasserin aut Giovanni Ceresoli verfasserin aut Jacopo Canzian verfasserin aut Elena Valenzi verfasserin aut Vincenzo Bagnardi verfasserin aut Fabio Conforti verfasserin aut In Breast Elsevier, 2020 73(2024), Seite 103672- (DE-627)320475042 (DE-600)2009043-2 15323080 nnns volume:73 year:2024 pages:103672- https://doi.org/10.1016/j.breast.2024.103672 kostenfrei https://doaj.org/article/8b42a9ebb27043a0b4f19d11a28e6528 kostenfrei http://www.sciencedirect.com/science/article/pii/S0960977624000031 kostenfrei https://doaj.org/toc/1532-3080 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_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 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 73 2024 103672- |
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10.1016/j.breast.2024.103672 doi (DE-627)DOAJ098407031 (DE-599)DOAJ8b42a9ebb27043a0b4f19d11a28e6528 DE-627 ger DE-627 rakwb eng RC254-282 Laura Pala verfasserin aut “Heterogeneity of treatment effect on patients’ long-term outcome according to pathological response type in neoadjuvant RCTs for breast cancer.” 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: To provide evidence explaining the poor association between pCR and patients’ long-term outcome at trial-level in neoadjuvant RCTs for breast cancer (BC), we performed a systematic-review and meta-analysis of all RCTs testing neoadjuvant treatments for early-BC and reporting the hazard ratio of DFS (HRDFS) for the intervention versus control arm stratified by pathological response type (i.e., pCR yes versus no). Methods: The objective was to explore differences of treatment effects on DFS across patients with and without pCR.We calculated the pooled HRDFS in the two strata of pathological response (i.e., pCR yes versus no) using a random-effects model, and assessed the difference between these two estimates using an interaction test. Results: Ten RCTs and 8496 patients were included in the analysis.Patients obtaining pCR in the intervention-arm had a higher, although not statistically significant, risk of DFS-event as compared with patients obtaining pCR in the control-arm: the pooled HRDFS for the experimental versus control arm was 1.23 (95%CI, 0.91–1.65). On the opposite, the risk of DFS-event was higher for control as compared with the intervention-arm in the stratum of patients without pCR: the pooled HRDFS was 0.86 (95%CI, 0.78–0.95).Treatment effect on DFS was significantly different according to pathological response type (interaction test p: 0.014). Conclusion: We reported new evidence that contributes to explaining the poor surrogacy value of pCR at trial-level in neoadjuvant RCTs for early-BC. Neoplasms. Tumors. Oncology. Including cancer and carcinogens Isabella Sala verfasserin aut Eleonora Pagan verfasserin aut Tommaso De Pas verfasserin aut Emma Zattarin verfasserin aut Chiara Catania verfasserin aut Emilia Cocorocchio verfasserin aut Giovanna Rossi verfasserin aut Daniele Laszlo verfasserin aut Giovanni Ceresoli verfasserin aut Jacopo Canzian verfasserin aut Elena Valenzi verfasserin aut Vincenzo Bagnardi verfasserin aut Fabio Conforti verfasserin aut In Breast Elsevier, 2020 73(2024), Seite 103672- (DE-627)320475042 (DE-600)2009043-2 15323080 nnns volume:73 year:2024 pages:103672- https://doi.org/10.1016/j.breast.2024.103672 kostenfrei https://doaj.org/article/8b42a9ebb27043a0b4f19d11a28e6528 kostenfrei http://www.sciencedirect.com/science/article/pii/S0960977624000031 kostenfrei https://doaj.org/toc/1532-3080 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_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 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 73 2024 103672- |
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10.1016/j.breast.2024.103672 doi (DE-627)DOAJ098407031 (DE-599)DOAJ8b42a9ebb27043a0b4f19d11a28e6528 DE-627 ger DE-627 rakwb eng RC254-282 Laura Pala verfasserin aut “Heterogeneity of treatment effect on patients’ long-term outcome according to pathological response type in neoadjuvant RCTs for breast cancer.” 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: To provide evidence explaining the poor association between pCR and patients’ long-term outcome at trial-level in neoadjuvant RCTs for breast cancer (BC), we performed a systematic-review and meta-analysis of all RCTs testing neoadjuvant treatments for early-BC and reporting the hazard ratio of DFS (HRDFS) for the intervention versus control arm stratified by pathological response type (i.e., pCR yes versus no). Methods: The objective was to explore differences of treatment effects on DFS across patients with and without pCR.We calculated the pooled HRDFS in the two strata of pathological response (i.e., pCR yes versus no) using a random-effects model, and assessed the difference between these two estimates using an interaction test. Results: Ten RCTs and 8496 patients were included in the analysis.Patients obtaining pCR in the intervention-arm had a higher, although not statistically significant, risk of DFS-event as compared with patients obtaining pCR in the control-arm: the pooled HRDFS for the experimental versus control arm was 1.23 (95%CI, 0.91–1.65). On the opposite, the risk of DFS-event was higher for control as compared with the intervention-arm in the stratum of patients without pCR: the pooled HRDFS was 0.86 (95%CI, 0.78–0.95).Treatment effect on DFS was significantly different according to pathological response type (interaction test p: 0.014). Conclusion: We reported new evidence that contributes to explaining the poor surrogacy value of pCR at trial-level in neoadjuvant RCTs for early-BC. Neoplasms. Tumors. Oncology. Including cancer and carcinogens Isabella Sala verfasserin aut Eleonora Pagan verfasserin aut Tommaso De Pas verfasserin aut Emma Zattarin verfasserin aut Chiara Catania verfasserin aut Emilia Cocorocchio verfasserin aut Giovanna Rossi verfasserin aut Daniele Laszlo verfasserin aut Giovanni Ceresoli verfasserin aut Jacopo Canzian verfasserin aut Elena Valenzi verfasserin aut Vincenzo Bagnardi verfasserin aut Fabio Conforti verfasserin aut In Breast Elsevier, 2020 73(2024), Seite 103672- (DE-627)320475042 (DE-600)2009043-2 15323080 nnns volume:73 year:2024 pages:103672- https://doi.org/10.1016/j.breast.2024.103672 kostenfrei https://doaj.org/article/8b42a9ebb27043a0b4f19d11a28e6528 kostenfrei http://www.sciencedirect.com/science/article/pii/S0960977624000031 kostenfrei https://doaj.org/toc/1532-3080 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_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 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 73 2024 103672- |
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10.1016/j.breast.2024.103672 doi (DE-627)DOAJ098407031 (DE-599)DOAJ8b42a9ebb27043a0b4f19d11a28e6528 DE-627 ger DE-627 rakwb eng RC254-282 Laura Pala verfasserin aut “Heterogeneity of treatment effect on patients’ long-term outcome according to pathological response type in neoadjuvant RCTs for breast cancer.” 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: To provide evidence explaining the poor association between pCR and patients’ long-term outcome at trial-level in neoadjuvant RCTs for breast cancer (BC), we performed a systematic-review and meta-analysis of all RCTs testing neoadjuvant treatments for early-BC and reporting the hazard ratio of DFS (HRDFS) for the intervention versus control arm stratified by pathological response type (i.e., pCR yes versus no). Methods: The objective was to explore differences of treatment effects on DFS across patients with and without pCR.We calculated the pooled HRDFS in the two strata of pathological response (i.e., pCR yes versus no) using a random-effects model, and assessed the difference between these two estimates using an interaction test. Results: Ten RCTs and 8496 patients were included in the analysis.Patients obtaining pCR in the intervention-arm had a higher, although not statistically significant, risk of DFS-event as compared with patients obtaining pCR in the control-arm: the pooled HRDFS for the experimental versus control arm was 1.23 (95%CI, 0.91–1.65). On the opposite, the risk of DFS-event was higher for control as compared with the intervention-arm in the stratum of patients without pCR: the pooled HRDFS was 0.86 (95%CI, 0.78–0.95).Treatment effect on DFS was significantly different according to pathological response type (interaction test p: 0.014). Conclusion: We reported new evidence that contributes to explaining the poor surrogacy value of pCR at trial-level in neoadjuvant RCTs for early-BC. Neoplasms. Tumors. Oncology. Including cancer and carcinogens Isabella Sala verfasserin aut Eleonora Pagan verfasserin aut Tommaso De Pas verfasserin aut Emma Zattarin verfasserin aut Chiara Catania verfasserin aut Emilia Cocorocchio verfasserin aut Giovanna Rossi verfasserin aut Daniele Laszlo verfasserin aut Giovanni Ceresoli verfasserin aut Jacopo Canzian verfasserin aut Elena Valenzi verfasserin aut Vincenzo Bagnardi verfasserin aut Fabio Conforti verfasserin aut In Breast Elsevier, 2020 73(2024), Seite 103672- (DE-627)320475042 (DE-600)2009043-2 15323080 nnns volume:73 year:2024 pages:103672- https://doi.org/10.1016/j.breast.2024.103672 kostenfrei https://doaj.org/article/8b42a9ebb27043a0b4f19d11a28e6528 kostenfrei http://www.sciencedirect.com/science/article/pii/S0960977624000031 kostenfrei https://doaj.org/toc/1532-3080 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_165 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2008 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 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 73 2024 103672- |
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Laura Pala @@aut@@ Isabella Sala @@aut@@ Eleonora Pagan @@aut@@ Tommaso De Pas @@aut@@ Emma Zattarin @@aut@@ Chiara Catania @@aut@@ Emilia Cocorocchio @@aut@@ Giovanna Rossi @@aut@@ Daniele Laszlo @@aut@@ Giovanni Ceresoli @@aut@@ Jacopo Canzian @@aut@@ Elena Valenzi @@aut@@ Vincenzo Bagnardi @@aut@@ Fabio Conforti @@aut@@ |
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Laura Pala |
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RC254-282 “Heterogeneity of treatment effect on patients’ long-term outcome according to pathological response type in neoadjuvant RCTs for breast cancer.” |
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“Heterogeneity of treatment effect on patients’ long-term outcome according to pathological response type in neoadjuvant RCTs for breast cancer.” |
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“Heterogeneity of treatment effect on patients’ long-term outcome according to pathological response type in neoadjuvant RCTs for breast cancer.” |
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Laura Pala Isabella Sala Eleonora Pagan Tommaso De Pas Emma Zattarin Chiara Catania Emilia Cocorocchio Giovanna Rossi Daniele Laszlo Giovanni Ceresoli Jacopo Canzian Elena Valenzi Vincenzo Bagnardi Fabio Conforti |
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“heterogeneity of treatment effect on patients’ long-term outcome according to pathological response type in neoadjuvant rcts for breast cancer.” |
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“Heterogeneity of treatment effect on patients’ long-term outcome according to pathological response type in neoadjuvant RCTs for breast cancer.” |
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Introduction: To provide evidence explaining the poor association between pCR and patients’ long-term outcome at trial-level in neoadjuvant RCTs for breast cancer (BC), we performed a systematic-review and meta-analysis of all RCTs testing neoadjuvant treatments for early-BC and reporting the hazard ratio of DFS (HRDFS) for the intervention versus control arm stratified by pathological response type (i.e., pCR yes versus no). Methods: The objective was to explore differences of treatment effects on DFS across patients with and without pCR.We calculated the pooled HRDFS in the two strata of pathological response (i.e., pCR yes versus no) using a random-effects model, and assessed the difference between these two estimates using an interaction test. Results: Ten RCTs and 8496 patients were included in the analysis.Patients obtaining pCR in the intervention-arm had a higher, although not statistically significant, risk of DFS-event as compared with patients obtaining pCR in the control-arm: the pooled HRDFS for the experimental versus control arm was 1.23 (95%CI, 0.91–1.65). On the opposite, the risk of DFS-event was higher for control as compared with the intervention-arm in the stratum of patients without pCR: the pooled HRDFS was 0.86 (95%CI, 0.78–0.95).Treatment effect on DFS was significantly different according to pathological response type (interaction test p: 0.014). Conclusion: We reported new evidence that contributes to explaining the poor surrogacy value of pCR at trial-level in neoadjuvant RCTs for early-BC. |
| abstractGer |
Introduction: To provide evidence explaining the poor association between pCR and patients’ long-term outcome at trial-level in neoadjuvant RCTs for breast cancer (BC), we performed a systematic-review and meta-analysis of all RCTs testing neoadjuvant treatments for early-BC and reporting the hazard ratio of DFS (HRDFS) for the intervention versus control arm stratified by pathological response type (i.e., pCR yes versus no). Methods: The objective was to explore differences of treatment effects on DFS across patients with and without pCR.We calculated the pooled HRDFS in the two strata of pathological response (i.e., pCR yes versus no) using a random-effects model, and assessed the difference between these two estimates using an interaction test. Results: Ten RCTs and 8496 patients were included in the analysis.Patients obtaining pCR in the intervention-arm had a higher, although not statistically significant, risk of DFS-event as compared with patients obtaining pCR in the control-arm: the pooled HRDFS for the experimental versus control arm was 1.23 (95%CI, 0.91–1.65). On the opposite, the risk of DFS-event was higher for control as compared with the intervention-arm in the stratum of patients without pCR: the pooled HRDFS was 0.86 (95%CI, 0.78–0.95).Treatment effect on DFS was significantly different according to pathological response type (interaction test p: 0.014). Conclusion: We reported new evidence that contributes to explaining the poor surrogacy value of pCR at trial-level in neoadjuvant RCTs for early-BC. |
| abstract_unstemmed |
Introduction: To provide evidence explaining the poor association between pCR and patients’ long-term outcome at trial-level in neoadjuvant RCTs for breast cancer (BC), we performed a systematic-review and meta-analysis of all RCTs testing neoadjuvant treatments for early-BC and reporting the hazard ratio of DFS (HRDFS) for the intervention versus control arm stratified by pathological response type (i.e., pCR yes versus no). Methods: The objective was to explore differences of treatment effects on DFS across patients with and without pCR.We calculated the pooled HRDFS in the two strata of pathological response (i.e., pCR yes versus no) using a random-effects model, and assessed the difference between these two estimates using an interaction test. Results: Ten RCTs and 8496 patients were included in the analysis.Patients obtaining pCR in the intervention-arm had a higher, although not statistically significant, risk of DFS-event as compared with patients obtaining pCR in the control-arm: the pooled HRDFS for the experimental versus control arm was 1.23 (95%CI, 0.91–1.65). On the opposite, the risk of DFS-event was higher for control as compared with the intervention-arm in the stratum of patients without pCR: the pooled HRDFS was 0.86 (95%CI, 0.78–0.95).Treatment effect on DFS was significantly different according to pathological response type (interaction test p: 0.014). Conclusion: We reported new evidence that contributes to explaining the poor surrogacy value of pCR at trial-level in neoadjuvant RCTs for early-BC. |
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“Heterogeneity of treatment effect on patients’ long-term outcome according to pathological response type in neoadjuvant RCTs for breast cancer.” |
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https://doi.org/10.1016/j.breast.2024.103672 https://doaj.org/article/8b42a9ebb27043a0b4f19d11a28e6528 http://www.sciencedirect.com/science/article/pii/S0960977624000031 https://doaj.org/toc/1532-3080 |
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Isabella Sala Eleonora Pagan Tommaso De Pas Emma Zattarin Chiara Catania Emilia Cocorocchio Giovanna Rossi Daniele Laszlo Giovanni Ceresoli Jacopo Canzian Elena Valenzi Vincenzo Bagnardi Fabio Conforti |
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